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- Agreement (1)
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Articles 1 - 5 of 5
Full-Text Articles in Quantitative Psychology
Restructured Frame-Of-Reference Training Improves Rating Accuracy, Ming-Hong Tsai, Serena Wee, Brandon Koh
Restructured Frame-Of-Reference Training Improves Rating Accuracy, Ming-Hong Tsai, Serena Wee, Brandon Koh
Research Collection School of Social Sciences
The use of heuristic judgments is prevalent in organizations and negatively impacts accurate employee assessments. To minimize the negative impact of heuristic judgments (i.e., anchoring and adjustment), we aim to improve rating accuracy by restructuring frame‐of‐reference (FOR) training. We conducted five studies (N = 1,143) using different samples (three including participants with hiring experience), training environments (onsite and online), and rating contexts (evaluations of sales representatives, teachers, contract negotiation specialists, and retail store managers). Across the five studies, the average improvement in rating accuracy was at least twice as large for restructured FOR (vs. control) training as it was for …
Mixture Latent Markov Modeling: Identifying And Predicting Unobserved Heterogeneity In Longitudinal Qualitative Status Change, Mo Wang, David Chan
Mixture Latent Markov Modeling: Identifying And Predicting Unobserved Heterogeneity In Longitudinal Qualitative Status Change, Mo Wang, David Chan
Research Collection School of Social Sciences
There are many areas of organizational research where we may be concerned with subgroup differences in status change profiles. The purpose of this article is to illustrate, using a real data set on retirees' postretirement employment statuses (PES), how mixture latent Markov modeling may be applied to substantive research in organizational settings to identify population subgroups with varying status change profiles and examine their correlates, by modeling unobserved heterogeneity in longitudinal qualitative changes. Steps in the modeling process are highlighted and limitations, cautions, recommendations, and extensions of the technique are discussed.
What Is Method Variance And How Can We Cope With It? A Panel Discussion, Michael T. Brannick, David Chan, James M. Conway, Charles E. Lance, Paul E. Spector
What Is Method Variance And How Can We Cope With It? A Panel Discussion, Michael T. Brannick, David Chan, James M. Conway, Charles E. Lance, Paul E. Spector
Research Collection School of Social Sciences
A panel of experts describes the nature of, and remedies for, method variance. In an attempt to help the reader understand the nature of method variance, the authors describe their experiences with method variance both on the giving and the receiving ends of the editorial review process, as well as their interpretation of other reviewers’ comments. They then describe methods of data analysis and research design, which have been used for detecting and eliminating the effects of method variance. Most methods have some utility, but none prevent the researcher from making faulty inferences. The authors conclude with suggestions for resolving …
Modeling Change Over Time: Conceptualization, Measurement, Analysis, And Interpretation, David Chan
Modeling Change Over Time: Conceptualization, Measurement, Analysis, And Interpretation, David Chan
Research Collection School of Social Sciences
The objective of this research report is to provide a state-of-the art review of the issues and methods relating to the modeling of change over time. The focus is on the quantitative assessment of the concept of change of time, which includes issues of conceptualization, measurement, data analysis, and interpretation. The rationale and motivation for this research originated from the author?s observations (specifically in the past decade in the capacities of journal editor, reviewer, symposium discussant, and workshop leader) on the need for a comprehensive and relatively non-technical reference on and integration of various issues in the modeling of change …
Multilevel Methods: Emergent Issues And Future Directions In Measurement, Longitudinal Analyses And Non-Normal Outcomes, Paul D. Bliese, David Chan, Robert E. Ployhart
Multilevel Methods: Emergent Issues And Future Directions In Measurement, Longitudinal Analyses And Non-Normal Outcomes, Paul D. Bliese, David Chan, Robert E. Ployhart
Research Collection School of Social Sciences
The study of multilevel phenomena in organizations involves a complex interplay between methods and statistics on one hand and theory development on the other. In this introduction, the authors provide a short summary of the five articles in this feature topic and use them as a platform to discuss the broad need for work in the two areas of (a) multilevel construct validation and measurement and (b) statistical advances in variance decomposition. Within these two broad frameworks, the authors specifically discuss, first, the need to continue moving beyond notions of isomorphism in developing and testing aggregate-level constructs. Second, they discuss …