Summary | Tier Definitions | Per-Function Status | Active Exceptions | Validation Gaps | How to Read "SPSS-Compatible" | Methodology

Overview | Reliability Analysis | Basic Usage | Detailed Output | Interpreting Cronbach's Alpha | McDonald's Omega | With Survey Weights | Using tidyselect | Grouped Analysis | Exploratory Factor Analysis | Understanding the Output | Rotation Methods | Extraction Methods | Fixing the Number of Factors | Creating Scale Scores | Quick Scale Construction | Using the Scale in Analysis | Complete Example | Practical Tips | Summary | Next Steps

Overview | Recoding with rec() | Simple Recoding | Reverse-Coding | Dichotomizing | Keeping and Copying Values | Dummy Coding with to_dummy() | Basic Usage | Label-Based Column Names | Reference Category (n-1 Coding) | Adding to Existing Data | Standardization with std() | Basic Standardization | Standardization Methods | Weighted Standardization | Group-Wise Standardization | Centering with center() | Grand-Mean Centering | Group-Mean Centering | Weighted Centering | Row Operations | Row Means | Using tidyselect | Using pick() | Minimum Valid Items | Row Sums | Row Count | POMPS Transformation | Complete Example | Practical Tips | Summary | Next Steps

Overview | Inspecting Labels | Variable Labels | Value Labels | Finding Variables | Setting Labels | Setting Variable Labels | Setting Value Labels | Converting Between Formats | Labelled → Factor | Labelled → Character | Factor → Numeric | Numeric/Factor → Labelled | Declaring Missing Values | Setting Values as Missing | Removing All Labels | Preserving Labels Through Pipelines | The Problem | The Solution: copy_labels() | Cleaning Unused Labels | Complete Example | Practical Tips | Summary | Next Steps

Overview | Pearson Correlation | Basic Usage | With Survey Weights | Correlation Matrix | Detailed Output | Grouped Analysis | Spearman Correlation | Multiple Variables | Kendall's Tau | Partial Correlation | Interpreting Correlations | Strength Guidelines | Choosing the Right Method | Comparing Methods | Correlation Does Not Imply Causation | Complete Example | Reporting Results (APA Style) | Practical Tips | Summary | Next Steps

Overview | Summary Statistics with describe() | Basic Usage | Multiple Variables | With Survey Weights | Grouped Analysis | Choosing Statistics | Understanding the Output | Frequency Tables with frequency() | Basic Frequency | Weighted Frequencies | Grouped Frequencies | Cross-Tabulation with crosstab() | Basic Crosstab | Weighted Crosstabs | Grouped Crosstabs | Multiple Response Sets with multiple_response() | Data Dictionary with codebook() | Complete Example | Practical Tips | Summary | Next Steps

What is mariposa? | Key Features | The Example Dataset | Five-Minute Tour | 1. Explore the Data | 2. Transform Variables | 3. Compare Groups | 4. Post-Hoc Analysis | 5. Measure Relationships | 6. Build Models | Compact vs. Detailed Output | Grouped Analysis | Quick Reference | Data Import & Export | Label Management | Data Transformation | Descriptive Statistics | Hypothesis Testing | Post-Hoc & Effect Sizes | Scale Analysis | Regression | Weighted Statistics | Guides

Overview | Linear Regression | Simple Regression | Detailed Output | Understanding Coefficients | Multiple Regression | SPSS-Style Interface | With Survey Weights | Grouped Analysis | Interpreting R-squared | Using Transformed Predictors | Logistic Regression | When to Use | Basic Logistic Regression | Understanding Odds Ratios | Multiple Predictors | Interpreting Model Fit | Average Marginal Effects | Complete Example | Practical Tips | Summary | Next Steps

Overview | Choosing the Right Test | Checking Normality First | t-Tests | Independent Samples | Multiple Variables at Once | One-Sample t-Test | Grouped Analysis | One-Way ANOVA | Post-Hoc Tests | Assumption Check | Factorial ANOVA | ANCOVA | Non-Parametric Tests | Mann-Whitney U Test | Kruskal-Wallis H Test | Wilcoxon Signed-Rank Test | Friedman Test | Binomial Test | Categorical Tests | Chi-Square Test of Independence | Effect Sizes for Categorical Data | Fisher's Exact Test | Chi-Square Goodness-of-Fit | McNemar's Test | Interpreting Results | p-Values | Effect Sizes | Multiple Comparisons | Complete Example | Practical Tips | Summary | Parametric Tests | Next Steps

Overview | Reading SPSS Files | Basic Import | Tagged Missing Values | Working with Tagged NAs | Reading Other Formats | Stata | SAS | SPSS Portable | Excel | Inspecting Imported Data | Exporting Data | Writing SPSS Files | Writing Stata Files | Writing SAS Transport Files | Writing Excel Files | Roundtripping: SPSS → R → SPSS | Practical Tips | Summary | Next Steps

Overview | The Impact of Weights | Weighted Statistics Functions | Central Tendency | Dispersion | Distribution Shape | Precision and Range | Multiple Variables | Effective Sample Size | Weights in Analysis Functions | Grouped Weighted Analysis | Diagnosing Weight Issues | Checking Weight Distribution | Missing Weights | Weight Trimming | Complete Example | Best Practices | Summary | Next Steps