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Best Practices in Quantitative Methods

Condition: BRAND NEW
ISBN: 9781412940658
Author(s): Jason Osborne
Format: Hardcover
Year: 2007
Publisher: Sage Publications (CA)
Dimensions: 188 x 256 x 36 (w x l x h)
Pages: 596

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Description:
Best Practices in Quantitative Methods follows the tradition of 'handbooks' in that it calls on the top researchers in the field to share with us what they know. In this case, the focus of the chapters is on best practices for the vast field of quantitative methods. The volume provides readers with the most effective, evidence-based ways to use and analyze quantitative methods and quantitative data across the social and behavioral sciences and education .The text is divided into three main sections: Basics of Best Practices, in which a comprehensive review of basic statistic and methodological practices is covered, including core statistical methods and critical data analysis issues such as power, effect sizes, and assumptions; Advanced Best Practices, leading with logistic regression, and moving through IRT, Rasch Measurement, HLM, Meta-Analysis, and the inimitable area of Sampling; and The Implications of Best Practices, including a discussion of the ethical implications of quantitative analysis. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-rangning examples along with any empirical evidence to show why certain techniques are better.
The book encourages best practices in three very distinct ways: 1) Some chapters will describe important implicit knowledge to readers. For example, one of the most common data
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