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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