Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 31 - 60 of 106

Full-Text Articles in Social and Behavioral Sciences

Unintended Consequences Of Interview Faking: Impact On Perceived Fit And Affective Outcomes, Brooke D. Charbonneau, Deborah M. Powell, Jeffrey R. Spence, Sean T. Lyons May 2021

Unintended Consequences Of Interview Faking: Impact On Perceived Fit And Affective Outcomes, Brooke D. Charbonneau, Deborah M. Powell, Jeffrey R. Spence, Sean T. Lyons

Personnel Assessment and Decisions

Drawing on signalling theory, we propose that use of deceptive impression management (IM) in the employment interview could produce false signals, and individuals hired based on such signals may incur consequences once they are on the job—such as poor perceived fit. We surveyed job applicants who recently interviewed and received a job to investigate the relationship between use of deceptive IM in the interview and subsequent perceived personjob and person-organization fit, stress, well-being, and employee engagement. In a twophase study, 206 job applicants self-reported their use of deceptive IM in their interviews at Time 1, and their perceived person–job and …


A New Investigation Of Fake Resistance Of A Multidimensional Forced-Choice Measure: An Application Of Differential Item/Test Functioning, Philseok Lee, Seang-Hwane Joo May 2021

A New Investigation Of Fake Resistance Of A Multidimensional Forced-Choice Measure: An Application Of Differential Item/Test Functioning, Philseok Lee, Seang-Hwane Joo

Personnel Assessment and Decisions

To address faking issues associated with Likert-type personality measures, multidimensional forced-choice (MFC) measures have recently come to light as important components of personnel assessment systems. Despite various efforts to investigate the fake resistance of MFC measures, previous research has mainly focused on the scale mean differences between honest and faking conditions. Given the recent psychometric advancements in MFC measures (e.g., Brown & Maydeu-Olivares, 2011; Stark et al., 2005; Lee et al., 2019; Joo et al., 2019), there is a need to investigate the fake resistance of MFC measures through a new methodological lens. This research investigates the fake resistance of …


Applicant Faking On Personality Tests: Good Or Bad And Why Should We Care?, Robert P. Tett, Daniel V. Simonet May 2021

Applicant Faking On Personality Tests: Good Or Bad And Why Should We Care?, Robert P. Tett, Daniel V. Simonet

Personnel Assessment and Decisions

The unitarian understanding of construct validity holds that deliberate response distortion in completing self-report personality tests (i.e., faking) threatens trait-based inferences drawn from test scores. This “faking-is-bad” (FIB) perspective is being challenged by an emerging “faking-is-good” (FIG) position that condones or favors faking and its underlying attributes (e.g., social skill, ATIC) to the degree they contribute to predictor–criterion correlations and are job relevant. Based on the unitarian model of validity and relevant empirical evidence, we argue the FIG perspective is psychometrically flawed and counterproductive to personality-based selection targeting trait-based fit. Carrying forward both positions leads to variously dark futures for …


Faking And The Validity Of Personality Tests: An Experimental Investigation Using Modern Forced Choice Measures, Christopher R. Huber, Nathan R. Kuncel, Katie B. Huber, Anthony S. Boyce May 2021

Faking And The Validity Of Personality Tests: An Experimental Investigation Using Modern Forced Choice Measures, Christopher R. Huber, Nathan R. Kuncel, Katie B. Huber, Anthony S. Boyce

Personnel Assessment and Decisions

Despite the established validity of personality measures for personnel selection, their susceptibility to faking has been a persistent concern. However, the lack of studies that combine generalizability with experimental control makes it difficult to determine the effects of applicant faking. This study addressed this deficit in two ways. First, we compared a subtle incentive to fake with the explicit “fake-good” instructions used in most faking experiments. Second, we compared standard Likert scales to multidimensional forced choice (MFC) scales designed to resist deception, including more and less fakable versions of the same MFC inventory. MFC scales substantially reduced motivated score elevation …


Put Your Best Foot Forward: Introduction To The Special Issue On Understanding Effects Of Impression Management On Assessment Outcomes, Chet Robie, Neil D. Christiansen May 2021

Put Your Best Foot Forward: Introduction To The Special Issue On Understanding Effects Of Impression Management On Assessment Outcomes, Chet Robie, Neil D. Christiansen

Personnel Assessment and Decisions

No abstract provided.


