PSYCH291 Lecture Notes - Standard Deviation, Psych, Criterion Validity

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23 May 2022
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Both measures need to be valid and reliable (taking into account the components of validity discussed earlier) E. g in a study comparing hours studying and numbers of lectures attended, the results could be skewed by a student claiming they attend no lectures and spend 10 hrs a week studying compared to the typical amount. Adding 1 outlier can skew the r and p values. Remove outliers a certain distance from the mean. E. g. calculate the standard deviation of the data and remove all data >2 standard deviations away from the mean. You retain about 95% of the data while removing outliers. Test that the outlier removal did not differ significantly across conditions. A narrow range of values (for 1 or both values) which restricts the size of the correlation. E. g. in a college gpa vs sat score study, if a uni only accepts people with a.

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