Скачать или смотреть How to Calculate Sample Size for Independent Samples T-Test in SPSS

In the run-up to an empirical study or data collection for the independent samples t-test (also two samples t-test), the necessary sample size must be determined.

You can either use G*Power (   • Two sample t-test - calculate required sam...  ) or conveniently SPSS - if that is your analysis environment.

The minimum sample size depends on various parameters, you need to specify aforehand:
the assumed effect size (Cohen's d),
the alpha level,
one- or two-sided testing,
the statistical power and
the allocation ratio (ratio of the number of observations for the groups).

The video also includes an overview for different effect sizes and power at the end.


⏰ Timestamps:
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0:00 Introduction
0:12 Select type of power analysis
0:22 Input parameter I: power (1-beta error)
0:51 Input parameter II: Allocation/group size ratio
1:00 Input parameter III: Effect size Cohen's d
1:42 Input parameter IV: One-tailed or two-tailed testing
1:55 Input parameter V: alpha level (alpha error)
2:11 Calculation and overview


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