The Nonequivalent Groups Design The Basic Design N N O O X O O Key Feature: Nonequivalent assignment What Does Nonequivalent Mean? Assignment is nonrandom. Researcher didn’t control assignment. Groups may be different. Group differences may affect outcomes. Internal Validity History Maturation Testing Instrumentation Regression to the mean Selection Mortality Diffusion or imitation Compensatory equalization Compensatory rivalry Resentful demoralization N O X O N O O Internal Validity Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality N O X O N O O The Bivariate Distribution 90 80 Posttest 70 60 50 40 30 30 40 50 Pretest 60 70 80 The Bivariate Distribution 90 80 Posttest 70 60 50 40 30 30 40 Program 60 Group 70 has 80 a pretest5-point pretest advantage. 50 The Bivariate Distribution 90 80 Posttest 70 Program group scores 15-points higher on Posttest. 60 50 40 30 30 40 Program group has 60 70 80 a pretest5-point pretest advantage, 50 Graph of Means 80 75 70 65 60 55 50 45 40 35 30 Comparison Program Pretest Comp Prog ALL pretest MEAN 49.991 54.513 52.252 Posttest posttest MEAN 50.008 64.121 57.064 pretest STD DEV 6.985 7.037 7.360 posttest STD DEV 7.549 7.381 10.272 Possible Outcome #1 70 65 60 Comparison Program 55 50 45 40 Pretest Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality Posttest (CG not growing) (PG moving away, CG level) More low-score PG dropouts Possible Outcome #2 70 65 60 Comparison Program 55 50 45 40 Pretest Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality Posttest (Both growing) (Wrong direction) More low-score dropouts Possible Outcome #3 70 65 60 Comparison Program 55 50 45 40 Pretest Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality Posttest (In PG only) (In PG) More high-score PG dropouts not as likely Possible Outcome #4 70 65 60 Comparison Program 55 50 45 40 Pretest Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality Posttest (In PG only) (In PG) More low-score PG dropouts Possible Outcome #5 70 65 60 Comparison Program 55 50 45 40 Pretest Selection-history Selection-maturation Selection-testing Selection-instrumentation Selection-regression Selection-mortality Posttest
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