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학술논문

Social Desirability Response Effects on the Task and Relationship Conflict Associations: Latent-variable Structural Equation Approaches

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영문명
발행기관
한국자료분석학회
저자명
Kyoosang Choi
간행물 정보
『Journal of The Korean Data Analysis Society (JKDAS)』Vol.16 No.1, 31~40쪽, 전체 10쪽
주제분류
자연과학 > 통계학
파일형태
PDF
발행일자
2014.02.28
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영문 초록

Social desirability bias is the tendency of individuals to report an answer in a way that he or she believes is socially acceptable. Respondents are likely to overestimate the importance to them of socially desirable characteristics and to underestimate the importance of less socially desirable ones. Social desirability bias is known as one of the main sources of method variance which refers to variance attributable to the measurement method rather than the construct of interest. Social desirability bias continues to be the key challenge in measuring conflict-related instruments. Using two latent-variable structural equation approaches, this study examines the effects of a social desirability response bias on the task and relationship conflict associations. Findings from a sample of 58 project teams consisting of 279 college students revealed that social desirability was significantly related to both self reported task conflict and relationship conflict measures, but social desirability effects did not account for a significant amount of the shared variance between task and relationship conflict constructs. The theoretical and practical implications of this study are also discussed.

목차

1. Introduction
2. Social Desirability Response Effects, Task Conflict, and Relationship Conflict
3. Methods
4. Results
5. Discussion
References

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APA

Kyoosang Choi. (2014).Social Desirability Response Effects on the Task and Relationship Conflict Associations: Latent-variable Structural Equation Approaches. Journal of The Korean Data Analysis Society (JKDAS), 16 (1), 31-40

MLA

Kyoosang Choi. "Social Desirability Response Effects on the Task and Relationship Conflict Associations: Latent-variable Structural Equation Approaches." Journal of The Korean Data Analysis Society (JKDAS), 16.1(2014): 31-40

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