Using BP Study Dataset, conduct an independent samples t test in SPSS with gender as the grouping variable
Section 1: Reporting the t Test Results
Using BP Study Dataset, conduct an independent samples t test in SPSS with gender as the grouping variable (male = 1; female = 2) and HR1 (heart rate) as the outcome variable.
Paste the SPSS output and then report:
The sample size for males ( n1) and sample size for females ( n2).
The means for males ( M1) and females ( M2) on HR1.
The calculated mean difference ( M1 - M2).
The standard deviations for males ( s1) and females ( s2) on HR1.
The Levene test (homogeneity of variance assumption) and interpretation.
t, degrees of freedom, t value, and probability value. State whether or not to reject the null hypothesis. Interpret the results.
Calculate Cohen's d effect size from the SPSS output and interpret it. Specifically, if the homogeneity of variance assumption is met, divide the mean difference ( M1 - M2) by either s1 or s2. Violation of the homogeneity of variance assumption requires calculation of Spooled. Homogeneity assumed:
Cohen's d = ( M1 - M2) ÷ s1 or Cohen's d = ( M1 - M2) ÷ s2
To be comprehensive, report Cohen's d based on a calculation with s1 and a calculation with s2. Round the effect size to two decimal places. Interpret Cohen's d with Table 5.2 of your Warner text.
Hint
Management "One can compute different metrics using SPSS. For instance, to obtain a standard deviation, you need to choose; Analyze The descriptive analysis then Descriptives Specify the variables for standard deviation The result will include a minimum, maximum, standard deviation & a mean. Cohen's d is obtained by calculating the mean difference between your two group variables...
"One can compute different metrics using SPSS. For instance, to obtain a standard deviation, you need to choose;
Analyze
The descriptive analysis then Descriptives
Specify the variables for standard deviation
The result will include a minimum, maximum, standard deviation & a mean.
Cohen's d is obtained by calculating the mean difference between your two group variables, and dividing the end result by the pooled standard deviation. "
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