bibliography.bib

@article{baron1986moderator,
  title={The moderator--mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.},
  author={Baron, Reuben M and Kenny, David A},
  journal={Journal of personality and social psychology},
  volume={51},
  number={6},
  pages={1173},
  year={1986},
  publisher={American Psychological Association}
}

@article{zhao_reconsidering_2010,
	title = {Reconsidering Baron and Kenny: Myths and truths about mediation analysis},
	volume = {37},
	shorttitle = {Reconsidering Baron and Kenny},
	pages = {197--206},
	number = {2},
	journaltitle = {Journal of consumer research},
	author = {Zhao, Xinshu and Lynch Jr, John G. and Chen, Qimei},
	date = {2010},
	file = {ZhaoLynchChen2010.pdf:/Users/ben/Zotero/storage/MVHJA2FT/ZhaoLynchChen2010.pdf:application/pdf}
}

@article{preacher_spss_2004,
	title = {{SPSS} and {SAS} procedures for estimating indirect effects in simple mediation models},
	volume = {36},
	issn = {0743-3808, 1532-5970},
	url = {https://link.springer.com/article/10.3758/BF03206553},
	doi = {10.3758/BF03206553},
	abstract = {Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. A necessary component of mediation is a statistically and practically significant indirect effect. Although mediation hypotheses are frequently explored in psychological research, formal significance tests of indirect effects are rarely conducted. After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide {SPSS} and {SAS} macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and Kenny (1986). We hope that this discussion and the macros will enhance the frequency of formal mediation tests in the psychology literature. Electronic copies of these macros may be downloaded from the Psychonomic Society’s Web archive atwww.psychonomic.org/archive/.},
	pages = {717--731},
	number = {4},
	journaltitle = {Behavior Research Methods, Instruments, \& Computers},
	shortjournal = {Behavior Research Methods, Instruments, \& Computers},
	author = {Preacher, Kristopher J. and Hayes, Andrew F.},
	urldate = {2018-02-23},
	date = {2004-11-01},
	langid = {english},
	file = {Full Text PDF:/Users/ben/Zotero/storage/KAHGKFJX/Preacher and Hayes - 2004 - SPSS and SAS procedures for estimating indirect ef.pdf:application/pdf;Snapshot:/Users/ben/Zotero/storage/BKZVZZAM/BF03206553.html:text/html}
}

@article{gelman_analysis_2005,
  title = {Analysis of variance—why it is more important than ever},
  volume = {33},
  pages = {1--53},
  number = {1},
  journaltitle = {The annals of statistics},
  author = {Gelman, Andrew},
  date = {2005},
  file = {banova7.pdf:/Users/ben/Zotero/storage/XUJ7IGYL/banova7.pdf:application/pdf}
}

@article{peacock_dichotomising_2012,
  title = {Dichotomising continuous data while retaining statistical power using a distributional approach},
  volume = {31},
  issn = {1097-0258},
  url = {http://onlinelibrary.wiley.com/doi/10.1002/sim.5354/abstract},
  doi = {10.1002/sim.5354},
  abstract = {Dichotomisation of continuous data is known to be hugely problematic because information is lost, power is reduced and relationships may be obscured or changed. However, not only are differences in means difficult for clinicians to interpret, but thresholds also occur in many areas of medical practice and cannot be ignored. In recognition of both the problems of dichotomisation and the ways in which it may be useful clinically, we have used a distributional approach to derive a difference in proportions with a 95\% {CI} that retains the precision and the power of the {CI} for the equivalent difference in means. In this way, we propose a dual approach that analyses continuous data using both means and proportions to replace dichotomisation alone and that may be useful in certain situations. We illustrate this work with examples and simulations that show good performance of the parametric approach under standard distributional assumptions from our own research and from the literature. Copyright © 2012 John Wiley \& Sons, Ltd.},
  pages = {3089--3103},
  number = {26},
  journaltitle = {Statistics in Medicine},
  shortjournal = {Statist. Med.},
  author = {Peacock, J.l. and Sauzet, O. and Ewings, S.m. and Kerry, S.m.},
  urldate = {2018-02-20},
  date = {2012-11-20},
  langid = {english},
  keywords = {{CI}, dichotomisation, normal distribution, statistical power}
}

@article{gelman_scaling_2008,
  title = {Scaling regression inputs by dividing by two standard deviations},
  volume = {27},
  issn = {02776715, 10970258},
  url = {http://doi.wiley.com/10.1002/sim.3107},
  doi = {10.1002/sim.3107},
  pages = {2865--2873},
  number = {15},
  journaltitle = {Statistics in Medicine},
  author = {Gelman, Andrew},
  urldate = {2018-02-20},
  date = {2008-07-10},
  langid = {english},
  file = {standardizing7.pdf:/Users/ben/Zotero/storage/Z8HAR5AS/standardizing7.pdf:application/pdf}
}

