A5052595540- Job Satisfaction and Organizational Behavior
- Gender Diversity and Inequality
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
- Psychometric Methodologies and Testing
- Work-Family Balance Challenges
- Human Resource Development and Performance Evaluation
- Sensory Analysis and Statistical Methods
- Mentoring and Academic Development
- Management and Organizational Studies
- Big Data and Business Intelligence
- Meta-analysis and systematic reviews
- Statistical Methods and Inference
- Social and Intergroup Psychology
- Multi-Criteria Decision Making
- Cardiovascular Issues in Pregnancy
- Higher Education Research Studies
- Ethics in Business and Education
- Optimal Experimental Design Methods
- Complex Systems and Decision Making
- Mental Health Research Topics
- Education Systems and Policy
- Motivation and Self-Concept in Sports
University of North Carolina at Charlotte
2018-2025
Binghamton University
2023
Davidson College
2010-2022
Rice University
2002-2015
Wake Forest University
2015
The University of Texas Health Science Center at Houston
2000-2004
Given considerable racial differences in voluntary turnover ( Bureau of Labor Statistics, 2006 , Table 28), the present study examined influence diversity climate perceptions on intentions among managerial employees a national retail organization. The authors hypothesized that pro‐diversity work would correlate most negatively with Blacks, followed order strength by Hispanics and Whites (Hypothesis 1), organizational commitment mediate these interactive effects race 2). Results from sample...
Relative weight analysis is a procedure for estimating the relative importance of correlated predictors in regression equation. Because sampling distribution weights unknown, researchers using are unable to make judgments regarding statistical significance weights. J. W. Johnson (2004) presented bootstrapping methodology compute standard errors weights, but this cannot be used determine whether significantly different from zero. This article presents that allows one weight. The authors...
For years, organizational scholars have sought effective ways to evaluate the importance of predictors included in a regression analysis. Recent techniques, such as general dominance weights and relative weights, shown great promise for guiding evaluations predictor importance. Nevertheless, questions remain regarding how one should investigate presence multidimensional criterion variable. The purpose this article is extend understanding statistics multivariate designs. authors review...
Although prior evidence has demonstrated racial differences in employee absenteeism, no existing research explains this phenomenon. The present study examined the roles of 2 diversity cues related to workplace support—perceived organizational value and supervisor–subordinate racial/ethnic similarity—in explicating demographic difference among 659 Black, White, Hispanic employees U.S. companies. Blacks reported significantly more absences than their White counterparts, but was pronounced when...
Advances in data science, such as mining, visualization, and machine learning, are extremely well-suited to address numerous questions the organizational sciences given explosion of available data. Despite these opportunities, few scholars our field have discussed specific ways which lens science should be brought bear on topic big data's reciprocal impact science. The purpose this paper is provide an overview phenomenon its potential for impacting both positive negative ways. We identifying...
The psychometric soundness of measures has been a central concern articles published in the Journal Applied Psychology (JAP) since inception journal. At same time, it isn't clear that investigators and reviewers prioritize to degree would allow one have sufficient confidence conclusions regarding constructs. purposes present article are (a) examine current scale development evaluation practices JAP; (b) compare these recommended practices, previous other journals; (c) use comparisons make...
This study empirically examined the statistical and methodological issues raised in reviewing process to determine what “gatekeepers” of literature, reviewers editors, really say about methodology when making decisions accept or reject manuscripts. Three hundred four editors’ reviewers’ letters for 69 manuscripts submitted Journal Business Psychology were qualitatively coded using an iterative approach. Systematic coding generated 267 codes from 1,751 statements that identified common errors...
Techniques such as dominance analysis and relative weight have been proposed recently to evaluate more accurately predictor importance in ordinary least squares (OLS) regression. Similar questions of also arise instances where logistic regression is the primary mode analysis. This article presents an extension that can be applied thus aids determination importance. We briefly review techniques then discuss a new procedure for calculating estimates Finally, we present substantive example...
