Independent Samples t-test Jamovi Tutorial

In this tutorial, we’ll cover how to run an Independent Samples t-Test in Jamovi. You’ll learn when this test is appropriate, how to check the assumptions, and how to interpret the output. I’ll walk you through each step, including how to report the mean difference, confidence intervals, and effect size. By the end, you’ll be able to confidently compare two independent groups and explain your findings clearly. Download the dataset to follow along! Link: https://drive.google.com/file/d/1L6617O4_QSObhNvE_Hh1Gy2DJff3pS7f/view?usp=sharing If you found this video helpful, please subscribe to my channel for more statistics tutorials, tips, and walkthroughs. I post regular videos to make statistics easier and more approachable, and you can also visit my website (ajoytoteach.com) for additional resources. Have a question or a topic you’d like me to cover? Ask it in the comments! I’m always happy to help. Timestamps: 0:00 – Welcome & Overview 0:37 – Example Research Question (Heart Rate: Pop Quiz vs. Classroom Assignment) 1:28 – Defining Dependent & Independent Variables 2:02 – Assumptions of an Independent Samples t-Test 2:45 – Assumption: Independence 2:48 – Assumption: Normality (Shapiro–Wilk Test) 3:54 – Assumption: Homogeneity of Variance (Levene’s Test) 4:41 – Running the Analysis in Jamovi 5:52 – Checking Assumption Results 7:15 – What to Do if Assumptions Are Violated (Robustness, Welch’s t, Non-Parametric Alternative) 7:17 – Running the Full Analysis (Options & Output) 7:42 – Interpreting the t Statistic & p-value 8:32 – Mean Difference & Confidence Intervals 10:05 – Effect Size (Cohen’s d) 11:00 – Descriptive Statistics (Group Means) 11:39 – Practical Interpretation (Pop Quiz vs. Classroom Group Differences) 11:42 – Summary & Key Takeaways 12:01 – Closing & How to Reach Me