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@article{Baayen_Davidson_Bates_2008,
title={Mixed-effects modeling with crossed random effects for subjects and items},
author={Baayen, R Harald and Davidson, Douglas J and Bates, Douglas M},
journal={Journal of memory and language},
volume={59},
number={4},
pages={390--412},
year={2008},
}
@article{Barr_2013,
title={Random effects structure for testing interactions in linear mixed-effects models},
author={Barr, Dale J},
journal={Frontiers in psychology},
volume={4},
pages={328},
year={2013},
publisher={Frontiers}
}
@article{Barr_et_al_2013,
title={Random effects structure for confirmatory hypothesis testing: Keep it maximal},
author={Barr, Dale J and Levy, Roger and Scheepers, Christoph and Tily, Harry J},
journal={Journal of memory and language},
volume={68},
number={3},
pages={255--278},
year={2013}
}
@incollection{Barr_2017,
year={2017},
author={Barr, Dale J},
title={{Generalizing over encounters: Statistical and theoretical considerations}},
booktitle={Oxford Handbook of Psycholinguistics},
publisher={Oxford University Press},
url={https://psyarxiv.com/mcrzu/}
}
@article{Bates_et_al_2015,
title={Fitting linear mixed-effects models using lme4},
author={Bates, DM and Maechler, M and Bolker, BM and Walker, S},
journal={{Journal of Statistical Software}},
volume={67},
pages={1--48},
year={2015}
}
@article{Belenky_et_al_2003,
title={Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: A sleep dose-response study},
author={Belenky, Gregory and Wesensten, Nancy J and Thorne, David R and Thomas, Maria L and Sing, Helen C and Redmond, Daniel P and Russo, Michael B and Balkin, Thomas J},
journal={{Journal of Sleep Research}},
volume={12},
number={1},
pages={1--12},
year={2003}
}
@article{Clark_1973,
title={The language-as-fixed-effect fallacy: A critique of language statistics in psychological research},
author={Clark, Herbert H},
journal={Journal of verbal learning and verbal behavior},
volume={12},
number={4},
pages={335--359},
year={1973},
}
@article{Coleman_1964,
title={Generalizing to a language population},
author={Coleman, Edmund B},
journal={Psychological Reports},
volume={14},
number={1},
pages={219--226},
year={1964},
publisher={SAGE Publications Sage CA: Los Angeles, CA}
}
@article{Debruine_Barr_2020,
title={Understanding mixed effects models through data simulation},
author={DeBruine, Lisa and Barr, Dale J},
journal={{Advances in Methods and Practice in Psychological Science}},
howpublished={in press},
year={2020},
url={https://psyarxiv.com/xp5cy/}
}
@article{Flake_Fried_2020,
author = {Jessica Kay Flake and Eiko I. Fried},
title ={Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them},
journal = {Advances in Methods and Practices in Psychological Science},
volume = {3},
number = {4},
pages = {456-465},
year = {2020},
doi = {10.1177/2515245920952393},
URL = {
https://doi.org/10.1177/2515245920952393
},
eprint = {
https://doi.org/10.1177/2515245920952393
},
abstract = { In this article, we define questionable measurement practices (QMPs) as decisions researchers make that raise doubts about the validity of the measures, and ultimately the validity of study conclusions. Doubts arise for a host of reasons, including a lack of transparency, ignorance, negligence, or misrepresentation of the evidence. We describe the scope of the problem and focus on how transparency is a part of the solution. A lack of measurement transparency makes it impossible to evaluate potential threats to internal, external, statistical-conclusion, and construct validity. We demonstrate that psychology is plagued by a measurement schmeasurement attitude: QMPs are common, hide a stunning source of researcher degrees of freedom, and pose a serious threat to cumulative psychological science, but are largely ignored. We address these challenges by providing a set of questions that researchers and consumers of scientific research can consider to identify and avoid QMPs. Transparent answers to these measurement questions promote rigorous research, allow for thorough evaluations of a study’s inferences, and are necessary for meaningful replication studies. }
}
@article{Hagger_et_al_2016,
