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Statistical power analysis for the behavioral sciences
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ISBN: 0805802835 1134742770 1134742703 0203771583 9780805802832 9780203771587 Year: 1988 Publisher: Hillsdale (N.J.): Erlbaum, Lawrence, Associates,

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Abstract

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of ""qualifying"" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Statistical power analysis : a simple and general model for traditional and modern hypothesis tests
Authors: ---
ISBN: 0805829474 0805829466 Year: 1998 Publisher: Mahwah (N.J.) Lawrence Erlbaum


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Introduction to power analysis : two-group studies
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ISBN: 9781506343129 1506343120 1544365322 1506343104 1506343112 1506343139 9781506343105 9781506343112 9781506343136 9781544365329 Year: 2018 Volume: 176 Publisher: Thousand Oaks (Calif.): Sage,

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Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy. --! From back cover.


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Statistical power analysis: a simple and general model for traditional and modern hypothesis tests
Authors: --- ---
ISBN: 9781841697741 9780415965552 9781841697758 Year: 2009 Publisher: Mahwah, N.J. Erlbaum


Book
The seven deadly sins of psychology : a manifesto for reforming the culture of scientific practice : with a new preface by the author
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ISBN: 9780691158907 0691158908 9780691192031 0691192030 9780691192277 0691192278 Year: 2019 Publisher: Princeton, N.J. : Princeton Univ. P.,

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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 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.

Keywords

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.

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