The reviewer's guide to quantitative methods in the social sciences

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Title:

Author:

Hancock, Gregory R.

ISBN:

9780415965071

9780415965088

9780203861554

Publication Information:

New York : Routledge, 2010.

Physical Description:

xv, 432 p. : ill. ; 26 cm.

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 and agreement / Item response theory / Latent class analysis / Latent growth curve models / Latent translation 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

Subject Term:

Social sciences -- Research -- Methodology.

Social sciences -- Statistical methods.

Added Author:

Hancock, Gregory R.

Mueller, Ralph O.

Electronic Access:

Inhaltsverzeichnis
Klappentext

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025466984	300.72 H241R 2010	1	Searching... Unknown

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Summary

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.

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.