Download Publications

Burks, J. H., Bruce, L. K., Kasl, P., Soltani, S., Viswanath, V., Hartogensis, W., Dilchert, S., Hecht, F. M., Dasgupta, S., Altintas, I., Gupta, A., Mason, A. E., & Smarr, B. L.
npj Women’s Health, 2(1)
(2024)

In tasks involving human health condition data, feature selection is heavily affected by data types, the complexity of the condition manifestation, and the variability in physiological presentation. One type of variability often overlooked or oversimplified is the effect of biological sex. As females have been chronically underrepresented in clinical research, we know less about how conditions manifest in females. Innovations in wearable technology have enabled individuals to generate high temporal resolution data for extended periods of time. With millions of days of data now available, additional feature selection pipelines should be developed to systematically identify sex-dependent variability in data, along with the effects of how many per-person data are included in analysis. Here we present a set of statistical approaches as a technique for identifying sex-dependent physiological and behavioral manifestations of complex diseases starting from longitudinal data, which are evaluated on diabetes, hypertension, and their comorbidity.

Kasl, P., Soltani, S., Bruce, L. K., Viswanath, V. K., Hartogensis, W., Gupta, A., Altintas, I., Dilchert, S., Hecht, F. M., Mason, A., & Smarr, B. L.
Proceedings of Machine Learning Research, 248
(2024)

Large-scale wearable datasets are increasingly being used for biomedical research and to develop machine learning (ML) models for longitudinal health monitoring applications. However, it is largely unknown whether biases in these datasets lead to findings that do not generalize. Here, we present the first comparison of the data underlying multiple longitudinal, wearable-device-based datasets. We examine participant-level resting heart rate (HR) from four studies, each with thousands of wearable device users. We demonstrate that multiple regression, a community standard statistical approach, leads to conflicting conclusions about important demographic variables (age vs resting HR) and significant intra- and interdataset differences in HR. We then directly test the cross-dataset generalizability of a commonly used ML model trained for three existing day-level monitoring tasks: prediction of testing positive for a respiratory virus, flu symptoms, and fever symptoms. Regardless of task, most models showed relative performance loss on external datasets; most of this performance change can be attributed to concept shift between datasets. These findings suggest that research using large-scale, pre-existing wearable datasets might face bias and generalizability challenges similar to research in more established biomedical and ML disciplines. We hope that the findings from this study will encourage discussion in the wearable-ML community around standards that anticipate and account for challenges in dataset bias and model generalizability.

Viswanath, V. K., Hartogenesis, W., Dilchert, S., Pandya, L., Hecht, F. M., Mason, A. E., Wang, E. J., & Smarr, B. L.
npj Digital Medicine, 7(150)
(2024)

Sleep monitoring has become widespread with the rise of affordable wearable devices. However, converting sleep data into actionable change remains challenging as diverse factors can cause combinations of sleep parameters to differ both between people and within people over time. Researchers have attempted to combine sleep parameters to improve detecting similarities between nights of sleep. The cluster of similar combinations of sleep parameters from a night of sleep defines that night’s sleep phenotype. To date, quantitative models of sleep phenotype made from data collected from large populations have used cross-sectional data, which preclude longitudinal analyses that could better quantify differences within individuals over time. In analyses reported here, we used five million nights of wearable sleep data to test (a) whether an individual’s sleep phenotype changes over time and (b) whether these changes elucidate new information about acute periods of illness (e.g., flu, fever, COVID-19). We found evidence for 13 sleep phenotypes associated with sleep quality and that individuals transition between these phenotypes over time. Patterns of transitions significantly differ (i) between individuals (with vs. without a chronic health condition; chi-square test; p-value < 1e−100) and (ii) within individuals over time (before vs. during an acute condition; Chi-Square test; p-value < 1e−100). Finally, we found that the patterns of transitions carried more information about chronic and acute health conditions than did phenotype membership alone (longitudinal analyses yielded 2–10× as much information as cross-sectional analyses). These results support the use of temporal dynamics in the future development of longitudinal sleep analyses.

Jacob M. Ryan, Shreenithi Navaneethan, Natalie Damaso,
Stephan Dilchert, Wendy Hartogensis, Joseph L. Natale,
Frederick M. Hecht, Ashley E. Mason, & Benjamin L. Smarr
Frontiers in Network Physiology
2024

Algorithms for the detection of COVID-19 illness from wearable sensor devices tend to implicitly treat the disease as causing a stereotyped (and therefore recognizable) deviation from healthy physiology. In contrast, a substantial diversity of bodily responses to SARS-CoV-2 infection have been reported in the clinical milieu. This raises the question of how to characterize the diversity of illness manifestations, and whether such characterization could reveal meaningful relationships across different illness manifestations. Here, we present a framework motivated by information theory to generate quantified maps of illness presentation, which we term “manifestations,” as resolved by continuous physiological data from a wearable device (Oura Ring). We test this framework on five physiological data streams (heart rate, heart rate variability, respiratory rate, metabolic activity, and sleep temperature) assessed at the time of reported illness onset in a previously reported COVID-19-positive cohort (N = 73). We find that the number of distinct manifestations are few in this cohort, compared to the space of all possible manifestations. In addition, manifestation frequency correlates with the rough number of symptoms reported by a given individual, over a several-day period prior to their imputed onset of illness. These findings suggest that information-theoretic approaches can be used to sort COVID-19 illness manifestations into types with real-world value. This proof of concept supports the use of information-theoretic approaches to map illness manifestations from continuous physiological data. Such approaches could likely inform algorithm design and real-time treatment decisions if developed on large, diverse samples.

Kasl, P., Bruce, L. K., Hartogensis, W., Dasgupta, S., Pandya, L. S., Dilchert, S., Hecht, F. M., Gupta, A., Altintas, I., Mason, A. E., & Smarr, B. L.
Sensors, 24(6)
(2024)

Commercially available wearable devices (wearables) show promise for continuous physiological monitoring. Previous works have demonstrated that wearables can be used to detect the onset of acute infectious diseases, particularly those characterized by fever. We aimed to evaluate whether these devices could be used for the more general task of syndromic surveillance. We obtained wearable device data (Oura Ring) from 63,153 participants. We constructed a dataset using participants’ wearable device data and participants’ responses to daily online questionnaires. We included days from the participants if they (1) completed the questionnaire, (2) reported not experiencing fever and reported a self-collected body temperature below 38 ◦C (negative class), or reported experiencing fever and reported a self-collected body temperature at or above 38 ◦C (positive class), and (3) wore the wearable device the nights before and after that day. We used wearable device data (i.e., skin temperature, heart rate, and sleep) from the nights before and after participants’ fever day to train a tree-based classifier to detect self-reported fevers. We evaluated the performance of our model using a five-fold cross-validation scheme. Sixteen thousand, seven hundred, and ninety-four participants provided at least one valid ground truth day; there were a total of 724 fever days (positive class examples) from 463 participants and 342,430 non-fever days (negative class examples) from 16,687 participants. Our model exhibited an area under the receiver operating characteristic curve (AUROC) of 0.85 and an average precision (AP) of 0.25. At a sensitivity of 0.50, our calibrated model had a false positive rate of 0.8%. Our results suggest that it might be possible to leverage data from these devices at a public health level for live fever surveillance. Implementing these models could increase our ability to detect disease prevalence and spread in real-time during infectious disease outbreaks.

Mason, A. E., Kasl, P., Soltani, S., Green, A., Hartogensis, W., Dilchert, S., Chowdhary, A., Pandya, L. S., Siwik, C. J., Foster, S. L., Nyer, M., Lowry, C. A., Raison, C. L., Hecht, F. M., & Smarr, B. L.
Scientific Reports, 14(1)
(2024)

Correlations between altered body temperature and depression have been reported in small samples; greater confidence in these associations would provide a rationale for further examining potential mechanisms of depression related to body temperature regulation. We sought to test the hypotheses that greater depression symptom severity is associated with (1) higher body temperature, (2) smaller differences between body temperature when awake versus asleep, and (3) lower diurnal body temperature amplitude. Data collected included both self-reported body temperature (using standard thermometers), wearable sensor-assessed distal body temperature (using an off-the-shelf wearable sensor that collected minute-level physiological data), and self-reported depressive symptoms from > 20,000 participants over the course of ~ 7 months as part of the TemPredict Study. Higher self-reported and wearable sensor-assessed body temperatures when awake were associated with greater depression symptom severity. Lower diurnal body temperature amplitude, computed using wearable sensor-assessed distal body temperature data, tended to be associated with greater depression symptom severity, though this association did not achieve statistical significance. These findings, drawn from a large sample, replicate and expand upon prior data pointing to body temperature alterations as potentially relevant factors in depression etiology and may hold implications for development of novel approaches to the treatment of major depressive disorder.

Deller, J., Albrecht, A.-G., Dilchert, S., Ones, D. S., & Paulus, F. M.
In J. Henze, S. J. Kulich, & Z. Wang (Eds.), Deutsch-Chinesische Perspektiven interkultureller Kommunikation und Kompetenz (pp. 165–184).
Springer Fachmedien
(2023)

Das Kapitel beschreibt die Ausgangslage und Methodik der iGOES Studie (international generalizability of expatriates success). Berichtet werden ausgewählte Ergebnisse in Bezug auf den Zusammenhang zwischen der Persönlichkeitsdimension Offenheit und ihren Facetten sowie der Anpassung, Arbeits- und Lebenszufriedenheit von Expatriates. Darüber hinaus werden Mittelwertsunterschiede in Offenheit zwischen den über 2000 interviewten Expatriates und der deutschsprachigen Normpopulation beschrieben. Entwicklungen und weiterhin offene Forschungsfragen im Bereich des Expatriate Management werden dargelegt.

