references.bib

@article{Duque.etal.2020,
  title = {The Role of Mesotocin on Social Bonding in Pinyon Jays},
  author = {Duque, Juan F. and Rasmussen, Tanner and Rodriguez, Anna and Stevens, Jeffrey R.},
  year = {2020},
  journal = {Ethology},
  volume = {126},
  number = {2},
  pages = {165--175},
  issn = {1439-0310},
  doi = {10.1111/eth.12990},
  abstract = {The neuropeptide oxytocin influences mammalian social bonding by facilitating the building and maintenance of parental, sexual, and same-sex social relationships. However, we do not know whether the function of the avian homologue mesotocin is evolutionarily conserved across birds. While it does influence avian prosocial behavior, mesotocin's role in avian social bonding remains unclear. Here, we investigated whether mesotocin regulates the formation and maintenance of same-sex social bonding in pinyon jays (Gymnorhinus cyanocephalus), a member of the crow family. We formed squads of four individually housed birds. In the first, ``pair-formation'' phase of the experiment, we repeatedly placed pairs of birds from within the squad together in a cage for short periods of time. Prior to entering the cage, we intranasally administered one of three hormone solutions to both members of the pair: mesotocin, oxytocin antagonist, or saline. Pairs received repeated sessions with administration of the same hormone. In the second, ``pair-maintenance'' phase of the experiment, all four members of the squad were placed together in a large cage, and no hormones were administered. For both phases, we measured the physical proximity between pairs as our proxy for social bonding. We found that, compared with saline, administering mesotocin or oxytocin antagonist did not result in different proximities in either the pair-formation or pair-maintenance phase of the experiment. Therefore, at the dosages and time frames used here, exogenously introduced mesotocin did not influence same-sex social bond formation or maintenance. Like oxytocin in mammals, mesotocin regulates avian prosocial behavior; however, unlike oxytocin, we do not have evidence that mesotocin regulates social bonds in birds.},
  copyright = {\textcopyright{} 2019 Blackwell Verlag GmbH},
  langid = {english},
  keywords = {corvid,mesotocin,oxytocin,pinyon jay,social bond},
  file = {/home/jstevens/zotero-library/Duque et al/duque_et_al_2020_the_role_of_mesotocin_on_social_bonding_in_pinyon_jays.pdf}
}

@article{Goh.etal.2020,
  title = {Pro Tip: {{Screen-based}} Payment Methods Increase Negative Feelings in Consumers but Do Not Increase Tip Sizes},
  shorttitle = {Pro Tip},
  author = {Goh, Francine and Jungck, Alexandria and Stevens, Jeffrey R.},
  year = {2020},
  month = apr,
  journal = {PsyArXiv},
  publisher = {{PsyArXiv}},
  doi = {10.31234/osf.io/yfne8},
  abstract = {Leaving monetary tips for servers is a commonplace occurrence in the United States. Tipping research has proposed that consumers tip to serve a variety of motives such as to ensure good service on future patronage, supplement servers' wages, and comply with social norms. Meanwhile, research on environmental factors that affect tipping behavior, such as method of bill payment, have yielded mixed findings. The advancement of technology has increased the use of screen-based payment methods that feature options with differing suggested tip amounts. This technology may pressure consumers into leaving larger tips or start tipping in situations where they previously would not. Using a computer-based study, we simulated counter-service experiences where customers have short interactions with their servers (e.g., ordering a cup of coffee to-go at a coffee shop). We studied how the availability of screen-based payment methods affected consumer feelings about establishments and tip amounts. Results indicated that, in our simulated coffee shop scenario, people feel negatively about screen-based payment methods and may avoid counter-service establishments that use them, but they did not leave larger tips when compared to other payment methods. Moreover, people tipped more when a server was visible (versus absent) and empathy did not moderate this effect. Together, these findings suggest that people tip to comply with social norms even if they may feel negatively about the consumer experience.},
  copyright = {All rights reserved},
  file = {/home/jstevens/zotero-library/Goh et al/goh_et_al_2020_pro_tip.pdf}
}

@article{Hartley.2004,
  title = {Current Findings from Research on Structured Abstracts},
  author = {Hartley, James},
  year = {2004},
  month = jul,
  journal = {Journal of the Medical Library Association},
  volume = {92},
  number = {3},
  pages = {368},
  publisher = {{Medical Library Association}},
  issn = {1536-5050},
  abstract = {Background: Structured abstracts were introduced into medical research journals in the mid 1980s....},
  langid = {english}
}

