references.bib

@Article{nuijtenPrevalenceStatisticalReporting2016,
  title = {The Prevalence of Statistical Reporting Errors in Psychology (1985\textendash{}2013)},
  volume = {48},
  issn = {1554-3528},
  abstract = {This study documents reporting errors in a sample of over 250,000 p-values reported in eight major psychology journals from 1985 until 2013, using the new R package ``statcheck.'' statcheck retrieved null-hypothesis significance testing (NHST) results from over half of the articles from this period. In line with earlier research, we found that half of all published psychology papers that use NHST contained at least one p-value that was inconsistent with its test statistic and degrees of freedom. One in eight papers contained a grossly inconsistent p-value that may have affected the statistical conclusion. In contrast to earlier findings, we found that the average prevalence of inconsistent p-values has been stable over the years or has declined. The prevalence of gross inconsistencies was higher in p-values reported as significant than in p-values reported as nonsignificant. This could indicate a systematic bias in favor of significant results. Possible solutions for the high prevalence of reporting inconsistencies could be to encourage sharing data, to let co-authors check results in a so-called ``co-pilot model,'' and to use statcheck to flag possible inconsistencies in one's own manuscript or during the review process.},
  language = {en},
  number = {4},
  journal = {Behavior Research Methods},
  doi = {10.3758/s13428-015-0664-2},
  author = {Mich{\a`e}le B. Nuijten and Chris H. J. Hartgerink and Marcel A. L. M. {van Assen} and Sacha Epskamp and Jelte M. Wicherts},
  month = {dec},
  year = {2016},
  keywords = {False positives,NHST,p-values,Publication bias,Questionable research practices,Reporting errors,Significance},
  pages = {1205-1226},
  file = {C:\\Users\\inp099\\Zotero\\storage\\UV7GCALF\\Nuijten et al. - 2016 - The prevalence of statistical reporting errors in .pdf},
}
@Book{tufteVisualDisplayQuantitative2001,
  address = {{Cheshire, Conn}},
  edition = {2nd edition edition},
  title = {The {{Visual Display}} of {{Quantitative Information}}},
  isbn = {978-1-930824-13-3},
  abstract = {The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.},
  language = {English},
  publisher = {{Graphics Press}},
  author = {Edward R. Tufte},
  month = {may},
  year = {2001},
}
@Article{wickhamTidyData2014,
  title = {Tidy {{Data}}},
  volume = {59},
  copyright = {Copyright (c) 2013 Hadley  Wickham},
  issn = {1548-7660},
  language = {en},
  number = {1},
  journal = {Journal of Statistical Software},
  doi = {10.18637/jss.v059.i10},
  author = {Hadley Wickham},
  month = {sep},
  year = {2014},
  pages = {1-23},
  file = {C:\\Users\\inp099\\Zotero\\storage\\6XD37IEN\\Wickham - 2014 - Tidy Data.pdf;C:\\Users\\inp099\\Zotero\\storage\\YZZTXBQV\\v059i10.html},
}
@Article{lilienfeldFiftyPsychologicalPsychiatric2015,
  title = {Fifty Psychological and Psychiatric Terms to Avoid: A List of Inaccurate, Misleading, Misused, Ambiguous, and Logically Confused Words and Phrases},
  volume = {6},
  issn = {1664-1078},
  shorttitle = {Fifty Psychological and Psychiatric Terms to Avoid},
  abstract = {The goal of this article is to promote clear thinking and clear writing among students and teachers of psychological science by curbing terminological misinformation and confusion. To this end, we present a provisional list of 50 commonly used terms in psychology, psychiatry, and allied fields that should be avoided, or at most used sparingly and with explicit caveats. We provide corrective information for students, instructors, and researchers regarding these terms, which we organize for expository purposes into five categories: inaccurate or misleading terms, frequently misused terms, ambiguous terms, oxymorons, and pleonasms. For each term, we (a) explain why it is problematic, (b) delineate one or more examples of its misuse, and (c) when pertinent, offer recommendations for preferable terms. By being more judicious in their use of terminology, psychologists and psychiatrists can foster clearer thinking in their students and the field at large regarding mental phenomena.},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2015.01100},
  author = {Scott O. Lilienfeld and Katheryn C. Sauvign{\a'e} and Steven Jay Lynn and Robin L. Cautin and Robert D. Latzman and Irwin D. Waldman},
  month = {aug},
  year = {2015},
  file = {C:\\Users\\inp099\\Zotero\\storage\\D96PFY5A\\Lilienfeld et al. - 2015 - Fifty psychological and psychiatric terms to avoid.pdf},
  pmid = {26284019},
  pmcid = {PMC4522609},
}
@Book{wickhamGgplot2ElegantGraphics2016,
  address = {{New York, NY}},
  edition = {2nd ed. 2016 edition},
  title = {Ggplot2: {{Elegant Graphics}} for {{Data Analysis}}},
  isbn = {978-3-319-24275-0},
  shorttitle = {Ggplot2},
  abstract = {This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:produce handsome, publication-quality plots with automatic legends created from the plot specificationsuperimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scalesadd customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regressionsave any ggplot2 plot (or part thereof) for later modification or reusecreate custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plotsapproach a graph from a visual perspective, thinking about how each component of the data is represented on the final plotThis book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R).~ ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.},
  language = {English},
  publisher = {{Springer}},
  author = {Hadley Wickham},
  month = {jun},
  year = {2016},
}
@Book{clevelandElementsGraphingData1985,
  address = {{Monterey, Cal}},
  edition = {1st edition},
  title = {The {{Elements}} of {{Graphing Data}}},
  isbn = {978-0-534-03729-1},
  abstract = {--This text refers to an out of print or unavailable edition of this title.},
  language = {English},
  publisher = {{Wadsworth, Inc.}},
  author = {William S. Cleveland},
  month = {aug},
  year = {1985},
}
@Book{associationPublicationManualAmerican2009,
  address = {{Washington, DC}},
  title = {Publication {{Manual}} of the {{American Psychological Association}}, 6th {{Edition}}},
  isbn = {978-1-4338-0561-5},
  abstract = {The {"}Publication Manual{"} is the style manual of choice for writers, editors, students, and educators. Although it is specifically designed to help writers in the behavioral sciences and social sciences, anyone who writes non-fiction prose can benefit from its guidance. The newly-revised Sixth Edition has not only been rewritten. It has also been thoroughly rethought and reorganized, making it the most user-friendly {"}Publication Manual{"} the APA has ever produced. You will be able to find answers to your questions faster than ever before. When you need advice on how to present information, including text, data, and graphics, for publication in any type of format--such as college and university papers, professional journals, presentations for colleagues, and online publication--you will find the advice you're looking for in the {"}Publication Manual.{"}It provides invaluable guidance on all aspects of the writing process, from the ethics of authorship to the word choice that best reduces bias in language.},
  language = {English},
  publisher = {{American Psychological Association}},
  author = {American Psychological Association},
  month = {jul},
  year = {2009},
}