@article{gelman_splitting_2009,
  title = {Splitting a predictor at the upper quarter or third and the lower quarter or third},
  volume = {63},
  pages = {1--8},
  number = {1},
  journaltitle = {The American Statistician},
  author = {Gelman, Andrew and Park, David K.},
  date = {2009},
  file = {thirds5.pdf:/Users/ben/Zotero/storage/7QZV5WAK/thirds5.pdf:application/pdf},
  url={http://www.stat.columbia.edu/~gelman/research/published/thirds5.pdf}
}

@article{schreiber_reporting_2006,
  title = {Reporting structural equation modeling and confirmatory factor analysis results: A review},
  volume = {99},
  shorttitle = {Reporting structural equation modeling and confirmatory factor analysis results},
  pages = {323--338},
  number = {6},
  journaltitle = {The Journal of educational research},
  author = {Schreiber, James B. and Nora, Amaury and Stage, Frances K. and Barlow, Elizabeth A. and King, Jamie},
  date = {2006},
  file = {7-Reporting_SEM_and_CFA__Schreiber__Stage__King__Nora__Barlow_.pdf:/Users/ben/Zotero/storage/RRS2FQMK/7-Reporting_SEM_and_CFA__Schreiber__Stage__King__Nora__Barlow_.pdf:application/pdf}
}

@inproceedings{matejka2017same,
  title={Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing},
  author={Matejka, Justin and Fitzmaurice, George},
  booktitle={Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems},
  pages={1290--1294},
  year={2017},
  organization={ACM}
}

@article{herndon2014does,
  title={Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff},
  author={Herndon, Thomas and Ash, Michael and Pollin, Robert},
  journal={Cambridge journal of economics},
  volume={38},
  number={2},
  pages={257--279},
  year={2014},
  publisher={Oxford University Press}
}
@article{schreiber2006reporting,
  title={Reporting structural equation modeling and confirmatory factor analysis results: A review},
  author={Schreiber, James B and Nora, Amaury and Stage, Frances K and Barlow, Elizabeth A and King, Jamie},
  journal={The Journal of educational research},
  volume={99},
  number={6},
  pages={323--338},
  year={2006},
  publisher={Taylor \& Francis}
}
@book{beaujean2014latent,
  title={Latent variable modeling using R: A step-by-step guide},
  author={Beaujean, A Alexander},
  year={2014},
  publisher={Routledge},
  url={https://www.scribd.com/document/313328167/STAT-Latent-Variable-Modeling-Using-R-A-Step-by-Step-Guide-2013-RoutLedge-pdf}
}
@article{gelman2005analysis,
  title={Analysis of variance—why it is more important than ever},
  author={Gelman, Andrew and others},
  journal={The annals of statistics},
  volume={33},
  number={1},
  pages={1--53},
  year={2005},
  publisher={Institute of Mathematical Statistics}
}
@book{gelman2014bayesian,
  title={Bayesian data analysis},
  author={Gelman, Andrew and Carlin, John B and Stern, Hal S and Dunson, David B and Vehtari, Aki and Rubin, Donald B},
  volume={2},
  year={2014},
  publisher={CRC press Boca Raton, FL}
}

@article{eager2017mixed,
  title={Mixed Effects Models are Sometimes Terrible},
  author={Eager, Christopher and Roy, Joseph},
  journal={arXiv preprint arXiv:1701.04858},
  year={2017}
}
@article{baayen2008mixed,
  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},
  publisher={Elsevier}
}

@article{tait2010presenting,
  title={Presenting research risks and benefits to parents: does format matter?},
  author={Tait, Alan R and Voepel-Lewis, Terri and Zikmund-Fisher, Brian J and Fagerlin, Angela},
  journal={Anesthesia and analgesia},
  volume={111},
  number={3},
  pages={718},
  year={2010},
  publisher={NIH Public Access}
}
@article{gigerenzer2003simple,
  title={Simple tools for understanding risks: from innumeracy to insight},
  author={Gigerenzer, Gerd and Edwards, Adrian},
  journal={BMJ: British Medical Journal},
  volume={327},
  number={7417},
  pages={741},
  year={2003},
  publisher={BMJ Publishing Group}
}

