Browsing by Author "Shaw, Amy"

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    Reasoning, Fast and Slow: Investigating Cognitive Abilities, Speed and Effects of Personality Traits
    (2015-04-22) Shaw, Amy; Oswald, Frederick L.; Beier, Margaret E; Lane, David M
    Previous research has suggested the existence of a general mental speed factor independent from general mental ability. However inconsistent empirical evidence suggests that the speed-ability relation might be more complicated than what was believed. Adopting the joint item response-response time modeling approach developed by van der Linden and colleagues (2006, 2007, 2009), the current study investigates the psychometric properties of the general speed factor and its relation to g in a reasoning task. Personality trait effects are examined as well to account for the speed and ability variances. In line with the earlier findings, results in the current study suggest that the reasoning speed and ability correlation is minimal and explanations for the mixed research findings are discussed within the context of individual differences and test situations.
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    Reliability Generalization Analysis of the Core Self-Evaluations Scale
    (UMass Amherst, 2021) Ock, Jisoo; McAbee, Samuel T.; Ercan, Seydahmet; Shaw, Amy; Oswald, Frederick L.
    As a multifaceted construct reflecting one’s self-esteem, generalized self-efficacy, locus of control, and emotional stability, core self-evaluations has become popular to measure in applied psychology research, especially given its conceptual importance and empirical usefulness for understanding the dispositional effects on employee attitudes and behaviors. Yet, less attention has been paid to the internal properties of its measurement, relative to its criterion-related validity evidence. Thus, we believe that it is useful and timely to report on meta-analytic evidence regarding the psychometric reliability and associated study characteristics of Core Self-Evaluations Scale (CSES; Judge et al., 2003) to inform their nature, use, and future development. Results demonstrated support for acceptable levels of coefficient alpha across measures (μα = .84, τ = .05). We discuss several implications for measuring CSE in a multidimensional and generalizable manner.