references.bib

@article{hughes_impact_2009,
	title = {The impact of incorrect responses to reverse-coded survey items},
	volume = {16},
	issn = {1085-5300},
	abstract = {The impacts of incorrect responses to reverse-coded survey items were examined in this simulation study by reversing responses to traditional Likert-format items from 700 administrators in randomly selected schools in a 7-county region in central Arkansas that were obtained from an archival dataset. Specifically, the number of reverse-coded items (1 to 5) and percentage of participants (5\%, 10\%, 15\%, or 20\%) responding incorrectly were varied to examine impacts on score reliability and scale means. Results suggested that incorrect responses to reverse-coded items can statistically significantly impact scale means. Impacts on estimates of internal consistency reliability of scores were small and might go undetected by researchers. The results support advice by researchers to use reverse-coded items with caution and subject the items to additional scrutiny to detect systematic measurement error arising from incorrect or confused responses. (PsycInfo Database Record (c) 2024 APA, all rights reserved)},
	number = {2},
	journal = {Research in the Schools},
	author = {Hughes, Gail D.},
	year = {2009},
	note = {Place: US
Publisher: Mid South Educational Research Assn},
	keywords = {Educational Administration, Educational Measures, Rating Scales, Scoring (Testing), Simulation, Surveys, Test Reliability},
	pages = {76--88},
	file = {Snapshot:/home/gupta/Zotero/storage/PKJDDSZ9/2010-08001-009.html:text/html},
}

@article{gorman_ecological_2014,
	title = {Ecological {Sexual} {Dimorphism} and {Environmental} {Variability} within a {Community} of {Antarctic} {Penguins} ({Genus} {Pygoscelis})},
	volume = {9},
	issn = {1932-6203},
	url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090081},
	doi = {10.1371/journal.pone.0090081},
	abstract = {Background Sexual segregation in vertebrate foraging niche is often associated with sexual size dimorphism (SSD), i.e., ecological sexual dimorphism. Although foraging behavior of male and female seabirds can vary markedly, differences in isotopic (carbon, δ13C and nitrogen, δ15N) foraging niche are generally more pronounced within sexually dimorphic species and during phases when competition for food is greater. We examined ecological sexual dimorphism among sympatric nesting Pygoscelis penguins asking whether environmental variability is associated with differences in male and female pre-breeding foraging niche. We predicted that all Pygoscelis species would forage sex-specifically, and that higher quality winter habitat, i.e., higher or lower sea ice coverage for a given species, would be associated with a more similar foraging niche among the sexes. Results P2/P8 primers reliably amplified DNA of all species. On average, male Pygoscelis penguins are structurally larger than female conspecifics. However, chinstrap penguins were more sexually dimorphic in culmen and flipper features than Adélie and gentoo penguins. Adélies and gentoos were more sexually dimorphic in body mass than chinstraps. Only male and female chinstraps and gentoos occupied separate δ15N foraging niches. Strong year effects in δ15N signatures were documented for all three species, however, only for Adélies, did yearly variation in δ15N signatures tightly correlate with winter sea ice conditions. There was no evidence that variation in sex-specific foraging niche interacted with yearly winter habitat quality. Conclusion Chinstraps were most sexually size dimorphic followed by gentoos and Adélies. Pre-breeding sex-specific foraging niche was associated with overall SSD indices across species; male chinstrap and gentoo penguins were enriched in δ15N relative to females. Our results highlight previously unknown trophic pathways that link Pygoscelis penguins with variation in Southern Ocean sea ice suggesting that each sex within a species should respond similarly in pre-breeding trophic foraging to changes in future winter habitat.},
	language = {en},
	number = {3},
	urldate = {2025-11-02},
	journal = {PLOS ONE},
	author = {Gorman, Kristen B. and Williams, Tony D. and Fraser, William R.},
	month = mar,
	year = {2014},
	note = {Publisher: Public Library of Science},
	keywords = {Animal sexual behavior, Antarctica, Ecological niches, Foraging, Islands, Isotopes, Penguins, Sea ice},
	pages = {e90081},
	file = {Full Text PDF:/home/gupta/Zotero/storage/ZJWJES2P/Gorman et al. - 2014 - Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins.pdf:application/pdf},
}

@article{wilkinson_fair_2016,
	title = {The {FAIR} {Guiding} {Principles} for scientific data management and stewardship},
	volume = {3},
	copyright = {2016 The Author(s)},
	issn = {2052-4463},
	url = {https://www.nature.com/articles/sdata201618},
	doi = {10.1038/sdata.2016.18},
	abstract = {There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.},
	language = {en},
	number = {1},
	urldate = {2025-11-02},
	journal = {Scientific Data},
	author = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Mercè and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J. G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and ’t Hoen, Peter A. C. and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend},
	month = mar,
	year = {2016},
	note = {Publisher: Nature Publishing Group},
	keywords = {Publication characteristics, Research data},
	pages = {160018},
	file = {Full Text PDF:/home/gupta/Zotero/storage/6PHHHK4X/Wilkinson et al. - 2016 - The FAIR Guiding Principles for scientific data management and stewardship.pdf:application/pdf},
}

@Manual{waring_skimr_2025,
  title = {skimr: Compact and Flexible Summaries of Data},
  author = {Elin Waring and Michael Quinn and Amelia McNamara and Eduardo {Arino de la Rubia} and Hao Zhu and Shannon Ellis},
  year = {2025},
  note = {R package version 2.2.1},
  url = {https://CRAN.R-project.org/package=skimr},
}

@Manual{fischetti_assertr_2023,
  title = {assertr: Assertive Programming for R Analysis Pipelines},
  author = {Tony Fischetti},
  year = {2023},
  note = {R package version 3.0.1},
  url = {https://CRAN.R-project.org/package=assertr},
}

@Manual{iannone_pointblank_2024,
  title = {pointblank: Data Validation and Organization of Metadata for Local and Remote Tables},
  author = {Richard Iannone and Mauricio Vargas and June Choe},
  year = {2024},
  note = {R package version 0.12.2},
  url = {https://CRAN.R-project.org/package=pointblank},
}

@Article{loo_validate_2021,
  title = {Data Validation Infrastructure for {R}},
  author = {Mark P. J. {van der Loo} and Edwin {de Jonge}},
  journal = {Journal of Statistical Software},
  year = {2021},
  volume = {97},
  number = {10},
  pages = {1--31},
  doi = {10.18637/jss.v097.i10},
}

@Article{patil_datawizard_2022,
  title = {{datawizard}: An {R} Package for Easy Data Preparation and Statistical Transformations},
  author = {Indrajeet Patil and Dominique Makowski and Mattan S. Ben-Shachar and Brenton M. Wiernik and Etienne Bacher and Daniel Lüdecke},
  journal = {Journal of Open Source Software},
  year = {2022},
  volume = {7},
  number = {78},
  pages = {4684},
  doi = {10.21105/joss.04684},
}