Bruce, L. K., Kasl, P., Soltani, S., Viswanath, V. K., Hartogensis, W., Dilchert, S., Hecht, F. M., Chowdhary, A., Anglo, C., Pandya, L., Dasgupta, S., Altintas, I., Gupta, A., Mason, A. E., & Smarr, B.
Biology of Sex Differences, 14(76)
(2023)

Females have been historically excluded from biomedical research due in part to the documented presumption that results with male subjects will generalize effectively to females. This has been justified in part by the assumption that ovarian rhythms will increase the overall variance of pooled random samples. But not all variance in samples is random. Human biometrics are continuously hanging in response to stimuli and biological rhythms; single measurements taken sporadically do not easily support exploration of variance across time scales. Recently we reported that in mice, core body temperature measured longitudinally shows higher variance in males than cycling females, both within and across individuals at multiple time scales. Here, we explore longitudinal human distal body temperature, measured by a wearable sensor device (Oura Ring), for 6 months in females and males ranging in age from 20 to 79 years. In this study, we did not limit the comparisons to female versus male, but instead we developed a method for categorizing individuals as cyclic or acyclic depending on the presence of a roughly monthly pattern to their nightly temperature. We then compared structure and variance across time scales using multiple standard instruments. Sex differences exist as expected, but across multiple statistical comparisons and timescales, there was no one group that consistently exceeded the others in variance. When variability was assessed across time, females, whether or not their temperature contained monthly cycles, id not significantly differ from males both on daily and monthly time scales. These findings contradict the viewpoint that human females are too variable across menstrual cycles to include in biomedical research. Longitudinal temperature of females does not accumulate greater measurement error over time than do males and the majority of unexplained variance is within sex category, not between them.

Shiba, S. K., Temple, C. A., Krasnoff, J., Dilchert, S., Smarr, B. L., Robishaw, J., & Mason, A. E.
Cureus, 15(9)
(2023)

Identifying early signs of a SARS-CoV-2 infection in healthcare workers could be a critical tool in reducing disease transmission. To provide this information, both daily symptom surveys and wearable device monitoring could have utility, assuming there is a sufficiently high evel of participant adherence. The aim of this study is to evaluate adherence to a daily symptom survey and a wearable device (Oura Ring) among healthcare professionals (attending physicians and other clinical staff) and trainees (residents and medical students) in a hospital etting during the early stages of the COVID-19 pandemic. Wearable device adherence was significantly higher than the daily symptom survey adherence for most participants. Overall, participants were highly adherent to the wearable device, wearing the device an average of 87.8 1.6% of study nights compared to survey submission, showing an average of 63.8 ± 27.4% of study days. In subgroup analysis, we found that healthcare professionals (HCPs) and medical students had the highest adherence to wearing the wearable device, while medical residents had ower adherence in both wearable adherence and daily symptom survey adherence.These results indicated high participant adherence to wearable devices to monitor for impending infection in the course of a research study conducted as part of clinical practice. Subgroup analysis ndicated HCPs and medical students maintained high adherence, but residents’ adherence was lower, which is likely multifactorial, with differences in work demands and stress contributing to the findings. These results can guide the development of adherence strategies for a wearable device to increase the quality of data collection and assist in disease detection in this and future pandemics.

Klein, A., Puldon, K., Dilchert, S., Hartogensis, W., Chowdhary, A., Anglo, C., Pandya, L. S., Hecht, F. M., Mason, A. E., & Smarr, B. L.
Frontiers in Big Data, 5.
(2022)

Daily symptom reporting collected via web-based symptom survey tools holds the potential to improve disease monitoring. Such screening tools might be able to not only discriminate between states of acute illness and non-illness, but also make use of additional demographic information so as to identify how illnesses may differ across groups, such as biological sex. These capabilities may play an important role in the context of future disease outbreaks. We used daily symptom profiles to plot symptom progressions for COVID-19, influenza (flu), and the common cold. We then built a Bayesian network to discriminate between these three illnesses based on daily symptom reports. We identified key symptoms that contributed to a COVID-19 prediction in both males and females using a logistic regression model. Although the Bayesian model performed only moderately well in identifying a COVID-19 diagnosis (71.6% true positive rate), the model showed promise in being able to differentiate between COVID-19, flu, and the common cold, as well as periods of acute illness vs. non-illness. Additionally, COVID-19 symptoms differed between the biological sexes; specifically, fever was amore important symptom in identifying subsequent COVID-19 infection among males than among females.

Mason, A. E., Hecht, F. M., Davis, S. K., Natale, J. L., Hartogensis, W., Damaso, N., Claypool, K. T., Dilchert, S., […] & Smarr, B. L.
Scientific Reports, 12(1), 3463.
(2022)

Early detection of diseases such as COVID-19 could be a critical tool in reducing disease transmission by helping individuals recognize when they should self-isolate, seek testing, and obtain early medical intervention. Consumer wearable devices that continuously measure physiological metrics hold promise as tools for early illness detection. We gathered daily questionnaire data and physiological data using a consumer wearable (Oura Ring) from 63,153 participants, of whom 704 self-reported possible COVID-19 disease. We selected 73 of these 704 participants with reliable confirmation of COVID-19 by PCR testing and high-quality physiological data for algorithm training to identify onset of COVID-19 using machine learning classification. The algorithm identified COVID-19 an average of 2.75 days before participants sought diagnostic testing with a sensitivity of 82% and specificity of 63%. The receiving operating characteristic (ROC) area under the curve (AUC) was 0.819 (95% CI [0.809, 0.830]). Including continuo s temperature yielded an AUC 4.9% higher than without this feature. For further validation, we obtained SARS CoV-2 antibody in a subset of participants and identified 10 additional participants who self-reported COVID-19 disease with antibody confirmation. The algorithm had an overall ROC AUC of 0.819 (95% CI [0.809, 0.830]), with a sensitivity of 90% and specificity of 80% in these additional participants. Finally, we observed substantial variation in accuracy based on age and biological sex. Findings highlight the importance of including temperature assessment, using continuous physiological features for alignment, and including diverse populations in algorithm development to optimize accuracy in COVID-19 detection from wearables.

Mason, A. E., Kasl, P., Hartogensis, W., Natale, J. L., Dilchert, S., Dasgupta, S., Purawat, S., Chowdhary, A., Anglo, C., Veasna, D., Pandya, L. S., Fox, L. M., Puldon, K. Y., Prather, J. G., Gupta, A., Altintas, I., Smarr, B. L., & Hecht, F. M.
Vaccines, 10(2), 264.
(2022)

There is significant variability in neutralizing antibody responses (which correlate with immune protection) after COVID-19 vaccination, but only limited information is available about predictors of these responses. We investigated whether device-generated summaries of physiological metrics collected by a wearable device correlated with post-vaccination levels of antibodies to the SARS-CoV-2 receptor-binding domain (RBD), the target of neutralizing antibodies generated by existing COVID-19 vaccines. One thousand, one hundred and seventy-nine participants wore an off-the-shelf wearable device (Oura Ring), reported dates of COVID-19 vaccinations, and completed testing for antibodies to the SARS-CoV-2 RBD during the U.S. COVID-19 vaccination rollout. We found that on the night immediately following the second mRNA injection (Moderna-NIAID and Pfizer-BioNTech) increases in dermal temperature deviation and resting heart rate, and decreases in heart rate variability (a measure of sympathetic nervous system activati n) and deep sleep were each statistically significantly correlated with greater RBD antibody responses. These associations were stronger in models using metrics adjusted for the pre-vaccination baseline period. Greater temperature deviation emerged as the strongest independent predictor of greater RBD antibody responses in multivariable models. In contrast to data on certain other vaccines, we did not find clear associations between increased sleep surrounding vaccination and antibody responses.

Ones, D. S., Dilchert, S., Giordano, C., Stanek, K. C., & Viswesvaran, C.
European Journal of Personality, 34(4), 538–541.
(2020)

The HEXACO personality model does not provide an accurate organization of the personality domain: it over-relies on lexical research, focuses on one level of the personality hierarchy, and lacks coherent theory. The HEXACO personality inventory overemphasizes internal consistency, factorial homogeneity, and unidimensionality; lacks construct coverage and has construct validity problems.

Smarr, B. L., Aschbacher, K., Fisher, S. M., Chowdhary, A., Dilchert, S., Puldon, K., Rao, A., Hecht, F. M., & Mason, A. E.
Scientific Reports, 10(1), 21640.
(2020)

Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable largescale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID- 19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detec illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.

Wiernik, B. M., Ones, D. S., Marlin, B. M., Giordano, C., Dilchert, S., Mercado, B. K., Stanek, K. C., Birkland, A., Wang, Y., Ellis, B., Yazar, Y., Kostal, J. W., Kumar, S., Hnat, T., Ertin, E., Sano, A., Ganesan, D. K., Choudhoury, T., & al’Absi, M.
European Journal of Psychological Assessment, 36(6), 935–947.
(2020)

Research interest in personality dynamics over time is rapidly growing. Passive personality assessment via mobile sensors offers an intriguing new approach for measuring a wide variety of personality dynamics. In this paper, we address the possibility of integrating sensorbased assessments to enhance personality dynamics research. We consider a variety of research designs that can incorporate sensor-based measures and address pitfalls and limitations in terms of psychometrics and practical implementation. We also consider analytic challenges related to data quality and model evaluation that researchers must address when applying machine learning methods to translate sensor data into composite personality assessments.

Dilchert, S., Ones, D. S., & Krueger, R. F.
Industrial and Organizational Psychology, 12(2), 143-150.
(2019)

Personality tests are reliable and valid tools that can aid organizations in identifying suitable employees. They provide utility for maximizing organizational productivity and for avoiding claims of negligent hiring. When properly deployed, personality tests (both normal and abnormal/clinical) pose little threat of violating individuals’ rights under the Americans with Disabilities Act (ADA) or other Equal Employment Opportunity–related laws and regulations. As evidenced by a dearth of successful legal challenges, even with increasing use of personality tests in recent years, organizations have become educated and sophisticated with regard to the ethical and legal use of such tests in employment settings. We predict this trend will continue, incorporating recent developments relating to contemporary models of psychopathology (Kotov et al., 2017; Markon, Krueger, & Watson, 2005), neurobiologically informed theoretical explanations of psychopathology (DeYoung & Krueger, 2018), and the alternative model of personality disorders (AMPD) included in the most recent edition of the American Psychiatric Association’s (APA) Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition; DSM-5).

