Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences
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A01=Alexander von Eye
A01=Keith E. Niedermeier
Author_Alexander von Eye
Author_Keith E. Niedermeier
behavioral data analysis
categorical outcome modeling
Category=JHBA
Category=JHBC
Category=JMAL
cell
Cell Frequencies
Chance Models
Composite Statement
configural
configural frequency analysis
Crystallized Intelligence
design
Design Matrix
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Error Cells
expected
Expected Cell Frequencies
frequencies
frequency
GLM Regression Analysis
Helmert Contrasts
Hit Cells
Log Linear Base Model
Log Linear Model
Log Linear Modeling
log-linear
longitudinal categorical data methods
Marginal Homogeneity
matrix
model
multinomial logistic regression
Multivariate Categorical Data
observed
Observed Cell Frequencies
Partial Prediction
Pearson X2
Prediction Hypotheses
Seventh Trial
social science statistics
SPSS command syntax
Standardized Residuals
Statement Calculus
Von Eye
Work Habits
Product details
- ISBN 9780805831818
- Weight: 660g
- Dimensions: 152 x 229mm
- Publication Date: 01 Aug 1999
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.
Authored by von Eye, Alexander; Niedermeier, Keith E.
