000 03367nam a22005295i 4500
001 978-3-642-53965-7
003 DE-He213
005 20200420211742.0
007 cr nn 008mamaa
008 140729s2014 gw | s |||| 0|eng d
020 _a9783642539657
_9978-3-642-53965-7
024 7 _a10.1007/978-3-642-53965-7
_2doi
050 4 _aHF5410-5417.5
072 7 _aKJS
_2bicssc
072 7 _aKJSM
_2bicssc
072 7 _aBUS043000
_2bisacsh
082 0 4 _a658.8
_223
100 1 _aSarstedt, Marko.
_eauthor.
245 1 2 _aA Concise Guide to Market Research
_h[electronic resource] :
_bThe Process, Data, and Methods Using IBM SPSS Statistics /
_cby Marko Sarstedt, Erik Mooi.
250 _a2nd ed. 2014.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXXII, 347 p. 119 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Texts in Business and Economics,
_x2192-4333
505 0 _aPreface -- 1 Introduction to Market Research -- 2 The Market Research Process -- 3 Data -- 4 Getting Data -- 5 Descriptive Statistics -- 6 Hypothesis Testing & ANOVA -- 7 Regression Analysis -- 8 Factor Analysis -- 9 Cluster Analysis -- Index.
520 _aThis accessible, practice-oriented, and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22, and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files, and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22.
650 0 _aBusiness.
650 0 _aMarketing.
650 0 _aManagement.
650 0 _aStatistics.
650 1 4 _aBusiness and Management.
650 2 4 _aMarketing.
650 2 4 _aManagement.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
700 1 _aMooi, Erik.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642539640
830 0 _aSpringer Texts in Business and Economics,
_x2192-4333
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-53965-7
912 _aZDB-2-SBE
942 _cEBK
999 _c50752
_d50752