9780199934898-0199934894-The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis (Oxford Library of Psychology)

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis (Oxford Library of Psychology)

ISBN-13: 9780199934898
ISBN-10: 0199934894
Edition: 1
Author: Todd D. Little
Publication date: 2013
Publisher: Oxford University Press
Format: Hardcover 784 pages
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Book details

ISBN-13: 9780199934898
ISBN-10: 0199934894
Edition: 1
Author: Todd D. Little
Publication date: 2013
Publisher: Oxford University Press
Format: Hardcover 784 pages

Summary

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis (Oxford Library of Psychology) (ISBN-13: 9780199934898 and ISBN-10: 0199934894), written by authors Todd D. Little, was published by Oxford University Press in 2013. With an overall rating of 3.9 stars, it's a notable title among other Research (Psychology & Counseling) books. You can easily purchase or rent The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis (Oxford Library of Psychology) (Hardcover) from BooksRun, along with many other new and used Research books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.45.

Description

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to today's complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences.

Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

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