Regression Analysis SPSS/Statistics (Questions & Answers)
Everything you need to know about:

• Adjusted predicted value
• Adjusted R2
• βi
• Cook’s distance
• Covariance ratio (CVR)
• Cross-validation
• Deleted residual
• DFBeta
• DFFit
• Dummy variables
• Durbin–Watson test
• F-ratio
• Generalization
• Goodness of fit
• Hat values
• Heteroscedasticity
• Hierarchical regression
• Homoscedasticity
• Independent errors
• Leverage
• Mahalanobis distances
• Mean squares
• Model sum of squares
• Multicollinearity
• Multiple R
• Multiple regression
• Outcome variable
• Perfect collinearity
• Predictor variable
• Residual
• Residual sum of squares
• Shrinkage
• Simple regression
• Standardized DFBeta
• Standardized DFFit
• Standardized residuals
• Stepwise regression
• Studentized deleted residuals
• Studentized residuals
• Suppressor effects
• t-statistic
• Tolerance
• Total sum of squares
• Unstandardized residuals
• Variance inflation factor (VIF)
• Autocorrelation
• bi

Comparing Two Means (SPSS/Statistics Questions & Answers)
Everything you need to know about:

• Dependent t-test
• Grand mean
• Independent t-test
• Standard error of differences
• Variance sum law

Everything you need to know about:

• Adjusted mean
• Analysis of covariance (ANCOVA)
• Covariate
• Homogeneity of regression slopes
• Partial eta squared (partial η2)
• Partial out
• Sidak correction

Non-parametric Tests, Everything you need to know about:

• Cochran’s Q
• Friedman’s ANOVA
• Jonckheere–Terpstra test
• Kendall’s W
• Kolmogorov–Smirnov Z
• Kruskal–Wallis test
• Mann–Whitney test
• McNemar’s test
• Median test
• Monte Carlo method
• Moses extreme reactions
• Non-parametric tests
• Ranking
• Sign test
• Wald–Wolfowitz runs
• Wilcoxon rank-sum test
• Wilcoxon signed-rank test

Exploratory Factor Analysis (SPSS/Statistics Questions & Answers), Everything you need to know about:

• Alpha factoring
• Anderson–Rubin method
• Common variance
• Communality
• Component matrix
• Confirmatory factor analysis CFA)
• Cronbach’s α
• Direct oblimin
• Equamax
• Extraction
• Factor analysis
• Factor loading
• Factor matrix
• Factor scores
• Factor transformation matrix, 
• Intraclass correlation coefficient (ICC)
• Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy
• Kaiser’s criterion
• Latent variable
• Oblique rotation
• Orthogonal rotation
• Pattern matrix
• Principal component analysis (PCA)
• Promax
• Quartimax
• Random variance
• Rotation
• Scree plot
• Singularity
• Split-half reliability
• Structure matrix
• Unique variance
• Varimax