Multiway Contingency Tables Analysis for the Social Sciences
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ABCD
association measures
Association Parameters
C2 C3
Category=P
Conditional Independence
Confusion Data
Cross Product Ratios
Difference Test
distribution
Empty Cells
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
hierarchical
Hierarchical Log Linear Model
Independence Model
independence testing
Iterative Proportional Fitting Algorithm
least squares estimation
linear
log
Log Linear Model
Logit Model
loglinear modeling for social research
loglinear models
marginal
Marginal Frequencies
Marginal Homogeneity
Marginal Table
model
models
odds
ordinal categorical variables
quasi-independence
Quasi-independence Model
Quasi-symmetry Model
Random Zeros
ratio
Ridit Scores
Sample Size Calculation
Sampling Distribution
saturated
Saturated Model
Violate
X2 Distribution
Product details
- ISBN 9780805803778
- Weight: 970g
- Dimensions: 152 x 229mm
- Publication Date: 01 Aug 1989
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed.
This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
