000			02006cam a2200265 i 4500
999			_c34170 _d34170
001			000061362469
008			210901b xxu||||| |||| 00| 0 eng d
020			_a9781462534654
040			_aUOWD
082			_a001.422 HA IN
100	1		_aHayes, Andrew F. _919057
245	1	0	_aIntroduction to mediation, moderation, and conditional process analysis : _ba regression-based approach ; Series editor's by Todd D. Little _cAndrew F. Hayes
250			_a2nd ed.
260			_aNew York : _bGuilford Publications, _cc2018.
300			_axx, 692 p. : _bill. ; _c27 cm.
490	1		_aMethodology in the Social Sciences
500			_aDescription based upon print version of record.
520			_aLauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS.
650		0	_aSocial sciences _xStatistical methods _96186
650		0	_aMediation (Statistics) _919058
650		0	_aRegression analysis _910679
856	4		_uhttps://ebookcentral.proquest.com/lib/UOW/detail.action?docID=5109647 _zAccess electronically
856	4		_uhttps://uowd.box.com/s/p95kqo6z1xe76ufxb0j0kza5dho3mqfi _zLocation Map
942			_2ddc _cREGULAR