Measuring Intelligence With The Sandia Matrices: Psychometric Review And Recommendations For Free Raven-Like Item Sets, Alexandra M. Harris, Jeremiah T. Mcmillan, Benjamin Listyg, Laura E. Matzen, Nathan Carter Dec 2020

Measuring Intelligence With The Sandia Matrices: Psychometric Review And Recommendations For Free Raven-Like Item Sets, Alexandra M. Harris, Jeremiah T. Mcmillan, Benjamin Listyg, Laura E. Matzen, Nathan Carter

Personnel Assessment and Decisions

The Sandia Matrices are a free alternative to the Raven’s Progressive Matrices (RPMs). This study offers a psychometric review of Sandia Matrices items focused on two of the most commonly investigated issues regarding the RPMs: (a) dimensionality and (b) sex differences. Model-data fit of three alternative factor structures are compared using confirmatory multidimensional item response theory (IRT) analyses, and measurement equivalence analyses are conducted to evaluate potential sex bias. Although results are somewhat inconclusive regarding factor structure, results do not show evidence of bias or mean differences by sex. Finally, although the Sandia Matrices software can generate infinite items, editing …


A Comparison Of The Two-Option Versus The Four-Option Multiple-Choice Item: A Case For Fewer Distractors, Allan Bateson, William R. Dardick Dec 2020

A Comparison Of The Two-Option Versus The Four-Option Multiple-Choice Item: A Case For Fewer Distractors, Allan Bateson, William R. Dardick

Personnel Assessment and Decisions

Multiple choice test items typically consist of the key and 3-4 distractors. However, research has supported the efficacy of using fewer alternatives. Haladyna and Downing (1993) found that it is difficult to write test items with more than one plausible distractor, resulting in items with a correct answer and one alternative, also known as the alternate choice (AC) format. We constructed two 32-item tests; one with four alternatives (MC4) and one with two (AC), using an inter-judge agreement approach to eliminate distractors. Tests were administered to 138 personnel working for a U.S. Government agency. Testing time was significantly less and …


Is It Complicated? Validity Of Personality Interactions For Predicting Performance, Jacob C. Bradburn, Ann Marie Ryan, Anthony Boyce, Tamera Mckinniss, Jason Way Dec 2020

Is It Complicated? Validity Of Personality Interactions For Predicting Performance, Jacob C. Bradburn, Ann Marie Ryan, Anthony Boyce, Tamera Mckinniss, Jason Way

Personnel Assessment and Decisions

Research on personality within the organizational sciences and for employee selection typically focuses on main effects, as opposed to interactive effects between personality variables. Large, multi-organizational datasets involving two different measures of personality were examined to test theoretically driven trait by trait interactions in predicting job performance. Interactive effects of Agreeableness and Conscientiousness, Agreeableness and Extraversion, Extraversion and Conscientiousness, and Emotional Stability and Conscientiousness were hypothesized as predicting overall job performance. However, these hypothesized effects were generally not supported. Implications for personality assessment are discussed.


The Relationship Between Criminal Records And Job Performance: An Examination Of Customer Service Representatives, Jakari N. Griffith, Todd C. Harris Dec 2020

The Relationship Between Criminal Records And Job Performance: An Examination Of Customer Service Representatives, Jakari N. Griffith, Todd C. Harris

Personnel Assessment and Decisions

Between 70 million and 100 million Americans—or as many as one in three—have some type of criminal record (Vallas & Dietrich, 2014). Having even a minor criminal record often functions as a significant impediment to gainful employment and resultant economic security. This is especially problematic given that: (a) many companies now incorporate background checks within their hiring process and (b) little empirical research exists about the relationship between criminal records and job performance. Thus, this study examined the relationship between criminal records and objective performance of customer service representatives (N = 627) in a large telecommunications firm. Our regression analyses …


The Machines Aren’T Taking Over (Yet): An Empirical Comparison Of Traditional, Profiling, And Machine Learning Approaches To Criterion-Related Validation, Kristin S. Allen, Mathijs Affourtit, Craig M. Reddock Dec 2020

