[R-meta] Meta-analysis of single group attitude scores
Tommy van Steen
tommyvansteen at yahoo.com
Fri Nov 24 13:26:55 CET 2017
I have a question about my meta-analytic approach in a project that I’m working on.
In this project, we are conducting a meta-analysis of attitudes. The study outcome variable is the mean attitude score on a scale (often a Likert-scale type survey or single item).
I am trying to figure out what the best way is to conduct a meta-analysis based on this type of data as the data comes from single groups and studies vary in the number of answering possibilities on the Likert-scales.
My thought would be to transform the study mean into a z-score by subtracting the neutral score (e.g. ‘3' in a 5-point scale study) from the study mean and divide the outcome by the standard deviation of the study mean. This way, the z-score reflects whether the attitude was positive (f the z-score is positive) or negative (if the z-score is negative), with 0 being neutral. I would then use this z-score as the effect size for my meta-analysis.
Based on this, I have three questions:
1. Is this a sensible option?
2. If so, how should I calculate the study weights? (As z-scores typically have an SD of 1 if I understand correctly.)
3. How would I run the meta-analysis based on these z-scores? (Simply loading the scores as effect sizes in an SMD meta-analysis using the metafor-package seems odd perhaps?)
Thank you very much for your time and thoughts.
With kind regards,
Tommy van Steen
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