Gain Score in Data Analysis

  • Published on

  • View

  • Download

Embed Size (px)


How to use gain score in data analysis


<p>Gain Score ?Measurement IssuesCeiling effect Skewness Reliability issue</p> <p>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</p> <p>scores or removes pretest differences between the treatment and control group)</p> <p>Research Design IssuesExperimental / quasi-experimental design Sample size Standard error Control Extraneous factors</p> <p>Solutions? posttest score, ANCOVA, Repeated Measures</p>