Add to ORKGA Monte Carlo study was used to evaluate the effects of reductions in posttest variance on several methods for detecting predictors of change in a two-wave design. When the predictor was dichotomous, the analysis of covariance approach was compared to the analysis of variance on difference scores. For a continuous predictor, partial correlations, difference score correlations with the predictor and latent change correlations with the predictor in structural equation growth models were used. When posttest variance decreased (e.g., ceiling effect) difference scores lost power, while the power of regression based methods (analysis of covariance and partial correlations) and structural equation measures of change were unaffected.Social Sciences...
The fact that difference scores tend to be less reliable than the original measurements from which ...
Various forms of the pretest-posttest design are extensively used in Management Information Systems ...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
ANCOVA and regression both exhibit a directional bias when measuring correlates of change. This bias...
Three multivariate methods for measuring change from pretest to posttest are compared with respect t...
This study compares the analysis of covariance (ANCOVA), difference score, and residual change score...
Psychological researchers often investigate differences between groups in the amount of change from ...
The authors propose a method to compare the influence of a treatment on different properties within ...
The pretest-posttest control group design can be analyzed with the posttest as dependent variable an...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
Randomized pretest, posttest, follow-up (RPPF) designs are often used for evaluating the effectivene...
Background and Objective: For inferring a treatment effect from the difference between a treated and...
The pre-post test study with control group is one of the most widely used methods to evaluate clinic...
The fact that difference scores tend to be less reli-able than the original measurements from which ...
The fact that difference scores tend to be less reliable than the original measurements from which ...
Various forms of the pretest-posttest design are extensively used in Management Information Systems ...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
ANCOVA and regression both exhibit a directional bias when measuring correlates of change. This bias...
Three multivariate methods for measuring change from pretest to posttest are compared with respect t...
This study compares the analysis of covariance (ANCOVA), difference score, and residual change score...
Psychological researchers often investigate differences between groups in the amount of change from ...
The authors propose a method to compare the influence of a treatment on different properties within ...
The pretest-posttest control group design can be analyzed with the posttest as dependent variable an...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...
Randomized pretest, posttest, follow-up (RPPF) designs are often used for evaluating the effectivene...
Background and Objective: For inferring a treatment effect from the difference between a treated and...
The pre-post test study with control group is one of the most widely used methods to evaluate clinic...
The fact that difference scores tend to be less reli-able than the original measurements from which ...
The fact that difference scores tend to be less reliable than the original measurements from which ...
Various forms of the pretest-posttest design are extensively used in Management Information Systems ...
In a number of scientific fields, researchers need to assess whether a variable has changed between ...