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001482673 001__ 1482673
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001482673 020__ $$a9783662667866$$q(electronic bk.)
001482673 020__ $$a366266786X$$q(electronic bk.)
001482673 020__ $$z3662667851
001482673 020__ $$z9783662667859
001482673 0247_ $$a10.1007/978-3-662-66786-6$$2doi
001482673 035__ $$aSP(OCoLC)1406083883
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001482673 050_4 $$aQA273$$b.J36 2023
001482673 08204 $$a519.5/4$$223/eng/20231103
001482673 1001_ $$aJanczyk, Markus.
001482673 24510 $$aUnderstanding inferential statistics :$$bfrom a for significance test to z for confidence interval /$$cMarkus Janczyk, Roland Pfister.
001482673 260__ $$aBerlin :$$bSpringer,$$c2023.
001482673 300__ $$a1 online resource
001482673 504__ $$aIncludes bibliographical references and index.
001482673 5050_ $$aIntroduction and descriptive statistics -- Basics of inferential statistics 1: random variables -- Basics of inferential statistics 2: population and parameter estimation -- Hypothesis testing and significance -- Difference hypotheses with a maximum of two groups: t-tests. Confidence intervals -- Error types, effect size and power -- Single factor analysis of variance -- Multifactorial analysis of variance -- Analysis of variance with repeated measures -- Correlation hypotheses: Correlation and regression -- Concluding remarks.
001482673 506__ $$aAccess limited to authorized users.
001482673 520__ $$aWhat actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then walk through the most common procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) and discuss pitfalls of data analysis. The book thus helps developing a solid understanding of how common test procedures work, and how to interpret their results correctly. Hands-on examples from everyday research including exemplary calculations with the programs SPSS and R supplement each chapter. In addition to classical methods, we briefly discuss recent developments in psychological research methods. This book is a translation of the original German 3rd edition of Inferenzstatistik Verstehen by Markus Janczyk and Roland Pfister. It is based on an AI-powered machine translation (by the service DeepL.com), with thorough follow-up editing by both authors. The authors Markus Janczyk studied psychology at the Universities of Halle-Wittenberg and Reno (USA), earned his doctorate at TU Dortmund University, and completed his habilitation at Julius-Maximilians-Universitt Wrzburg. He is currently a professor at the University of Bremen, where he heads the Research Methods and Cognitive Psychology Group. In his research, he is primarily interested in action control, multitasking, language, applied statistics, and cognitive modeling. Roland Pfister studied psychology at the Julius-Maximilians-University of Wrzburg, where he wrote his doctoral thesis on the cognitive mechanisms of deliberate rule violations. In addition, he works on basic mechanisms of action control, the interplay of perception and action, applied statistics, and the history of psychology.
001482673 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 3, 2023).
001482673 650_0 $$aInference.
001482673 650_0 $$aProbabilities.
001482673 650_6 $$aInférence (Logique)
001482673 650_6 $$aProbabilités.
001482673 655_0 $$aElectronic books.
001482673 7001_ $$aPfister, Roland.
001482673 77608 $$iPrint version: $$z3662667851$$z9783662667859$$w(OCoLC)1358749065
001482673 852__ $$bebk
001482673 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-662-66786-6$$zOnline Access$$91397441.1
001482673 909CO $$ooai:library.usi.edu:1482673$$pGLOBAL_SET
001482673 980__ $$aBIB
001482673 980__ $$aEBOOK
001482673 982__ $$aEbook
001482673 983__ $$aOnline
001482673 994__ $$a92$$bISE