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The paired samples t-test is used when you have a dependent variable on an interval or ratio scale and want to test for a difference between two measurements for the same or paired individuals. ➡️ Watch next: • Reporting Paired samples t-test - results ... For example: =========== I have a measurement of pushups from 100 individuals before a four week long training. After the training, I will again measure the number of pushups the individuals are able to do. Formulated differently: Does the training lead to an increase in the number of repetitions for the individuals? Video contents: ============= I'll show how to conduct the paired samples t-test and interpret the results using IBM SPSS statistics. Your data needs to be in the wide-format for the analysis to work. This means that ech measurement has to be in a separate variable. In order to keep the video as short as possible, I won't test the requirement of approximately normally distributed residuals, see below for a video on that. The interval or ratio scale of the test variable is pretty obvious and does not need any testing. Testing the assumption of normal distribution for the residuals: =================================================== 🎥 • Paired samples t-Test in SPSS - checking n... Calculating the required sample size: ============================== 🎥 • Paired t-Test - calculate required sample ... 📚 Sources: ========== Grissom, R. J., & Kim, J. J. (2012). Effect sizes for research: Univariate and multivariate applications. Routledge. ⏰ Timestamps: ============== 0:00 Introduction 0:10 Example 0:16 Requirements 0:39 Means for the measurements 1:30 Paired t-test results and interpretation 3:00 Effect size for the paired samples t-test If you have any questions or suggestions regarding paired samples t-Test in SPSS - calculation and interpretation, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H Thank you for your support! ♥