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// Reporting results from paired sample t-test in SPSS // The paired sample t-test in SPSS usually consists of two parts: First, the paired sample t-test itself, which compares the means of the two measurements with eachother. Second, in the case of a significant difference - the effect size Cohen's d or Hedges' correction of d. The reporting is limited to the essentials: t-value including degrees of freedom, p-value and effect size. The latter is also to be classified, optionally with Cohen (1992): A Power Primer, or the respective research field-specific limits. Sample formulation: ================= "The repititions counted before (M = 22.0, SD = 2.51) and after the training (M = 25.2, SD = 1.6) indicate an Improvement in the number of pushups, with t (49) = -8.06; p ◀ .001; d = 1.14, representing a large effect, according to Cohen (1992)." ⏰ Timestamps: ============== 0:00 Introduction and overview 0:09 Overview 0:15 Results of the paired t-test 0:29 Effect size Cohen's d If you have any questions or suggestions regarding the write-up for the paired sample t-test, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H Thank you for your support! ♥