Wiernik, B. M., Ones, D. S., Dilchert, S., & Klein, R. M.
In A. McWilliams, D. E. Rupp, D. S. Siegel, G. K. Stahl, & D. A. Waldman (Eds.), The Oxford handbook of corporate social responsibility: Psychological and organizational perspectives (pp. 123–155).
Oxford University Press
(2019)

Corporate social responsibility is increasingly regarded as an important performance domain for organizations. Critical to implementing responsible organizational policies and initiatives, however, are the behaviors by individual employees at all levels of the organizational hierarchy. This chapter reviews the nature, structure, and dispositional antecedents of individual-level responsible business behaviors contributing to organizational CSR efforts. It focuses on two domains of employee responsible—externally directed citizenship behaviors (OCB-X) and employee green behaviors. Their divergent conceptualizations, measures, and dispositional antecedents are reviewed. Four major limitations pervade the literatures on OCB-X and employee green behaviors, and consequently hinder progress on understanding the individual-level (micro) foundations of CSR. Suggestions and directions for future research are offered to improve scholarship, understanding, and applications involving these constructs.

Aytug, Z. G., Kern, M. C., & Dilchert, S.
International Journal of Intercultural Relations, 65, 1-16.
(2018)

In response to the lack of a psychometrically tested instrument that can measure different types and modes of multicultural experience (MCE), we introduce the Multicultural Experience Assessment scale (MExA) that distinguishes between multicultural exposures and multicultural interactions, which are measured based on frequency, duration, and breadth. We evaluated MExA’s factor structure, internal consistency, and construct-related validity in six studies using highly diverse student and U.S. national samples (total N=1373). Exploratory and confirmatory factor analyses confirmed the two-factor structure. Results provide full support for the convergent and criterion-related validity, and partial support for discriminant validity, and reveal high internal consistency of the subscales. Exploratory results identified frequency (vs. duration and breadth) of MCE as a better predictor of creativity. This research improves our understanding of the MCE construct and presents a psychometrically tested measure to investigate its dimensions and their relationships with other constructs.

Dilchert, S.
International Journal of Selection and Assessment, 26(1), 49-56.
(2018)

This article introduces the concept of ‘counterproductive sustainability behaviors’ (CSB) as a novel expression of counterproductive work behaviors (CWB). It presents a short measure of CSB that applies the construct of counterproductivity to employee behaviors in the environmental sustainability domain. Personality assessments were administered to three independent samples— employed students, experienced employees, and job applicants—to investigate the relationship between personality and CSB (self-reports and other-rated), and to compare results to those obtained in the prediction of traditional CWB.

Dilchert, S.
In D. S. Ones, N. Anderson, C. Viswesvaran, & H. Sinangil (Eds.)
The SAGE Handbook of Industrial, Work and Organizational Psychology: Vol. 1. Personnel psychology and employee performance (2nd ed., pp. 248–276).
SAGE
(2018)

This chapter summarizes important issues surrounding the use of cognitive ability tests in organizational settings, and highlights new developments that are becoming particularly pertinent given demographic changes in many societies and international economic trends (e.g., age differences, cross-cultural assessment, internet-based testing).

Mercado, B. K., Dilchert, S., Giordano, C., & Ones, D. S.
In D. S. Ones, N. Anderson, C. Viswesvaran, & H. Sinangil (Eds.)
The SAGE handbook of industrial, work and organizational psychology: Vol. 1. Personnel psychology and employee performance (2nd ed., pp. 109–211).
SAGE
(2018)

The scholarly literature that has investigated CWB is as rich and varied as the behavioral domain it addresses. Although this body of research is extensive, there remain many important literature gaps. In this chapter, we seek to provide a fundamental understanding of the nature, assessment, and nomological network of CWB. We also highlight emerging opportunities to contribute to this research domain, thereby catalyzing future research. Our hope is that readers will depart from this chapter with answers as well as new questions.

Ones, D. S., Dilchert, S., Wiernik, B. M., & Klein, R. M.
In D. S. Ones, N. Anderson, C. Viswesvaran, & H. Sinangil (Eds.)
The SAGE handbook of industrial, work and organizational psychology: Vol. 3. Managerial psychology and organizational approaches (2nd ed., pp. 351–373).
SAGE
(2018)

this chapter, we discuss environmental sustainability in and of organizations. Specifically, we describe integration of environmental sustainability goals into business operations, draw a distinction between environmental and social responsibility, and encourage the use of the term socio-environmental responsibility when both are referenced. We highlight organizational proenvironmental initiatives as the primary means to achieve environmental performance and outcomes in organizations. We then turn to the role that employees play in environmental sustainability of organizations. In this context, both green jobs and pro-environmental behaviors are covered. Differences between pro-environmental behaviors and employee green behaviors are noted. The latter are conceptualized within the broader context of employee job performance models (Viswesvaran & Ones, 2000). Drivers and correlates of individual-level pro-environmental behaviors are reviewed to provide guidance to research and practice. We conclude by discussing ways in which HR can shape environmental sustainability in organizations.

Albrecht, A.-G., Deller, J., Ones, D. S., Dilchert, S., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 303–308).
Budrich
(2018)

The iGOES project was launched to provide a rigorous evaluation of the international generalizability of factors contributing to success and failure for expatriate employees. The project was a large-scale multinational collaboration designed with four guiding principles. In this chapter, we provide an overview of the sampling methods, criterion measures, and statistical analyses used in the iGOES analyses.

Albrecht, A.-G., Dilchert, S., Ones, D. S., Deller, J., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 183–194).
Budrich
(2018)

This chapter compares the success outcomes of self-initiated and employer-initiated expatriates. Results show negligible to small differences between these groups on adjustment, job satisfaction, and job performance, though self-initiated expatriates do show somewhat better interaction adjustment. Results suggest that self-initiation is not a powerful determinant of expatriate success.

Albrecht, A.-G., Ones, D. S., Dilchert, S., Deller, J., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 71–82).
Budrich
(2018)

International assignments are strongly characterized novelty, complexity, insolubility, and unpredictability. In such environments, dispositional tolerance of (or even attraction to) ambiguity may be an important contributing factor to expatriate success. We use data from the iGOES project to examine the contributions of tolerance of ambiguity to expatriate outcomes. Results show that tolerance for ambiguity has only small positive benefits for expatriate locational and work adjustment, as well as for contextual and management/supervision performance. Tolerance of ambiguity-criterion relationships showed negligible variability across samples, suggesting that these weak relations are stable across differences in cultural distance and time on assignment. Results indicate that organizations selecting expatriates may realize better utility with constructs other than tolerance of ambiguity.

Albrecht, A.-G., Wiernik, B. M., Deller, J., Dilchert, S., Ones, D. S., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 131–148).
Budrich
(2018)

Age and international experience are widely believed to importantly impact expatriate success. These variables are believed to be proxies for variables such as job knowledge, adaptability, and trainability and have a strong influence on organizational expatriation decisions. In this chapter, we examine age and experience relations with expatriate success in the iGOES samples. We find that age and experience have weak relations with most criteria and suggest more fruitful avenues for future expatriate research and practice.

Kostal, J. W., Albrecht, A.-G., Dilchert, S., Deller, J., Ones, D. S., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 209–224).
Budrich
(2018)

Cross-cultural training (CCT) is used to provide expatriates with the knowledge, skills, and abilities necessary to function effectively in the cultural contexts of their host countries. Previous meta-analyses of the effectiveness of CCT have found that, while CCT is on average beneficial for expatriates, there is large variability in effectiveness across studies. We use data from the iGOES project to examine potential moderators of CCT’s effectiveness, including type of training, specificity of training to the host culture context, presence of a mentor in the host country, and length of training. In contrast to previous findings in this literature, we found that associations between participation in CCT and expatriate job performance, job satisfaction, and international adjustment were small, and sometimes negative.

Mercado, B. K., Albrecht, A.-G., Paulus, F. M., Dilchert, S., Ones, D. S., & Deller, J.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 255–270).
Budrich
(2018)

The role of expatriate families in the success or failure of international assignments is often overlooked. Organizations often consider employees’ family status when making expatriate selection decisions, and as expatriates prepare for their travels, they must make important decisions about whether their partners and children will accompany them. In this chapter, we examine the impact of partner and children presence on expatriate outcomes. We find that family presence is generally beneficial, but note some important contexts where family may interfere with expatriate acculturation. We highlight implications for practice and areas for future study.

Wiernik, B. M., Albrecht, A.-G., Dilchert, S., Deller, J., Ones, D. S., & Paulus, F. M.
In B. M. Wiernik, H. Rüger, & D. S. Ones (Eds.)
Managing expatriates: Success factors in private and public domains (pp. 195–208).
Budrich
(2018)

Local language proficiency is often regarded as a key enabling factor for expatriate success. In this study, we use data from the iGOES project to examine how language proficiency contributes to expatriate outcomes. Language proficiency is negligibly to weakly related to most outcomes, but does show positive relations with interaction adjustment. Moderator analyses support the interpretation of this relation as reflecting increased comfort from being able to communicate effectively, rather than reflecting cultural engagement or social inclusion effects. Overall, results indicate that local language proficiency can contribute to expatriate comfort, but is not absolutely necessary for expatriate success.

Ones, D. S., Wiernik, B. M., Dilchert, S., & Klein, R. M.
In V. K. Wells, D. Gregory-Smith, & D. Manika (Eds.)
Research handbook on employee pro-environmental behaviour (pp. 13–38).
Edward Elgar.
(2018)

To effectively promote employee pro-environmental behaviour and appropriately research the antecedents and consequences of different types of green behaviours, there is a need for clear conceptual definitions of employee green behaviours and an organising taxonomy of the diverse array of behaviours that can be performed. This is the aim of this chapter. We define employee green behaviours and describe how they fit into general models of job performance. Then, we describe a comprehensive taxonomy of employee green behaviours. Next, we discuss the features of available measures of employee green behaviours. Finally, we discuss how considering the full array of employee green behaviours can enhance organisational human resource management (HRM) practices that promote environmental sustainability.

Wiernik, B. M., Ones, D. S., Dilchert, S., & Klein, R. M.
In V. K. Wells, D. Gregory-Smith, & D. Manika (Eds.),
Research handbook on employee pro-environmental behaviour (pp. 63–82).
Edward Elgar.
(2018).

