A Multiple-Perspective Approach to Data Analysis in Congruence Research
Publication in refereed journal

香港中文大學研究人員

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摘要Despite the popularity of the congruence construct (similarity, fit, and agreement) in organizational theories, the operationalization of congruence and the appropriate methods to analyze it have concerned many researchers. A structural equation modeling-based latent congruence model (LCM) that operationalizes congruence as the mean and difference of the component measures has recently been introduced. The LCM provides a simple analytical framework for examining the measurement equivalence of the component measures and for conducting congruence analysis and component analysis. The objective of this note is to highlight the similarities and differences between the LCM and the polynomial regression (PR) approach to studying congruence. The major difference is that the LCM considers congruence and its components as distinctive constructs, and therefore they can be used to answer different research questions. The determination of which constructs and analytical approach to use should be based on the theory and research hypotheses that answer the research question. Indeed, because LCM provides a simple framework for both congruence analysis and component analysis, researchers are encouraged to answer their research questions from both perspectives.
著者Cheung GW
期刊名稱Organizational Research Methods
出版年份2009
月份1
日期1
卷號12
期次1
出版社SAGE Publications (UK and US)
頁次63 - 68
國際標準期刊號1094-4281
電子國際標準期刊號1552-7425
語言英式英語
關鍵詞component analysis; data analysis; latent congruence model; polynomial regression
Web of Science 學科類別Business & Economics; Management; MANAGEMENT; Psychology; Psychology, Applied; PSYCHOLOGY, APPLIED

上次更新時間 2021-09-09 於 23:44