SEMWise: Rigorous, Fast, Useful, Smart, Instructive, and Intuitive
📦 Upload Dataset
CSV · XLS · XLSX · DAT · SAV
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Notes
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🔎 Quick Preview
All rows
Hover to view labels (if included). Left-click a column header to sort. Right-click a column header to remove it from the dataset.
Upload a dataset to see a preview here.
Cleaning actions
📊 Variable Summary
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📝 Variable Summary Report
Sample Size
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Variables
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Generate or view the summary report here (same content as the
Summary report button).
🔬 Exploratory Factor Analysis
EFA controls loading...
🔗 Confirmatory Factor Analysis
Run Time:Short
High samples can increase estimation time considerably.
n=0Click variables in list to select, then drag into model, right-click a variable to
remove, left click construct name to rename.
Variables:
Click to select prefix, drag down to multi-select, drag right to
create factor
📋 CFA Results
No CFA results yet.
🧭 Structural Modeling
Run Time:Short
High samples can increase estimation time considerably.
n=0
Click a variable once to select its prefix group. Drag a selection onto the canvas
to create a latent construct with indicators, or drag onto an
existing construct to add indicators. Drag a single variable onto the canvas to place it as an observed variable (latent constructs require 2+ indicators). Hover over a variable to reveal path or covary arrows, which can be dragged and released over other variables to connect them. To
add an interaction, drag an arrow from the moderator onto a path. Drag residual dots
to reposition; right click removes variables or arrows.