@article{Hartley.Sydes.1997,
  title = {Are Structured Abstracts Easier to Read than Traditional Ones?},
  author = {Hartley, James and Sydes, Matthew},
  year = {1997},
  journal = {Journal of Research in Reading},
  volume = {20},
  number = {2},
  pages = {122--136},
  issn = {1467-9817},
  doi = {10.1111/1467-9817.00025},
  abstract = {Background: Structured abstracts (which contain sub-headings such as this one) have replaced traditional abstracts in most current medical journals. Evaluation studies have shown that such abstracts usually contain more information, are of a higher quality, and facilitate peer review. Aim: The aim of the studies reported here was to investigate an additional, but as yet unexamined, feature of structured abstracts \textendash{} namely whether or not they might be easier to read. Method: Eight studies were carried out. The first two compared the Flesch and the Gunning readability scores of traditional abstracts that were published in particular journals with those of structured ones that were published in the same journals after these journals had moved to using structured abstracts. The next two examined the Flesch and the Gunning readability scores of traditional and structured abstracts when they were written by the same authors. The next two examined the ability of readers to re-construct scrambled versions of abstracts to see if it was easier to re-construct structured abstracts than it was to re-construct traditional ones. The last two examined readers' judgements of the readability of pairs of traditional and structured abstracts. Results: The first two studies showed that there were no significant differences in the readability scores of the earlier and the later abstracts. The next two studies showed, however, that when authors revised traditional abstracts to produce structured versions then the structured abstracts had higher readability scores. The next two studies showed that when readers were asked to re-sequence sentences taken from traditional and structured abstracts, they sometimes found this harder to do with traditional abstracts. The last two studies showed that readers rated structured abstracts more readable than traditional ones. Conclusions: These studies suggest that structured abstracts may be easier to read than traditional ones \textendash{} sometimes!},
  langid = {english},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9817.00025},
  file = {/home/jstevens/zotero-library/Hartley et al/hartley_et_al_1997_are_structured_abstracts_easier_to_read_than_traditional_ones.pdf}
}

@article{Maestre.2019,
  title = {Ten Simple Rules towards Healthier Research Labs},
  author = {Maestre, Fernando T.},
  year = {2019},
  month = apr,
  journal = {PLOS Computational Biology},
  volume = {15},
  number = {4},
  pages = {e1006914},
  publisher = {{Public Library of Science}},
  issn = {1553-7358},
  doi = {10.1371/journal.pcbi.1006914},
  abstract = {The negative effects of extremely competitive academic and research environments on the performance and health of researchers are well known and common worldwide. The prevalence of these effects, particularly among early career researchers, calls for a more humane and people-centered way of working within research labs. Although there is growing concern about the urgent need for a better life\textendash work balance when doing science, there are not many examples about how this could be achieved in practice. In this article, I introduce 10 simple rules to make the working environment of research labs more nurturing, collaborative, and people-centered. These rules are directed towards existing and future principal investigators (PIs) but will be of interest to anyone working in a research lab and/or dealing with how to improve working conditions for scientists.},
  langid = {english},
  keywords = {Careers,Careers in research,Graduates,Habits,Jobs,Psychological attitudes,Scientists,Technicians},
  file = {/home/jstevens/zotero-library/Maestre/maestre_2019_ten_simple_rules_towards_healthier_research_labs.pdf}
}

@article{Mehr.2020,
  title = {How to... Write a Lab Handbook},
  author = {Mehr, Samuel},
  year = {2020},
  journal = {Biologist},
  volume = {67},
  number = {2},
  pages = {26--28},
  publisher = {{Society of Biology}},
  issn = {00063347},
  abstract = {The article offers suggestions for making laboratory handbook such as collaboratively developing a set of policies for data management and security, arriving at the decision to move all our data and materials from a haphazard mix of storage methods to a GitHub Organization account. It also mentions about making checklists for recurring tasks and instructions for training new students.},
  keywords = {COMPUTER software security measures,DATA collection platforms,DATA integrity,MUSIC psychology,VIRTUAL work teams},
  file = {/home/jstevens/zotero-library/Mehr/mehr_2020_how_to.pdf}
}

