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020 _a9781461485940
_9978-1-4614-8594-0
024 7 _a10.1007/978-1-4614-8594-0
_2doi
050 4 _aHD28-70
072 7 _aKJM
_2bicssc
072 7 _aBUS041000
_2bisacsh
082 0 4 _a650
_223
100 1 _aGatignon, Hubert.
_eauthor.
245 1 0 _aStatistical Analysis of Management Data
_h[electronic resource] /
_cby Hubert Gatignon.
250 _a3rd ed. 2014.
260 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2014.
300 _aXV, 563 p. 263 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1: Introduction -- 2: Multivariate Normal Distribution -- 3: Reliability Alpha, Principles Component Analysis and Exploratory Factor Analysis -- 4: Confirmatory Factor Analysis -- 5: Multiple Regression with a Single Dependent Variable -- 6: System of Equations -- 7: Canonical Correlation Analysis -- 8: Categorical Dependent Variables -- 9: Rank-Ordered Data -- 10: Error in Variables – Analysis of Covariance Structure – Structural Equation Models -- 11: Testing Mediation and Moderation Effects -- 12: Cluster Analysis -- 13: Analysis of Similarity and Preference Data -- Appendices: A: Rules in Matrix Algebra -- B: Statistical Tables -- C: Description of Data Sets.
520 _aStatistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications.  It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it.  This third edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, this edition includes: ·         A new chapter on the analysis of mediation and moderation effects ·         Examples using STATA for most of the statistical methods ·         Example of XLSTAT applications   Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.  
650 0 _aEconomics.
650 0 _aEconomics
_xStatistics.
650 0 _aIndustrial management.
650 0 _aMarketing.
650 1 4 _aEconomics/Management Science.
650 2 4 _aManagement/Business for Professionals.
650 2 4 _aMarketing.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461485933
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-8594-0
912 _aZDB-2-SBE
942 _2ddc
_cEBOOK
999 _c2867
_d2867