这是David Garson的多元统计讲义,共七百多页,完全手工整理,讲得非常全面,非常实用,可作为多元统计和spss的学习和参考用书。pdf格式
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Association
* Dichotomous Measures
* Nominal Measures
* Nominal-Interval Association: Eta
* Ordinal Measures
Assumptions, Testing of
Canonical Correlation
Cluster Analysis
Correlation
Correlation, Partial
Correspondence Analysis
Cox Regression (Proportional Hazards Model)
Crosstabulation
Curve Estimation
Data Imputation/Missing Values
Data Levels
Discriminant Function Analysis
Evaluation Research
* Program Theory
Event History Analysis
Factor Analysis
Game Theory
Generalized Linear Models/Generalized Estimating Equations
GLM (Univariate), ANOVA,
and ANCOVA
GLM (Multivariate), MANOVA,
and MANCOVA
Hierarchical Linear Modeling
Kaplan-Meier Survival Analysis
Latent Class Analysis
Linear Mixed Models
Logistic Regression
Log-linear Models,
Logit, and Probit
Multidimensional Scaling
Multilevel Modeling
Network Analysis
Nonlinear Regression
Ordinal Regression
Partial Least Squares Regression
Path Analysis
Probability
Probit and Logit Response Models
Qualitative Methods
Random Coefficients Models
Random Effects Models
Regression Analysis
Reliability Analysis
Resampling
Research Designs
Sampling
Scales and Standard Measures
Significance Testing
* Binomial Test
* Normal Curve Means Tests
* t-tests
* Chi-Square Significance Tests
* Fisher Exact Test
* One-sample Runs Test of
randomness
* One-sample Kolmogorov-
Smirnov goodness-of-fit test
* Tests for two independent
samples
* Tests for >two independent
samples
* Tests for two dependent samples
* Tests for >two dependent
samples
* Resampling Methods
Simulation
* Social Agent Simulation
Structural Equation Modeling
Survey Research
Theoretical Frameworks
Time Series Analysis
Two-Stage Least Squares Regression
Validity Weighted Least Squares Regressi