ABSTRACT

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:

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.

chapter 3|12 pages

Canonical Correlation Analysis

chapter 4|14 pages

Cluster Analysis

chapter 6|8 pages

Discriminant Analysis

chapter 7|14 pages

Effect Sizes and Confidence Intervals

chapter 9|8 pages

Generalizability Theory

chapter 10|18 pages

Hierarchical Linear Modeling

chapter 11|14 pages

Interrater Reliability and Agreement

chapter 12|18 pages

Item Response Theory

chapter 13|12 pages

Latent Class Analysis

chapter 14|14 pages

Latent Growth Curve Models

chapter 15|10 pages

Latent Transition Analysis

chapter 16|12 pages

Latent Variable Mixture Models

chapter 17|20 pages

Logistic Regression

chapter 18|14 pages

Log-Linear Analysis

chapter 19|10 pages

Meta-Analysis

chapter 20|16 pages

Multidimensional Scaling

chapter 21|18 pages

Multiple Regression

chapter 22|16 pages

Multitrait-Multimethod Analysis

chapter 23|14 pages

Multivariate Analysis of Variance

chapter 24|8 pages

Power Analysis

chapter 25|6 pages

Reliability and Validity of Instruments

chapter 26|14 pages

Research Design

chapter 27|14 pages

Single Subject Design and Analysis

chapter 28|14 pages

Structural Equation Modeling

chapter 31|12 pages

Survival Analysis