LEADER 03099nam 2200613Ia 450 001 9910139563903321 005 20220920182845.0 010 $a1-283-33225-6 010 $a9786613332257 010 $a1-118-13162-2 010 $a1-118-13161-4 010 $a1-118-13159-2 035 $a(CKB)2550000000063611 035 $a(EBL)693223 035 $a(OCoLC)769189115 035 $a(SSID)ssj0000539326 035 $a(PQKBManifestationID)11965850 035 $a(PQKBTitleCode)TC0000539326 035 $a(PQKBWorkID)10585201 035 $a(PQKB)11697536 035 $a(MiAaPQ)EBC693223 035 $a(Au-PeEL)EBL693223 035 $a(CaPaEBR)ebr10510320 035 $a(CaONFJC)MIL333225 035 $a(EXLCZ)992550000000063611 100 $a20110428d2012 uy 0 101 0 $aeng 135 $aur|n#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultivariate analysis for the biobehavioral and social sciences /$fBruce L. Brown [et al.] 210 $aHoboken, N.J. $cWiley$dc2012 215 $a1 online resource (xiv, 475 pages) $cillustrations 300 $aDescription based upon print version of record. 311 1 $a0-470-53756-6 320 $aIncludes bibliographical references and index. 327 $aOverview of Multivariate and Regression Methods -- The Seven Habits of Highly Effective Quants: A Review of Elementary Statistics Using Matrix Algebra -- Fundamentals of Matrix Algebra -- Factor Analysis and Related Methods: Quintessentially Multivariate -- Multivariate Graphics -- Canonical Correlation: The Underused Method -- Hotelling's as the Simplest Case of Multivariate Inference -- Multivariate Analysis of Variance -- Multiple Regression and the General Linear Model -- Appendices: Statistical Tables -- Name Index -- Subject Index. 330 $aMultivariate Analysis for the Social Sciences provides clear guidelines combined with the insight needed to understand the methods and applications of multivariate statistics. This easy-to-follow book provides students in social, behavioral, and health science-whose focus is not primarily in mathematics-with an abundance of chapter-ending questions and answers, including: conceptual questions about the meaning of each method; questions that test the reader's ability to carry out the computational procedures on simple datasets; and data analysis questions for using analytical packages to analyze both simplest case data and also to practice with more realistic datasets. 606 $aSocial sciences$xStatistical methods 606 $aMultivariate analysis 608 $aElectronic books. 615 0$aSocial sciences$xStatistical methods. 615 0$aMultivariate analysis. 676 $a300.1/519535 686 $aMAT029020$2bisacsh 700 $aBrown$b Bruce$g(Bruce L.)$0160564 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139563903321 996 $aMultivariate analysis for the biobehavioral and social sciences$91975513 997 $aUNINA LEADER 06376nam 22006735 450 001 9910571783403321 005 20251009100435.0 010 $a9783030961800 010 $a303096180X 024 7 $a10.1007/978-3-030-96180-0 035 $a(CKB)5700000000087777 035 $aEBL6996383 035 $a(AU-PeEL)EBL6996383 035 $a(MiAaPQ)EBC6996383 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84382 035 $a(DE-He213)978-3-030-96180-0 035 $a(ODN)ODN0010072209 035 $a(oapen)doab84382 035 $a(EXLCZ)995700000000087777 100 $a20220520d2022 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Perspectives in Critical Data Studies $eThe Ambivalences of Data Power /$fedited by Andreas Hepp, Juliane Jarke, Leif Kramp 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (480 p.) 225 1 $aTransforming Communications ? Studies in Cross-Media Research,$x2730-9339 300 $aDescription based upon print version of record. 311 08$a9783030961794 311 08$a3030961796 327 $aNew Perspectives in Critical Data Studies: The Ambivalences of Data Power?An Introduction -- Part I Global Infrastructures and Local Invisibilities -- Data Power and Counter-power with Chinese Characteristics -- Transnational Networks of Influence: The Twitter Presence of the Quantified Self and Maker Movements? Organizational Elites -- The Power of Data Science Ontogeny: Thick Data Studies on the Indian IT Skill Tutoring Microcosm -- Fighting the ?System?: A Pilot Project on the Opacity of Algorithms in Political Communication -- Indigenous Peoples, Data, and the Coloniality of Surveillance -- Part II State and Data Justice -- The Datafied Welfare State: A Perspective from the UK -- The Value Dynamics of Data Capitalism: Cultural Production and Consumption in a Datafied World -- Mapping Data Justice as a Multidimensional Concept Through Feminist and Legal Perspectives -- Reconfiguring Education Through Data: How Data Practices Reconfigure Teacher Professionalism and Curriculum -- Public Values and Technological Change: Mapping how Municipalities Grapple with Data Ethics -- Welfare Data Society? Critical Evaluation of the Possibilities of Developing Data Infrastructure Literacy from User Data Workshops to Public Service Media -- Part III Everyday Practices and Collective Action -- (Not) Safe to Use: Insecurities in Everyday Data Practices with Period-Tracking Apps -- Community Rankings and Affective Discipline: The Case of Fandometrics -- Affinity Spaces as an Analytical Lens for Attending to Temporality in Critical Data Studies: The Case of COVID-19-Related, Educational Twitter Communication -- ?Party like it?s December 31, 1983?: Supporting Data Literacy at CryptoParties -- Researching Public Trust in Datafication: Reflections on the Deliberative Citizen Jury as Method -- Worker Perspectives on Designs for a Crowdwork Co-operative -- Counting, Debunking, Making, Witnessing, Shielding: What Critical Data Studies Can Learn from Data Activism During the Pandemic. 330 $aThis Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the resources and arrangements required to operate and run them. Secondly, the book examines ambivalences between the state and data justice. It considers data justice in relation to state surveillance and data capitalism, and reflects on the ambivalences between an ?entrepreneurial state? and a ?welfare state?. Thirdly, the authors discuss ambivalences of everyday practices and collective action, in which civil society groups, communities, and movements try to position the interests of people against the ?big players? in the tech industry. The book includes eighteen chapters that provide new and varied perspectives on the role of data and data infrastructures in our increasingly datafied societies. Andreas Hepp is Professor of Media and Communications and Head of ZeMKI, Centre for Media, Communication and Information Research, University of Bremen, Germany. He is the author of 12 monographs including The Mediated Construction of Reality (with Nick Couldry, 2017), Transcultural Communication (2015) and Cultures of Mediatization (2013). Juliane Jarke is a senior researcher at the Institute for Information Management Bremen (ifi b) and Centre for Media, Communication and Information Research (ZeMKI) at the University of Bremen, Germany. Jarke co-edited The Datafication of Education (with Andreas Breiter, 2019) and Probes as Participatory Design Practice (with Susanne Maaß, 2018). Leif Kramp is a post-doctoral media, communication and history scholar and Research Coordinator of the Centre for Media, Communication and Information Research at the University of Bremen (ZeMKI), Germany. 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