@article{Wagenmakers.2007,
  title = {A Practical Solution to the Pervasive Problems of p Values},
  author = {Wagenmakers, Eric-Jan},
  year = {2007},
  journal = {Psychonomic Bulletin \& Review},
  volume = {14},
  number = {5},
  pages = {779--804},
  issn = {1531-5320},
  doi = {10.3758/BF03194105},
  abstract = {In the field of psychology, the practice ofp value null-hypothesis testing is as widespread as ever. Despite this popularity, or perhaps because of it, most psychologists are not aware of the statistical peculiarities of thep value procedure. In particular,p values are based on data that were never observed, and these hypothetical data are themselves influenced by subjective intentions. Moreover,p values do not quantify statistical evidence. This article reviews thesep value problems and illustrates each problem with concrete examples. The three problems are familiar to statisticians but may be new to psychologists. A practical solution to thesep value problems is to adopt a model selection perspective and use the Bayesian information criterion (BIC) for statistical inference (Raftery, 1995). The BIC provides an approximation to a Bayesian hypothesis test, does not require the specification of priors, and can be easily calculated from SPSS output.},
  file = {/home/jstevens/zotero-library/Wagenmakers/wagenmakers_2007_a_practical_solution_to_the_pervasive_problems_of_p_values.pdf}
}

@article{Wagenmakers.etal.2018,
  title = {Bayesian Inference for Psychology. {{Part II}}: {{Example}} Applications with {{JASP}}},
  shorttitle = {Bayesian Inference for Psychology. {{Part II}}},
  author = {Wagenmakers, Eric-Jan and Love, Jonathon and Marsman, Maarten and Jamil, Tahira and Ly, Alexander and Verhagen, Josine and Selker, Ravi and Gronau, Quentin F. and Dropmann, Damian and Boutin, Bruno and Meerhoff, Frans and Knight, Patrick and Raj, Akash and van Kesteren, Erik-Jan and van Doorn, Johnny and {\v S}m{\'i}ra, Martin and Epskamp, Sacha and Etz, Alexander and Matzke, Dora and de Jong, Tim and van den Bergh, Don and Sarafoglou, Alexandra and Steingroever, Helen and Derks, Koen and Rouder, Jeffrey N. and Morey, Richard D.},
  year = {2018},
  month = feb,
  journal = {Psychonomic Bulletin \& Review},
  volume = {25},
  number = {1},
  pages = {58--76},
  issn = {1069-9384, 1531-5320},
  doi = {10.3758/s13423-017-1323-7},
  abstract = {Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder's BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.},
  langid = {english},
  file = {/home/jstevens/zotero-library/Wagenmakers et al/wagenmakers_et_al_2018_bayesian_inference_for_psychology._part_ii_-_example_applications_with_jasp.pdf}
}

@book{Wickham.Grolemund.2017,
  title = {R for {{Data Science}}},
  author = {Wickham, Hadley and Grolemund, Garrett},
  year = {2017},
  publisher = {{O'Reilly Media}},
  abstract = {Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to:  Wrangle--transform your datasets into a form convenient for analysis Program--learn powerful R tools for solving data problems with greater clarity and ease Explore--examine your data, generate hypotheses, and quickly test them Model--provide a low-dimensional summary that captures true "signals" in your dataset Communicate--learn R Markdown for integrating prose, code, and results},
  isbn = {978-1-4919-1039-9},
  langid = {english},
  keywords = {Computers / Data Processing,Computers / Mathematical \& Statistical Software,Mathematics / Probability \& Statistics / General}
}

@book{Xie.etal.2018,
  title = {R {{Markdown}}: {{The Definitive Guide}}},
  shorttitle = {R {{Markdown}}},
  author = {Xie, Y and Allaire, J J and Grolemund, G},
  year = {2018},
  publisher = {{Chapman and Hall}},
  abstract = {The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.}
}


@article{Nosek.etal.2019,
  title = {Preregistration Is Hard, and Worthwhile},
  author = {Nosek, Brian A. and Beck, Emorie D. and Campbell, Lorne and Flake, Jessica K. and Hardwicke, Tom E. and Mellor, David T. and {van 't Veer}, Anna E. and Vazire, Simine},
  year = {2019},
  month = oct,
  journal = {Trends in Cognitive Sciences},
  volume = {23},
  number = {10},
  pages = {815--818},
  issn = {1364-6613},
  doi = {10.1016/j.tics.2019.07.009},
  abstract = {Preregistration clarifies the distinction between planned and unplanned research by reducing unnoticed flexibility. This improves credibility of findings and calibration of uncertainty. However, making decisions before conducting analyses requires practice. During report writing, respecting both what was planned and what actually happened requires good judgment and humility in making claims.},
  keywords = {confirmatory research,exploratory research,preregistration,reproducibility,transparency}
}