Understanding Inferential Statistics: From A for Significance Test to Z for Conf

Description: Understanding Inferential Statistics by Markus Janczyk, Roland Pfister 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description What 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. Back Cover What does this p-value actually mean? And what is a significant result? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and hypothesis testing: Readers learn the most commonly used procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) as well as the pitfalls of data analysis, and develop the understanding necessary to interpret results correctly. The individual chapters are supplemented by concrete evaluation examples from everyday research - including exemplary implementation with the programs SPSS and R. In addition to the classic methods, cross-references to current developments in psychological methodological research are also included. This book is a translation of the original German 3rd edition of Inferenzstatistik verstehen by Markus Janczyk and Roland Pfister. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. 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-Universit Author Biography Markus Janczyk studied psychology at the Universities of Halle-Wittenberg and Reno (USA), obtained his doctorate at the TU Dortmund University and habilitated at the Julius-Maximilians-University of WÜrzburg. 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, memory, and cognitive modeling.Roland Pfister studied psychology at the Julius-Maximilians-University of WÜrzburg, where he wrote his doctoral thesis on the cognitive mechanisms of conscious rule breaking. In addition, he works on basic mechanisms of action control, the interplay of perception and action, and the history of psychology. Table of Contents Introduction 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. Feature Comprehensible introduction to logic and classical methods of inferential statistics With evaluation examples for SPSS and R from everyday research Formal writing styles and aspects for advanced students in separate consolidation boxes Details ISBN3662667851 Author Roland Pfister Short Title Understanding Inferential Statistics Language English Year 2023 ISBN-10 3662667851 ISBN-13 9783662667859 Format Paperback Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition 1st Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Subtitle From A for Significance Test to Z for Confidence Interval Pages 201 Edition Description 1st ed. 2023 DEWEY 519.2 Audience Professional & Vocational Illustrations 18 Illustrations, color; 40 Illustrations, black and white; XVII, 201 p. 58 illus., 18 illus. in color. With online files/update. Publication Date 2023-10-25 UK Release Date 2023-10-25 Translated from German We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159725088;

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