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Reviewer’s Guide to Quantitative Methods in the Social Sciences

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Academic Measurement
Category=JHBC
CFA Model
Data Analysis
Data Model Fit Indices
Education Research
Effect Size Estimates
Effect Size Measures
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Equations
FWER
Hancock
Interaction Contrasts
Latent Class Models
Latent Class Proportions
Latent Growth Curve Model
Latent Variables
Manifest Variables
Methodological
Missing Data
Model Data Fit
Modeling
Mueller
Multiple Imputation
Observed Variables
Path Diagrams
Poor Data Model Fit
Propensity Scores
Proximity Measure
Quantitative Methods
Random Assignment
Regression Models
Reliability
Research Design
Reviewers
Social Sciences
Statistics
Structural Equation Modeling
Structure Coefficients
Variable Research
Variance Components
Winsorized Variances

Product details

  • ISBN 9781138800137
  • Weight: 911g
  • Dimensions: 178 x 254mm
  • Publication Date: 19 Nov 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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.
About

Gregory R. Hancock is Professor, Distinguished Scholar-Teacher, and Director of the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland, as well as Director of their Center for Integrated Latent Variable Research.

Laura M. Stapleton is Professor in the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland.

Ralph O. Mueller is Vice Chancellor for Academic Affairs and Provost at Purdue University Northwest.