StatLab user guide
This guide explains how to get data into StatLab, prepare it, choose and run the right analysis, read every number in the output and report it in APA style. Each procedure page has a worked example computed from the bundled sample dataset.
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Analyses
- Frequencies
- Descriptives
- Explore (normality, outliers)
- Crosstabs and chi-square
- One-sample t test
- Independent-samples t test
- Paired-samples t test
- One-way ANOVA
- Bivariate correlation (Pearson, Spearman)
- Linear regression
- Reliability (Cronbach's alpha)
- Mann-Whitney U test
- Wilcoxon signed-rank test
- Kruskal-Wallis H test
More procedures (general linear models, regression, classification, nonparametrics, survival, power, missing data…)
- Chi-square goodness-of-fit
- Binomial test
- Runs test
- One-sample Kolmogorov-Smirnov test
- Mann-Whitney U test
- Kruskal-Wallis, median and Jonckheere-Terpstra tests
- Wilcoxon signed-rank, sign and McNemar tests
- Friedman, Kendall's W and Cochran's Q
- Life tables
- Kaplan-Meier survival analysis
- Cox regression
- ROC curve
- Autocorrelations
- Moving averages
- Exponential smoothing
- Seasonal decomposition
- Effect sizes with confidence intervals
- Power analysis — t tests
- Power analysis — one-way ANOVA
- Power analysis — linear regression
- Power analysis — correlation
- Power analysis — proportions
- Power analysis — chi-square
- Missing value analysis
- Multiple imputation
- Reliability analysis (alpha, split-half, Guttman, ICC)
- Reverse scoring
- Scale scores
- Factorial ANOVA and ANCOVA (GLM Univariate)
- MANOVA (GLM Multivariate)
- Repeated-measures and mixed ANOVA
- Partial correlation
- Multiple linear regression (blocks, stepwise, diagnostics)
- Binary logistic regression
- Multinomial logistic regression
- Ordinal regression (proportional odds)
- Factor analysis and principal components
- K-means cluster analysis
- Hierarchical cluster analysis
- Discriminant analysis
- Bar charts (simple, clustered, stacked) with error bars
- Line and area charts
- Pie and donut charts
- Histogram with normal curve
- Boxplots (simple and clustered)
- Violin and raincloud plots
- Scatterplots with fit lines and loess
- Scatterplot matrix
- Normal Q-Q and P-P plots (plain and detrended)
- Regression residual plots
- Means (profile) plots
- Scree plot
- Dendrogram (hierarchical clustering)
- Correlation heatmap
- Mosaic plot
- ROC curve
- Kaplan-Meier survival plot
- Population pyramid
- Dual-axis chart
- Forest plot
- Pareto chart
- X-bar, R and S control charts
- Individuals and moving range chart
- p and np control charts
- c and u control charts
- Sequence (time-series) chart
- High-low, range bar and difference area charts
- Dot plot
- Drop-line chart
- 3-D scatterplot