000			02815cam a22003378i 4500
001			22100498
005			20240319104107.0
008			210624s2022 enk b 001 0 eng
010			_a 2021026580
020			_a9781032052199 _q(paperback)
020			_a9781032052182 _q(hardback)
020			_z9781003196617 _q(ebook)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aHF5415.125 _b.M473 2022
082	0	0	_a658.8/342 _223
100	1		_aMesquita, José Marcos Carvalho de, _eauthor.
245	1	0	_aMarketing analytics _b: statistical tools for marketing and consumer behaviour using SPSS _c/ José Marcos Carvalho de Mesquita and Erik Kostelijk.
264		1	_aAbingdon, Oxon ; _aNew York, NY : _bRoutledge, _c2022.
300			_a210 pages
490	0		_aBusiness analytics
504			_aIncludes bibliographical references and index.
505			_a1. Creating and examining databases in SPSS 2. Introduction to exploratory data analysis 3. Analysis of variance 4. Regression analysis 5. Time series analysis 6. Discriminant analysis 7. Cluster analysis 8. Exploratory factor analysis (EFA) 9. Confirmatory factor analysis (CFA) 10. Structural equation modelling (SEM)
520			_a"Marketing Analytics provides guidelines in the application of statistics using SPSS for students and professionals studying quantitative methods in Marketing and Consumer Behaviour. With simple language and a practical, screenshot-led approach, the book presents eleven multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises, which require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics, by means of SPSS, in marketing and consumer research. Finally, there is a list of articles employing the technique, which can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real datasets to illustrate the techniques' applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes"-- _cProvided by publisher.
630	0	0	_aSPSS (Computer file)
650		0	_aMarketing _xStatistical methods.
650		0	_aMarketing _xData processing.
700	1		_aKostelijk, Erik, _eauthor.
942			_2lcc _c1
999			_c3597 _d3597
041			_aEnglish