Environmental degradation is ultimately driven by harmful actions performed by individuals (Stern 2000). Achieving environmental sustainability thus requires changing individuals’ behaviour to be more environmentally responsible (Maloney and Ward 1973). As organisations aim to improve their institutional environmental performance, they must improve the individual environmental performance of each of their employees. Effective management of employee environmental performance, however, requires understanding why employees perform positive and negative green behaviours and how these drivers can be leveraged most effectively using human resource management (HRM) tools. In this chapter, we review research on the individual-level factors that promote and inhibit environmentally relevant employee behaviours. We examine research on knowledge-based and attitudinal drivers of pro-environmental behaviours, as well as the influence of demographic characteristics and stable psychological individual differences. Finally, w discuss research on the effectiveness of alternative types of behavioural interventions aimed at improving individuals’ contributions to environmental sustainability and how organisations can leverage individual antecedents to enhance employee green performance.

Mercado, B. K., & Dilchert, S.
International Journal of Selection and Assessment, 25(4), 406-415.
(2017)

Most employed adults must manage both work and family responsibilities. Consequently, many employees also experience conflict between their roles, which often leads to compromised performance in one or both domains. We examined family interference with work (FIW) as a potential drain on resources leading to increased counterproductive work behaviors (CWB) and decreased organizational citizenship behaviors (OCB) in three samples with a multi-measure, timelagged design. Results demonstrated that employees who experience FIW display higher levels of CWB and lower levels of OCB, especially for organizationally targeted behaviors.

Mercado, B.K., Giordano, C., & Dilchert, S.
Career Development International, 22(5), 546-564.
(2017)

Cyberloafing, using technology to idle instead of work, is a particularly concerning issue for many organizations due to its perceived widespread impact on productivity. The purpose of this paper is to meta-analytically examine the growing literature on this construct in order to gain insights into its nomological network and guide future research. After a systematic literature search, the authors conducted psychometric meta-analyses to estimate the relationships of 39 different correlates with cyberloafing. Results indicate that boredom, engagement, and self-control exhibit strong relationships with cyberloafing, but employees’ attitudes surrounding and opportunities to engage in cyberloafing also proved powerful predictors. Contrary to common stereotypes, age and other demographic variables exhibited negligible effects. Employment variables (e.g. tenure, organization level, and income) were also negligibly related to cyberloafing. Emotional stability, conscientiousness, and agreeableness exhibited modest negative relationships with cyberloafing, whereas self-control demonstrated a strong negative relationship. Although cyberloafing strongly correlated with overall counterproductive work behaviors, the findings suggest it is unrelated to other components of job performance. As the first quantitative review of the emerging cyberloafing literature, this study synthesizes related studies from disparate disciplines, examines the nomological network of cyberloafing, and highlights future directions for research into this phenomenon.

Wiernik, B. M., Kostal, J. W., Wilmot, M. P., Dilchert, S., & Ones, D. S.
Industrial and Organizational Psychology, 10(3), 472–479
(2017)

Generalization in meta-analyses is not a dichotomous decision (typically encountered in papers using the Q test for homogeneity, the 75% rule, or null hypothesis tests). Inattention to effect size variability in meta-analyses may stem from a lack of guidelines for interpreting credibility intervals. In this commentary, we describe two methods for making practical interpretations and determining whether a particular SDρ represents a meaningful level of variability.

Hough, L. M., & Dilchert, S.
In J. L. Farr & N. T. Tippins (Eds.),
Handbook of employee selection (2nd ed., pp. 298-325).
Routledge
(2017)

In this chapter, we update the issues and evidence, and describe the emerging consensus about the usefulness of personality variables in employee selection. We describe the mega-trends that have influenced the personality variables that are selected for inclusion in selection systems, how they are measured, and the outcomes they are expected to predict. We describe factors that hinder our understanding and those that help increase our knowledge of personality variables and their role in more accurately predicting work-related criteria. We address issues related to taxonomic structure, measurement methods, level of measurement, validity, and factors that threaten and enhance the validity of personality measures.

Ones, D. S., Dilchert, S., Viswesvaran, C., & Salgado, J. F.
In J. L. Farr & N. T. Tippins (Eds.),
Handbook of employee selection (2nd ed., pp. 251-276).
Routledge
(2017)

In this chapter, we provide an overview of cognitive ability’s key role in staffing organizations and provide evidence-based practice recommendations. We first present a brief synopsis of the history, current usage, and acceptance of cognitive ability tests in employee selection. Second, we highlight the theoretical underpinnings and structure of cognitive ability as a construct. Third, we discuss developments in its measurement. Fourth, we present an overview of the criterion-related validity of cognitive ability tests in predicting valued work behaviors and outcomes, including non-task-performance criteria that have been increasingly investigated in recent years. Fifth, we discuss the issue of group differences in cognitive ability test scores both within the United States and internationally. We conclude by discussing future research and challenges facing organizations that intend to use cognitive ability tests in making employee selection decisions.

Dilchert, S., Wiernik, B. M., & Ones, D. S.
In S. G. Rogelberg (Ed.),
The SAGE Encyclopedia of Industrial and Organizational Psychology (2nd ed.).
Thousand Oaks, CA: Sage.
(2016, October)

Sustainability refers to an organization’s ability to deliver enduring performance and thus continue to exist over time. In this regard, performance refers not only to a company’s financial results. Sustainability applies to a wide range of organizations (e.g., businesses, not-for-profit, non-governmental organizations) and encompasses performance in the economic/financial, social, and environmental domains. This conceptualization of sustainability—which includes the notion that the three different aspects of organizational performance are interconnected and equally important for long-term survival of an organization—has been described as the “triple bottom line.” Over the last three decades, research in the organizational sciences as well as applied practice has focused on the social aspect of organizational performance, such as employee welfare, community outreach, and charitable involvement. Most recently, climate change and ensuing societal awareness have triggered increasing attention on the environmental dimension of organizational performance and have resulted in a growing movement focused on environmental sustainability within industrial-organizational psychology.

Wiernik, B. M., Dilchert, S., & Ones, D. S.
Frontiers in Psychology, 7, 1-15.
(2016)

Recent economic and societal developments have led to an increasing emphasis on organizational environmental performance. At the same time, demographic trends are resulting in increasingly aging labor forces in many industrialized nations. Commonly held stereotypes suggest that older workers are less likely to be environmentally responsible than younger workers. To evaluate the degree to which such age differences are present, we meta-analyzed 132 independent correlations and 336 d-values based on 4676 professional workers from 22 samples in 11 countries. Contrary to popular stereotypes, age showed small positive relationships with pro-environmental behaviors, suggesting that older adults engaged in these workplace behaviors slightly more frequently. Relationships with age appeared to be linear for overall, Conserving, Avoiding Harm, and Taking Initiative pro-environmental behaviors, but non-linear trends were observed for Transforming and Influencing Others behaviors.

Jackson, S. E., Ones, D. S., & Dilchert, S. (Eds.); شهرین ستوده (Translator)
مدیریت منابع انسانی برای توسعه پایدار [Managing human resources for environmental sustainability].
Teheran, Iran: اسمان نگار.
(1393)

در جهان امروز، هر گونه کسب و کاری مستلزم توسعه فرهنگ مسئولیت پذیری اجتماعی و پاسخگویی به جامعه با رویکرد چگونگی جهت گیری فعالیتهای مسئولانه  به همراه تولید ثروت است. در واقع این موضوع به معنای رفتارهای تجاری همه ذینفعان اعم از سهامداران، مشتریان و کارکنان که در شخصیت منابع انسانی در سازمانها و بنگاههای تولیدی و خدماتی ظاهر می­شوند، ناشی می­شود که به این سئوال یکایک آحاد جامعه پاسخ می­دهند که: آیا کسب و کار شما در خدمت رفع چالشهای اجتماعی قراردارد؟!

Wiernik, B. M., Dilchert, S., & Ones, D. S.
Zeitschrift für Arbeits- und Organisationspsychologie.
(in press)

The present study used intraindividual criterion profile analysis to investigate the relationship between creative artistic and investigative interests and the Big Five personality traits. In 19 samples, we found that artistic and investigative interests showed distinct intraindividual personality profile patterns. Investigative interests were associated with elevated openness to intellect, conscientiousness, and emotional stability and low extraversion and agreeableness, relative to individuals’ other traits. Artistic interests were associated with personal strengths for openness to experiences and personal weaknesses for conscientiousness, assertiveness, and emotional stability. Across creative interests, profile pattern, not absolute trait level, drove the relationship between personality traits and interests. These findings replicated across numerous personality inventories and levels of interest specificity (RIASEC, basic interests, occupation-specific interests). We discuss the implications of these results for the complementary use of personality and interest scales in vocational counseling and personnel selection.

Ones, D. S., Wiernik, B. M., Dilchert, S., & Klein, R. M.
In J. D. Wright (Ed.),
International encyclopedia of the social and behavioral sciences (pp. 82-88).
Oxford, UK: Elsevier.
(2015)

Environmental sustainability is one of the most pressing issues facing societies today. Employees play a key role in contributing to organizational environmental performance. This article describes the domain of employee green behaviors (pro-environmental behaviors at work), distinguishes them from related constructs, provides an overview of determinants, and reviews interventions designed to support them.

Klein, R. M., Dilchert, S. Ones, D. S., & Dages, K. D.
Journal of Applied Psychology, 100, 1497-1510.
(2015)

Age differences on measures of general mental ability and specific cognitive abilities were examined in 2 samples of job applicants to executive positions as well as a mix of executive/nonexecutive positions to determine which predictors might lead to age-based adverse impact in making selection and advancement decisions. Generalizability of the pattern of findings was also investigated in 2 samples from the general adult population. Age was negatively related to general mental ability, with older executives scoring lower than younger executives. For specific ability components, the direction and magnitude of age differences depended on the specific ability in question. Older executives scored higher on verbal ability, a measure most often associated with crystallized intelligence. This finding generalized across samples examined in this study. Also, consistent with findings that fluid abilities decline with age, older executives scored somewhat lower on figural reasoning than younger executives, and much lower on a letter series test of inductive reasoning. Other measures of inductive reasoning, such as Raven’s Advanced Progressive Matrices, also showed similar age group mean differences across settings. Implications for employee selection and adverse impact on older job candidates are discussed.

