SPSS

Methods of conducting and interpreting over 50 statistical tests in SPSS

The following statistical tests and the methods for conducting and interpreting them in SPSS Version 29* are available in Research Engineer. Click on a button below to go directly to the statistical test of interest.

Statistical assumptions in SPSS

Skewness and Kurtosis
Logarithmic Transformations
Levene's Test
Mauchly's Test

Between-subjects statistics in SPSS

Chi-Square Goodness-of-Fit
One-Sample Median Test
One-Sample t-test
Fisher's Exact Test
Chi-Square
Mann-Whitney U
Independent Samples t-test
Unadjusted Odds Ratio
Kruskal-Wallis
ANOVA

Within-subjects statistics in SPSS

McNemar's Test
Wilcoxon Test
Repeated-Measures t-test
Cochran's Q
Friedman's ANOVA
Repeated-Measures ANOVA

Correlations in SPSS

Phi-Coefficient
Point Biserial
Rank Biserial
Biserial
Spearman's rho
Pearson's r

Multivariate statistics in SPSS

Logistic Regression
Multinomial Logistic Regression
Kaplan-Meier
Cochran-Mantel-Haenszel
Cox Regression
Proportional Odds Regression
Fixed-Effects ANOVA
Random-Effects ANOVA
Mixed-Effects ANOVA
ANCOVA
Multiple Regression
MANOVA
MANCOVA
Poisson Regression
Negative Binomial Regression

Psychometrics in SPSS and AMOS

Cronbach's alpha
Split-Half Reliability
Kudar-Richardson 20 (KR-20)
Test-Retest Reliability
Kappa
Intraclass Correlation Coefficient
Principal Components Analysis
Concurrent Validity
Predictive Validity
Known-Groups Validity
Convergent Validity
Incremental Validity
Confirmatory Factor Analysis
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*SPSS Version 29 (Armonk, NY:  IBM Corp.)