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An independent-samples t-test compares the means between two unrelated groups, such as comparing the difference between class A and class B, another very common example would be used to compare a binary gender difference.

If you have three or more groups consider using a **One-Way Between-Subjects ANOVA**

An independent-samples t-test is considered a parametric test and is only suitable for parametric data. To check if your data is parametric, please read our dedicated guide: **Parametric or Not Guide (PDF)**

If your data is non-parametric you could consider using a **Mann-Whitney U-Test**.

1. To carry out an independent t-test, you'll need to identify two columns of data to use. One with for the data independent (or grouping) variable, and another for the dependent (or test) data.

2. Select the "T-Tests" option, drop down the menu and select "Independent Samples T-Test":

3. The Independent Samples T-Tests options will open. Using the arrow button, move the dependent variable across to the "Dependent Variables" box and the independent variable into the "Grouping Variable" box. Look though the options on this view for additional information you may want, here we have selected the addition of "Descriptives" to get the minimal data for the write up. Your results will appear to the right of the options box, and will update as you tick or untick options.

Jamovi produces the results as you add variables and tick options. If you have results that you don't need or find you have not selected all that you want, you can come back to the menu at any point to change your selection. For this t-test, the results are given in two tables; an "Independent Samples T-Test" table and a "Group Descriptives" table, these are produced in APA style formatting.

This table shows a selection of descriptive statistics: the sample size of each group (N), the mean of each group (Mean), the median of each group (Median), the standard deviation of each group (SD) and the standard error (SE). Typically the N, Mean and SD or SE are reported.

This table shows the specific test results including the t-statistic (Statistic), the degrees of freedom (df), the p-value (p), the difference between the group means (Mean difference) and the 95% Confidence Intervals (95% Confidence Interval, lower and upper).

Here is an example of how this could be reported, with the numbers in APA format:

English scores of class A and class B students were compared. On average, class A students (*M *= 6.25, *SD* = 1.65) scored higher than class B students (*M* = 4.63, *SD *= 2.16). An independent-samples t-test indicated the mean difference of 1.63, 95%*CI* [0.24, 3.01], was a statistically significant difference, *t *(30) = 2.39, *p *=.023.

- Last Updated: May 17, 2024 3:07 PM
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