This article provides two illustrations of some of the factors that can influence findings from pre- and post-test research designs in evaluation studies, including regression to the mean (RTM), maturation, history and test effects. The first illustration involves a re-analysis of data from a st...
Ways to improve two written assessments for advanced English learners were developed through teacher research and tested with a pretest/posttest design. ... MA Siegel - 《Journal of Research in Science Teaching》 被引量: 41发表: 2010年 Explanatory item response modeling of children's change on ...
摘要: Comments on the comparative analytic methods used in pretest-posttest research designs. Analysis of covariance on the posttest score using pretest as covariate; Effects of regression on mean score; Hypothesis on pretest-posttest experiments....
While pretests help educators tailor curriculum on the front-end, posttests help educators see where changes need to be made to improve students’ ability to comprehend and retain the material in the future. And comparing pre- and posttest scores lets educators drill down into specific areas of...
Both experimental and groups completed a pre- and post-test with MBL being the independent variable. The mean difference score for the experimental group was compared to that of the control group using an independent-measures test and an analysis of variance. For the second research question, ...
Yes, this is a valid option. It is the approach that I used in a research paper I wrote a couple of years ago. Charles Reply Jasmin June 24, 2023 at 2:19 pm Thank you. Another option I have is to do a post-test only true experimental design in which the same concept is used,...
Analysis of Pretest-Posttest Designs Discusses two approaches to data analysis in pretest-posttest research designs in which researcher has not formed groups based on pretest or used pretest i... WD Schafer - 《Measurement & Evaluation in Counseling & Development》 被引量: 175发表: 1992年 ...
Next, we check whether the change implemented in the treatment is reflected in the metrics. For each hypothesis, there are expected metric movements that we should see in the test results. If the treatment adds or removes an element of the product (e.g. a n...
A growing concern here is the potential of a measurement effect that research itself may have on behaviour, which can be mitigated through the use of a control group [13]. Thus, this review turns to studies using this approach to determine the ways in which interventions to reduce consumer ...
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