The Machines Aren’T Taking Over (Yet): An Empirical Comparison Of Traditional, Profiling, And Machine Learning Approaches To Criterion-Related Validation, Kristin S. Allen, Mathijs Affourtit, Craig M. Reddock

Personnel Assessment and Decisions

Criterion-related validation (CRV) studies are used to demonstrate the effectiveness of selection procedures. However, traditional CRV studies require significant investment of time and resources, as well as large sample sizes, which often create practical challenges. New techniques, which use machine learning to develop classification models from limited amounts of data, have emerged as a more efficient alternative. This study empirically investigates the effectiveness of traditional CRV with a variety of profiling approaches and machine learning techniques using repeated cross-validation. Results show that the traditional approach generally performs best both in terms of predicting performance and larger group differences between candidates …


Editorial: Five Years In, Scott Highhouse Dec 2020

Editorial: Five Years In, Scott Highhouse

Personnel Assessment and Decisions

No abstract provided.


Special Issue - Call For Papers: Rethinking The Future Police Department: Examining The Role Of Testing And Assessment, Dennis Doverspike, Alexandra Petruzzelli, Marc Cubrich Aug 2020

Special Issue - Call For Papers: Rethinking The Future Police Department: Examining The Role Of Testing And Assessment, Dennis Doverspike, Alexandra Petruzzelli, Marc Cubrich

Personnel Assessment and Decisions

No abstract provided.


A Unifying Framework To Study Workplace Decision-Making Aptitude And Performance, Nikki Blacksmith, Maureen E. Mccusker, Theodore L. Hayes Jul 2020

A Unifying Framework To Study Workplace Decision-Making Aptitude And Performance, Nikki Blacksmith, Maureen E. Mccusker, Theodore L. Hayes

Personnel Assessment and Decisions

Employers are facing a skills shortage in the labor market: there are not enough workers who can perform the complex decision-making tasks that characterize 21st-century work. This manuscript aims to stimulate research investigating the relationship among individual differences, decision-making aptitude, and decision performance. We offer guidelines for future research by laying out a framework to unify disparate streams of research from organizational science, and judgment and decision-making research. We advocate for the use of pattern-oriented analytical approaches to capture the complexities of the predictor and criterion space.


The Impact Of Nondiagnostic Information On Selection Decision Making: A Cautionary Note And Mitigation Strategies, Dev K. Dalal, Levi Sassaman, Xiaoyuan (Susan) Zhu Jul 2020

The Impact Of Nondiagnostic Information On Selection Decision Making: A Cautionary Note And Mitigation Strategies, Dev K. Dalal, Levi Sassaman, Xiaoyuan (Susan) Zhu

Personnel Assessment and Decisions

Selection decision makers are inundated with information from which to make decisions about the suitability of a job candidate for a position. Although some of this information is relevant for making a high-quality decision (i.e., diagnostic information), much of the information is actually unrelated to the decision (i.e., nondiagnostic information). Although the deleterious effects of nondiagnostic information on selection decision making have been demonstrated, the prevalence and impact of this type of information is increasing, especially with recent advances in new selection methods used by employers. The purpose of this paper, therefore, is to caution selection decision makers, and/or those …


Threat Of Technological Unemployment, Use Intentions, And The Promotion Of Structured Interviews In Personnel Selection, Kevin P. Nolan, Dev K. Dalal, Nathan Carter Jul 2020

Threat Of Technological Unemployment, Use Intentions, And The Promotion Of Structured Interviews In Personnel Selection, Kevin P. Nolan, Dev K. Dalal, Nathan Carter

Personnel Assessment and Decisions

Meehl (1986) proposed that an important factor underlying professional decision makers’ resistance to standardized decision aids is threat of technological unemployment – fear that using the practices would reduce the perceived value of their employment. Nolan, Carter, and Dalal (2016) provided initial support for threat of technological unemployment being a factor that contributes to practitioners’ reluctance to adopt scientifically meritorious standardized hiring practices. This study serves to further develop the theory of threat of technological unemployment in personnel selection by (a) replicating the findings of our earlier research using a within-subjects methodology that is more generalizable to the cognitive processes …


