Reading Statistics and Research

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9780065006063: Reading Statistics and Research

Designed for beginning statistics and research courses, this text explains how consumers of research can read, understand and critically evaluate the statistical information contained in technical research reports. The major goals are: to help readers decipher the statistical terminology and notations used by authors of technical reports; and to encourage critical evaluation of the way in which any study is executed - focusing on how data is collected, analyzed and interpreted - so as to determine whether the researcher's conclusions and claims are justified. To achieve this two-fold objective, excerpts from over 500 recent research articles, including tables, figures, and portions of textual material are presented and discussed. Many of the excerpts illustrate conceptual or procedural mistakes that are often made by researchers. This second edition features up-to-date research articles, more detailed coverage of many key topics, including hypothesis testing and examples drawn from a variety of disciplines.

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From the Back Cover:

This text shows students and consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. The text also provides applied researchers with advice on how to analyze their own data and summarize their empirical findings. Students in education and other disciplines need to learn how to interpret and use statistics and research, but often they do not have a way to begin this process. This text clearly and methodically presents basic statistical and research concepts and illustrates how to employ them in making sound educational decisions. Excerpts from more than 500 recent research articles are presented, analyzed and discussed to illustrate concepts while numerous cases, terms and review questions help guide the discussion.

New to this Edition

  • NEW! Over 95% of the Excerpts are new, with the vast majority from 2000-2002 research articles. New Excerpts are discussed throughout the chapters.
  • Thoroughly revised and streamlined to be briefer and more accessible to readers who often have difficulty with challenging topics.
  • Research Edition of this book now incorporates key term icons for further journal research, chapter-by-chapter database activities, an annotated Bibliography, and Themes of the TIMES article connections.

Visit the companion website for this text at www.ablongman.com/huck where you will find chapter outlines, interactive review quizzes, links to interactive websites, a link to the reseach navigator database of journals and more. Related Titles:

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From the Back Cover:

Praised time and time again for its unique, non-intimidating writing style that emphasizes concepts rather than formulas, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text–the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.

 

Distinctive features of this text include:

 

Instructs readers on how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports.

 

Covers key topic areas such as: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM).

 

New mini-topics related to research and statistics are also discussed including: the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test.

 

All 488 boxed excerpts are new and different from any previous edition and feature accounts from the most contemporary research reports out today.

 

New, rewritten chapters include Multivariate Tests (Chapter 19), Factor Analysis (Chapter 20), and Structural Equation Modeling (Chapter 21).

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