The Reviewer?s Guide To Quantitative Methods In The Social Sciences: A Guide for Researchers and Reviewers by Gregory R. HancockThe Reviewer?s Guide To Quantitative Methods In The Social Sciences: A Guide for Researchers and Reviewers by Gregory R. Hancock

The Reviewer?s Guide To Quantitative Methods In The Social Sciences: A Guide for Researchers and…

EditorGregory R. Hancock, Ralph O. Mueller

Paperback | February 12, 2010

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The Reviewer¿s Guide to Quantitative Methods in the Social Sciencesis designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique¿s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author¿s reference for preparing sound research manuscripts and proposals.

Key features include:

The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript¿s methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research.

For ease of use, all chapters follow the same structure:

  • the opening page of each chapter defines and explains the purpose of that statistical method
  • the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis
  • the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion.

Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.

Gregory R. Hancockis Professor and Chair of the Department of Measurement, Statistics, and Evaluation at the U. of Maryland and is Director of their Center for Integrated Latent Variable Research.Ralph O. Muelleris Professor and Dean of the College of Education, Nursing and Health Professions at the University of Hartford.
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Title:The Reviewer?s Guide To Quantitative Methods In The Social Sciences: A Guide for Researchers and…Format:PaperbackDimensions:448 pages, 10 × 7 × 1 inPublished:February 12, 2010Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:041596508X

ISBN - 13:9780415965088

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Table of Contents

1. Analysis of Variance: Between-Groups DesignsAlan J. Klockars 2. Analysis of Variance: Repeated Measures DesignsLisa M. Lix and H.J. Keselman 3. Canonical Correlation AnalysisXitao Fan & Timothy R. Konold 4. Cluster AnalysisDena Pastor 5. Correlation and Other Measures of AssociationJason W. Osborne  6. Discriminant Analysis Carl J. Huberty  7. Effect Sizes and Confidence IntervalsGeoff Cumming and Fiona Fidler  8. Factor Analysis: Exploratory and ConfirmatoryDeborah L. Bandalos and Sara J. Finney  9. Generalizability TheoryAmy Hendrickson and Ping Yin  10. Hierarchical Linear ModelingD. Betsy McCoach  11. Interrater ReliabilityWilliam T. Hoyt  12. Item Response TheoryR.J. De Ayala 13.Latent Class AnalysisKaren M. Samuelsen and C. Mitchell Dayton  14.Latent Growth Curve ModelsKristopher J. Preacher  15. Latent Transition AnalysisDavid Rindskopf  16.Latent Variable Mixture ModelsGitta Lubke  17. Logistic RegressionAnn A. O¿Connell and K. Rivet Amico  18.Log-Linear Analysis, Ronald C. Serlin and Michael A. Seaman  19. Meta-AnalysisS. Natasha Beretvas  20.Multidimensional ScalingMark L. Davison, Cody S. Ding and Se-Kang Kim  21.Multiple RegressionKen Kelley and Scott E. Maxwell  22. Multitrait-Multimethod AnalysisKeith F. Widaman  23. Multivariate Analysis of VarianceStephen Olejnik  24. Power AnalysisKevin R. Murphy  25. Reliability and Validity of InstrumentsThomas R. Knapp and Ralph O. Mueller  26. Research DesignSharon A. Dannels  27. Single-Subject Design and AnalysisAndrew L. Egel and Christine H. Barthold  28. Structural Equation ModelingRalph O. Mueller and Gregory R. Hancock  29. Structural Equation Modeling: Multisample Covariance and Mean StructuresRichard G. Lomax  30. Survey Sampling, Administration, and AnalysisLaura M. Stapleton  31. Survival AnalysisPaul D. Allison