ABSTRACT

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 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 second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.

chapter 1|14 pages

Analysis of Variance

Between-Groups Designs

chapter 2|14 pages

Analysis of Variance

Repeated-Measures Designs

chapter 4|13 pages

Cluster Analysis

chapter 8|25 pages

Factor Analysis

Exploratory and Confirmatory

chapter 9|9 pages

Generalizability Theory

chapter 13|15 pages

Latent Growth Curve Models

chapter 14|9 pages

Latent Transition Analysis

chapter 15|12 pages

Latent Variable Mixture Models

chapter 17|13 pages

Log-Linear Analysis

chapter 18|12 pages

Mediation and Moderation

chapter 19|9 pages

Meta-analysis

chapter 21|15 pages

Multidimensional Scaling

chapter 22|21 pages

Multilevel Modeling

chapter 23|18 pages

Multiple Regression

chapter 26|18 pages

Nonparametric Statistics

chapter 27|8 pages

Power Analysis

chapter 30|15 pages

Research Design

chapter 32|11 pages

Social Network Analysis

chapter 34|10 pages

Structural Equation Modeling

Multisample Covariance and Mean Structures