The Seven Deadly Sins of Psychology
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Geisteswissenschaften, Kunst, Musik / Psychologie
Why psychology is in peril as a scientific discipline—and how to save it
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 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. Left unchecked, these and other problems threaten the very future of psychology as a science—but help is here.
Reprimand, Effect size, Editorial, Criticism, Manuscript, Blog, Independent scientist, John Bargh, Career, Data set, Finding, Quantity, Peer review, American Psychological Association, PLOS ONE, Psychologist, Paywall, Article processing charge, Tilburg University, Publication bias, Jargon, Psychological Science, Precognition, Ambiguity, Author, Psychological research, Fraud, Statistics, Cognitive psychology, Guideline, Scientific misconduct, Scrutiny, Literature, Methodology, Probability, Prevalence, Fallacy, Suggestion, Whistleblower, Psychology, Post hoc analysis, Meta-analysis, Impact factor, Publication, Requirement, Raw data, Funding, Psychonomic Society, Scientific method, Scientific literature, False positive rate, Participant, Sampling (statistics), Statistician, Cherry picking, Publishing, Academic publishing, Open science, Psychiatry, Center for Open Science, Percentage, Type I and type II errors, Scientist, Experimental psychology, Null hypothesis, Bayesian, Science, Misconduct, Adversarial collaboration, Explanation, Sample Size, Paperback, Postdoctoral researcher, Reuse, Statistical significance, Alzheimer's disease, Estimation, Narrative, Statistical hypothesis testing, Reproducibility, Statistical power, Bayes' theorem, Hypothetico-deductive model, Data, P-value, Result, Social psychology, Experiment, Counting, Edition (book), Reputation, Signature, Law of small numbers, Scrutiny (journal), PLOS, Writing, Confirmation bias, Sharing, Institution, Calculation