Deller, J., Dilchert, S., Ones, D. S., Albrecht, A.-G., & Paulus, F. M.
In X. Dai & G.-M. Chen (eds.),
Intercultural communication competence (pp. 356-365).
Newcastle upon Tyne, UK: Cambridge Scholars Publishing.
(2014)

Organizations that conduct business globally feel an increasing need to send employees on international assignments. Such international assignments are a challenge both for the organization and its employees. Reports from the applied and also the scholarly community reveal that reliable, valid, and easily applicable methods for selecting, preparing, and developing expatriate workers are crucial to the success of international assignments in general. This chapter provides an overview of project iGOES (international Generalizability of Expatriate Success Factors), which investigates the relevance of demographic variables, background characteristics, and individual differences traits in predicting expatriate adjustment and success. The most comprehensive project of its kind, iGOES systematically investigated whether relevant success factors differ across world regions expatriates are active in. The chapter illustrates the usefulness of the approach by focusing on and summarizing results for the personality trait of openness.

Dilchert, S., Ones, D. S., & Krueger, R. F.
Industrial and Organizational Psychology, 7, 98-110.
(2014)

Important changes have been occurring in the clinical psychology literature that are relevant to how maladaptive personality characteristics are conceptualized, measured, and used in workplace applications. We aim to clarify distinctions among maladaptive personality traits, measures of maladaptive personality constructs, and their behavioral consequences at work. In pursuing a connection between the industrial–organizational (I–O) and clinical psychology literatures on maladaptive personality, we distinguish maladaptive constructs, maladaptive measures, and maladaptive work behaviors. Conceptual clarification and linguistic precision are essential, as their distinctions are not merely academic but have important consequences for workplace research and practice.

Dilchert, S.
In J. F. Carlson, K. F. Geisinger, & J. L. Johnson (Eds.),
Mental measurements yearbook (19th ed., pp. 491-494). Lincoln, NE: University of Nebraska Press.
(2014)

This review provides information about the development, reliability, and validity of the Non-Verbal IQ Test (NVIQT). The NVIQT is a nonverbal measure of cognitive ability, developed to assess spatial ability and pattern recognition. The stated purpose of the test is to serve as a measure of intelligence that minimizes irrelevant cultural or educational influences on test scores. The technical manual accompanying the test does not further delineate the nature of the construct that the test is intended to assess. Limited information is provided on the intended target population or intended uses of the test…

Albrecht, A.-G., Dilchert, S., Deller, J., & Paulus, F. M.
Journal of Personality Assessment, 96, 64-75.
(2014)

Openness plays an important role in determining what kind of experiences individuals seek out not only in their personal lives, but also in work environments. The objectives of this study were (a) to examine the influence of openness and its facets on the decision to work abroad and (b) to study whether employees’ openness relates to cross-cultural adjustment as well as job and life satisfaction. We investigated these questions among a sample of 2,096 expatriates. In addition to self-reports of openness and cross-cultural adjustment, ratings of subjects’ adjustment were also obtained from 928 knowledgeable others. The openness facets of actions, ideas, and values appear to be good predictors of acceptance of international assignments. In addition, global Openness and its facets Openness to actions and feelings relate to self- and other ratings of cross-cultural adjustment.

Dilchert, S.
The MBA Series – Guest Articles by Leaders in Business Education. http://www.triplepundit.com/2013/10/rounded-green-mba/.
(2013)

The MBA Series – Guest Articles by Leaders in Business Education.
What are the lessons we want our future leaders to experience before they take the helm of some of the world’s most impactful organizations?

Albrecht, A.-G., Paulus, F. M., Dilchert, S., Deller, J., & Ones, D. S.
Journal of Personnel Psychology, 12, 85-91.
(2013)

This research presents an in-depth investigation of the core self-evaluations (CSE) construct in several German samples. The English language (U.S.-American) version of the Core Self-Evaluations Scale (CSES; see Judge, Erez, Bono, & Thoresen, 2003) was adapted and translated into German. The study expands knowledge of CSE relationships with work-relevant experience constructs by providing the first reports of relationships with professional experience and job tenure. Criterion-related validities were examined for grade point average, organizational citizenship behaviors, and turnover intentions, extending English language based findings to a new language and cultural context (German) for the first time. The explicit examinations of the German CSES and other demographic (age, gender) and experience variables (organizational tenure) also provide the first investigations of these relationships, advancing the knowledge about the nomological network of the CSE construct. A constructive discussion of CSE measurement issues (frame of reference and item-specific response styles) is provided in order to improve future CSE measurement.

Wiernik, B. M., Ones, D. S., & Dilchert, S.
Journal of Managerial Psychology, 28, 826-856.
(2013)

Research has shown that individuals of different ages hold different environmental attitudes and perform environmental behaviors of different kinds and to varying degrees. The strength and direction of age-effects observed across studies has been inconsistent, however. This study examined the relationship between age and a variety of environmental sustainability-related psychological variables using meta-analytic techniques.
Methodology: Relationships between age and environmental concern, environmental values, attitudes toward environmental behaviors, environmental awareness, environmental knowledge, environmental motives, environmental intentions, and pro-environmental behaviors were examined. Data from relevant studies between 1970 and 2010 were meta-analyzed to determine the magnitudes of relationships between age and environmental variables, and to investigate whether effects generalize across studies.
Findings: Most relationships were negligibly small. Small but generalizable relationships indicated that older individuals appear to be more likely to engage with nature, avoid environmental harm, and conserve raw materials and natural resources.
Value: Stereotypes about age-differences in environmental sustainability are commonly held in organizations. If work and organizational psychologists are to encourage and help individuals to be more environmentally responsible at work, understanding how age affects these efforts is imperative. By meta-analytically estimating age-differences in environmental sustainability variables, the present study helps to dispel erroneous stereotypes and guide organizations to implement effective environmental interventions.

[Conscientiousness]
Dilchert, S., & Ones, D. S.
In W. Sarges (Ed.),
Management-Diagnostik (4th ed., pp. 323-332).
Göttingen, Germany: Hogrefe.
(2013)

Gewissenhaftigkeit umfasst – wie die meisten Konstrukte höherer Ordnung – eine Vielzahl zusammenhängender, aber dennoch konzeptionell unterschiedlicher Facetten. Ziel dieses Kapitels ist es, die Bedeutung des psychologischen Konstrukts, einschließlich seiner wichtigsten Facetten, zu skizzieren und eine Übersicht darüber zu geben, wie es mit dem Arbeitsleben von Managern zusammenhängt.

Ones, D. S., & Dilchert, S.
In K. F. Geisinger, B. A. Bracken, J. F. Carlson, J.-I. C. Hansen, N. R. Kuncel, S. P. Reise, & M. C. Rodriguez (Eds.),
APA handbook of testing and assessment in psychology (pp. 643-659).
Washington, DC: American Psychological Association.
(2013)

The work psychology literature has collectively referred to undesirable employee behaviors as counterproductive work behavior (CWB). In the quest to better understand this construct, this chapter offers a measurement-based, quantitative, psychological perspective. The purpose is to provide an overview of CWB and its measurement in work psychology. To this end, first the construct space for CWB is defined, locating it in models of job performance. Second, competing definitions from the literature and the strengths and weaknesses of each are summarized. Third, both broad measures and specific indicators of the construct and its lower order factor structure are described. Fourth, the reliability of scale scores in this domain is reviewed. Fifth, the measurement of CWB using observer reports is discussed. Sixth, findings on individual-differences correlates of CWB measures from the meta-analytic literature are summarized. The authors also offer some recommendations for better conceptualization and measurement of the CWB construct domain.

Ones, D. S., & Dilchert, S.
In A. H. Huffman & S. R. Klein,
Green organizations: Driving change with I-O Psychology (pp. 115-148).
New York: Routledge.
(2013)

In this chapter, we first highlight evidence that environmental sustainability and responsibility are increasingly valued by many corporations. Second, we delineate environmental sustainability constructs at both the organizational and individual levels of analysis. At the organizational level, we distinguish environmental performance from social responsibility, and highlight how each is related to organizational financial performance. At the individual level, we distinguish between general pro-environmental behaviors and employee green behaviors. We also discuss how employee green behaviors relate to constructs such as employee engagement, task performance, organizational citizenship behaviors, counterproductive work behaviors, and organizational tenure. Third, we describe a taxonomy of employee green behaviors, noting functional and motivational differences among categories. Fourth, we review person-based approaches (recruiting, staffing) and intervention-based approaches (training, motivational interventions) that can be used to influence employee green behaviors in organizations. We conclude by highlighting streams of employee-focused research that will contribute to improving environmental sustainability of organizations.

Ones, D. S., & Dilchert, S.
Industrial and Organizational Psychology, 5, 444-466.
(2012)

As world economies and organizations transform to minimize, mitigate, and neutralize their environmental impact and adapt for environmental sustainability, industrial and organizational psychologists are uniquely positioned to aid in these efforts. Industrial and organizational (I–O) psychology has a central role to play and a duty to contribute to organizational greening initiatives. In making our case, we first describe how economic activities, organizations, and workplaces of today are in the midst of unprecedented change in terms of their impacts on and relations with the natural environment. To ensure conceptual clarity, we then delineate environmental sustainability constructs that are relevant in work settings and distinguish them from related concepts (e.g., social responsibility). We also provide an overview of psychological contributions to environmental sustainability and note that so far there is limited I–O psychological research and application. We conclude by describing ways in which I–O psychologists can contribute.

Dilchert, S., & Ones, D. S.
Industrial and Organizational Psychology, 5, 509-517.
(2012)

We note that the current intellectual, social, and economic milieu has led to general acceptance of environmental sustainability as one of the most important issues of our time. Environmental sustainability is a big idea, and it is in the air (Gladwell, 2008). Few industrialorganizational (IO) psychologists disagree. However, there are many different ideas on the what, where, and how our field can contribute. We review facilitators, drivers, and barriers to environmental sustainability of organizations. We also discuss the ways in which cultural and international research can strengthen sustainability research and practice. In order to make a meaningful difference and positive environmental impact, IO psychologists and HR practitioners need to focus on their unique skills and influence organizational environmental sustainability by designing and shaping work, workplaces, and workforces.

