000			04290cam a2200349 a 4500
001			17135505
005			20170719020003.0
008			120126s2012 nyua b 001 0 eng
010			_a 2011053126
020			_a9780415880077
040			_aDLC _cDLC _dDLC
042			_apcc
050	0	0	_aQA276.12 _b.L66 2012
082	0	0	_a519.5 _223 _bLOM-S
084			_aPSY032000 _aEDU027000 _aSOC027000 _2bisacsh
100	1		_aLomax, Richard G.
245	1	0	_aStatistical concepts : _ba second course _cRichard G. Lomax and Debbie L. Hahs-Vaughn.
250			_a4th ed.
260			_aNew York, NY : _bRoutledge Academic, _c2012.
300			_axv, 516 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references and indexes.
504			_aIncludes bibliographical references and index.
520			_a"Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics it is one of the few texts that focuses just on intermediate statistics. The flexible coverage allows instructors to select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included.In addition to updating throughout, the new edition features:New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award.A new chapter on logistic regression models for today's more complex methodologies.More on computing confidence intervals and conducting power analyses using G*Power.Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results.Extended sections on how to write-up statistical results in APA format.New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries.More tables of assumptions and the effects of their violation including how to test them in SPSS.33% new conceptual, computational, and all new interpretative problems.A website that features Power Points, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more.Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Stop and Think Boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are in the book.The first six chapters cover the basic and advanced analysis of variance models. The next three examine linear, multiple, and logistic regression models, topics that are often neglected in other texts.Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Audimentary knowledge of algebra and introductory statistics is assumed. "--
650		0	_aStatistics.
650		7	_aPSYCHOLOGY / Statistics. _2bisacsh
650		7	_aEDUCATION / Statistics. _2bisacsh
650		7	_aSOCIAL SCIENCE / Statistics. _2bisacsh
700	1		_aHahs-Vaughn, Debbie L.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _03
999			_c9903 _d9903