Using Multivariate Statistics

Author: Barbara G. Tabachnick,Linda S. Fidell

Publisher: Allyn & Bacon

ISBN: N.A

Category: Mathematics

Page: 966

View: 519

Practical textbook explaining multivariate statistical techniques.
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Encyclopedia of Research Design

Author: Neil J. Salkind

Publisher: SAGE

ISBN: 1412961270

Category: Philosophy

Page: 1776

View: 6279

"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
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Computer-Aided Multivariate Analysis, Fourth Edition

Author: Abdelmonem Afifi,Susanne May,Virginia A. Clark

Publisher: CRC Press

ISBN: 9781584883081

Category: Mathematics

Page: 512

View: 6265

Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download. The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others. New in the Fourth Edition: Expanded explanation of checking for goodness of fit in logistic regression and survival analysis Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis Expanded discussion of how to handle missing values Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081 Commands and output for examples used in the text for each statistical package are available at the UCLA web site: http://www.ats.ucla.edu/stat/examples/cama4/
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Die Qualität von Angebotssituationen beim Vertrieb von Managementberatungsleistungen

Eine empirische Studie

Author: Michaela Skobranek

Publisher: Springer-Verlag

ISBN: 3834963925

Category: Business & Economics

Page: 455

View: 2110

Michaela Skobranek analysiert Angebotssituationen aus Anbieter- und Nachfragersicht und untersucht empirisch die Frage, welche Faktoren das Qualitätsurteil des Klienten beeinflussen. Im Ergebnis steht ein Qualitätsmodell für Angebotssituationen.
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Externe Referenzpreise

Eine empirisch gestützte verhaltenswissenschaftliche Analyse

Author: Maurice Eschweiler

Publisher: Springer-Verlag

ISBN: 3834906670

Category: Business & Economics

Page: 286

View: 1652

Maurice Eschweiler untersucht, ob Preisanzeigen, die einen externen Referenzpreis (ERP) enthalten, im Vergleich zu Preisanzeigen, in denen der Verkaufspreis nicht durch einen ERP begleitet wird, eine verstärkte Wirkung auf das Käuferverhalten haben. Der Autor beleuchtet den Vergangenheitspreis sowie den neuartigen Wettbewerbspreis auf der Basis von verhaltenswissenschaftlichen Theorien und einer eigenen empirischen Untersuchung.
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Discovering Statistics Using SAS

Author: Andy Field,Jeremy Miles

Publisher: SAGE

ISBN: 1849200912

Category: Reference

Page: 719

View: 7564

Hot on the heels of Andy Field’s best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2. As with its sister textbook, Discovering Statistics Using SAS® takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS®. Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS® software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.
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Multivariate Statistical Methods

A Primer, Fourth Edition

Author: Bryan F.J. Manly,Jorge A. Navarro Alberto

Publisher: CRC Press

ISBN: 1498728995

Category: Mathematics

Page: 269

View: 7362

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
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Basic Statistics in Multivariate Analysis

Author: Karen A. Randolph,Laura L. Myers

Publisher: Oxford University Press

ISBN: 0199982147

Category: Social Science

Page: 256

View: 2979

The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.
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Statistik mit Excel für Dummies

Author: Joseph Schmuller

Publisher: John Wiley & Sons

ISBN: 3527811702

Category: Computers

Page: 535

View: 3306

Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute überall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen für Wahlergebnisse, PISA-Ergebnisse fünfzehnjähriger Schüler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafür brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Für alles gibt es in Excel die passende Funktion und das passende Werkzeug. So können Sie Theorie und Praxis sofort miteinander verbinden.
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Regressionsanalyse: Theorie, Technik und Anwendung

Author: Dieter Urban,Jochen Mayerl

Publisher: Springer-Verlag

ISBN: 3531931148

Category: Social Science

Page: 368

View: 6917

Das Skript erläutert die Durchführung und Interpretation von klassischen Regressionsanalysen (nach der OLS-Methode). Zudem gibt das Skript eine Einführung in die logistische Regressionsanalyse mit Maximum-Likelihood-Schätzverfahren (ML-Methode). In der Darstellung wird insbesondere auf die Überprüfung der Anwendungsvoraussetzungen von Regressionsschätzungen eingegangen. Auch werden typische Fehlschlüsse und häufig anzutreffende Fehlinterpretationen verdeutlicht (u.a. bei Determinationskoeffizienten und standardisierten Regressionskoeffizienten).
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The Psychology Research Handbook

A Guide for Graduate Students and Research Assistants

Author: Frederick T. L. Leong,James T. Austin

Publisher: SAGE

ISBN: 0761930221

Category: Psychology

Page: 516

View: 3553

A comprehensive, easy-to-understand guide to the entire research process, this book quickly and efficiently equips advanced students and research assistants to conduct a full-scale investigation. The book is organized around the idea of a 'research script' that is, it follows the standard mode of research planning and design, data collection and analysis, and results writing. The volume contains 35 chapters, some co-authored by advanced graduate students who give their fellow students a touch of the 'real world' adding to the clarity and practicality of many chapters.
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Quantitative Methods in Educational and Social Research Using SPSS