Dilchert, S., & Ones, D. S.
In S. E. Jackson, D. S. Ones, & S. Dilchert (Eds.),
Managing human resources for environmental sustainability (pp. 187-221).
San Francisco: Jossey-Bass/Wiley.
(2012)

A thorough understanding of how organizational activities can be managed in environmentally sustainable ways requires input from organizational and behavioral scholars and practitioners and needs to be based on individual and organizational level measurement. At the individual level, the degree to which employees contribute to or detract from environmental sustainability can be observed, measured, and influenced. At the organizational level, corporate environmental performance can be conceptualized and measured to help manage the triple bottom-line (Elkington, 1998, Savitz & Weber, 2006). The goal of this chapter is to highlight some of the ways that environmental sustainability has been conceptualized and measured at both levels, review approaches to positively impact environmental sustainability at the individual level, and summarize important variables that relate to it at the organizational level. It is hoped that this review will increase the knowledge base on and understanding of those issues, and that it will aid industrial and organizational psychologists in their efforts to improve environmental sustainability in organizations and their workforces.

Ones, D. S., & Dilchert, S. (2012).  
In S. E. Jackson, D. S. Ones, & S. Dilchert (Eds.),
Managing human resources for environmental sustainability (pp. 85-116).
San Francisco: Jossey-Bass/Wiley.
(2012)

The overall objective of this chapter is to describe individual variability in employee behaviors that relate to environmental sustainability work settings. To achieve this goal, we first define a broad category of behavior that we have come to refer to as employee green behavior. Second, we then detail a taxonomy of employee green behaviors that is intended to describe the content of employee green behavior categories and define a construct of individual level environmental sustainability in work settings. Third, ‘we address the connections between employee green behaviors and model of individual level performance. Fourth, we offer guidance on how the framework presented in this chapter can be used in human resources management practice and research applications. We conclude by addressing construct validity questions about the model of employee green behaviors.

Biga, A., Dilchert, S., McCance, A. S., Gibby, R. E., Oudersluys, A. D.
In S. E. Jackson, D. S. Ones, & S. Dilchert (Eds.),
Managing human resources for environmental sustainability (pp. 362-374).
San Francisco: Jossey-Bass/Wiley.
(2012)

This case study provides a brief overview of P&G’s sustainability efforts in general and illustrates how the company uses organizational surveys as a pulse check on employee engagement and its link to environmental sustainability behaviors in the workplace.

Hoffman, B. J., & Dilchert, S.
In N. Schmitt (Ed.),
Oxford handbook of personnel assessment and selection (pp. 543–569).
New York: Oxford University Press.
(2012)

This chapter provides an analysis of historical trends underlying the measurement of two alternative work criterion variables: organizational citizenship and counterproductive work behaviors. Conceptual frameworks and taxonomic models are reviewed, and measurement of the two constructs in research and applied settings is discussed. The empirical evidence that links individual differences predictors and assessment tools to citizenship and counterproductivity is discussed with a focus on employee selection.

Ones, D. S., Dilchert, S., & Viswesvaran, C.
In N. Schmitt (Ed.),
Oxford handbook of personnel assessment and selection (pp. 179-224). New York: Oxford University Press.
(2012)

This chapter describes measures of cognitive ability (general mental ability and specific abilities) and examines their usefulness for personnel selection. An overview of definitional and theoretical issues as they apply to use of such measures in personnel decision making is provided first. Then, issues of reliability of measures are discussed, again with particular emphasis on implications for personnel selection (e.g., impact on rank order of candidates when using different measures). Next, validities of cognitive ability tests are summarized for the following criteria: overall job performance, task performance, contextual performance, counterproductive work behaviors, leadership, creativity and innovation, voluntary turnover, job satisfaction, and career success. The authors address the nature of predictor-criterion relationships (e.g., usefulness of general versus specific abilities, criterion dynamicity, assumption of linearity) by discussing both recent large-scale evidence in normal samples and among the highly gifted. Finally, the extent to which cognitive ability is captured in tools other than standardized tests is summarized, enabling an evaluation of other selection assessments as substitutes and/or supplements to standardized cognitive ability tests.

Ones, D. S., Dilchert, S., Deller, J., Albrecht, A.-G., Duehr, E. E., & Paulus, F. M.
In A. M. Ryan, F. T. L. Leong, & F. L. Oswald (Eds.),
Conducting multinational research projects in organizational psychology: Challenges and opportunities (pp. 91-122).
Washington, DC: American Psychological Association.
(2012)

When differences are observed across samples in cross-cultural research, true cultural differences (and sample representativeness) are not the only explanations that ought to be considered. A main thesis of this chapter is that when differences are observed, findings can be due to chance (sampling error) as well as other statistical artifacts (see Hunter & Schmidt, 2004). Testing whether cross-cultural variability in findings is due to real effects of culture or such statistical artifacts is an important step that is essential in cross-cultural research. Addressing the biasing influences of statistical artifacts may help reveal cross-cultural universals. The magnitude of cultural variation in results can be empirically examined using approaches of psychometric meta-analysis. A major contribution that meta-analytic techniques can make to cross-cultural research is to enable researchers to test the cross-cultural generalizability of relationships. In the remainder of this chapter, we review, illustrate, and discuss three unique applications of meta-analysis to examine cross-cultural effects. First, we review and discuss pooling findings across intracultural studies to examine questions of cross-cultural generalizability. Second, we illustrate the value of applying meta-analysis to carefully conducted intercultural studies to examine the same question. Third, we demonstrate the use of meta-analysis to examine transcultural variability using primary data collected from different cultural settings. For each type of application, we offer a brief background, review and present illustrative findings, and discuss contributions and potential limitations.

[Living and working abroad – psychological factors and success in international occupational decisions]
Deller, J., Albrecht, A-G., Ones, D. S., Dilchert, S., & Paulus, F. M.
Berlin Medical, 10, 5-7.
(2012)

In den vergangenen Jahren haben wir Projekt iGOES (international Generalizability of Expatriate Success Factors) das mit bislang über 2.300 persönlich interviewten Auslandsmitarbeitern weltweit größte interkulturelle wirtschaftspsychologisch diagnostische Forschungsprojekt durchgeführt. Dieser Beitrag schildert in Anlehnung an Deller und Albrecht [l] das Projekt in seinen Grundzügen und berichtet zusätzlich ausgewählte Ergebnisse zur Bedeutung der Persönlichkeitsdimension „Offenheit” für Anpassung als eine Perspektive des Erfolges von Auslandseinsätzen.

Dilchert, S., & Ones, D. S.
In M. Ziegler, C. MacCann, & R. D. Roberts, (Eds.)
New perspectives on faking in personality assessments (pp. 177-200).
New York: Oxford University Press.
(2011)

This chapter addresses issues surrounding strategies to identify and reduce socially desirable responding, impression management, and faking in applied assessment settings. Strategies are discussed in terms of a framework with four categories based on purpose (identification or prevention) and level (scale/test or person). Three major questions are considered: Which forms do the strategies take (what are recommendations for use in applied assessment practice)? To what degree do test users rely on such strategies in identifying or preventing response distortion (what are the prevalence rates)? What is the effectiveness of each strategy in applied settings (does it lead to the successful identification or prevention of faking under realistic assessment conditions)? The chapter concludes that even those strategies that have received the most research attention so far do not present effective solutions in applied assessment settings.

Barish, R. J., & Dilchert, S.
Employee Responsibilities and Rights Journal, 22, 361-369.
(2010)

At the high altitudes that are the domain of commercial airliners, passengers are exposed to cosmic radiation at an intensity that is hundreds of times greater than at ground level. Such radiation exposure represents a risk for individuals who fly frequently as part of their job. Business travelers who fly at least 85,000 miles (137,000 km) per year are likely to receive radiation exposures that exceed the regulatory limit established for members of the general public exposed by proximity to medical or industrial radiation facilities. Their exposures will not, however, exceed the higher level allowed for radiation workers. Human resource managers need to identify those employees who fly frequently on company business or due to a company-initiated relocation (e.g., expatriate assignment), classify them as radiation workers, and ensure compliance with the regulatory requirements for providing risk education and exposure assessment for such workers. Failure to do so may incur potential liability for radiation-related health problems, particularly in the case of pregnant employees where the embryo or fetus is also at risk.

Ones, D. S., & Dilchert, S.
In R. A. Spies, J. F. Carlson, & K. F. Geisinger (Eds.),
Mental measurements yearbook (18th ed., pp. 1-4). Lincoln, NE: University of Nebraska Press.
(2010)

This review provides information about the development, reliability, and validity of the A-4 Police Officer Video Test. The A-4 Police Officer Video Test is a 90-item multiple-choice test designed to assess both cognitive and noncognitive competencies relevant for success in police office jobs. The test is administered using a video tape, which contains narrated instructions. Administration of the test takes a total time of 155 minutes…

Ones, D. S., & Dilchert, S.
In R. A. Spies, J. F. Carlson, & K. F. Geisinger (Eds.),
Mental measurements yearbook (18th ed., pp. 387-390). Lincoln, NE: University of Nebraska Press.
(2010)

This review provides information about the development, reliability, and validity of the P-1SV and P-2SV Police Officer Tests. The P-lSV and P-2SV Police Officer Tests are intended to assess some characteristics required to perform entry level police officer jobs successfully. Each test form contains 100 multiple-choice questions, which are dichotomously scored (correct/incorrect), and each test yields a single overall score. The knowledge, skills, abilities, and personal characteristics (KSAPs) that the tests assess are specified in the technical manual as: (a) Reasoning Ability, (b) Observation/Perceptiveness, (c) Ability to Learn Proper Police Procedures, (d) Speaking Ability, (e) Ability to Learn Laws to be Enforced, (f) Writing Ability, (g) Problem Solving, (h) Memory, (i) Learning, G) Reading, and (k) Planning/Organizing….

Hough, L. M., & Dilchert, S.
In J. L. Farr & N. T. Tippins (Eds.),
Handbook of employee selection (pp. 299-319).
New York: Routledge.
(2010)

One of the most important advances in our field can be attributed to the recognition of the importance of personality variables in determining and explaining performance. With the addition of personality variables to our models of job performance, we are now able to explain significantly more variation in behavior and performance than ever before. In this chapter, we review the issues, document the evidence, and describe the consensus emerging about the usefulness of personality variables in employee selection. We describe factors that hinder our understanding and those that help increase our knowledge of personality variables and their role in more accurately predicting work-related criteria. We address issues related to taxonomic structure, measurement methods, level of measurement, validity, and factors that threaten and enhance the validity of personality measures.

