EDMS 451 Study Guide - Midterm Guide: Standard Error, Type I And Type Ii Errors, Null Hypothesis
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19 Nov 2016
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Testing- the effect of taking a test (or being exposed to an instrument) upon the scores of a later testing. Instrumentation- changes in measurement procedures during a study so scores differ due to a procedural difference than any real difference on the measured trait. Experimental mortality- nonrandom loss of subjects during a study. Statistical regression- the statistical effect whereby a group of subjects selected on the basis of extreme scores will tend to have less extreme scores on average if tested again on the same or another imperfectly measured variable. Internal validity: a study is internally valid to the extent that the differences on the dependent variable can be attributed to the differences of the independent variable to the extent that other explanations can be ruled out/ignored. Selection: group differences on some relevant variable before experimental treatment. Type i error: the null hypothesis is rejected when it is actually true.