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Articles 31 - 34 of 34

Full-Text Articles in Quantitative Psychology

Self-Monitoring Personality At Work Revisited: A Comparative Meta-Analysis, Michael P. Wilmot May 2011

Self-Monitoring Personality At Work Revisited: A Comparative Meta-Analysis, Michael P. Wilmot

Department of Agricultural Leadership, Education, and Communication: Dissertations, Theses, and Student Research

The validity of self-monitoring personality in work and organizational settings was reexamined. Comparative meta-analyses using both random-effects and fixed-effects models were conducted (349 total samples; N = 75,811) to test the relationship between self-monitoring personality and work-related and demographic correlates, as well as the reliability of the self-monitoring measures. Contributions were made to the literatures of self-monitoring and meta-analysis. Self-monitoring: Results indicated that self-monitoring related to a number of relevant organizational outcomes, including job effectiveness and success, leadership, and ingratiation. Some results ran contrary to the prior meta-analysis (Day, Shleicher, Unckless, & Hiller, 2002). Meaningful differences were found between the …


Nice Guys Finish Fast And Bad Guys Finish Last: Facilitatory Vs. Inhibitory Interaction In Parallel Systems, Ami Eidels, Joseph W. Houpt, Nicholas Altieri, Lei Pei, James T. Townsend Apr 2011

Nice Guys Finish Fast And Bad Guys Finish Last: Facilitatory Vs. Inhibitory Interaction In Parallel Systems, Ami Eidels, Joseph W. Houpt, Nicholas Altieri, Lei Pei, James T. Townsend

Psychology Faculty Publications

Systems Factorial Technology is a powerful framework for investigating the fundamental properties of human information processing such as architecture (i.e., serial or parallel processing) and capacity (how processing efficiency is affected by increased workload). The Survivor Interaction Contrast (SIC) and the Capacity Coefficient are effective measures in determining these underlying properties, based on response-time data. Each of the different architectures, under the assumption of independent processing, predicts a specific form of the SIC along with some range of capacity. In this study, we explored SIC predictions of discrete-state (Markov process) and continuous-state (Linear Dynamic) models that allow for certain types …


The Statistical Properties Of The Survivor Interaction Contrast, Joseph W. Houpt, James T. Townsend Oct 2010

The Statistical Properties Of The Survivor Interaction Contrast, Joseph W. Houpt, James T. Townsend

Psychology Faculty Publications

The Survivor Interaction Contrast (SIC) is a powerful tool for assessing the architecture and stopping rule of a model of mental processes. Despite its demonstrated utility, the methodology has lacked a method for statistical testing until now. In this paper we briefly describe the SIC then develop some basic statistical properties of the measure. These developments lead to a statistical test for rejecting certain classes of models based on the SIC. We verify these tests using simulated data, then demonstrate their use on data from a simple cognitive task.


Modeling Change Over Time: Conceptualization, Measurement, Analysis, And Interpretation, David Chan Nov 2009

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 …