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A Comparison of Evaluation Designs
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An Introduction to Correlation
Measuring Relationships
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Confidence Intervals for R
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Bivariate Correlation
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Kendall’s Tau (non-parametric)
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Comparing Correlations
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Reporting Correlation Coefficients
Regression
An Introduction to Regression
The Method of Least Squares
Assessing the Goodness of Fit: Sums of Squares, R and R2
Assessing Individual Predictors
Interpreting a Simple Regression
Overall Fit of the Object Model
Model Parameters
Multiple Regression
An Introduction to Multiple Regression
Sums of Squares, R and R2
Parsimony-Adjusted Measures of Fit
Methods of Regression
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Stepwise Method
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Reporting Multiple Regression
Categorical Predictors and Multiple Regression
Logistic Regression
An Introduction to Logistic Regression
Assessing the Model: The Log-Likelihood Statistic
Assessing the model: The Deviance Statistic
Assessing the Model: R and R2
Assessing the Model: Information Criteria
Assessing the Contribution of Predictors: The Z-Statistic
The Odds Ratio
Methods of Logistic Regression
The Forced Entry Method
Stepwise Methods
Assumptions in Logistic Regression
Binary Logistic Regression
Reporting Logistic Regression
Testing Assumptions
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Linearity of Logit
Multinomial Logistic Regression
Comparing Two Means
The T-Test
The Independent T-Test
The Dependent T-Test
Comparing Several Means: ANOVA (GLM 1)
Introduction to ANOVA
Interpreting F
Total Sum of Squares (SST)
Model Sum of Squares (SSM)
Residual Sum of Squares (SSD)
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
Yates’s Correction
Multilevel Linear Models
Qualitative Data Analysis
An Approach to Qualitative Analysis
The Nature of Qualitative Data
Data Condensation
Data Display
Drawing and Verifying Conclusions
Conceptual Frameworks
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Sampling
General Sampling Strategies
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Content Analysis
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Discourse Analysis
Linking Qualitative and Quantitative Data
Approaches to Mixed Methods Designs
Fundamental of Qualitative Analysis
First Cycle Codes and Coding
Descriptive Coding
In Vivo Coding
Process Coding
Concept Coding
Emotion Coding
Values Coding
Evaluation Coding
Dramaturgical Coding
Holistic Coding
Provisional Coding
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Attribute Coding
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Subcoding
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Themeing the Data
A-Priori Codes
Second Cycle Codes and Coding
Codes to Patterns
Narrative Description
Matrix Display
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Analytical Memoing
Within Case and Across-Case Analysis
Displaying the Data
Designing Matrix, Network and Graphic Displays
Methods of Exploring
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Drawing and Verifying Conclusion
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Bar Graphs
Line Graphs
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Utilizing Research and Evaluation
Evaluation Designs
Alternative Approaches to Counterfactual
Using Pipeline Design
Using Historical Analysis
Using Concept Mapping
Inferential Statistics
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