By Adalbert F.X. Wilhelm, Hans A. Kestler (eds.)
This e-book deals a photograph of the state of the art in type on the interface among facts, machine technology and alertness fields. The contributions span a wide spectrum, from theoretical advancements to useful purposes; all of them percentage a robust computational part. the subjects addressed are from the subsequent fields: data and knowledge research; computing device studying and data Discovery; facts research in advertising and marketing; information research in Finance and Economics; facts research in drugs and the lifestyles Sciences; facts research within the Social, Behavioural, and health and wellbeing Care Sciences; information research in Interdisciplinary domain names; category and topic Indexing in Library and data technology.
The booklet provides chosen papers from the second one eu convention on information research, held at Jacobs collage Bremen in July 2014. This convention unites various researchers within the pursuit of a standard subject, growing actually designated synergies within the process.
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Additional info for Analysis of Large and Complex Data
Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 100, 305–314. Borsboom, D. (2008). Latent variable theory. Measurement, 6, 25–53. , Mellenbergh, G. , & Van Heerden, J. (2003). The theoretical status of latent variables. Psycholological Review, 110, 203–219. , Mellenbergh, G. , & Van Heerden, J. (2004). The concept of validity. Psychological Review, 111(4), 1061–1071. Cadogan, J. , & Lee, N. (2013). Improper use of endogenous formative variables.
Whittington, J. (2008). The triple aim: Care, health, and cost. Health Affairs (Project Hope), 27(3), 759–769. 10 For further details see Reime et al. (2014). 28 A. Pimperl et al. Bissantz, N. (2010). Bella berät: 75 Regeln für bessere Visualisierung. Nürnberg: Bissantz & Company. Business Application Research Center (BARC). (2013). Merck und OptiMedis gewinnen den BARC best practice award 2013. de/ content/news/merck-und-optimedis-gewinnen-den-barc-best-practice-award-2013 Donabedian, A. (2005).
Comment on “improper use of endogenous formative variables”. Journal of Business Research, 67, 2800–2802. Ringle, C. , & Strabub, D. W. (2012). A critical look at the use of PLS-SEM in MIS quarterly. MIS Quarterly, 36(1), 3–14. Sagan, A. (2013). Market research and preference data. In M. A. Scott, J. S. Simonoff, & B. D. ), The SAGE handbook of multilevel modeling (pp. 581–598). Los Angeles/London/Singapore: Sage. Salzberger, T. (2009). Measurement in marketing research: An alternative framework.
Analysis of Large and Complex Data by Adalbert F.X. Wilhelm, Hans A. Kestler (eds.)