Author: Andrew Tolmie,Daniel Muijs,Erica McAteer

Publisher: McGraw-Hill Education (UK)

ISBN: 0335240607

Category: Social Science

Page: 324

View: 4486

The aim of this book is to bridge the gap between introductory and more advanced 'technical' books on quantitative methods, helping the reader to progress clearly.
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Handbook of Parametric and Nonparametric Statistical Procedures

Fourth Edition

Author: David Sheskin

Publisher: Chapman and Hall/CRC

ISBN: N.A

Category: Mathematics

Page: 1736

View: 654

The fourth edition of the popular Handbook of Parametric and Nonparametric Statistical Procedures covers 160 of the most commonly used parametric and nonparametric statistical procedures encountered in theory and in practice. Featuring 26 new statistical tests and examples as well as 55 new figures, this edition provides new material on regression diagnostics, including the Durbin-Watson test. The book provides a new section on multivariate analysis with additional information on matrix algebra, uses of Hotellings T2, and multivariate analysis of variance and covariance. Sections on medical statistics, clinical trials, survival analysis, and analysis of censored data are also presented in this edition.
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Applied Multivariate Statistics for the Social Sciences, Fifth Edition

Author: James P. Stevens

Publisher: Routledge

ISBN: 1136910697

Category: Education

Page: 664

View: 6472

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
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Middle Range Theory Development Using King's Conceptual System

Author: Christina Leibold Sieloff, Phd, RN, CNA, BC,Maureen A. Frey, RN, PhD

Publisher: Springer Publishing Company

ISBN: 9780826103307

Category: Medical

Page: 336

View: 2294

Continuing development and testing of propositions and formulations from nursing theory are critical for the continued evolution of nursing science. In this text, the editors and contributors highlight significant work in middle range theory development using King's Conceptual System and Theory of Goal Attainment. Explored in the three sections of this volume are: An overview of the foundations on which middle range theories are built from within King's Conceptual System, including a chapter by Dr. King Presentation of a variety of middle range theories applied to individuals, groups and families, and organizations--from children to the elderly Examination of post-middle range theory development and challenges for further nursing research and education Each chapter has a consistent format and includes a wide-range of perspectives and geographical locations, allowing readers to compare knowledge-building efforts across international lines.
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Companion Reader on Violence Against Women

Author: Claire M. Renzetti,Jeffrey L. Edleson,Raquel Kennedy Bergen

Publisher: SAGE Publications

ISBN: 141299649X

Category: Social Science

Page: 411

View: 618

The Companion Reader on Violence Against Women complements and parallels the new edition of Renzetti, Sourcebook on Violence Against Women. The first part contains four articles relating to theoretical and methodological issues in researching violence against women. The second part is on types of violence against women, and the third part is on prevention and direct intervention. Each article has commentary and discussion questions to add an element of critical thinking.
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Rehabilitation Research - E-Book

Principles and Applications

Author: Russell Carter,Jay Lubinsky,Elizabeth Domholdt

Publisher: Elsevier Health Sciences

ISBN: 0323290965

Category: Medical

Page: 512

View: 8593

Covering the full range of rehabilitation research with a clear, easy-to-understand approach, this resource will help you analyze and apply research to practice. Rehabilitation Research: Principles and Applications examines traditional experimental designs as well as nonexperimental and emerging approaches, including qualitative research, single-system design, outcomes research, and survey research. Clinical case studies and references will enhance your skills as a scientist-practitioner. Written by noted educators Russell Carter and Jay Lubinsky, this book emphasizes evidence-based practice within physical therapy, occupational therapy, and other rehabilitation professions. Discipline-specific examples are drawn from three major fields: physical therapy, occupational therapy, and speech-language pathology. Unique! Coverage of non-experimental research includes chapters on clinical case reports and qualitative research, so you can understand a wide range of research methods and when it is most appropriate to use each type. Expanded Single-Subject Design chapter provides a more thorough explanation and examples of multiple baselines, alternating treatments, and interactions -- designs that can be use in everyday clinical practice. Finding Research Literature chapter includes step-by-step descriptions of literature searches within different rehab professions. Student resources on a companion Evolve website allow you to review important concepts with exercises and discussion questions, research article analyses, and a downloadable spreadsheet. Unique! New Evidence-Based Practice chapter provides an overview of the important concepts of EBP and the WHO model of health and disease. Discussion questions on the companion Evolve website provide you with ideas for further study. Unique! Research article analyses on Evolve provide more in-depth analysis and demonstrate the writing style you should employ. New authors Russell Carter and Jay Lubinsky bring an interdisciplinary focus and a stronger emphasis on evidence-based practice.
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Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 8588

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.
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