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9780203861554

The Reviewer's Guide to Quantitative Methods in the Social Sciences

by ;
  • ISBN13:

    9780203861554

  • ISBN10:

    0203861558

  • Edition: 1st
  • Copyright: 2010-02-12
  • Publisher: Taylor & Francis
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Summary

The Reviewer's Guide to Quantitative Methods in the Social Sciences is 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:Thirty-one chapters cover virtually all of the popular classic and emerging quantitative techniques , thus helping reviewers to evaluate a manuscript's methodological approach and it's 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 methodthe next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysisthe 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.

Table of Contents

Analysis of Variance: Between-Groups Designs
Analysis of Variance: Repeated Measures Designs
Canonical Correlation Analysis
Cluster Analysis
Correlation and Other Measures of Association
Discriminant Analysis
Effect Sizes and Confidence Intervals
Factor Analysis: Exploratory and Confirmatory
Generalizability Theory
Hierarchical Linear Modeling
Interrater Reliability
Item Response Theory
Latent Class Analysis
Latent Growth Curve Models
Latent Transition Analysis
Latent Variable Mixture Models
Logistic Regression
Log-Linear Analysis
Meta-Analysis
Multidimensional Scaling
Multiple Regression
Multitrait-Multimethod Analysis
Multivariate Analysis of Variance
Power Analysis
Reliability and Validity of Instruments
Research Design
Single-Subject Design and Analysis
Structural Equation Modeling
Structural Equation Modeling: Multisample Covariance and Mean Structures
Survey Sampling, Administration, and Analysis
Survival Analysis
Table of Contents provided by Publisher. All Rights Reserved.

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