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Log-Linear Models : Quantitative Applications in the Social Sciences - David H. Knoke

Log-Linear Models

Quantitative Applications in the Social Sciences

Paperback

Published: 1st September 1980
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Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.

Editor's Introductionp. 5
Relationships in Crosstabulationsp. 8
The Log-Linear Modelp. 11
Specifying Modelsp. 11
Saturated Modelsp. 12
Nonsaturated Modelsp. 17
Fitting Marginalsp. 19
Generating Expected Frequenciesp. 22
Analyzing Oddsp. 24
Testing for Fitp. 30
How To Evaluate Models Fitted to Datap. 30
Comparisons of Different Models of the Same Datap. 31
Independence Hypothesisp. 32
Equal Marginal Distributions Hypothesisp. 33
More Complex Models: Polytomous Variablesp. 33
More Complex Hypothesesp. 37
An Analog to Multiple R[superscript 2] for Large Samplesp. 40
Applications to Substantive Problemsp. 42
Causal Models for Log-Linear Modelsp. 42
Analyzing Change Over Timep. 47
Comparative Cross-Sectionsp. 47
Two-Wave Panelsp. 48
Markov Chain Modelsp. 54
Age, Period, and Cohort Modelsp. 57
Special Techniques with Log-Linear Modelsp. 63
What To Do About Zero Cellsp. 63
Fixing Start Valuesp. 65
Analyzing Ordered Datap. 67
Collapsing Polytomous Variablesp. 70
Nonhierarchical Modelsp. 72
Conclusionsp. 76
Referencesp. 77
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780803914926
ISBN-10: 080391492X
Series: Quantitative Applications in the Social Sciences
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 80
Published: 1st September 1980
Country of Publication: US
Dimensions (cm): 20.27 x 15.29  x 0.48
Weight (kg): 0.1