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Statistical Power Analysis

Author: Kevin R. Murphy
Publisher: Routledge
ISBN: 1136910417
Size: 47.83 MB
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First Published in 2009. Routledge is an imprint of Taylor & Francis, an informa company.

An Introduction To Statistical Concepts

Author: Debbie L Hahs-Vaughn
Publisher: Routledge
ISBN: 1136490124
Size: 44.64 MB
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This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.

What If There Were No Significance Tests

Author: Lisa L. Harlow
Publisher: Routledge
ISBN: 1317242858
Size: 41.30 MB
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The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.

Forschungsmethoden Und Evaluation

Author: Jürgen Bortz
Publisher: Springer-Verlag
ISBN: 3662073013
Size: 46.65 MB
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Dieses Lehrbuch erklärt, wie man nach Maßgabe wissenschaftlicher Standards Hypothesen entwickelt und überprüft (empirische Forschung) und wie man die Wirksamkeit von sozialen Interventionen abschätzt (Evaluation). Die Leser lernen, neue Theorien aufzustellen und alte zu verändern, Untersuchungspläne zu entwerfen und ihre Qualität zu beurteilen, quantitative und qualitative Daten zu erheben und auszuwerten, Untersuchungsberichte zu verstehen und selbst anzufertigen. Mit zahlreichen Beispielen, Abbildungen, EDV-Hinweisen, Lehrsätzen, Übungsaufgaben und Cartoons ausgestattet, eignet sich dieses Buch zur studienbegleitenden und prüfungsvorbereitenden Lektüre in den Sozialwissenschaften, insbesondere in der Psychologie und ist auch als Nachschlagewerk unentbehrlich.

Understanding Psychology As A Science

Author: Zoltan Dienes
Publisher: Red Globe Press
ISBN: 9780230542310
Size: 61.77 MB
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How can we objectively define categories of truth in scientific thinking? How can we reliably measure the results of research? In this ground-breaking text, Dienes undertakes a comprehensive historical analysis of the dominant schools of thought, key theories and influential thinkers that have progressed the foundational principles and characteristics that typify scientific research methodology today. This book delivers a masterfully simple, ‘though not simplistic’, introduction to the core arguments surrounding Popper, Kuhn and Lakatos, Fisher and Royall, Neyman and Pearson and Bayes. Subsequently, this book clarifies the prevalent misconceptions that surround such theoretical perspectives in psychology today, providing an especially accessible critique for student readers. This book launches an informative inquiry into the methods by which psychologists throughout history have arrived at the conclusions of research, equipping readers with the knowledge to accurately design and evaluate their own research and gain confidence in critiquing results in psychology research. Particular attention is given to understanding methods of measuring the falsifiability of statements, probabilities and the differing views on statistical inference. An illuminating book for any undergraduate psychology student taking courses in critical thinking, research methods, BPS’s core area ‘conceptual and historical issues’ as well as those studying masters, phd’s and experienced researchers.

Wissenschaft Und Methode

Author: Henri Poincaré
Publisher:
ISBN: 9783936532319
Size: 79.79 MB
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I. Forscher und Wissenschaftler: Die Auswahl der Tatsachen / Die Zukunft der Mathematik / Die mathematische Erfindung / Der Zufall II. Die mathematische Schlußweise: Die Relativität des Raumes / Die mathematischen Definitionen und der Unterricht / Mathematik und Logik / Die neue Logik / Die neuesten Arbeiten der Logistiker III. Die neue Mechanik: Mechanik und Radium / Mechanik und Optik / Die neue Mechanik und die Astronomie IV. Die Wissenschaft der Astronomie: Milchstraße und Gastheorie / Die Geodäsie in Frankreich Erläuternde Anmerkungen (von F. Lindemann) "Viele Mathematiker glauben, daß man die Mathematik auf die Gesetze der formalen Logik zurückführen kann. Unerhörte Anstrengungen wurden zu diesem Zwecke unternommen; zur Erreichung des bezeichneten Zieles scheute man sich z.B. nicht, die historische Ordnung in der Entstehung unserer Vorstellungen umzukehren, und man suchte das Endliche durch das Unendliche zu erklären. Für alle, welche das Problem ohne Voreingenommenheit angereifen, glaube ich im folgenden gezeigt zu haben, daß diesem Bestreben eine trügerische Illusion zugrunde liegt. Wie ich hoffe, wird der Leser die Wichtigkeit der Frage verstehen [...]." Henri Poincaré