000 02988cam a2200265 a 4500
008 070515s2008 caua b 001 0 eng
010 _a 2007020488
020 _a9781412940658
040 _aDLC
_cDLC
_dDLC
050 0 0 _aH62
_b.B467 2008
082 0 0 _a001.4/2
_222
245 0 0 _aBest practices in quantitative methods /
_cedited by Jason W. Osborne
260 _aThousand Oaks, Calif. :
_bSage Publications,
_cc2008.
300 _axii, 596 p. :
_bill ;
_c26 cm.
504 _aIncludes bibliographical references and index.
650 0 _aSocial sciences
_xResearch
_xMethodology
650 0 _aSocial sciences
_xMathematical models
700 1 _aOsborne, Jason W.,
_eEditor
520 _aThe contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. 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-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice--or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
520 _aThis edited work is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource to go to for practical and sound advice from leading experts in quantitative methods.
005 20170126093838.0
001 23863
003 UOWD
942 _cREGULAR
999 _c6302
_d6302