Decoy Effects Improve Diversity Hiring, Nathan R. Kuncel, Jeffrey A. Dahlke Jul 2020

Decoy Effects Improve Diversity Hiring, Nathan R. Kuncel, Jeffrey A. Dahlke

Personnel Assessment and Decisions

A growing literature demonstrates that when making choices among multiple options, decision makers are strongly influenced by the mere presence of additional options, even when those options are largely undesirable and are never actually selected. The effects of irrelevant options on decisions, often called decoy effects, have been observed in hiring and admissions decisions where the nature of a third candidate can radically shift preferences. In this study, we examine the influence of decoy effects on diversity hiring and extend research by examining choices with more than two organizational goals. Results indicate that the presence of a second candidate who …


Does Feedback Increase Decision Aid Use Among Hiring Professionals?, Aneeqa Thiele, Alexander T. Jackson, Stacey M. Stremic, Satoris S. Howes Jul 2020

Does Feedback Increase Decision Aid Use Among Hiring Professionals?, Aneeqa Thiele, Alexander T. Jackson, Stacey M. Stremic, Satoris S. Howes

Personnel Assessment and Decisions

We examined the influence of formative and outcome feedback on people’s reliance on decision aids. Decision aids are tools that managers can use to increase the accuracy of their hiring decisions. In our study, participants were asked to make 20 different hiring decisions and make predictions of a candidate’s performance on the job, with the option of using a decision aid formula. We manipulated whether participants received feedback on the accuracy of their predictions, the accuracy of the decision aid’s predictions, or both. The results demonstrated that feedback failed to have a significant impact on decision aid use for both …


Communicating Validity Information To Differentially Experienced Audiences: The Effects Of Numeracy And Nontraditional Metrics, Nathaniel M. Voss, Christopher J. Lake Jul 2020

Communicating Validity Information To Differentially Experienced Audiences: The Effects Of Numeracy And Nontraditional Metrics, Nathaniel M. Voss, Christopher J. Lake

Personnel Assessment and Decisions

One of the biggest challenges facing organizational researchers is convincing practitioners to adopt evidence-based personnel selection practices such as the structured interview. In this study, we examined the effects of nontraditional validity metrics and numeracy by presenting validity information about the structured interview to audiences with differing amounts of interview experience (students, working adults, and hiring managers). The results indicated that nontraditional metrics were associated with higher understanding, more positive attitudes, and greater perceptions of the usefulness of the structured interview. These effects were constant across differing levels of numeracy. Additionally, the results revealed that nontraditional metrics result in more …


Pushing The Limits For Judgmental Consistency: Comparing Random Weighting Schemes With Expert Judgments, Martin C. Yu, Nathan R. Kuncel Jul 2020

Pushing The Limits For Judgmental Consistency: Comparing Random Weighting Schemes With Expert Judgments, Martin C. Yu, Nathan R. Kuncel

Personnel Assessment and Decisions

Consistent use of information has been identified as a critical issue that can undermine expert predictions. Using three personnel assessment datasets, we conduct Monte Carlo simulations to compare the accuracy of expert judgements for predicting the job performance of managers against four different weighting schemes: consistent random weights, completely random weights, unit weights, and optimal weights. Expert accuracy fell within the completely random weight distribution in two samples and at the low end of the consistent random weight distribution in one sample. In other words, consistent random weights reliably outperformed expert judgment for hiring decisions across three datasets with a …


Introduction To The Special Issue On Applications Of Judgment And Decision Making To Problems In Personnel Assessment, Edgar E. Kausel, Alexander T. Jackson Jul 2020

Introduction To The Special Issue On Applications Of Judgment And Decision Making To Problems In Personnel Assessment, Edgar E. Kausel, Alexander T. Jackson

Personnel Assessment and Decisions

No abstract provided.


Special Issue - Call For Papers: Understanding Effects Of Impression Management On Assessment Outcomes, Neil Christiansen, Chet Robie Mar 2020

Special Issue - Call For Papers: Understanding Effects Of Impression Management On Assessment Outcomes, Neil Christiansen, Chet Robie

Personnel Assessment and Decisions

No abstract provided.


