Author: Shi Xilai
Publisher:
Publish Date: 2006-01-01
Features: In social empirical research, what statistical methods should be adopted to analyze the original data of social surveys? This book introduces, through the one-to-one correspondence between the high-dimensional contingency table structure of attribute data and log-linear models, combined with examples, the various structural models corresponding to this data using the SPSS software package for analysis, and extracts valuable information from the tables corresponding to different models. It proposes that attribute data does not meet the basic conditions for multivariate analysis and cannot be simply applied with the multivariate linear regression equation to process the data. This book has strong operability and can be used as a textbook for undergraduate and graduate students majoring in sociology in ordinary universities, as well as a reference for social survey workers.
Introduction to Attribute Data Analysis: (21st Century Sociology Series Textbooks)
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