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Personality and Its Impacts Across t...
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Wilmot, Michael P.
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Personality and Its Impacts Across the Behavioral Sciences: A Quantitative Review of Meta-Analytic Findings.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Personality and Its Impacts Across the Behavioral Sciences: A Quantitative Review of Meta-Analytic Findings./
作者:
Wilmot, Michael P.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
681 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:
Dissertations Abstracts International83-02B.
標題:
Personality psychology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10287523
ISBN:
9798534688313
Personality and Its Impacts Across the Behavioral Sciences: A Quantitative Review of Meta-Analytic Findings.
Wilmot, Michael P.
Personality and Its Impacts Across the Behavioral Sciences: A Quantitative Review of Meta-Analytic Findings.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 681 p.
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Thesis (Ph.D.)--University of Minnesota, 2017.
This item must not be sold to any third party vendors.
Personality has consequences. Following the emergence of and scholarly convergence around the Five-Factor Model (FFM), or Big Five, some 35 years ago, research interest in personality traits has exploded across the behavioral sciences. Meta-analyses reporting Big Five (i.e., Emotional Stability, Agreeableness, Conscientiousness, Extraversion, and Openness/Intellect) relations have so proliferated that a quantitative second-order review was needed. The purpose of this dissertation was to conduct such a review. Data were gathered from an exhaustive search (through July 2016) of 167 published Big Five meta-analyses, which reported empirical relations to 712 unique correlate, behavioral, and outcome variables. A multi-hurdle selection process was used to screen variables for study inclusion, and a content-based coding procedure was used to organize variables into a set of four theoretically meaningful "meta-categories"-Well-Being, Performance, Leadership, and Counterproductivity-which were examined in series of three studies.Study 1 used procedures from first-order and second-order psychometric meta-analysis to estimate univariate relations for the Big Five traits. Empirical effect size benchmarks for interpreting trait relations were also developed. Study 2 built on the prior study by estimating univariate relations for the two metatraits, Stability and Plasticity. Results represent the most comprehensive nomological network of metatrait relations in the literature, and provide evidence of their wide-ranging theoretical and empirical relevance (e.g., Stability was the strongest predictor of Counterproductivity variables, and Plasticity was the strongest predictor of Leadership variables). Finally, Study 3 examined multivariate effects of both Big Five and metatraits models. Dominance analysis was also used to examine traits' relative contribution to overall prediction. Results indicate that both trait models contributed substantial variance to predicting variables that are consequential and fundamental to human interest, and that most of these variables were multiply determined by at least two or three traits. Together, these studies summarize and advance knowledge about personality and its impacts across the behavioral sciences.
ISBN: 9798534688313Subjects--Topical Terms:
2144789
Personality psychology.
Subjects--Index Terms:
Big Five
Personality and Its Impacts Across the Behavioral Sciences: A Quantitative Review of Meta-Analytic Findings.
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Personality has consequences. Following the emergence of and scholarly convergence around the Five-Factor Model (FFM), or Big Five, some 35 years ago, research interest in personality traits has exploded across the behavioral sciences. Meta-analyses reporting Big Five (i.e., Emotional Stability, Agreeableness, Conscientiousness, Extraversion, and Openness/Intellect) relations have so proliferated that a quantitative second-order review was needed. The purpose of this dissertation was to conduct such a review. Data were gathered from an exhaustive search (through July 2016) of 167 published Big Five meta-analyses, which reported empirical relations to 712 unique correlate, behavioral, and outcome variables. A multi-hurdle selection process was used to screen variables for study inclusion, and a content-based coding procedure was used to organize variables into a set of four theoretically meaningful "meta-categories"-Well-Being, Performance, Leadership, and Counterproductivity-which were examined in series of three studies.Study 1 used procedures from first-order and second-order psychometric meta-analysis to estimate univariate relations for the Big Five traits. Empirical effect size benchmarks for interpreting trait relations were also developed. Study 2 built on the prior study by estimating univariate relations for the two metatraits, Stability and Plasticity. Results represent the most comprehensive nomological network of metatrait relations in the literature, and provide evidence of their wide-ranging theoretical and empirical relevance (e.g., Stability was the strongest predictor of Counterproductivity variables, and Plasticity was the strongest predictor of Leadership variables). Finally, Study 3 examined multivariate effects of both Big Five and metatraits models. Dominance analysis was also used to examine traits' relative contribution to overall prediction. Results indicate that both trait models contributed substantial variance to predicting variables that are consequential and fundamental to human interest, and that most of these variables were multiply determined by at least two or three traits. Together, these studies summarize and advance knowledge about personality and its impacts across the behavioral sciences.
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