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Surveying Personality with Behavior: The Situational Influences and Individual Outcomes of Self-Monitoring Behavior
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Surveying Personality with Behavior: The Situational Influences and Individual Outcomes of Self-Monitoring Behavior. |
| 개인저자 | Lu, Richard W. |
| 단체저자명 | University of California, Berkeley. Business Administration, Ph.D. Program. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 72 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
| ISBN | 9781085780216 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Srivastava, Sameer B. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Through decades of research, scholars have illustrated the complexity of the relationship between unobservable personalities and observable behaviors. Yet, despite this complexity, the predominant empirical method of assessing personality remains the psychometric scale. In this dissertation, I extend past research on behavioral measures of personality by proposing a novel approach using natural language, and highlight at least three key ways it helps advance our understanding of personality and behavior. First, assessing personality from behavior directly bypasses potential cognitive and perceptual biases involved in the self- and peer-report of scales, allowing for a more objective account. Second, it uncovers temporal and situational variance largely obscured by scales, which capture mean tendencies and more stable, individual differences. Third, it has greater potential to shed light on the processes underlying documented correlations between personality and distal outcomes.In Chapter 1, I review the personality and behavior literature and draw out two major conclusions, describing how they have led to three different methods of personality assessment. I discuss the limitations of these methods, explain how my approach overcomes these limitations, and introduce the personality construct of self-monitoring through which I illustrate my approach. In Chapter 2, I detail the construction of a behavioral measure of self-monitoring. I explain how characteristics of the technical apparatus map on to the general theory of self-monitoring, outline the design decisions I made in constructing the measure, and provide comparisons with the survey measure as well as robustness checks. In Chapter 3, I conclude with an empirical analysis of the measure, demonstrating that it is responsive to situations as expected. I additionally demonstrate its utility in its association with consequential individual outcomes such as salary bonus and network constraint. |
| 일반주제명 | Organizational behavior. Behavioral sciences. Personality psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
