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A consensus-based transparency checklist
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CC BY
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We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository.

Subject:
Psychology
Social Science
Material Type:
Reading
Provider:
Nature Human Behaviour
Author:
Agneta Fisher
Alexandra M. Freund
Alexandra Sarafoglou
Alice S. Carter
Andrew A. Bennett
Andrew Gelman
Balazs Aczel
Barnabas Szaszi
Benjamin R. Newell
Brendan Nyhan
Candice C. Morey
Charles Clifton
Christopher Beevers
Christopher D. Chambers
Christopher Sullivan
Cristina Cacciari
D. Stephen Lindsay
Daniel Benjamin
Daniel J. Simons
David R. Shanks
Debra Lieberman
Derek Isaacowitz
Dolores Albarracin
Don P. Green
Eric Johnson
Eric-Jan Wagenmakers
Eveline A. Crone
Fernando Hoces de la Guardia
Fiammetta Cosci
George C. Banks
Gordon D. Logan
Hal R. Arkes
Harold Pashler
Janet Kolodner
Jarret Crawford
Jeffrey Pollack
Jelte M. Wicherts
John Antonakis
John Curtin
John P. Ioannidis
Joseph Cesario
Kai Jonas
Lea Moersdorf
Lisa L. Harlow
M. Gareth Gaskell
Marcus Munafò
Mark Fichman
Mike Cortese
Mitja D. Back
Morton A. Gernsbacher
Nelson Cowan
Nicole D. Anderson
Pasco Fearon
Randall Engle
Robert L. Greene
Roger Giner-Sorolla
Ronán M. Conroy
Scott O. Lilienfeld
Simine Vazire
Simon Farrell
Stavroula Kousta
Ty W. Boyer
Wendy B. Mendes
Wiebke Bleidorn
Willem Frankenhuis
Zoltan Kekecs
Šimon Kucharský
Date Added:
08/07/2020
An excess of positive results: Comparing the standard Psychology literature with Registered Reports
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CC BY
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When studies with positive results that support the tested hypotheses have a higher probability of being published than studies with negative results, the literature will give a distorted view of the evidence for scientific claims. Psychological scientists have been concerned about the degree of distortion in their literature due to publication bias and inflated Type-1 error rates. Registered Reports were developed with the goal to minimise such biases: In this new publication format, peer review and the decision to publish take place before the study results are known. We compared the results in the full population of published Registered Reports in Psychology (N = 71 as of November 2018) with a random sample of hypothesis-testing studies from the standard literature (N = 152) by searching 633 journals for the phrase ‘test* the hypothes*’ (replicating a method by Fanelli, 2010). Analysing the first hypothesis reported in each paper, we found 96% positive results in standard reports, but only 44% positive results in Registered Reports. The difference remained nearly as large when direct replications were excluded from the analysis (96% vs 50% positive results). This large gap suggests that psychologists underreport negative results to an extent that threatens cumulative science. Although our study did not directly test the effectiveness of Registered Reports at reducing bias, these results show that the introduction of Registered Reports has led to a much larger proportion of negative results appearing in the published literature compared to standard reports.

Subject:
Psychology
Social Science
Material Type:
Reading
Author:
Anne M. Scheel
Daniel Lakens
Mitchell Schijen
Date Added:
08/07/2020
inf-schule
Conditional Remix & Share Permitted
CC BY-SA
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Das elektronische Schulbuch inf-schule wird seit 2008 in sich dynamisch entwickelnden Versionen in Internet angeboten; im Internet-Archiv ist es seit 2009 dokumentiert.
Das Webangebot umfasst zur Zeit etwa 2000 Webseiten.
Das Webangebot www.inf-schule.de versteht sich als elektronisches Schulbuch. Zur Konzeption siehe: https://www.inf-schule.de/infschule/konzeption

Subject:
Applied Science
Computer Science
Education
Material Type:
Textbook
Author:
AG Informatik
Alex Domay
Anna Backes
Anna-Lena Schlachter
Bernd Fröhlich
Boris Briehl
Carsten Jung
Christa Papke
Christoph Oberweis
Christoph Schmidt
Christopher Hardt
Daniel Behr
Daniel Jonietz
Daniel Korz
Daniel Reinhardt
David Brittinger
David Wahl
Dominik Kraft
Dominik Leib
Dominique Ufer
Doris Visser-Wermuth
Eva Kern
Frank Schuck
Gregor Dschung
Gunther Jacobs
Hannes Heusel
Heiko Jochum
Hendrik Rombach
Jens Hubrich Jens Jessl
Johannes Klein
Johannes Merkert
Johannes Schildgen
Joshua Ginkel
Julia Gaa
Julia Müller
Katharina Löwen
Kevin Jösch
Klaus Becker
Klaus Merkert
Laura Witowski
Linda Leger
Manuel Froitzheim
Marco Schneider
Marion Stadtmüller
Martin Jakobs
Matheus Piechaczek
Michael Krauß Markus Rohe
Michael Rappold
Michael Savorić
Michael Schlemmer Matthias Reichel
Michèle Keller-Buttell
Niko Markus
Oliver Schneider
Pascal Deneaux
Patrick Haag
Peter Dauscher
Philippe Nix
Samuel Dietz
Sebastian Kapp
Silke Schneider
Stefan Müller
Stefan Schweickert
Stefan Zimmermann
Stefania Barzan
Sylvio Tabor
Thomas Karp
Thomas Mohr
U. Diewald
Ulrich Strautz
Volker Brustmeier
Wolfgang Mathea
Date Added:
01/28/2021
A keyphrase suggestion engine for semi-automated document characterization
Only Sharing Permitted
CC BY-ND
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James Powell, Dylan Johnson, Timothy Mandzyuk, Daniel Waybright, Alex Shocklee, and Nicholas Taylor (Los Alamos National Laboratory) present 'A keyphrase suggestion engine for semi-automated document characterization' during the Short Talk and Demo session at the Fantastic Futures ai4LAM 2023 annual... This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

This item has files of the following types: Archive BitTorrent, Item Tile, MP3, MPEG4, Metadata, PNG, Thumbnail, h.264 720P, h.264 IA

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Lecture
Provider:
AI4LAM
Provider Set:
Fantastic Futures 2023 Conference Session Recordings
Author:
Alex Shocklee
Daniel Waybright
Dylan Johnson
James Powell
Nicholas Taylor
Timothy Mandzyuk
Date Added:
04/30/2024
r-cubed: An Introductory Workshop on Modern Data Analyses and Workflows for Reproducible Research in R
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CC BY
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Reproducibility and open scientific practices are increasingly being requested or required of scientists and researchers, but training on these practices has not kept pace, especially in biomedical research. This course intends to help bridge that gap and covers the fundamentals and workflow of data analysis in R.

The linked website contains the lesson, lecture, and assignment material for the course, as well as additional instructions to other potential instructors of this course material.

Subject:
Applied Science
Education
Health, Medicine and Nursing
Higher Education
Material Type:
Lesson Plan
Module
Syllabus
Teaching/Learning Strategy
Author:
Anders Aasted Isaksen
Bettina Lengger
Daniel R. Witte
Hannah Chatwin
Helene Bæk Juel
Malene Revsbech Christiansen
Luke W. Johnston
Date Added:
02/08/2021
scikit-learn
Unrestricted Use
CC BY
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Examine scikit-learn's features, uses, and advantages for easy model construction and data analysis.

Subject:
Computing and Information
Material Type:
Textbook
Author:
daniel james
Date Added:
03/29/2024