Contextualizing Statistical Suppression Within Pretest-Posttest Designs

Autor: Farmus, Linda, Weiss, Jonathan A., Tajik-Parvinchi, Diana, Cribbie, Robert A.

Publikováno v: Tutorials in Quantitative Methods for Psychology, Vol 16, Iss 1, Pp 21-32 (2020)

Statistical suppression occurs when adjusting for some third variable enhances or substantially modifies the association between an initial predictor and an outcome. Although many methodologists have discussed this phenomenon, very little work has ex

Externí odkaz: https://doaj.org/article/3e4b6e4c01fb469f8d5030f94dedafbf

Continuous Predictors of Pretest-Posttest Change: Highlighting the Impact of the Regression Artifact

Autor: Linda Farmus, Chantal A. Arpin-Cribbie, Robert A. Cribbie

Publikováno v: Frontiers in Applied Mathematics and Statistics, Vol 4 (2019)

Researchers are often interested in exploring predictors of change, and commonly use a regression based model or a gain score analysis to compare degree of change across groups. Methodologists have cautioned against the use of the regression based mo

Externí odkaz: https://doaj.org/article/eda2ba1389784792a2260ea75c83d0fe

Target parameters and bias in non-causal change-score analyses with measurement errors

Autor: Arvid Sjölander, Erin E. Gabriel, Iuliana Ciocănea-Teodorescu

Publikováno v: Sjölander, A, Gabriel, E E & Ciocănea-Teodorescu, I 2023, ' Target parameters and bias in non-causal change-score analyses with measurement errors ', European Journal of Epidemiology, vol. 38, no. 5, pp. 501-509 . https://doi.org/10.1007/s10654-023-00996-4

In studies where the outcome is a change-score, it is often debated whether or not the analysis should adjust for the baseline score. When the aim is to make causal inference, it has been argued that the two analyses (adjusted vs. unadjusted) target

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a86e3f2577c909a5f61e282c1d23492
https://curis.ku.dk/ws/files/358226675/Fulltext.pdf

Gain Scores, ANCOVA, and Propensity Matching Procedures for Evaluating Treatments in Education

Autor: Daniel B. Wright

Publikováno v: Open Education Studies, Vol 2, Iss 1, Pp 45-65 (2020)

Researchers have several options available to analyze data from interventions when participants have not been randomly allocated into conditions. Among these are the gain score, ANCOVA, and propensity matching procedures. Each of these attempts to ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc10387aae77ad670bee8f9222c52376
https://doi.org/10.1515/edu-2020-0107

Two Statistical Paradoxes in the Interpretation of Group Differences: Illustrated with Medical School Admission and Licensing Data

Autor: Wainer, Howard, Brown, Lisa M.

Publikováno v: The American Statistician, 2004 May 01. 58(2), 117-123.

Externí odkaz: https://www.jstor.org/stable/27643519