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Norms & standardization (Gregory (Selecting a norm group (Random…
Norms & standardization
Gregory
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Norms: comparative frame of reference for interpreting scores
- Norm group: sample of subjects representative for the population for whom the test is intended
Selecting a norm group
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Stratified random sampling: classifying the target population on variables such as age, gender, race
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age norms: as we grow older, we change measurably
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Van Breukelen
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Traditional norming
- Test norms obtained by splitting large representative sample into subgroups (age or gender)
- compute summary statistics (sd, mean etc.)
- raw test scores can be converted into z-scores, percentile ranks etc.
- CON: assumes we know which person variables are predicitive of the test score + relevant to derive valid norms; splitting the sample involves loss of information -> change trends in norm tables
STUDY
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METHOD: multiple regression analysis -> full model was reduced stepwise by eliminating least significant predictor
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