Reporting results from one sample t-test in SPSS

// Reporting results from one sample t-test in SPSS //
The one sample t-test in SPSS usually consists of three parts:
First, descriptive statistics of the test variable.
Second, the one sample t-test itself, which compares your sample mean and a hypothesized mean (i.e. population mean).
Third, the effect size Cohen's d and 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:
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"The average height of the sample (M = 171.55, SD = 13.3) is not different from the population mean of 175 with t(50)=-1.85 p = .07, d=0.26, representing a small effect, according to Cohen (1992)."
Please note: despite the difference not being "significant", I added the effect size reporting for demonstration purposes. Some research fields report the effect size regardless of a small enough p value.
⏰ Timestamps:
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0:00 Introduction and overview
0:14 One sample t-test results
0:31 Effect size Cohen's d
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