000			02562cam a22002898i 4500
003			PIMLIB
005			20240902110649.0
008			240902b2023 nju b 001 0 eng
010			_a2022061191
020			_a9780367219703 _q(hardback)
020			_a9780367219727 _q(paperback)
020			_z9780429269103 _q(ebook)
042			_apcc
050	0	0	_aQA278 _b.H349E _y2023
100			_aHarlow, Lisa Lavoie, _d1951- _9100857
245	1	4	_aThe essence of multivariate thinking / _cLisa L. Harlow.
250			_aThird Edition.
264		1	_aNew York, NY : _bRoutledge, _c2023.
300			_a363 pages
490	0		_aMultivariate applications series
500			_aRevised edition of the author's The essence of multivariate thinking, 2014.
504			_aIncludes bibliographical references and index.
520			_a"Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts. The book continues to highlight the main themes that run through just about every quantitative method, describing the statistical features in clear language. Analyzed examples are presented in 12 of the 15 chapters, showing when and how to use relevant multivariate methods, and how to interpret the findings both from an overarching macro- and more specific micro-level approach that includes focus on statistical tests, effect sizes and confidence intervals. This revised 3rd edition offers thoroughly revised and updated chapters to bring them in line with current information in the field, the addition of R code for all examples, continued SAS and SPSS code for seven chapters, two new chapters on structural equation modeling (SEM) on multiple sample analysis (MSA) and latent growth modeling (LGM), and applications with a large longitudinal dataset in the examples of all methods chapters. Of interest to those seeking clarity on multivariate methods often covered in a statistics course for first-year graduate students or advanced undergraduates, this book will be key reading and provide greater conceptual understanding and clear input on how to apply basic and SEM multivariate statistics taught in psychology, education, human development, business, nursing, and other social and life sciences"-- _cProvided by publisher.
650		0	_aMultivariate analysis.
650		0	_aPsychology _xMathematical models.
942			_2lcc _cBK _n0
999			_c1001248 _d1001248