Independent Samples T-Test Tutorial in SPSS

This video will help you in conducting a independent (two sample) t-test in SPSS and interpret its results.
➡️ Watch next:    • Reporting results from independent sa...  


Prerequisites
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🎥 Please don't forget that an a priori sample size calculation is usually required. This is shown here:    • Two sample t-test - calculate require...  

🎥 The assumptions of normal distribution of the test variable per group and equal variances across the two groups will be shown in a separate video (   • Independent samples t-test in SPSS - ...  ).

Content
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The video consists of the following three parts:
1) Testing the assumption of equal variances with an eye-test and the Levene's test.

2) Calculation of the two sample t-test, including the effect size Cohen's d, in case of a significant difference between the means of the two groups.

3) The interpretation of the results, especially the effect size Cohen's d, in case of a significant test result.


📚 Sources:
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📚 Field, A. (2018). Discovering statistics using IBM SPSS statistics. sage.

📚 Grissom, R. J., & Kim, J. J. (2012). Effect sizes for research: Univariate and multivariate applications. Routledge.

📚 Lantz, B. (2013). The large sample size fallacy. Scandinavian journal of caring sciences, 27(2), 487-492.


Basic information on the two sample t-test
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The two sample t-test is a statistical test that is used to determine whether two groups differ significantly from eachother in regard to a test variable.

The p-value of the two sample t-test is the probability that the difference between the the two groups is due to chance. If the p-value is below a certain threshold (usually 0.05), you can reject the null hypothesis and conclude that a significant difference exists.

Alternatively, when failing the requirements of normal distribution and a test variable on interval or ratio level, you can fall back on the sample Mann-Whitney-Wilcoxon-test. If your variances however are not equal, you can use the Welch-t-Test.


⏰ Timestamps:
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0:00 Introduction
0:08 Example
0:16 Requirements
0:36 Two sample t-test (one and two-sided) calculation in SPSS
1:53 Levene's test in SPSS
2:38 Interpreting the results of the two sample-test
3:40 Effect size Cohen's d


If you have any questions or suggestions regarding the two sample t-test in SPSS, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc

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