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Goldhaber, Dan; Chaplin, Duncan – Center for Education Data & Research, 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: School Effectiveness, Teacher Effectiveness, Achievement Gains, Statistical Bias
Chatriand, Craig M. – ProQuest LLC, 2012
Previous research has shown that participation in programs designed to connect students to campus can increase student success and retention. However, very little of this research has controlled for selections bias. The purpose of this study was to use propensity score matching to control for selection bias while analyzing three campus connection…
Descriptors: Grade Point Average, Academic Achievement, School Holding Power, Student School Relationship
Snyder, Patricia; Lawson, Stephen – 1992
Magnitude of effect measures (MEMs), when adequately understood and correctly used, are important aids for researchers who do not want to rely solely on tests of statistical significance in substantive result interpretation. The MEM tells how much of the dependent variable can be controlled, predicted, or explained by the independent variables.…
Descriptors: Data Interpretation, Effect Size, Estimation (Mathematics), Measurement Techniques
Vasu, Ellen S.; Elmore, Patricia B. – 1975
The effects of the violation of the assumption of normality coupled with the condition of multicollinearity upon the outcome of testing the hypothesis Beta equals zero in the two-predictor regression equation is investigated. A monte carlo approach was utilized in which three differenct distributions were sampled for two sample sizes over…
Descriptors: Correlation, Error of Measurement, Factor Structure, Hypothesis Testing
Marx, Thomas – 1973
When two groups, initially dissimilar, undergo different treatments, can subsequent differences be partitioned in such a way that the difference between the two treatments is unbiased? This is the central problem of this paper, and it is confronted by the examination of two levels of information using a Follow Through Evaluation. The first…
Descriptors: Achievement Tests, Analysis of Covariance, Analysis of Variance, Comparative Analysis

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