Analysing data¶
Each analysis is a module you configure in the settings panel on the right; its results appear as a card in the large area on the left. Every analysis lets you choose a data source (default Auto = your latest data) and the columns to analyse.
Pick the analysis that matches your question:
You want to… |
Use |
|---|---|
Summarise variables (means, spread, distributions) |
|
Measure how two+ variables move together |
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Compare a measure across independent groups |
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Compare conditions measured on the same people |
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Relate two categorical variables |
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Predict an outcome from one or more variables |
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Check the internal consistency of a scale |
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Discover the underlying factors behind a set of items |
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Test a hypothesised factor structure |
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Fit a custom structural equation model |
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Group respondents into clusters |
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Plan a sample size or check statistical power |
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Summarise a “select all that apply” question |
Common options¶
Most analyses share a few conveniences:
Verbal indicators — adds in-table verbal columns (e.g. whether a result is statistically significant).
Verbal report — a dropdown for how much plain-language prose to write: None, Key findings, Significant only, or Full. The amount of prose scales with how much there is to say, so large analyses stay readable.
Number columns — replaces long variable names with numbered references in big tables and adds a legend, keeping wide tables readable.
Plots — optional figures (histograms, box plots, heatmaps, scatter plots, …). Plots embed directly in copied/exported output. Where a plot can number the variables (a categorical axis, pie slices, or a heatmap), the number→name mapping is spelt out as a caption under the figure. Pie charts also expose separate sliders for the radial position of the percentages and of the slice names (move either outside the pie).
Confidence intervals / effect sizes — where applicable, reported alongside the test.
Every result can be copied or exported — see Results & export.