Fichas
3 Meta-Analysis re Validity Generalisation
Fichas del conjunto (4)
- 1Meta-analysis - Poor study designArising from subtle differences between tools, sub-factors, contexts; different definitions of same tool across organisations
- 2Meta-analysis - Small Sample SizesDiffering population constituents (re sex, race, ethnicity, experience etc.)
Homogeneity of sample - 3Meta-analysis - Inadequate data usedOnly 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
- 4Meta-analysis - Situational SpecificityVariations 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.
Información
- Descripción
- D842 Fichas sobre 3 Meta-Analysis re Validity Generalisation, creado por mifrrole el 13/04/2013.
- Creado por
- mifrrole
- Visitas
- 45
- Etiquetas
- Valoración