jamovi cheat sheet

This cheat sheet outlines key jamovi commands and navigation steps for statistical analysis, as taught in the PHCM9795 course

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This work was developed with the assistance of NotebookLM

Download & Install: Free at https://www.jamovi.org/download.html. Version 2.6.26 solid is recommended. [Section 1.8]
Main Views: Spreadsheet view (accessed via Data tab) for data entry and changes; Analysis view (accessed via Analyses tab) for statistical results. [Section 1.9]
Open/Save/Export: Click the three-bar icon (upper-left corner). [Section 1.10]
- Open Data: 3-bar icon > Open > Browse.
- Save Work: 3-bar icon > Save (.omv file format, saves data and output).
- Export Data: 3-bar icon > Export (data in other formats like txt, csv, xlsx, rds, dta).
- Export Output: 3-bar icon > Export (output as pdf or html).
- Copy Output to Word Processor: Right-click on output and choose Export (plain text) or Copy table/Copy table as HTML.
Install Modules: Analyses tab > large + (top-right) > jamovi library. Search and INSTALL desired module (e.g., surveymv, esci). [Sections 2.15 and 3.17]

Enter Data: Type directly into cells in the spreadsheet view. [Section 1.9]
Rename Variables: Click Data tab > click column header > Setup, then edit the Variable name, Measure type (e.g., Nominal, Continuous), and Levels (e.g., for categorical data). [Section 1.9]
Create New Variable: Data tab > click empty column > Setup > NEW COMPUTED VARIABLE. Enter variable name and formula in the fx box (e.g., weight / height^2). [Section 3.13]
Set Value to Missing: Click the cell with the erroneous value and press Delete or Backspace. Always keep an original, unedited copy of your data. [Section 1.11]
Weight Data (for Summarised Categorical Data): Data tab > Weights, then define the count variable as the weight variable. [Section 6.7]
Re-order Categorical Variable Levels: In Data > Setup, select the variable, then in the Levels section, click and drag levels or use the arrows to re-order (e.g., to set “Active” as the first level for a group variable). This is crucial for correct calculation of relative risks and odds ratios. [Section 6.8]

Continuous data:
- Analyses > Exploration > Descriptives. Move variable(s) to Variables box. [Section 1.9]
- Interquartile Range (IQR): In Statistics section, tick Percentiles. [Section 1.10]
- Standard Error of Mean and Confidence Interval for Mean: In Statistics section, tick Std. error of Mean and Confidence interval for Mean. [Section 3.16]
- Summarise by Another Variable: Move grouping variable to Split by box. [Section 3.14]
Categorical data:
- One-way Frequency Table: Analyses > Exploration > Descriptives. Move categorical variable to Variables box. In Statistics section, tick Frequency tables. [Section 2.12]
- Two-way Frequency Table (Cross-tabulation): Analyses > Frequencies > Contingency Tables > Independent Samples. Move variables to Rows and Columns. Request percentages in Cells section (e.g., Row or Column percent). [Section 2.13]
- Working with Summarised Data: Enter summarised data into a new spreadsheet, including a count variable. In Analyses > Frequencies > Independent Samples, move count variable to Counts field. [Section 6.10]

Continuous data:
- Density plot: Analyses > Exploration > Descriptives. Move variable to Variables box. In Plots section, tick Density. [Section 1.10]
- Box plot: Analyses > Exploration > Descriptives. Move variable to Variables box. In Plots section, tick Box plot. [Section 1.10]
- Scatter plot: Analyses > Exploration > Scatterplot. Choose variables for X-Axis and Y-Axis. Add a fitted line by ticking Linear in the Regression Line section. [Section 8.9]
Categorical data (Bar Charts):
- One Categorical Variable: Analyses > Exploration > Descriptives. Move variable to Variables box. In Plots section, tick Bar plot. [Section 2.14]
- Two Categorical Variables (Contingency Tables command): [Section 2.15]
  - Clustered (Side by side): Analyses > Frequencies > Contingency Tables > Independent Samples. Choose Plots > Bar Plot, select Bar Type: Side by side. Adjust X-axis as needed (e.g., columns).
  - Stacked: Choose Bar Type: Stacked.
  - Stacked Relative Frequency: Choose Y-axis: Percentages within column.
- Two Categorical Variables (surveymv module): Modules > surveymv > Survey Plots. Choose Variable to plot and Grouping Variable. Set Type (Stacked bar) and Frequencies (Percentages). [Section 2.15]

jamovi does not have built-in functions to calculate probabilities; external applets are recommended.

Binomial probabilities [Section 2.17]: https://homepage.stat.uiowa.edu/~mbognar/applets/bin.html
Normal probabilities [Section 3.15]: https://homepage.stat.uiowa.edu/~mbognar/applets/normal.html

Mean (Individual data): Analyses > Exploration > Descriptives. Tick Confidence interval for Mean. [Section 3.16]
Mean (Summarised data): Install esci module. esci > Means and Medians > Single Group. Select Analyze summary data tab, enter Mean, Standard deviation, Sample size. Tick Extra details for Standard Error. [Section 3.17]
Proportions: Frequencies > One Sample Proportion Tests > 2 Outcomes | Binomial Test. Define the count variable as the analysis variable (if individual data, use actual categorical variable). Set Test value (for hypothesis testing) and tick Confidence intervals. Note: jamovi uses Clopper-Pearson interval, not Wilson. [Section 6.17]

One-Sample T-test: Analyses > T-Tests > One Sample T-Test. Select dependent variable, enter Test value (hypothesised mean). [Section 4.11]
and Confidence interval for Mean: Analyses > T-Tests > Independent Samples T-Test. Move continuous variable to Dependent variables, grouping variable to Grouping Variable. Tick Welch’s for unequal variances. Request Mean difference and Confidence interval in Additional Statistics. [Section 5.5]
Paired T-test: Analyses > T-Tests > Paired Samples T-Test. Enter paired variables into Paired Variables field. Select Mean difference and Confidence interval in Additional Statistics. [Section 5.7]