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Introduction to analysis of variance design, analyis & interpretation J Rick Turner and Julian Thayer.

Por: Colaborador(es): Detalles de publicación: London SAGE 2001.Descripción: 208 pISBN:
  • 0803970749
  • 0803970757 (pbk)
Tema(s): Clasificación CDD:
  • 519.538 T944i 21
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Descripciones mejoradas de Syndetics:

Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here′s a new book that does all this in a particularly readable fashion. Turner and Thayer′s text: Shows how to design an experiment in the best possible way to investigate the topic of interest Explains which associated analysis will best answer your research question Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question

Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports.

Tabla de contenidos provista por Syndetics

  • Introduction
  • The Need for Analysis of Variance (ANOVA)
  • Means, Variances, Sums of Squares and Degrees of Freedom
  • Independent Group ANOVAs
  • One-Factor Independent Groups ANOVA
  • Multiple Comparisons: Independent Groups t-Tests
  • Two-Factor Independent Groups ANOVA
  • Repeated Measures ANOVAs
  • One-Factor Repeated Measures ANOVA
  • Multiple Comparisons: Dependent Measures t-Tests
  • Two-Factor Mixed Measures ANOVA
  • Two-Factor Repeated Measures ANOVA
  • Overview and Final Thoughts
  • Some Tips for Tests on ANOVA
  • Every Day Benefits of a Feel for Statistics and for Evaluating Data

Reseñas proporcionadas por Syndetics

CHOICE Review

Offering very thorough coverage of analysis of variance (ANOVA), Turner and Thayer's concise book provides readers with an excellent explanation of the different types of designs appropriate for ANOVA techniques. The authors emphasize the importance of using calculators and getting a "hands-on" feel for how the ANOVA is constructed before generating results from large sets of data with a computer. An explanation of how the data analysis should be done and how the results should be analyzed is also emphasized with terminology to refresh readers on items they may have forgotten. There is detailed background coverage of one-factor and two-factor independent groups, analysis of variance, multiple comparisons, and one-factor and two-factor mixed-measures analysis of variance. Summary sections, key concept boxes, and exercises enhance the use of this book. Highly recommended for undergraduates. D. J. Gougeon University of Scranton

Notas de autor provistas por Syndetics

Rick Turner is an experimental psychologist who has spent 15 years conducting research in the field of cardiovascular behavioral medicine, investigating the effects of stress on the cardiovascular system and the possible role of stress-induced responses in the development of cardiovascular disease.
Julian Thayer is currently employed as a Special Expert by the National Institute on Aging.
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