Ones, D. S., Dilchert, S., Viswesvaran, C. & Salgado, J. F.
In J. L. Farr & N. T. Tippins (Eds.),
Handbook of employee selection (pp. 255-275).
New York: Routledge.
(2010)

Intelligence affects individuals’ lives in countless ways. As such, it is an exceedingly precious trait to include in employee selection systems. In this chapter, we provide an overview of cognitive ability’s key role in staffing organizations and provide evidence-based practice recommendations. We first present a brief synopsis of the history, current usage, and acceptance of cognitive ability tests in employee selection. Second, we highlight the theoretical underpinnings of cognitive ability as a construct. Third, we discuss developments in its measurement. Fourth, we present an overview of the criterion-related validity of cognitive ability tests in predicting valued work behaviors and outcomes. Fifth, we discuss the issue of group differences in cognitive ability test scores both within the United States and internationally. We conclude by discussing future research and practice challenges.

Ones, D. S. & Dilchert, S.
InTheBlack, 54-55.
(2009)

We make judgments and evaluations about others’ personalities every day – when we meet new acquaintances, when we catch up with old friends, and even when we interact with our spouses or partners. Personality is important – it describes the general tendencies of individuals to feel, think, act, and react in a variety of life situations. And our work lives, of course, are one of those domains where personality plays a primary role. Organisations have long tried to glean information on individuals’ personalities for a variety of purposes, including career counselling, employee development and coaching, or candidate selection. The method most commonly used to try to learn more about someone’s “character” is the employment interview, and such interviews can be useful when properly designed and applied (especially when they are standardised to minimise the influence of human error and bias).

Dilchert, S., & Ones, D. S.
International Journal of Selection and Assessment, 17, 254-270.
(2009)

This study provides an investigation of the nomological net for the seven primary assessment center (AC) dimensions identified by Arthur, Day, McNelly, and Eden (Personnel Psychology, 56, 125–154, 2003). In doing so, the authors provide the first robust estimates of the relationships between all primary AC dimensions with cognitive ability and the Big 5 factors of personality. Additionally, intercorrelations between AC dimensions based on sample sizes much larger than those previously available in the meta-analytic literature are presented. Data were obtained from two large managerial samples (total N = 4985). Primary data on AC dimensions, personality, and cognitive ability interrelationships were subsequently integrated with meta-analytic data to estimate incremental validity for optimally and unit-weighted AC dimension composites as well as overall AC ratings over psychometric tests of personality and cognitive ability. Results show that unit- and optimally weighted composites of construct-based AC dimensions add incremental validity over tests of personality and cognitive ability, while overall AC ratings (including those obtained using subjective methods of data combination) do not.

Lievens, F., Ones, D. S., & Dilchert, S.
Journal of Applied Psychology, 94, 1514-1535.
(2009)

Admissions and personnel decisions rely on stable predictor–criterion relationships. The authors studied the validity of Big Five personality factors and their facets for predicting academic performance in medical school across multiple years, investigating whether criterion-related validities change over time. In this longitudinal investigation, an entire European country’s 1997 cohort of medical students was studied throughout their medical school career (Year 1, N = 627; Year 7, N = 306). Over time, extraversion, openness, and conscientiousness factor and facet scale scores showed increases in operational validity for predicting grade point averages. Although there may not be any advantages to being open and extraverted for early academic performance, these traits gain importance for later academic performance when applied practice increasingly plays a part in the curriculum. Conscientiousness, perhaps more than any other personality trait, appears to be an increasing asset for medical students: Operational validities of conscientiousness increased from .18 to .45. In assessing the utility of personality measures, relying on early criteria might underestimate the predictive value of personality variables. Implications for personality measures to predict work performance are discussed.

Lievens, F., Dilchert, S., & Ones, D. S.
Human Performance, 22, 375-390.
(2009)

This study presents a simultaneous examination of multiple evidential bases of the validity of assessment center (AC) ratings. In particular, we combine both construct-related and criterion-related validation strategies in the same sample to determine the relative importance of exercises and dimensions. We examine the underlying structure of ACs in terms of exercise and dimension factors while directly linking these factors to a work-related criterion (salary). Results from an AC (N = 753) showed that exercise factors not only explained more variance in AC ratings than dimension factors but also were more important in predicting salary. Dimension factors explained a smaller albeit significant portion of the variance in AC ratings and had lower validity for predicting salary. The implications of these findings for AC theory, practice, and research are discussed.

Ones, D. S., & Dilchert, S.
Industrial and Organizational Psychology, 2, 163-170.
(2009)

Hollenbeck (2009) suggests that executive selection decisions are often wrong and believes that selection of executives should be differentiated from selection at lower levels. In addition, he asserts that by focusing on competencies, rather than characteristics, ‘‘we are doing it backwards.’’ We agree with Hollenbeck that sound personnel selection should start with and be based on personal characteristics rather than amorphous, often ill-defined competencies. Yet, this principle applies to all selection not just executive selection. In order to determine whether executive selection should truly be a special process, two key questions must be asked and answered.

Dilchert, S., & Ones, D. S.
Zeitschrift für Personalpsychologie, 7, 1-23.
(2008)

The relationship between personality and salary was investigated among 4,150 managers. Individuals at five different managerial levels completed a measure of the Big Five personality dimensions as part of a work-related psychological assessment. The validity of personality for predicting salary was examined separately by managerial level, sex, as well as by purpose of assessment (selection versus development). Results indicated that personality predicts managerial salaries with useful levels of validity and thus is valuable for predicting extrinsic career success. While there was no evidence for differential validity by sex or purpose of assessment, results differed across managerial levels, with stronger relationships among the lowest and highest managerial groups (i.e., supervisors and top executives) largely due to increased predictor and criterion score variability.

Dilchert, S.
International Journal of Selection and Assessment, 15, 317-334.
(2007)

This study investigates the relationship between personality and leadership and managerial interests at different levels of the vocational interest taxonomy. Personality scale scores from four different inventories were used to predict vocational interests of 574 adults. Influencing/enterprising interests, leadership and supervisory interests, and job-specific managerial interests (e.g., CEO, Media Executive, Human Resources Director) served as criterion measures. A multiple regression-based pattern recognition procedure recently devised by Davison and Davenport was applied to identify configurations of personality scores relating to these interest criteria. The personality profile pattern predictive of influencing and leadership interests was stable across different managerial domains. Results indicate that personality profile patterns drive the predictive power of personality scores, and that they explain a larger proportion of the variance in influencing and leadership interests compared with individuals’ absolute trait levels.

Dilchert, S., Ones, D. S., Davis, R. D., & Rostow, C. D.
Journal of Applied Psychology, 92, 616-627.
(2007)

Over the past 2 decades, increasing attention has been directed at the relationship between individual differences and counterproductive work behaviors (CWB). However, most of this research has focused on personality variables as potential predictors of CWB; surprisingly little research has investigated the link between counterproductivity and cognitive ability. This study presents the first focal investigation of the cognitive ability-CWB relationship. The authors measured organizational and interpersonal CWB using organizational records of formally recorded incidents (e.g., destruction of property, physical violence). In a predictive study, for a large sample of law enforcement job applicants, a standardized psychometric test of cognitive ability predicted CWB, whereas educational attainment did not.

Ones, D. S., & Dilchert, S., Viswesvaran, C., & Judge, T. A.
Personnel Psychology, 60, 995-1027.
(2007)

Personality constructs have been demonstrated to be useful for explaining and predicting attitudes, behaviors, performance, and outcomes in organizational settings. Many professionally developed measures of personality constructs display useful levels of criterion-related validity for job performance and its facets. In this response to Morgeson et al. (2007), we comprehensively summarize previously published meta-analyses on (a) the optimal and unit-weighted multiple correlations between the Big Five personality dimensions and behaviors in organizations, including job performance; (b) generalizable bivariate relationships of Conscientiousness and its facets (e.g., achievement orientation, dependability, cautiousness) with job performance constructs; (c) the validity of compound personality measures; and (d) the incremental validity of personality measures over cognitive ability. Hundreds of primary studies and dozens of meta-analyses conducted and published since the mid 1980s indicate strong support for using personality measures in staffing decisions. Moreover, there is little evidence that response distortion among job applicants ruins the psychometric properties, including criterion-related validity, of personality measures. We also provide a brief evaluation of the merits of alternatives that have been offered in place of traditional self-report personality measures for organizational decision making. Given the cumulative data, writing off the whole domain of individual differences in personality or all self-report measures of personality from personnel selection and organizational decision making is counterproductive for the science and practice of I-O psychology.

Dilchert, S., Ones, D. S., Viswesvaran, C., & Deller, J.
Psychology Science, 48, 209-225.
(2006)

This introductory article to the special issue of Psychology Science devoted to the subject of “Considering Response Distortion in Personality Measurement for Industrial, Work and Organizational Psychology Research and Practice” presents an overview of the issues of response distortion in personality measurement. It also provides a summary of the other articles published as part of this special issue addressing social desirability, impression management, self-presentation, response distortion, and faking in personality measurement in industrial, work, and organizational settings.

Dilchert, S., Ones, D. S., Van Rooy, D. L., & Viswesvaran, C.
In J. H. Greenhaus & G. A. Callanan (Eds.),
Encyclopedia of career development (vol. 1, pp. 36-42).
Thousand Oaks, CA: Sage.
(2006)

The first part of this encyclopedia entry presents a brief history of the Big Five dimensions of personality. Then, each Big Five dimension is described. The entry concludes with a review of the relevance and usefulness of the Big Five in work and career contexts.

Van Rooy, D. L., Viswesvaran, C., Dilchert, S., & Ones, D. S.
In J. H. Greenhaus & G. A. Callanan (Eds.),
Encyclopedia of career development (vol. 1, pp. 259-265).
Thousand Oaks, CA: Sage.
(2006)

Emotional intelligence (EI) is a concept that has caught the attention of researchers, practitioners, and the general public over the last decade. The idea that career development involves not only a cognitive but also an affective component has been promoted in recent years. Popular books discuss the importance of EI for success in academic and occupational settings, as well as how it determines success in current jobs, promotions, and other important life outcomes. Claims abound that successful negotiation of relationships in a career depends on the perceptions and management of emotions in oneself and others. This entry covers three areas associated EI. First, there is a review of the competing conceptualizations (and associated measurements) of EI. Second, there is an overview of empirical studies that attempt to link EI to successful career development. Finally, there is an identification of some critical future research needs and potential applications.