The world is awash in data. Data being created and stored at ever-increasing rates through a variety of new methods technologies. accumulating all sorts accessible places. Much that data great interest to industrial–organizational (I-O) psychologists, often ways never anticipated by those who develop technologies processes generate store I-O psychologists also the course research practice that, especially if joined with originating from other sources, create giant datasets. This abundance...
An increasing number of organizational researchers examine the effects ethnic identity and other-group orientation. In doing so, many use Phinney's (1992) Multigroup Ethnic Identity Measure (MEIM), which purportedly allows simultaneous assessment various groups. Although several studies demonstrate adequate validity reliability for scores on MEIM, only two that have assessed its measurement equivalence across racial groups (a) focus exclusively component, (b) entirely adolescent samples, (c)...
Abstract Machine learning (ML) is being widely adopted by organizations to assist in selecting personnel, commonly scoring narrative information or eliminating the inefficiencies of human scoring. This combined article presents six such efforts from operational selection systems actual organizations. The findings show that ML can score collected candidates either writing orally response assessment questions (called constructed response) as accurately and reliably judges, but much more...
Gender equity and inclusion has taken center stage in business, science, policy making. We reflect on three systemic challenges that might hinder the rise of qualified women scholars to leadership positions business schools: (a) The masculine social structure schools, (b) a muddled approach performance evaluation, (c) an under-representation research topics affect workplace. Drawing extant science gender bias equity, combined with collective expertise experience author team, we offer 12...
This study examined how specific features of adaptive tests are related to test takers' reactions. Participants took a computer-adaptive in which 2 features, difficulty the initial item and subsequent items, were manipulated, then responded questionnaires assessing their reactions test. The data show that relationship between test's objective difficulty, was determined by manipulated characteristics, fully mediated perceived performance. Additional analyses evaluated impact feedback on In...
Purpose Though a number of demographics (e.g. sex, age) have been associated with work overload, scholars yet to consider the potential impact immigrant status. This is important because immigrants constitute significant proportion workforce, and evidence suggests many employers believe they are easier exploit. paper aims examine hours, interpersonal justice, status as predictors overload. Design/methodology/approach The hypotheses were tested using large, national random telephone survey...
Purpose The purpose of this paper is to examine the relative importance four managerial skill dimensions (technical skill, administrative human and citizenship behavior) for predicting effectiveness. In addition, it aims explore whether these varies as a function gender or organizational level. Design/methodology/approach Participants were 733 managers enrolled in nationally recognized leadership development program. Ratings obtained from peers using well‐validated 360‐degree assessment...
This article considers the efficacy of matching racioethnicity employees and customer base as a human resource strategy within service organizations. Despite being advocated widely, literature on its effectiveness is scant riddled with conflicting findings. We revisit theoretical rationale underlying this strategy, formulate new theory, introduce demographic representativeness construct (i.e., congruence between employee profiles) to organizational test our hypotheses. Using multisource data...
The current article notes that the standard application of relative importance analyses is not appropriate when examining interactive or other higher order effects (e.g., quadratic, cubic). Although there a growing demand for strategies could be used to decompose predicted variance in regression models containing such effects, has been no formal, systematic discussion whether it use statistics decompositions, and if appropriate, how go about doing so. purpose this address gap literature by...
Credibility and trustworthiness are the bedrock upon which any science is built. The strength of these foundations has been increasingly questioned across sciences as instances research misconduct mounting concerns over prevalence detrimental practices have identified. Consequently, purpose this article to encourage our scientific community positively proactively engage in efforts that foster a healthy robust industrial organizational (I-O) psychology. We begin by advancing six defining...
A variety of alternative mechanisms, strategies, and “ways doing” have been proposed for improving the rigor robustness published research in psychological sciences recent years. In this article, we describe two existing but underused publication models—registered reporting (RR) results-blind reviewing (RBR)—that believe would contribute important ways to both conduct evaluation research. We first outline procedures distinguishing features pathways note their value promoting positive changes...