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Editor's Introduction | p. 5 |
Relationships in Crosstabulations | p. 8 |
The Log-Linear Model | p. 11 |
Specifying Models | p. 11 |
Saturated Models | p. 12 |
Nonsaturated Models | p. 17 |
Fitting Marginals | p. 19 |
Generating Expected Frequencies | p. 22 |
Analyzing Odds | p. 24 |
Testing for Fit | p. 30 |
How To Evaluate Models Fitted to Data | p. 30 |
Comparisons of Different Models of the Same Data | p. 31 |
Independence Hypothesis | p. 32 |
Equal Marginal Distributions Hypothesis | p. 33 |
More Complex Models: Polytomous Variables | p. 33 |
More Complex Hypotheses | p. 37 |
An Analog to Multiple R[superscript 2] for Large Samples | p. 40 |
Applications to Substantive Problems | p. 42 |
Causal Models for Log-Linear Models | p. 42 |
Analyzing Change Over Time | p. 47 |
Comparative Cross-Sections | p. 47 |
Two-Wave Panels | p. 48 |
Markov Chain Models | p. 54 |
Age, Period, and Cohort Models | p. 57 |
Special Techniques with Log-Linear Models | p. 63 |
What To Do About Zero Cells | p. 63 |
Fixing Start Values | p. 65 |
Analyzing Ordered Data | p. 67 |
Collapsing Polytomous Variables | p. 70 |
Nonhierarchical Models | p. 72 |
Conclusions | p. 76 |
References | p. 77 |
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