I. Quality assessment
What criteria will be used to assess methodological quality (e. g., minimum sample size? Experimental design quality? Longitudinal design quality – if relevant; measures were all reliable and valid, per-reviewed, etc.)??
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How will quality assessment be performed? (I recommend adding a quality column in your word or excel table and putting the evaluation info there; you can also include a paragraph in your method about using only peer-reviewed articles using reliable measures (alpha = .70 or higher) and will evaluate any design issues if there are questions – unequal groups or not enough men, etc.).
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2.
II. Data extraction (E. g., percentages of people from different genders experiencing depression, diagnosed with depression, displaying signs of depression or a variant of depression; raw depression scores or z-scores for depression-related mental illness; number of significant differences found across genders, et. Tell a good story, but a true and accurate one, with your data).
What are the key data to be extracted?
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How will data extraction be performed, and how will extracted data be presented? (Again, I recommend a table but depending on what you are showing, a graph could be interesting to show different symptoms – oh, an
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