A New Perspective To Measuring Employee Growth: Developing A Successful Aging At Work Scale, Stanimira K. Taneva, Georgi P. Yankov Mar 2020

A New Perspective To Measuring Employee Growth: Developing A Successful Aging At Work Scale, Stanimira K. Taneva, Georgi P. Yankov

Personnel Assessment and Decisions

The aging of the world’s population has become a grand societal challenge, which requires an urgent response from researchers, professionals, and the wider society. One way to respond to this challenge is by supporting individuals in sustaining longer and healthier working lives, that is, age successfully. Although the advantages of promoting and enabling successful aging at work have been widely acknowledged, no single instrument for measuring this construct has been published so far. We develop and test in three consecutive samples a two-dimensional successful aging at work scale. This novel instrument is rooted conceptually in the most recent theoretical developments …


Behavioral Assessment Of Expert Talent Competencies: Analysis, Decision Making, And Written And Verbal Communication Skills, Homayoon Kord, George C. Thornton Iii Mar 2020

Behavioral Assessment Of Expert Talent Competencies: Analysis, Decision Making, And Written And Verbal Communication Skills, Homayoon Kord, George C. Thornton Iii

Personnel Assessment and Decisions

Organizations face challenges of screening applicants for critical skills to serve in expert staff positions requiring interactions with line managers. Such positions require a special set of cognitive and interpersonal competencies. This study investigates the psychometric qualities of a new behavioral assessment method in use in an applied setting. Using data from a group of 219 finalists for positions in a large Iranian steel company, it examined the validity and fairness of the method in relation to other test and demographic information. Results showed evidence of convergent and discriminant validity and no discrimination against women or older candidates. The study …


Initial Reliability And Validity For The Critical Hire® - Screen, Tony Tatman, Matthew T. Huss Mar 2020

Initial Reliability And Validity For The Critical Hire® - Screen, Tony Tatman, Matthew T. Huss

Personnel Assessment and Decisions

Although the use of integrity testing during the application process has become a frequent practice in general business settings, their use has been rather nonexistent in the field of corrections. This limited use may stem from a lack of awareness about integrity tests in corrections, as well as a lack of integrity measures that have been normed and validated for use with correctional applicants. This study outlines the development, reliability, and validity for the Critical Hire®-Screen (CH-S), an overt integrity assessment measure developed for probation, parole, and other correctional officer job applicants. Four separate studies were conducted and provide evidence …


Some Advice For Psychologists Who Want To Work With Computer Scientists On Big Data, Cornelius J. König, Andrew M. Demetriou, Philipp Glock, Annemarie M. F. Hiemstra, Dragos Iliescu, Camelia Ionescu, Markus Langer, Cynthia C. S. Liem, Anja Linnenbürger, Rudolf Siegel, Ilias Vartholomaios Mar 2020

Some Advice For Psychologists Who Want To Work With Computer Scientists On Big Data, Cornelius J. König, Andrew M. Demetriou, Philipp Glock, Annemarie M. F. Hiemstra, Dragos Iliescu, Camelia Ionescu, Markus Langer, Cynthia C. S. Liem, Anja Linnenbürger, Rudolf Siegel, Ilias Vartholomaios

Personnel Assessment and Decisions

This article is based on conversations from the project “Big Data in Psychological Assessment” (BDPA) funded by the European Union, which was initiated because of the advances in data science and artificial intelligence that offer tremendous opportunities for personnel assessment practice in handling and interpreting this kind of data. We argue that psychologists and computer scientists can benefit from interdisciplinary collaboration. This article aims to inform psychologists who are interested in working with computer scientists about the potentials of interdisciplinary collaboration, as well as the challenges such as differing terminologies, foci of interest, data quality standards, approaches to data analyses, …


Situational Judgment Tests: An Overview Of Development Practices And Psychometric Characteristics, Deborah L. Whetzel, Taylor S. Sullivan, Rodney A. Mccloy Mar 2020

