PSYC 203 Chapter 4: Measurement and Data Analysis

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Confidence in construct validity grows gradually: convergent validity: scores in a test measuring some construct should be related to scores on other tests measuring the same construct, discriminant validity: scores on a test measuring some construct should not be related to scores on another test measuring a different construct, research example 3 construct validity: Frequency distributions tables, histograms, stem&leaf display: normal curve: bulges near top and flattens out along the sides, mean, median & mode are all in exact middle, approx 95% of all scores fall within 2 standard deviations on either side of the mean. Inferential analysis: systematic variance: the result of some identifiable factor, either the variable of interest, or some factor that you"ve failed to control adequately, error variance: nonsystematic variability due to individual differences between subjects, and any number of random, unpredictable effects that might have occurred during the study, ideal outcome = high variability between conditions, low variability within conditions.

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