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Martina Sladekova
Martina Sladekova
Doctoral Researcher & Lecturer in Psychological Research Methods, University of Sussex
在 sussex.ac.uk 的电子邮件经过验证 - 首页
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引用次数
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Teaching open and reproducible scholarship: a critical review of the evidence base for current pedagogical methods and their outcomes
M Pownall, F Azevedo, LM König, HR Slack, TR Evans, Z Flack, ...
Royal Society Open Science 10 (5), 221255, 2023
262023
Meta-analyses in psychology often overestimate evidence for and size of effects
F Bartoš, M Maier, DR Shanks, TD Stanley, M Sladekova, ...
Royal Society Open Science 10 (7), 230224, 2023
192023
Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics
F Bartoš, M Maier, EJ Wagenmakers, F Nippold, H Doucouliagos, ...
Research Synthesis Methods 15 (3), 500-511, 2024
182024
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.
M Sladekova, LEA Webb, AP Field
Psychological Methods, 2022
122022
The impact of open and reproducible scholarship on students’ scientific literacy, engagement, and attitudes towards science: a review and synthesis of the evidence
M Pownall, F Azevedo, LM König, HR Slack, T Evans, Z Flack, S Grinschgl, ...
82022
In search of unicorns: Assessing statistical assumptions in real psychology datasets
M Sladekova, AP Field
OSF, 2024
52024
Psychology researchers’ self-reported knowledge of sources of bias in general linear models and how it affects their analytic practice
M Sladekova, AP Field
OSF, 2024
42024
Commonly used statistical models in psychology are not equipped to deal with real-world conditions: A simulation study
M Sladekova, AP Field
42024
Sources of bias in general linear models: Evaluating the analytic practice in psychological research
M Sladekova, VL Poupa, AP Field
OSF, 2024
32024
Robust statistical methods and the credibility movement of psychological science
M Sladekova, AP Field
OSF, 2024
32024
Comparing body composition between the sweet-liking phenotypes: experimental data, systematic review and individual participant data meta-analysis
RM Armitage, V Iatridi, M Sladekova, MR Yeomans
International Journal of Obesity 48 (6), 764-777, 2024
32024
Quantifying heteroscedasticity in linear models using quantile LOWESS intervals
M Sladekova, AP Field
OSF, 2024
22024
Commonly Used Statistical Models in Psychology are Not Equipped to Deal with Real-World Conditions: A Simulation
M Sladekova, AP Field
2024
UK Psychology PhD researchers’ knowledge, perceptions, and experiences of open science
M Pownall, J Terry, E Collins, M Sladekova, A Jones
Cogent Psychology 10 (1), 2248765, 2023
2023
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