Van Rooy, D. L., Dilchert, S., Viswesvaran, C., & Ones, D. S.
In K. R. Murphy (Ed.), A critique of emotional intelligence:
What are the problems and how can they be fixed? (pp. 235-262).
Mahwah, NJ: Lawrence Erlbaum Associates.

A wide range of measures have been used to help make decisions in personnel selection, and an extensive research base exists on the criterion-related validity of these measures. Across different jobs, general mental ability (GMA) has been found to be the best predictor of overall performance and task performance. Even if organizations value additional criteria, the prediction of task performance is central to personnel selection. In a fast-changing competitive environment, organizations will generally strive to select individuals high on intelligence in an attempt to maximize performance. On the downside, selecting individuals based on GMA often results in adverse impact for minority groups and can lead to costly litigation for organizations in the United States. Furthermore, there is the competing demand for a diverse workforce as an advantage in a multicultural society and global economy. These two conflicting demands (the need to hire individuals high on general cognitive ability and to obtain a diverse workforce) have contributed to interest in the development of measures of alternate or multiple intelligences. In this chapter, we discuss the three intelligences that have received the most attention in the personnel selection arena. The “Big 3” intelligences consist of general, emotional, and practical intelligence. In this chapter, we provide an overview of each of these and discuss the main merits of each. We conclude by relating the three intelligences together and discuss if there is a “best” intelligence to rely on in personnel selection.

[To “discriminate between” does not equal to “discriminate against” – HR and fairness]
Ones, D. S., & Dilchert, S., & Deller, J.
Wirtschaftspsychologie Aktuell, 2-3, 51-53.
(2006)

Deutschland hat nun ein „Allgemeines Gleichstellungsgesetz“ genanntes „Antidiskriminierungsgesetz“ bekommen, mit dem die deutsche Wirtschaft nicht eben glücklich ist. Die Sorge unter Human-Resource-Managern ist groß, demnächst permanent mit einem Bein im Fettnapf zu stehen.

Ones, D. S., Viswesvaran, C., & Dilchert, S.
Human Performance, 18, 389-404.
(2005)

Personality variables have always predicted important behaviors and outcomes in industrial, work, and organizational psychology. In this commentary, we first review empirically supported structural models of personality that show the following: (a) Personality traits are hierarchically organized, (b) the Big Five are not orthogonal, (c) abnormal personality measures assess the same continuum of traits as normal adult personality measures, and (d) there are compound personality traits that are especially useful in the prediction of organizational behaviors. Second, we provide a brief overview of meta-analyses of compound personality variables. The highest operational validities of single scales (.40s) are associated with personality measures assessing broad, compound personality characteristics, such as integrity, violence potential, customer service orientation, and managerial potential, that incorporate aspects from multiple dimensions of the Big Five. Third, we also review meta-analytic evidence that has linked personality attributes to other important organizational attitudes and behaviors, such as job satisfaction, motivation, and leadership, with multiple correlations for the Big Five in the .40 to .50 range. Fourth, we discuss the important role that meta-analysis has had in establishing the predictive and explanatory value of personality variables. We conclude with some caveats and directions for future research.

Ones, D. S., Viswesvaran, C., & Dilchert, S.
In A. Evers, O. Voskuijl, & N. Anderson (Eds.),
Handbook of personnel selection (pp. 143-173).
Oxford, UK: Blackwell.
(2005)

Our main objective in this chapter is to provide an overview of the vast literature on CA tests in selection contexts. We first discuss the unique status of CA in selection, and clarify its psychometric and psychological meaning. We then review information on the prevalence of CA test use in personnel selection from around the world. We also discuss acceptability of ability testing and applicant reactions. Next, we review the evidence supporting the use of CA tests for selection by summarizing results from meta-analyses examining their criterion-related validity in occupational settings, across national boundaries. The overwhelming evidence suggests that CA tests are predictive of job performance across jobs and cultures. Given this conclusion, we explore the causal mechanisms through which CA comes to influence job performance. Next, we briefly note research on race, ethnic group, gender, and age differences on CA tests and their implications for adverse impact. We conclude our chapter with a discussion of current and new directions for research on CA, including the assessment of CA using various selection methods such as interviews, assessment centers, situational judgment tests (SJTs), and newly proposed intelligences (such as practical intelligence, emotional intelligence, etc.).

Dilchert, S., Ones, D. S., Davis, R. D., & Rostow, C. D.
In F. Avallone, H. K. Sinangil, & A. Caetano (Eds.),
Convivence in organizations and society (pp. 203-208).
Milan, Italy: Guerini Studio.
(2005)

This study reports frequencies of observed counterproductive work behaviors by gender and race in a large sample of law enforcement personnel. Data are reported separately for overall, organizationally targeted, and interpersonal counterproductivity. Results indicate mat gender differences exist (men engaging in CWB more frequently than women), yet all these differences are small. Race differences in observed frequencies of CWB appear negligible. Implications for organizational diversity are discussed.

Dilchert, S., Ones, D. S., Van Rooy, D. L., & Viswesvaran, C.
In F. Avallone, H. K. Sinangil, & A. Caetano (Eds.),
Convivence in organizations and society (pp. 161-168).
Milan, Italy: Guerini Studio.
(2005)

Emotional intelligence (EI) has dramatically gained in popularity over the last ten years. In recent years, the construct bas seen increased numbers of applications in diverse domains (Matthews, Zeidner, & Roberts, 2002) and has been touted as an essential ingredient for success in school, higher education, and the workplace (see, for example, Gibbs, 1995; Goleman. 1995). claims have been made that EI is an essential ingredient for successful relationships in all walks of life. Several recent works (see Murphy, in press; Van Rooy, Dilchert. Viswesvaran, & Ones, in press; Van Rooy & Viswesvaran, 2004) have evaluated the numerous claims regarding the utility of EI in applied contexts. The aim of this paper is to revisit validity and measurement issues, but to outline different conceptualizations of EI, and sketch its role in navigating through relationships in organizational contexts. The paper is organized into two main sections. In the first section, we review the different conceptualizations of the construct found in the scientific literature and summarize the differences between them. In the second section, we discuss potential process mechanisms through which EI relates to interpersonal behaviors in organizations.

Ones, D. S., & Dilchert, S.
In R. A. Spies & B. S. Plake (Eds.),
Mental measurements yearbook (16th ed., pp. 356-359). Lincoln, NE: University of Nebraska Press.
(2005)

The Emotional Judgment Inventory (EJI) is a self-report measure, assessing seven dimensions of emotional intelligence. The test is based on the definition of emotional intelligence from Salovey and Mayer (1990) as “the ability to appraise one’s own and others’ emotions, manage one’s own and others’ emotions, and use one’s emotions intelligently and adaptively in problem solving” (manual, p. 1). Seven EJl scales assess (a) being aware of emotions, (b) identifying own emotions, (c) identifying others’ emotions, (d) managing own emotions, (e) managing others’ emotions, (f) using emotions in problem solving, and (g) expressing emotions adaptively…

Ones, D. S., & Dilchert, S.
In R. A. Spies & B. S. Plake (Eds.),
Mental measurements yearbook (16th ed., pp. 414-416). Lincoln, NE: University of Nebraska Press.
(2005)

This review provides information about the development, reliability, and validity of the Giotto integrity test. Giotto is a self-report, paper-and-pencil personality-based integrity test. The developers intended it to be used for selection, promotion, appraisal, and development purposes in work settings. Seven attributes asserted to tap into aspects of the overall integrity construct arc measured: Prudence, Fortitude, Temperance, Justice, Faith, Charity, and Hope…

[What is the value of “personality” on the job?] 
Deller, J., Ones, D. S., & Dilchert, S.
Wirtschaftspsychologie Aktuell, 12, 35-38.
(2005)

Welchen Einfluss hat Persönlichkeit auf Aspekte wie Führung, Verhalten in Teams, Arbeitsleistung und Managementerfolg? Diesen Fragen ging im Frühsommer die Tagung „International Symposium on Personality at Work“ in Lüneburg nach. Etwa 60 Teilnehmer aus zwölf Nationen, darunter 21 Nachwuchswissenschaftler, trafen sich zum Austausch. State of the Art, Probleme und Trends – ein Interview mit den Veranstaltern.

Ones, D. S., Viswesvaran, C., & Dilchert, S. (2005)
In O. Wilhelm & R. W. Engle (Eds.),
Handbook of understanding and measuring intelligence (pp. 431-468).
Thousand Oaks, CA: Sage.
(2040)

In this chapter, our objective is to summarize the evidence supporting the use of cognitive ability tests for personnel selection and for university admissions. We first provide an overview of results from meta-analyses examining the criterion-related validity of cognitive ability tests in multiple educational and occupational settings, across national boundaries. The overwhelming evidence suggests that cognitive ability tests are predictive of important criteria across jobs and cultures. Given this evidence, we then explore why these tests are valid. In doing so, we discuss the different theoretical causal process mechanisms proposed and tested to explain how and why cognitive ability tests come to predict important behaviors and outcomes in educational and work settings. We also discuss controversial issues around cognitive ability testing in selection settings: (a) predictive value of general mental ability versus specific abilities and (b) gender and ethnic group differences on cognitive ability measures and implications for adverse impact. We conclude with a discussion of individual and societal implications of using cognitive ability test scores for making important selection decisions in applied settings.

Viswesvaran, C., Ones, D. S., & Dilchert, S.
In F. Avallone, H. K. Sinangil, & A. Caetano (Eds.),
Identity and diversity in organizations (pp. 185-191).
Milan, Italy: Guerini Studio.
(2003)

Cognitive ability is a powerful predictor in personnel selection. It has been repeatedly shown to have strong criterion related validity for job performance across situations, jobs, organizations and settings. However, there are large mean differences in cognitive ability across racial groups. In this paper, we review findings, clarify some terms, and discuss the implications of these group differences for organizational diversity composition. We conclude with a discussion of alternatives proposed to address these issues.