A Student's Guide to Open Science: Using the Replication Crisis to Reform Psychology

A Student's Guide to Open Science: Using the Replication Crisis to Reform Psychology

Author: Charlotte Pennington

Publisher: McGraw-Hill Education (UK)

Published: 2023-02-06

Total Pages: 130

ISBN-13: 033525117X

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“Dr Charlotte R. Pennington has pulled off a remarkable trifecta of being clear, concise, and comprehensive in covering the origins of the open science movement and practical advice for adopting the behaviors” Professor Brian Nosek, Executive Director, Center for Open Science; University of Virginia, US ''I believe this book will be extremely valuable to both students and academics who wish to further their understanding of transparent research in psychology, and I have already taken steps towards adding this as a core text in my department!'' Psychology Teaching Review “My hope is that every psychology student will finish their degree with a heavily annotated, well-thumbed copy of this important and timely book!” Dr Madeleine Pownall, University of Leeds, UK “This book should be on the reading list for all university science degrees and on all library bookshelves. It is concise, accessible, and remarkably interactive, with brilliant use of examples and learning activities. Is there a better instruction manual on how to do science properly? If there is, I haven’t seen it.” Professor Chris Chambers, Cardiff University, UK “This book will equip future generations with the tools necessary to improve our disciplines, and thereby represents a significant ray of hope for the future. Essential and timely.” Dr Emma Henderson, University of Surrey, UK A Student’s Guide to Open Science explores the so-called “replication crisis” in psychology (the inherent difficulties in replicating or reproducing research results to test the robustness of findings) while delving into the ways that open science can address the crisis by transforming research practice. Students will develop a fundamental understanding of the origins and drivers of the crisis and learn how open science practices can enhance research transparency, replication, and reproducibility. With a handy, digestible guide for students and researchers alike on how to implement open science practices within their own workflow, as well as pedagogic teaching and learning activities that can be re-used by educators, Pennington’s new book is an essential guide to navigating the replication crisis. Key features of this book include: • An overview of landmark events that will mark the history of the replication crisis. • Case studies of classic psychological studies undergoing replication. • Test yourself activities to reinforce learning of key concepts, including an open science crossword! • Top tips for adopting open science practices, including study preregistration, Registered Reports, and open materials, code, and data. • Useful illustrations to aid understanding and facilitate revision. New concepts and practices can often feel overwhelming, but this book aims to help students and educators pick what they want from the ‘open science buffet’ and return to the table to fill up their plates again and again. Remember, we are all students of open science and will be for many years to come! Dr Charlotte R. Pennington is a Lecturer in Psychology at Aston University, Birmingham, UK and a Fellow of the Higher Education Academy. She is an expert in open science and advocates for the teaching of this within higher education pedagogy.


Teaching Social Psychology

Teaching Social Psychology

Author: Catherine A. Sanderson

Publisher: Edward Elgar Publishing

Published: 2024-08-06

Total Pages: 251

ISBN-13: 1035327139

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This thought-provoking book consolidates insights, theories and practical recommendations for best practice when teaching social psychology. Bringing together a wealth of experts in the field, editors Catherine A. Sanderson and Rebecca R. Totton encourage educators to emphasize the direct connection between social psychology course material and everyday life.


Introduction to the New Statistics

Introduction to the New Statistics

Author: Geoff Cumming

Publisher: Taylor & Francis

Published: 2024-03-21

Total Pages: 611

ISBN-13: 1003849016

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This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (“the new statistics”), is exactly what’s needed for Open Science. Key features of this new edition include: Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine. Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what’s required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/. Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/. Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two. Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.


Becoming a Behavioral Science Researcher

Becoming a Behavioral Science Researcher

Author: Rex B. Kline

Publisher: Guilford Press

Published: 2008-08-21

Total Pages: 383

ISBN-13: 1606235966

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This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition, ISBN 978-1-4625-3879-9.


Behaviour and Evolution

Behaviour and Evolution

Author: Marion Hall

Publisher: Springer Science & Business Media

Published: 1998-11-25

Total Pages: 322

ISBN-13: 9783540647522

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This volume examines a variety of aspects of animal behavior and analyzes the underlying relationship between behavior and evolution. Studying behavior draws upon the work of scientists from a number of disciplines, all seeking to answer the question of why an animal behaves in the way it does. The possible answers to this question development, survival value, evolutionary history, and cause-and-effectare explored in this easy-to-read introduction to behavior and evolution.


Introduction to the New Statistics

Introduction to the New Statistics

Author: Geoff Cumming

Publisher: Routledge

Published: 2016-10-04

Total Pages: 595

ISBN-13: 1317483375

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This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.


Reproducibility and Replicability in Science

Reproducibility and Replicability in Science

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2019-10-20

Total Pages: 257

ISBN-13: 0309486165

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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.


Radical Solutions and Open Science

Radical Solutions and Open Science

Author: Daniel Burgos

Publisher: Springer Nature

Published: 2020-05-14

Total Pages: 199

ISBN-13: 9811542767

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This open access book presents how Open Science is a powerful tool to boost Higher Education. The book introduces the reader into Open Access, Open Technology, Open Data, Open Research results, Open Licensing, Open Accreditation, Open Certification, Open Policy and, of course, Open Educational Resources. It brings all these key topics from major players in the field; experts that present the current state of the art and the forthcoming steps towards a useful and effective implementation. This book presents radical, transgenic solutions for recurrent and long-standing problems in Higher Education. Every chapter presents a clear view and a related solution to make Higher Education progress and implement tools and strategies to improve the user’s performance and learning experience. This book is part of a trilogy with companion volumes on Radical Solutions & Learning Analytics and Radical Solutions & eLearning.