@article{zhang2015missing,
  title={Missing data exploration: highlighting graphical presentation of missing pattern},
  author={Zhang, Zhongheng},
  journal={Annals of translational medicine},
  volume={3},
  number={22},
  year={2015},
  publisher={AME Publications},
  url={https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701517/}
}
@article{edward2001visual,
  title={The visual display of quantitative information},
  author={Edward, Tufte},
  journal={Graphics Press, Cheshire, USA,},
  volume={4},
  number={5},
  pages={6},
  year={2001}
}
@book{grolemund2014hands,
  title={Hands-On Programming with R: Write Your Own Functions and Simulations},
  author={Grolemund, Garrett},
  year={2014},
  publisher={" O'Reilly Media, Inc."}
}
@misc{mcelreath2016rethinking,
  title={Statistical Rethinking: A Bayesian Course With Examples in R and Stan},
  author={McElreath, R},
  year={2016},
  publisher={CRC Press}
}

@article{fragoso2015bayesian,
  title={Bayesian model averaging: A systematic review and conceptual classification},
  author={Fragoso, Tiago M and Neto, Francisco Louzada},
  journal={arXiv preprint arXiv:1509.08864},
  year={2015}
}

@article{gelman2012we,
  title={Why we (usually) don't have to worry about multiple comparisons},
  author={Gelman, Andrew and Hill, Jennifer and Yajima, Masanao},
  journal={Journal of Research on Educational Effectiveness},
  volume={5},
  number={2},
  pages={189--211},
  year={2012},
  publisher={Taylor \& Francis},
  url={http://www.stat.columbia.edu/~gelman/research/published/multiple2f.pdf}
}

@article{nichols2003controlling,
  title={Controlling the familywise error rate in functional neuroimaging: a comparative review},
  author={Nichols, Thomas and Hayasaka, Satoru},
  journal={Statistical methods in medical research},
  volume={12},
  number={5},
  pages={419--446},
  year={2003},
  publisher={Sage Publications Sage CA: Thousand Oaks, CA}
}

@article{feise2002multiple,
  title={Do multiple outcome measures require p-value adjustment?},
  author={Feise, Ronald J},
  journal={BMC medical research methodology},
  volume={2},
  number={1},
  pages={8},
  year={2002},
  publisher={BioMed Central}
}
@book{howell2012statistical,
  title={Statistical methods for psychology},
  author={Howell, David C},
  year={2012},
  publisher={Cengage Learning}
}

@book{howell2016fundamental,
  title={Fundamental Statistics for the Behavioral Sciences},
  author={Howell, David C},
  year={2016},
  publisher={Cengage Learning}
}
@article{baguley2009standardized,
  title={Standardized or simple effect size: What should be reported?},
  author={Baguley, Thom},
  journal={British Journal of Psychology},
  volume={100},
  number={3},
  pages={603--617},
  year={2009},
  publisher={Wiley Online Library},
  url={http://onlinelibrary.wiley.com/doi/10.1348/000712608X377117/abstract}
}

@article{bakeman2005recommended,
  title={Recommended effect size statistics for repeated measures designs},
  author={Bakeman, Roger},
  journal={Behavior research methods},
  volume={37},
  number={3},
  pages={379--384},
  year={2005},
  publisher={Springer}
}
@article{ruxton2006unequal,
  title={The unequal variance t-test is an underused alternative to Student's t-test and the Mann--Whitney U test},
  author={Ruxton, Graeme D},
  journal={Behavioral Ecology},
  volume={17},
  number={4},
  pages={688--690},
  year={2006},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/beheco/ark016}
}
@article{barr2013random,
  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},
  publisher={Elsevier},
  url={http://talklab.psy.gla.ac.uk/KeepItMaximalR2.pdf}
}
@article{gelman2008scaling,
  title={Scaling regression inputs by dividing by two standard deviations},
  author={Gelman, Andrew},
  journal={Statistics in medicine},
  volume={27},
  number={15},
  pages={2865--2873},
  year={2008},
  publisher={Wiley Online Library},
  url={http://www.stat.columbia.edu/~gelman/research/published/standardizing7.pdf}
}

@inproceedings{venables1998exegeses,
  title={Exegeses on linear models},
  author={Venables, WN},
  booktitle={S-Plus User’s Conference, Washington DC},
  year={1998},
  url = {http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.pdf}
}
@article{newman2012bar,
  title={Bar graphs depicting averages are perceptually misinterpreted: The within-the-bar bias},
  author={Newman, George E and Scholl, Brian J},
  journal={Psychonomic bulletin \& review},
  volume={19},
  number={4},
  pages={601--607},
  year={2012},
  publisher={Springer}
}
@article{kockelman2002driver,
  title={Driver injury severity: an application of ordered probit models},
  author={Kockelman, Kara Maria and Kweon, Young-Jun},
  journal={Accident Analysis \& Prevention},
  volume={34},
  number={3},
  pages={313--321},
  year={2002},
  publisher={Elsevier}
}