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Meta-Analysis --- Medicine --- Biomedical Research --- Meta-Analysis --- Bias (Epidemiology) --- Publication Bias

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This open access textbook offers a practical guide into research ethics for undergraduate students in the social sciences. A step-by-step approach of the most viable issues, in-depth discussions of case histories and a variety of didactical tools will aid the student to grasp the issues at hand and help him or her develop strategies to deal with them. This book addresses problems and questions that any bachelor student in the social sciences should be aware of, including plagiarism, data fabrication and other types of fraud, data augmentation, various forms of research bias, but also peer pressure, issues with confidentiality and questions regarding conflicts of interest. Cheating, ‘free riding’, and broader issues that relate to the place of the social sciences in society are also included. The book concludes with a step-by-step approach designed to coach a student through a research application process.

Research—Moral and ethical aspects. --- Social sciences. --- Psychology—Methodology. --- Psychological measurement. --- Research Ethics --- Methodology of the Social Sciences --- Psychological Methods/Evaluation --- Moral Philosophy and Applied Ethics --- Biotechnology --- Psychological Methods --- conceptualizing research ethics --- research ethics in the social sciences --- definition of plagiarism --- factors that facilitate plagiarism --- ghostwriting --- measures to counter plagiarism --- fabrication and cheating --- research bias --- science's self-correction --- publication bias --- Open Access --- Ethics & moral philosophy --- Philosophy of science --- Social research & statistics --- Psychological methodology --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Measurement --- Scaling --- Methodology

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Chris Chambers draws on his own experiences as a working scientist to reveal a dark side to psychology that few of us ever see. Using the seven deadly sins as a metaphor, he shows how practitioners are vulnerable to powerful biases that undercut the scientific method, how they routinely torture data until it produces outcomes that can be published in prestigious journals, and how studies are much less reliable than advertised. He reveals how a culture of secrecy denies the public and other researchers access to the results of psychology experiments, how fraudulent academics can operate with impunity, and how an obsession with bean counting creates perverse incentives for academics ... Outlining a core set of best practices that can be applied across the sciences, Chambers demonstrates how all these sins can be corrected by embracing open science, an emerging philosophy that seeks to make research and its outcomes as transparent as possible. Provided by publisher. Psychological science has made extraordinary discoveries about the human mind, but can we trust everything its practitioners are telling us? In recent years, it has become increasingly apparent that a lot of research in psychology is based on weak evidence, questionable practices, and sometimes even fraud. The Seven Deadly Sins of Psychology diagnoses the ills besetting the discipline today and proposes sensible, practical solutions to ensure that it remains a legitimate and reliable science in the years ahead. In this unflinchingly candid manifesto, Chris Chambers draws on his own experiences as a working scientist to reveal a dark side to psychology that few of us ever see. Using the seven deadly sins as a metaphor, he shows how practitioners are vulnerable to powerful biases that undercut the scientific method, how they routinely torture data until it produces outcomes that can be published in prestigious journals, and how studies are much less reliable than advertised. He reveals how a culture of secrecy denies the public and other researchers access to the results of psychology experiments, how fraudulent academics can operate with impunity, and how an obsession with bean counting creates perverse incentives for academics. Left unchecked, these problems threaten the very future of psychology as a science but help is here. Outlining a core set of best practices that can be applied across the sciences, Chambers demonstrates how all these sins can be corrected by embracing open science, an emerging philosophy that seeks to make research and its outcomes as transparent as possible. Publisher's description

Psychology --- Psychologie --- Research --- Methodology --- Recherche --- Méthodologie --- Psychology, Clinical. --- Methodology. --- Research. --- Philosophy of science --- Méthodologie --- Recherche. --- Méthodologie. --- Psychological research --- Psychology, Clinical --- Academic publishing. --- Adversarial collaboration. --- Alzheimer's disease. --- Ambiguity. --- American Psychological Association. --- Article processing charge. --- Author. --- Bayes' theorem. --- Bayesian. --- Blog. --- Calculation. --- Career. --- Center for Open Science. --- Cherry picking. --- Cognitive psychology. --- Confirmation bias. --- Counting. --- Criticism. --- Data set. --- Data. --- Edition (book). --- Editorial. --- Effect size. --- Estimation. --- Experiment. --- Experimental psychology. --- Explanation. --- Fallacy. --- False positive rate. --- Finding. --- Fraud. --- Funding. --- Guideline. --- Hypothetico-deductive model. --- Impact factor. --- Independent scientist. --- Institution. --- Jargon. --- John Bargh. --- Law of small numbers. --- Literature. --- Manuscript. --- Meta-analysis. --- Misconduct. --- Narrative. --- Null hypothesis. --- Open science. --- P-value. --- PLOS ONE. --- PLOS. --- Paperback. --- Participant. --- Paywall. --- Peer review. --- Percentage. --- Post hoc analysis. --- Postdoctoral researcher. --- Precognition. --- Prevalence. --- Probability. --- Psychiatry. --- Psychological Science. --- Psychological research. --- Psychologist. --- Psychology. --- Psychonomic Society. --- Publication bias. --- Publication. --- Publishing. --- Quantity. --- Raw data. --- Reprimand. --- Reproducibility. --- Reputation. --- Requirement. --- Result. --- Reuse. --- Sample Size. --- Sampling (statistics). --- Science. --- Scientific literature. --- Scientific method. --- Scientific misconduct. --- Scientist. --- Scrutiny (journal). --- Scrutiny. --- Sharing. --- Signature. --- Social psychology. --- Statistical hypothesis testing. --- Statistical power. --- Statistical significance. --- Statistician. --- Statistics. --- Suggestion. --- Tilburg University. --- Type I and type II errors. --- Whistleblower. --- Writing. --- Méthodologie.