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This may be worked out using the routine of Smithson which is located in the demo file in the power talk at [:StatsCourse2009:Graduate Statistics Courses 2009.] Alternatively the average group sd is equal to the ''square root'' of the ''Mean Square Error'' outputted using the ONEWAY procedure in SPSS and dividing this into the difference in the two means which can be obtained using the means procedure. For example for comparing the two age 'pr' group means we can run the below | This may be worked out using the routine of Smithson which is located in the demo file in the power talk given as part of the [:StatsCourse2009:Graduate Statistics Courses 2009.] Alternatively the average group sd is equal to the ''square root'' of the ''Mean Square Error'' outputted using the ONEWAY procedure in SPSS and dividing this into the difference in the two means which can be obtained using the means procedure. For example for comparing the two age 'pr' group means we can run the below |
How do I compute Cohen's d in SPSS?
Cohen's d represents the difference between a pair of group means expressed in terms of the average group standard deviation.
Cohen's d = $$\frac{\mbox{difference in group means}}{\mbox{average group sd}} $$
This may be worked out using the routine of Smithson which is located in the demo file in the power talk given as part of the [:StatsCourse2009:Graduate Statistics Courses 2009.] Alternatively the average group sd is equal to the square root of the Mean Square Error outputted using the ONEWAY procedure in SPSS and dividing this into the difference in the two means which can be obtained using the means procedure. For example for comparing the two age 'pr' group means we can run the below
ONEWAY age BY pr /MISSING ANALYSIS. MEANS TABLES=age BY pr /CELLS MEAN COUNT STDDEV .
You can alternatively use SPSS Output Management Syntax (OMS) as shown [:FAQ/omscd:here] to compute Cohen's d which converts the tabular output in SPSS procedures into data files which may then be manipulated to give statistics of interest.