Supplementary materials to: Multiple Imputation to Balance Unbalanced Designs for Two-Way Analysis of Variance
JR van Ginkel, PM Kroonenberg - 2021 - psycharchives.org
Supplementary materials to: Multiple Imputation to Balance Unbalanced Designs for Two-Way
Analysis of Variance | PsychArchives Leibniz Psychology Logo Contact the PsychArchives …
Analysis of Variance | PsychArchives Leibniz Psychology Logo Contact the PsychArchives …
Supplementary materials to: Much ado about nothing: Multiple imputation to balance unbalanced designs for two-way analysis of variance
JR van Ginkel, PM Kroonenberg - 2020 - psycharchives.org
Table S2. Rejection Rates for Each Effect Under the Null Model, a Small Sample Size, Three
Levels of Factor B, for Different Met Page 1 1 Table S2. Rejection Rates for Each Effect Under …
Levels of Factor B, for Different Met Page 1 1 Table S2. Rejection Rates for Each Effect Under …
THIS ARTICLE HAS BEEN RETRACTED: Much Ado About Nothing: Multiple Imputation to Balance Unbalanced Designs for Two-Way Analysis of Variance
JR van Ginkel, PM Kroonenberg - Methodology, 2020 - meth.psychopen.eu
In earlier literature, multiple imputation was proposed to create balance in unbalanced
designs, as an alternative to Type III sum of squares in two-way ANOVA. In the current …
designs, as an alternative to Type III sum of squares in two-way ANOVA. In the current …
Multiple imputation to balance unbalanced designs for two-way analysis of variance
JR van Ginkel, PM Kroonenberg - Methodology, 2021 - meth.psychopen.eu
A balanced ANOVA design provides an unambiguous interpretation of the F-tests, and has
more power than an unbalanced design. In earlier literature, multiple imputation was …
more power than an unbalanced design. In earlier literature, multiple imputation was …
[PDF][PDF] Benefits of Bayesian Model Selection and Averaging for Mixed-Effects Modeling
DW Heck, F Bockting - 2021 - files.de-1.osf.io
Bayes factors allow researchers to test the effects of experimental manipulations in within-
subjects designs using mixed-effects models. van Doorn et al.(2021) showed that such …
subjects designs using mixed-effects models. van Doorn et al.(2021) showed that such …
Cavalier Use of Inferential Statistics Is a Major Source of False and Irreproducible Scientific Findings. Mathematics 2021, 9, 603
L Hanin - 2021 - search.proquest.com
I uncover previously underappreciated systematic sources of false and irreproducible results
in natural, biomedical and social sciences that are rooted in statistical methodology. They …
in natural, biomedical and social sciences that are rooted in statistical methodology. They …
[图书][B] Handbook of multiple comparisons
Written by experts that include originators of some key ideas, chapters in the Handbook of
Multiple Testing cover multiple comparison problems big and small, with guidance toward …
Multiple Testing cover multiple comparison problems big and small, with guidance toward …
[图书][B] Simultaneous Inference with Application to Dose-Response Study
R Maharjan - 2022 - search.proquest.com
One of the common applications of simultaneous inference problems is in the dose-
response study, where different dosage levels need to be tested simultaneously. Although …
response study, where different dosage levels need to be tested simultaneously. Although …
[PDF][PDF] What works to reduce bias? A multilevel approach
NM Stephens, LA Rivera… - Unpublished …, 2020 - nicolemstephens.com
A rich body of research throughout the social sciences demonstrates that bias--people's
tendency to display group-based preferences--is a major obstacle to increasing …
tendency to display group-based preferences--is a major obstacle to increasing …
Honestdid: Stata module implementing the honestdid r package
MC Bravo, J Roth, A Rambachan - 2022 - econpapers.repec.org
Stata version of the HonestDiD R package, which implements robust inference for difference-
in-differences and event study design methods developed in Rambachan and Roth (2021) …
in-differences and event study design methods developed in Rambachan and Roth (2021) …