Situational Judgment Tests: An Overview Of Development Practices And Psychometric Characteristics, Deborah L. Whetzel, Taylor S. Sullivan, Rodney A. Mccloy

Personnel Assessment and Decisions

Situational judgment tests (SJTs) are popular assessment methods often used for personnel selection and promotion. SJTs present problem scenarios to examinees, who then evaluate each response option for addressing the issue described in the scenario. As guidance for practitioners and researchers alike, this paper provides experience- and evidence-based best practices for developing SJTs: writing scenarios and response options, creating response instructions, and selecting a response format. This review describes scoring options, including key stretching and within-person standardization. The authors also describe research on psychometric issues that affect SJTs, including reliability, validity, group differences, presentation modes, faking, and coaching.


Crowdsourcing Job Satisfaction Data: Examining The Construct Validity Of Glassdoor.Com Ratings, Richard N. Landers, Robert C. Brusso, Elena M. Auer Nov 2019

Crowdsourcing Job Satisfaction Data: Examining The Construct Validity Of Glassdoor.Com Ratings, Richard N. Landers, Robert C. Brusso, Elena M. Auer

Personnel Assessment and Decisions

Researchers, practitioners, and job seekers now routinely use crowdsourced data about organizations for both decision-making and research purposes. Despite the popularity of such websites, empirical evidence regarding their validity is generally absent. In this study, we tackled this problem by combining two curated datasets: (a) the results of the 2017 Federal Employee Viewpoint Survey (FEVS), which contains facet-level job satisfaction ratings from 407,789 US federal employees, and which we aggregated to the agency level, and (b) current overall and facet ratings of job satisfaction of the federal agencies contained within FEVS from Glassdoor.com as scraped from the Glassdoor application programming …


“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak Nov 2019

“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak

Personnel Assessment and Decisions

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by organizations seeking to identify and hire high-quality job applicants. Yet the volume, variety, and velocity of professional involvement among I-O psychologists remains relatively limited when it comes to developing and evaluating AI/ML applications for talent assessment and selection. Furthermore, there is a paucity of empirical research that investigates the reliability, validity, and fairness of AI/ML tools in organizational contexts. To stimulate future involvement and research, we share our review and perspective on the current state of AI/ML in talent assessment as well as its benefits and potential pitfalls; …


Developing Device-Equivalent And Effective Measures Of Complex Thinking With An Information Processing Framework And Mobile First Design Principles, Darrin M. Grelle, Sara L. Gutierrez Nov 2019

Developing Device-Equivalent And Effective Measures Of Complex Thinking With An Information Processing Framework And Mobile First Design Principles, Darrin M. Grelle, Sara L. Gutierrez

Personnel Assessment and Decisions

Organizations are increasingly offering pre-employment assessments on mobile devices to evaluate candidates. The aim of this study is to investigate whether employing a mobile first responsive web design based on an information processing framework will result in device-equivalent measures of cognitive ability. Tests of numerical and deductive reasoning composed of interactive item types were tested for measurement equivalence across device types. Hypotheses were tested using data collected from paid participants over 3 weeks in 2018. Participants completed the test on both a PC and a mobile device. Paired samples t-tests indicated no mean differences in scores or number of items …


Validity Evidence For Off-The-Shelf Language-Based Personality Assessment Using Video Interviews: Convergent And Discriminant Relationships With Self And Observer Ratings, Louis Hickman, Louis Tay, Sang Eun Woo Nov 2019

Validity Evidence For Off-The-Shelf Language-Based Personality Assessment Using Video Interviews: Convergent And Discriminant Relationships With Self And Observer Ratings, Louis Hickman, Louis Tay, Sang Eun Woo

Personnel Assessment and Decisions

Technological advances have led to the development of automated methods for personnel assessment that are purported to augment or outperform human judgment. However, empirical research providing validity evidence for such techniques in the selection context remains scarce. In addressing this void, this study focuses on language-based personality assessments using an off-the-shelf, commercially available product (i.e., IBM Watson Personality Insights) in the context of video-based interviews. The scores derived from the language-based assessment were compared to self and observer ratings of personality to examine convergent and discriminant relationships. The language-based assessment scores showed low convergence with self-ratings for openness, and with …