Reading and Understanding More Multivariate Statistics

Author: Laurence G. Grimm
Publisher: Amer Psychological Assn
ISBN: 9781557986986
Format: PDF, ePub, Docs
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This follow up volume, provides a basic understanding of certain multivariate techniques and related topics in measurement guaranteed to increase confidence in reading and understanding the statistics. Chapters demystify the use of cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analyses, and survival analysis.

Statistik Workshop f r Programmierer

Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 3868993436
Format: PDF, ePub
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Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Making Sense of Multivariate Data Analysis

Author: John Spicer
Publisher: SAGE
ISBN: 9781412904018
Format: PDF, Kindle
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′This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research′ _C. Y. Joanne Peng, Indiana University at Bloomington ′This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses′ _Jenn-Yun Tein, Arizona State University

Multivariate Statistical Methods

Author: Bryan F.J. Manly
Publisher: CRC Press
ISBN: 9781584884149
Format: PDF
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Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used. Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web. New in the Third Edition: Fully updated references Additional examples and exercises from the social and environmental sciences A comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginners In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.

Applied Multivariate Research

Author: Lawrence S. Meyers
Publisher: SAGE
ISBN: 141298811X
Format: PDF, ePub
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This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling, it is geared toward the needs, level of sophistication, and interest in multivariate methodology that serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations.

Principles of Research in Behavioral Science

Author: Bernard E. Whitley, Jr.
Publisher: Routledge
ISBN: 1136196587
Format: PDF, ePub, Docs
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Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are often omitted in other texts including correlational and qualitative research and integrative literature reviews. Basic principles are reviewed for those who need a refresher. The focus is on conceptual issues – statistics are kept to a minimum. Featuring examples from all fields of psychology, the book addresses laboratory and field research. Chapters are written to be used independently, so instructors can pick and choose those that fit their course needs. Reorganized to parallel the steps of the research process, tips on writing reports are also provided. Each chapter features an outline, key terms, a summary, and questions and exercises that integrate chapter topics and put theory into practice. A glossary and an annotated list of readings are now included. Extensively updated throughout, the new edition features a new co-author, Mary Kite, and: • New chapters on qualitative research and content analysis and another on integrative literature reviews including meta-analysis, critical techniques for today’s research environment. • A new chapter on exploratory and confirmatory factor analysis that addresses the use of path analysis and structural equation modeling. • A new chapter on how to write a research report using APA style. • Examples from cross-cultural and multi-cultural research, neuroscience, cognitive, and developmental psychology along with ones from social, industrial, and clinical psychology. • More on Internet research and studies. • Greatly expanded Part 3 on research designs with chapters on true experiments, field research, correlational and single-case designs, content analysis, and survey and qualitative research. • A website with PowerPoint slides for each chapter, a test bank with short answer and multiple choice questions, additional teaching resources, and the tables and figures from the book for Instructor’s and chapter outlines, suggested readings, and links to related web sites for students. Intended as a text for beginning graduate and/or advanced undergraduate courses in research methods or experimental methods or design taught in psychology, human development, family studies, education, or other social and behavioral sciences, a prerequisite of undergraduate statistics and a beginning research methods course is assumed.

Principles of Research in Behavioral Science

Author: Bernard E. Whitley (Jr.)
Publisher: Routledge
ISBN: 0415879280
Format: PDF
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Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are often omitted in other texts including correlational and qualitative research and integrative literature reviews. Basic principles are reviewed for those who need a refresher. The focus is on conceptual issues – statistics are kept to a minimum. Featuring examples from all fields of psychology, the book addresses laboratory and field research. Chapters are written to be used independently, so instructors can pick and choose those that fit their course needs. Reorganized to parallel the steps of the research process, tips on writing reports are also provided. Each chapter features an outline, key terms, a summary, and questions and exercises that integrate chapter topics and put theory into practice. A glossary and an annotated list of readings are now included. Extensively updated throughout, the new edition features a new co-author, Mary Kite, and: • New chapters on qualitative research and content analysis and another on integrative literature reviews including meta-analysis, critical techniques for today’s research environment. • A new chapter on exploratory and confirmatory factor analysis that addresses the use of path analysis and structural equation modeling. • A new chapter on how to write a research report using APA style. • Examples from cross-cultural and multi-cultural research, neuroscience, cognitive, and developmental psychology along with ones from social, industrial, and clinical psychology. • More on Internet research and studies. • Greatly expanded Part 3 on research designs with chapters on true experiments, field research, correlational and single-case designs, content analysis, and survey and qualitative research. • A website with PowerPoint slides for each chapter, a test bank with short answer and multiple choice questions, additional teaching resources, and the tables and figures from the book for Instructor’s and chapter outlines, suggested readings, and links to related web sites for students. Intended as a text for beginning graduate and/or advanced undergraduate courses in research methods or experimental methods or design taught in psychology, human development, family studies, education, or other social and behavioral sciences, a prerequisite of undergraduate statistics and a beginning research methods course is assumed.

Robust Multivariate Analysis

Author: David J. Olive
Publisher: Springer
ISBN: 3319682539
Format: PDF, Kindle
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This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author’s website.