author = {M. S. Hagger and N. L. D. Chatzisarantis and H. Alberts and C. O. Anggono and C. Batailler and A. R. Birt and R. Brand and M. J. Brandt and G. Brewer and S. Bruyneel and D. P. Calvillo and W. K. Campbell and P. R. Cannon and M. Carlucci and N. P. Carruth and T. Cheung and A. Crowell and D. T. D. De Ridder and S. Dewitte and M. Elson and J. R. Evans and B. A. Fay and B. M. Fennis and A. Finley and Z. Francis and E. Heise and H. Hoemann and M. Inzlicht and S. L. Koole and L. Koppel and F. Kroese and F. Lange and K. Lau and B. P. Lynch and C. Martijn and H. Merckelbach and N. V. Mills and A. Michirev and A. Miyake and A. E. Mosser and M. Muise and D. Muller and M. Muzi and D. Nalis and R. Nurwanti and H. Otgaar and M. C. Philipp and P. Primoceri and K. Rentzsch and L. Ringos and C. Schlinkert and B. J. Schmeichel and S. F. Schoch and M. Schrama and A. Schütz and A. Stamos and G. Tinghög and J. Ullrich and M. vanDellen and S. Wimbarti and W. Wolff and C. Yusainy and O. Zerhouni and M. Zwienenberg},
title ={A Multilab Preregistered Replication of the Ego-Depletion Effect},
journal = {Perspectives on Psychological Science},
volume = {11},
number = {4},
pages = {546-573},
year = {2016},
doi = {10.1177/1745691616652873},
note ={PMID: 27474142},
URL = {
https://doi.org/10.1177/1745691616652873
},
eprint = {
https://doi.org/10.1177/1745691616652873
}
,
abstract = { Good self-control has been linked to adaptive outcomes such as better health, cohesive personal relationships, success in the workplace and at school, and less susceptibility to crime and addictions. In contrast, self-control failure is linked to maladaptive outcomes. Understanding the mechanisms by which self-control predicts behavior may assist in promoting better regulation and outcomes. A popular approach to understanding self-control is the strength or resource depletion model. Self-control is conceptualized as a limited resource that becomes depleted after a period of exertion resulting in self-control failure. The model has typically been tested using a sequential-task experimental paradigm, in which people completing an initial self-control task have reduced self-control capacity and poorer performance on a subsequent task, a state known as ego depletion. Although a meta-analysis of ego-depletion experiments found a medium-sized effect, subsequent meta-analyses have questioned the size and existence of the effect and identified instances of possible bias. The analyses served as a catalyst for the current Registered Replication Report of the ego-depletion effect. Multiple laboratories (k = 23, total N = 2,141) conducted replications of a standardized ego-depletion protocol based on a sequential-task paradigm by Sripada et al. Meta-analysis of the studies revealed that the size of the ego-depletion effect was small with 95\% confidence intervals (CIs) that encompassed zero (d = 0.04, 95\% CI [−0.07, 0.15]. We discuss implications of the findings for the ego-depletion effect and the resource depletion model of self-control. }
}
@article{Judd_Westfall_Kenny_2012,
title={Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem.},
author={Judd, Charles M and Westfall, Jacob and Kenny, David A},
journal={Journal of personality and social psychology},
volume={103},
pages={54--69},
year={2012},
publisher={American Psychological Association}
}
@article{Lakens_Scheel_Isager_2018,
title={Equivalence testing for psychological research: A tutorial},
author={Lakens, Dani{\"e}l and Scheel, Anne M and Isager, Peder M},
journal={Advances in Methods and Practices in Psychological Science},
volume={1},
pages={259--269},
year={2018},
publisher={Sage Publications Sage CA: Los Angeles, CA},
url={https://journals.sagepub.com/doi/abs/10.1177/2515245918770963}
}
@article{Luke_2017,
title={Evaluating significance in linear mixed-effects models in R},
author={Luke, Steven G},
journal={{Behavior Research Methods}},
volume={49},
pages={1494--1502},
year={2017},
}
@article{Matuschek_et_al_2017,
title={{Balancing Type I error and power in linear mixed models}},
author={Matuschek, Hannes and Kliegl, Reinhold and Vasishth, Shravan and Baayen, Harald and Bates, Douglas},
journal={{Journal of Memory and Language}},
volume={94},
pages={305--315},
year={2017}
}
@book{McElreath_2020,
title = {{Statistical Rethinking: A Bayesian course with examples in R and STAN}},
author = {Richard McElreath},
publisher = {CRC Press},
year = {2020}
}
@article{Oberauer_Lewandowsky_2019,
title={Addressing the theory crisis in psychology},
author={Oberauer, Klaus and Lewandowsky, Stephan},
journal={Psychonomic bulletin \& review},
volume={26},
number={5},
pages={1596--1618},
year={2019},
publisher={Springer}
}
@article{Open-Science-Collaboration_2015,
title={Estimating the reproducibility of psychological science},
author={Open Science Collaboration},
journal={Science},
volume={349},
number={6251},
year={2015},
publisher={American Association for the Advancement of Science}
}
