Substantive and operational issues of response bias across levels of analysis: An example of climate-satisfaction relationships
成果类型：
Article
署名作者：
Ostroff, C; Kinicki, AJ; Clark, MA
署名单位：
Columbia University Teachers College; Columbia University; Arizona State University; Arizona State University-Tempe; American University
刊物名称：
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN：
0021-9010
DOI：
10.1037//0021-9010.87.2.355
发表日期：
2002
页码：
355-368
关键词：
摘要：
Two studies tested whether method variance is present at multiple levels of analysis and whether methodological procedures can minimize its impact. In Study 1, 8,052 employees from 71 hotels completed measures of climate, work environment characteristics, and satisfaction. A comparison of correlations at the individual level, cross-level, cross-level split, aggregate level, and aggregate-split level of analysis revealed that response bias was present across multiple levels. Results suggest that samples should be split in half when cross-level and aggregate correlations are computed to ameliorate response bias problems that arise from individual-level method variance. In Study 2, results indicated that the temporal spacing of measures of climate and satisfaction influenced response bias. Implications and recommendations for future research are discussed.
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