The pretest-posttest control group design can be analyzed with the posttest as dependent variable and the pretest as covariate (ANCOVA) or with the difference between posttest and pretest as dependent variable (CHANGE). These 2 methods can give contradictory results if groups differ at pretest, a phenomenon that is known as Lord's paradox. Literature claims that ANCOVA is preferable if treatment assignment is based on randomization or on the pretest and questionable for preexisting groups. Some literature suggests that Lord's paradox has to do with measurement error in the pretest. This article shows two new things: First, the claims are confirmed by proving the mathematical equivalence of ANCOVA to a repeated measures model without group e...
Analysis of covariance (ANCOVA) is a data analysis method that is often used to control extraneous s...
Covariate adjustment in the randomized trial context refers to an estimator of the average treatme...
Koch et al. recently (1998) proposed two covariate-adjusted approaches for the comparison of continu...
The pretest-posttest control group design can be analyzed with the posttest as dependent variable an...
Background and Objective: For inferring a treatment effect from the difference between a treated and...
Repeated measures (RM) and ANCOVA models are compared with respect to treatment effect estimation in...
A Monte Carlo study was used to evaluate the effects of reductions in posttest variance on several m...
Despite numerous technical treatments in many venues, analysis of covariance (ANCOVA) remains a wide...
Psychological researchers often investigate differences between groups in the amount of change from ...
ANCOVA and regression both exhibit a directional bias when measuring correlates of change. This bias...
The pre-post test study with control group is one of the most widely used methods to evaluate clinic...
This study compares the analysis of covariance (ANCOVA), difference score, and residual change score...
The fact that difference scores tend to be less reliable than the original measurements from which ...
Whether one should use an analysis of covariance or a form of difference score test (difference as a...
The fact that difference scores tend to be less reli-able than the original measurements from which ...
Analysis of covariance (ANCOVA) is a data analysis method that is often used to control extraneous s...
Covariate adjustment in the randomized trial context refers to an estimator of the average treatme...
Koch et al. recently (1998) proposed two covariate-adjusted approaches for the comparison of continu...
The pretest-posttest control group design can be analyzed with the posttest as dependent variable an...
Background and Objective: For inferring a treatment effect from the difference between a treated and...
Repeated measures (RM) and ANCOVA models are compared with respect to treatment effect estimation in...
A Monte Carlo study was used to evaluate the effects of reductions in posttest variance on several m...
Despite numerous technical treatments in many venues, analysis of covariance (ANCOVA) remains a wide...
Psychological researchers often investigate differences between groups in the amount of change from ...
ANCOVA and regression both exhibit a directional bias when measuring correlates of change. This bias...
The pre-post test study with control group is one of the most widely used methods to evaluate clinic...
This study compares the analysis of covariance (ANCOVA), difference score, and residual change score...
The fact that difference scores tend to be less reliable than the original measurements from which ...
Whether one should use an analysis of covariance or a form of difference score test (difference as a...
The fact that difference scores tend to be less reli-able than the original measurements from which ...
Analysis of covariance (ANCOVA) is a data analysis method that is often used to control extraneous s...
Covariate adjustment in the randomized trial context refers to an estimator of the average treatme...
Koch et al. recently (1998) proposed two covariate-adjusted approaches for the comparison of continu...