LEADER 04396nam 22007095 450 001 9910254925803321 005 20200705030422.0 010 $a3-319-42700-8 024 7 $a10.1007/978-3-319-42700-3 035 $a(CKB)3710000000872851 035 $a(DE-He213)978-3-319-42700-3 035 $a(MiAaPQ)EBC6312704 035 $a(MiAaPQ)EBC5577934 035 $a(Au-PeEL)EBL5577934 035 $a(OCoLC)1000428070 035 $a(PPN)222236698 035 $a(EXLCZ)993710000000872851 100 $a20160929d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative Data Analysis$b[electronic resource] $eA Companion for Accounting and Information Systems Research /$fby Willem Mertens, Amedeo Pugliese, Jan Recker 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 164 p. 29 illus., 20 illus. in color.) 311 $a3-319-42699-0 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 606 $aManagement information systems 606 $aStatistics  606 $aComputers 606 $aCorporate governance 606 $aSocial sciences 606 $aBusiness Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/522030 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aCorporate Governance$3https://scigraph.springernature.com/ontologies/product-market-codes/511020 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 615 0$aManagement information systems. 615 0$aStatistics . 615 0$aComputers. 615 0$aCorporate governance. 615 0$aSocial sciences. 615 14$aBusiness Information Systems. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aInformation Systems and Communication Service. 615 24$aCorporate Governance. 615 24$aMethodology of the Social Sciences. 676 $a001.42 700 $aMertens$b Willem$4aut$4http://id.loc.gov/vocabulary/relators/aut$0892051 702 $aPugliese$b Amedeo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRecker$b Jan$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254925803321 996 $aQuantitative Data Analysis$91992242 997 $aUNINA