45052
| Question | Answer |
| Meta-analysis - Poor study design | Arising from subtle differences between tools, sub-factors, contexts; different definitions of same tool across organisations |
| Meta-analysis - Small Sample Sizes | Differing population constituents (re sex, race, ethnicity, experience etc.) Homogeneity of sample |
| Meta-analysis - Inadequate data used | Only measured against those who passed the test (i.e. not those who failed - restricted data); based on job appraisals, which have own problems of politics |
| Meta-analysis - Situational Specificity | Variations in validities from different settings are interpreted as genuine statistical artefacts, hence under m-a tend to get averaged out. Thus, detail of true differences is lost; Effect of raising mean value, and shrinking the variance. |
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