9780415965088

The ReviewerĘs Guide to Quantitative Methods in the Social Sciences

by ;
  • ISBN13:

    9780415965088

  • ISBN10:

    041596508X

  • Edition: 1st
  • Format: Nonspecific Binding
  • Copyright: 2010-02-12
  • Publisher: Routledge
  • Purchase Benefits
  • Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $79.70 Save up to $40.84
  • Buy New
    $67.75
    Add to Cart Free Shipping

    IN STOCK USUALLY SHIPS IN 24 HOURS

Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The eBook copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

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.

Author Biography

Gregory R. Hancock is Professor and Chair of the Department of Measurement, Statistics, and Evaluation at the University of Maryland and is Director of their Center for Integrated Latent Variable Research. Ralph O. Mueller is Professor and Dean of the College of Education, Nursing, and Health Professions at the University of Hartford, Connecticut.

Table of Contents

List of Figuresp. x
List of Tablesp. xi
Prefacep. xiii
Acknowledgementsp. xvi
Analysis of Variance: Between-Groups Designsp. 1
Analysis of Variance: Repeated Measures Designsp. 15
Canonical Correlation Analysisp. 29
Cluster Analysisp. 41
Correlation and Other Measures of Associationp. 55
Discriminant Analysisp. 71
Effect Sizes and Confidence Intervalsp. 79
Factor Analysis: Exploratory and Confirmatoryp. 93
Generalizability Theoryp. 115
Hierarchical Linear Modelingp. 123
Interrater Reliability and Agreementp. 141
Item Response Theoryp. 155
Latent Class Analysisp. 173
Latent Growth Curve Modelsp. 185
Latent Transition Analysisp. 199
Latent Variable Mixture Modelsp. 209
Logistic Regressionp. 221
Log-Linear Analysisp. 241
Meta-Analysisp. 255
Multidimensional Scalingp. 265
Multiple Regressionp. 281
Multitrait-Multimethod Analysisp. 299
Multivariate Analysis of Variancep. 315
Power Analysisp. 329
Reliability and Validity of Instrumentsp. 337
Research Designp. 343
Single Subject Design and Analysisp. 357
Structural Equation Modelingp. 371
Structural Equation Modeling: Multisample Covariance and Mean Structuresp. 385
Survey Sampling, Administration, and Analysisp. 397
Survival Analysisp. 413
Lift of Contributorsp. 425
Table of Contents provided by Ingram. All Rights Reserved.

Rewards Program

Customer Reviews

Amazing textbook August 17, 2011
by
This textbook is great for a broad audience. For students, the page long descriptions of statistical methods and why you would want to bother with them are all excellent. I highly recommend this textbook for reviewers and also authors trying to figure out what manuscript reviewers will be looking for.
Flag Review
Please provide a brief explanation for why you are flagging this review:
Submit
Your submission has been received. We will inspect this review as soon as possible. Thank you for your input!
The ReviewerĘs Guide to Quantitative Methods in the Social Sciences: 4 out of 5 stars based on 1 user reviews.

Write a Review