Theory-Based Data Analysis for the Social Sciences

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Pine Forge Press, 19 feb. 2002 - 254 sidor

The advent of complex and powerful computer-generated statistical models has greatly eroded the former prominence of social theory in data analysis, replacing it with an emphasis on statistical technique. To correct this trend, Carol S. Aneshensel presents a method for bringing data analysis and statistical technique into line with theory.

 

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Innehåll

The Connection Between Analysis Theory
2
The inherent Subjectivity of Analysis
17
Operationalization and the Assessment of Fit
31
SUMMARY
44
The Third Variable
57
The Exclusionary
70
An Example of Exclusionary
85
The Analysis of Simple Spuriousness
98
The Analysis of Complex Spuriousness
112
Ruling Out Alternative Theoretical
127
Intervening and Consequent Variables
155
SUMMARY
230
Informative Comparisons
240
References
247
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Om författaren (2002)

Carol S. Aneshensel is a sociologist (Ph.D., Cornell University) and Professor at the University of California, Los Angeles. She specializes in the fields of the sociology of mental health and medical sociology, with an emphasis on the social origins of stress and its impact on depression. She has been Principal Investigator for numerous studies funded by the National Institute on Aging and the National Institute of Mental Health. She has published more than 75 peer-review journal articles and several books, including her work as lead editor of the Handbook of the Sociology of Mental Health, Second Edition (Springer, 2012). She has received awards for distinguished contributions from the Sociology of Mental Health and Medical Sociology sections of the American Sociological Association (ASA). Theory-Based Data Analysis for the Social Sciences received Honorable Mention for Best Publication in 2003 from the Sociology of Mental Health section, ASA.

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