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000806679 0247_ $$a10.1007/978-3-319-42700-3$$2doi
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000806679 050_4 $$aHD30.2
000806679 08204 $$a658.4038$$223
000806679 1001_ $$aMertens, Willem,$$eauthor.
000806679 24510 $$aQuantitative data analysis :$$ba companion for accounting and information systems research /$$cWillem Mertens, Amedeo Pugliese, Jan Recker.
000806679 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint :$$bSpringer,$$c2017.
000806679 300__ $$a1 online resource (x, 164 pages) :$$billustrations.
000806679 336__ $$atext$$btxt$$2rdacontent
000806679 337__ $$acomputer$$bc$$2rdamedia
000806679 338__ $$aonline resource$$bcr$$2rdacarrier
000806679 347__ $$atext file$$bPDF$$2rda
000806679 5050_ $$aIntroduction -- Comparing differences across groups -- Assessing (innocuous) relationships -- Models with latent concepts and multiple relationships: structural equation modeling -- Nested data and multilevel models: hierarchical linear models -- Analyzing longitudinal and panel data -- Causality: Endogeneity biases and possible remedies -- How to start analyzing, test assumptions, and deal with that pesky p-value -- Keeping track and staying sane.
000806679 506__ $$aAccess limited to authorized users.
000806679 520__ $$aThis book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.
000806679 650_0 $$aBusiness.
000806679 650_0 $$aCorporate governance.
000806679 650_0 $$aManagement information systems.
000806679 650_0 $$aComputers.
000806679 650_0 $$aStatistics.
000806679 650_0 $$aSocial sciences.
000806679 7001_ $$aPugliese, Amedeo,$$eauthor.
000806679 7001_ $$aRecker, Jan,$$eauthor.
000806679 77608 $$iPrint version:$$z9783319426990
000806679 852__ $$bebk
000806679 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-42700-3$$zOnline Access$$91397441.1
000806679 909CO $$ooai:library.usi.edu:806679$$pGLOBAL_SET
000806679 980__ $$aEBOOK
000806679 980__ $$aBIB
000806679 982__ $$aEbook
000806679 983__ $$aOnline
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