In the run-up to an empirical study or data collection for the one sample t-test, the necessary sample size must be determined.
You can either use G*Power ([ Ссылка ]) 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),
- one- or two-sided testing,
- the alpha level and
- the statistical power
The video also includes an overview for different effect sizes and power at the end.
⏰ Timestamps:
==============
0:00 Introduction
0:11 Select type of power analysis
0:20 Input parameter I: power (1-beta error)
0:47 Input parameter II: Effect size Cohen's d
1:27 Input parameter III: One-tailed or two-tailed testing
1:42 Input parameter IV: alpha level (alpha error)
1:58 Calculation and overview
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