Many of the examples do not show the screening of data or address the assumptions of the model. My intent was to focus on the major analyses, but these issues are EXTREMELY important and should always be considered in your research.

Independent Variables 
Dependent Variables 
Test 
Association/relationship 
2 continuous variables 
(no IV or DV designated) 

2 categorical variables  (no IV or DV designated)  ChiSquare  
1 IV  1 DV (continuous)  Simple Regression  
2 or more variables  1 DV (continuous)  Multiple Regression (standard)  
2 or more variables (theory)  1 DV (continuous) 
[HierarchicalChange in
R^{2}] Multiple Regression (sequential) 

2 or more variables  2 or more variables  Canonical Correlation  




Group Differences 
1 IV (2 groups)* 
1 DV (continuous) 


1 IV (2 related groups)** 
1 DV (continuous) 


1 IV (3 or more groups)* 
1 DV (continuous) 


2 IVs (both categorical)* 
1 DV (continuous) 

2 IVs (both categorical but one repeating measures factor)  1 DV (continuous)  Split Plot ANOVA  
2 IVs (both categorical but one repeating measures factor)  Multiple DVs that are commensurate  Profile Analysis  
2 IVs (both categorical but one with lots of repeating measures0  1 DV (continuous) that repeats (timeseries)  Generalized Estimating Equation (GEE)  
1 IV (categorical)  1 DV (continous) and 1 Covariant  ANCOVA  

1 IV (2 groups)* 
2 or more DVs (continuous) 


1 IV (2 or more groups)* 
2 or more DVs (continuous) 


2 IVs (both categorical)* 
2 or more DVs (continuous) 

1 (or more) IVs (both categorical and repeating measures)  Multiple DVs (continuous) at multiple times  Doubly Multivariate Analysis  
Predicting Group Membership  2 or more IVs (predictors)  1 DV (catgorical)  Discriminate Function Analysis 
2 or more variables  1 DV (binary outcome)  Logistic Regression  




Structural 
No IVs or DVs 
Exploratory Factor Analysis  
Exploratory Factor
Analysis  Annotated Output 

Confirmatory Factor Analysis  
Confirmatory Factor AnalysisLISREL  
Screening Data  Univariate  Univariate Screening  Univariate Screening  
Screening Data  MV  Multivariate Screening  
Missing Data  MVA in SPSS  Missing Data MVA 
Note. *All these IVs are
referred to as between subjects factors. **IV is a within subject factor.
Reporting Standards
[Standard
for Reporting in Social Science]
Structural Equation Modeling
David Kenny (free book on correlational
inferences)
http://davidakenny.net/cm/causalm.htm
Mixed Method
Article
Survey
Principles for Constructing
Web Surveys
Other Resources
http://core.ecu.edu/psyc/wuenschk/SPSS/SPSSMV.htm
http://lstat.kuleuven.be/newjava/vestac/
http://www.ruf.rice.edu/~lane/stat_sim/comp_r/index.html
Data List
http://www2.hawaii.edu/~daniel/Data/dir.html#467