If you would like to see brief descriptions of each analysis to help decide what tests are most appropriate for your study, please click here: Brief Methods Description
Getting Started – Univariate Analyses
Analysis
R Link
SAS Link
Descriptive Statistics
Levene’s Test for Homogeneity of Variance
Normality Tests
Side-by-Side Boxplots
ANOVA and ANCOVA
Analysis
R Link
SAS Link
ANOVA
One-way ANOVA
Two-way ANOVA
Three-way ANOVA
ANCOVA
One-way ANCOVA
Two-way ANCOVA
Repeated Measures ANOVA
Multivariate Repeated Measures ANOVA
Repeated Measures Mixed Model ANOVA
Single Factor Repeated Measures Mixed Model ANOVA
Bivariate Analysis (Two Variables)
Analysis
R Link
SAS Link
General Information
Flow Chart of Continuous by Categorical Tests
Two Continuous Variables
Correlation
Simple Linear Regression
Two Categorical Variables
Chi-Square Analysis and Fisher's Exact Test
McNemar's Test
Conhran's Q
Continuous by Categorical Parametric Tests
One-Way ANOVA
One-Way ANOVA with Repeated Measures
Paired T-test
Two-Independent Samples T-test
Continuous by Categorical Nonparametric Tests
Friedman's Test
Kruskal-Wallis Test
Mann-Whitney U Test
Wilcoxon Signed-Rank Test
Design of Experiments using Mixed Models
Analysis
R Link
SAS Link
General Information
Definitions
Completely Randomized Design (CRD)
CRD Single Factor
CRD Factorial
CRD Nested
CRD Split Plot
CRD Split-Split Plot
CRD Split Plot with Experimental Unit Sampling
CRD Split Plot with Experimental Unit Sampling and Subsampling
Randomized Complete Block Design (RBD)
RBD Single Factor
RBD Factorial
RBD Nested
RBD Split Plot
RBD Split-Split Plot
RBD Split Plot with Experimental Unit Sampling
RBD Split Plot with Experimental Unit Sampling and Subsampling
RBD Strip Plot
Unresolvable Incomplete Block Design (IBD)
IBD Single Factor
IBD Factorial
IBD Nested
IBD Split Plot
IBD Split-Split Plot
IBD Split Plot with Experimental Unit Sampling
IBD Split Plot with Experimental Unit Sampling and Subsampling
Multilevel Mixed Models / Hierarchical Linear Models
