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  • Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results by Larry Hatcher book cover
  • Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results by Larry Hatcher book cover
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Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results

by Larry Hatcher

A guide to reading and reporting research statistics

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AlbakiReads Editorial

A guide to reading and reporting research statistics

Larry Hatcher’s book focuses on interpreting statistical results as they appear in research articles and reports, not on carrying out the procedures themselves. It starts with research design and foundational concepts such as averages, variability, z scores, and the normal curve, then introduces methods including regression, analysis of variance, factor analysis, and structural equation modeling. The chapters also address statistical significance, confidence intervals, and effect size. For the reporting stage, the book covers presenting findings in text, tables, and figures using APA format, from basic descriptive statistics to more advanced analyses. Supplementary materials are available through a companion website.

Good fit for readers who enjoy

  • Graduate students and upper-level undergraduates studying research or statistics
  • Investigators who need a reference for interpreting published data analyses
  • Readers seeking an introduction to understanding statistical results without learning how to run the procedures

Themes

Interpreting statistical analysesResearch design and foundational statisticsReporting results in APA format

Based on publisher information and book metadata.

Book overview

Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles.

wwwStatsInResearch.com, is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors.

Advanced Statistics in Research does not show how to perform statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more.

Advanced Statistics in Research assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples.

Need help writing up your results? Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more).

Advanced Statistics in Research is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.

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