Gain Score in Data Analysis

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How to use gain score in data analysis

Transcript of Gain Score in Data Analysis

Gain Score ?Measurement IssuesCeiling effect Skewness Reliability issue

Statistical IssuesIndependence Sample size Standard error Type II error ( null hypothesis is false but fail to reject) Statistical Power (the probability of correctly rejecting null hypothesis) (increase sample size, increase effect size, increase alpha decrease variance/standard deviation) Equivalent control group or non-equivalent control group Statistical control ANCOVA (adjust the post-test score for the measured pretest

scores or removes pretest differences between the treatment and control group)

Research Design IssuesExperimental / quasi-experimental design Sample size Standard error Control Extraneous factors

Solutions? posttest score, ANCOVA, Repeated Measures

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