@article{Pashler_Wagenmakers_2012,
author = {Harold Pashler and Eric–Jan Wagenmakers},
title ={Editors’ Introduction to the Special Section on Replicability in Psychological Science: A Crisis of Confidence?},
journal = {Perspectives on Psychological Science},
volume = {7},
number = {6},
pages = {528-530},
year = {2012},
doi = {10.1177/1745691612465253},
note ={PMID: 26168108},
URL = {
https://doi.org/10.1177/1745691612465253
},
eprint = {
https://doi.org/10.1177/1745691612465253
}
}
@article{Ranehill_et_al_2015,
author = {Eva Ranehill and Anna Dreber and Magnus Johannesson and Susanne Leiberg and Sunhae Sul and Roberto A. Weber},
title ={Assessing the Robustness of Power Posing: No Effect on Hormones and Risk Tolerance in a Large Sample of Men and Women},
journal = {Psychological Science},
volume = {26},
number = {5},
pages = {653-656},
year = {2015},
doi = {10.1177/0956797614553946},
note ={PMID: 25810452},
URL = {
https://doi.org/10.1177/0956797614553946
},
eprint = {
https://doi.org/10.1177/0956797614553946
}
}
@article{Wagenmakers_et_al_2016,
author = {E.-J. Wagenmakers and T. Beek and L. Dijkhoff and Q. F. Gronau and A. Acosta and R. B. Adams, Jr. and D. N. Albohn and E. S. Allard and S. D. Benning and E.-M. Blouin-Hudon and L. C. Bulnes and T. L. Caldwell and R. J. Calin-Jageman and C. A. Capaldi and N. S. Carfagno and K. T. Chasten and A. Cleeremans and L. Connell and J. M. DeCicco and K. Dijkstra and A. H. Fischer and F. Foroni and U. Hess and K. J. Holmes and J. L. H. Jones and O. Klein and C. Koch and S. Korb and P. Lewinski and J. D. Liao and S. Lund and J. Lupianez and D. Lynott and C. N. Nance and S. Oosterwijk and A. A. Ozdoğru and A. P. Pacheco-Unguetti and B. Pearson and C. Powis and S. Riding and T.-A. Roberts and R. I. Rumiati and M. Senden and N. B. Shea-Shumsky and K. Sobocko and J. A. Soto and T. G. Steiner and J. M. Talarico and Z. M. van Allen and M. Vandekerckhove and B. Wainwright and J. F. Wayand and R. Zeelenberg and E. E. Zetzer and R. A. Zwaan},
title ={Registered Replication Report: Strack, Martin, \& Stepper (1988)},
journal = {Perspectives on Psychological Science},
volume = {11},
number = {6},
pages = {917-928},
year = {2016},
doi = {10.1177/1745691616674458},
note ={PMID: 27784749},
URL = {
https://doi.org/10.1177/1745691616674458
},
eprint = {
https://doi.org/10.1177/1745691616674458
}
,
abstract = { According to the facial feedback hypothesis, people’s affective responses can be influenced by their own facial expression (e.g., smiling, pouting), even when their expression did not result from their emotional experiences. For example, Strack, Martin, and Stepper (1988) instructed participants to rate the funniness of cartoons using a pen that they held in their mouth. In line with the facial feedback hypothesis, when participants held the pen with their teeth (inducing a “smile”), they rated the cartoons as funnier than when they held the pen with their lips (inducing a “pout”). This seminal study of the facial feedback hypothesis has not been replicated directly. This Registered Replication Report describes the results of 17 independent direct replications of Study 1 from Strack et al. (1988), all of which followed the same vetted protocol. A meta-analysis of these studies examined the difference in funniness ratings between the “smile” and “pout” conditions. The original Strack et al. (1988) study reported a rating difference of 0.82 units on a 10-point Likert scale. Our meta-analysis revealed a rating difference of 0.03 units with a 95\% confidence interval ranging from −0.11 to 0.16. }
}
@article{Vanhove_2021,
title={Collinearity isn't a disease that needs curing},
author={Vanhove, Jan},
journal={Meta-Psychology},
volume={5},
year={2021}
}
@article{yarkoni_2019,
title={The generalizability crisis},
author={Yarkoni, Tal},
publisher={PsyArXiv},
year={2019},
url={https://doi.org/10.31234/osf.io/jqw35}
}
@Book{xie2015,
title = {Dynamic Documents with {R} and knitr},
author = {Yihui Xie},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, Florida},
year = {2015},
edition = {2nd},
note = {ISBN 978-1498716963},
url = {http://yihui.name/knitr/},
}
@Manual{rmarkdown,
title = {rmarkdown: Dynamic Documents for R},
author = {JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang},
year = {2018},
note = {R package version 1.10},
url = {https://CRAN.R-project.org/package=rmarkdown},
}
@Manual{tidyverse,
title = {tidyverse: Easily Install and Load the 'Tidyverse'},
author = {Hadley Wickham},
year = {2017},
note = {R package version 1.2.1},
url = {https://CRAN.R-project.org/package=tidyverse},
}