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An Introduction to Correlation
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An Introduction to Regression
The Method of Least Squares
Assessing the Goodness of Fit: Sums of Squares, R and R2
Assessing Individual Predictors
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An Introduction to Multiple Regression
Sums of Squares, R and R2
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Categorical Predictors and Multiple Regression
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An Introduction to Logistic Regression
Assessing the Model: The Log-Likelihood Statistic
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Assessing the Model: R and R2
Assessing the Model: Information Criteria
Assessing the Contribution of Predictors: The Z-Statistic
The Odds Ratio
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Comparing Several Means: ANOVA (GLM 1)
Introduction to ANOVA
Interpreting F
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Mean Squares
The F-Ratio
Assumptions of ANOVA
Planned Contrasts
Post-Hoc Procedures
One-way ANOVA
Calculating the Effect Size
Reporting Results from One-Way Independent ANOVA
Analysis of Covariance, ANCOVA (GLM 2)
Assumptions of ANCOVA
Calculating the Effect Size
Reporting Results
Factorial ANOVA (GLM 3)
Theory of Factorial ANOVA (independent design)
Factorial ANOVA as Regression
Two-Way ANOVA
Repeated-Measures Designs (GLM 4)
Introduction to Repeated-Measure Designs
Factorial Repeated-Measure Designs
Mixed designs (GLM 5)
Non-Parametric Tests
An Introduction
Comparing Two Independent Conditions: the Wilcoxon Rank-Sum Test
Comparing Two Related Conditions: the Wilcoxon Signed-Rank Test
Differences Between Several Independent Groups: the Kruskal–Wallis Test
Differences Between Several Related Groups: Friedman’s ANOVA
Multivariate Analysis of Variance (MANOVA)
Exploratory Factor Analysis
Analyzing Categorical Data
An Introduction
Pearson’s Chi-Square Test
Fisher’s Exact Test
The Likelihood Ratio
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An Approach to Qualitative Analysis
The Nature of Qualitative Data
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Utilizing Research and Evaluation
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Quantitative Data Analytics and Visualization Using Software
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