000			02138cam a2200289zu 4500
001			88869357
003			FRCYB88869357
005			20250107231840.0
006			m o d
007			cr un
008			250108s2009 fr | o|||||0|0|||eng d
020			_a9781446244104
035			_aFRCYB88869357
040			_aFR-PaCSA _ben _c _erda
100	1		_aWright, Daniel B.
245	0	1	_aModern Regression Techniques Using R _bA Practical Guide _c['Wright, Daniel B.', 'London, Kamala']
264		1	_bSAGE Publications _c2009
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aWright, Daniel B.
700	0		_aLondon, Kamala
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88869357 _qtext/html _a
520			_aStatistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage: www.sagepub.co.uk/wrightandlondon. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter. Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets. The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.
999			_c71832 _d71832