MARC record from Internet Archive

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050 00 $aQA278$b.G433 1993
082 00 $a519.5/35$220
084 $a31.73$2bcl
084 $a70.03$2bcl
100 1 $aGeer, J. P. van de$q(John P.)
245 10 $aMultivariate analysis of categorical data /$cJohn P. van de Geer.
260 $aNewbury Park, CA :$bSage,$c<©1993>
300 $avolumes <2> :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aAdvanced quantitative techniques in the social sciences ;$v2-3
504 $aIncludes bibliographical references (v. 2, pages 116-119) and indexes.
505 0 $av. 1. Theory -- v. 2. Applications.
520 $a"A bonus is the insightful introduction by series editor Jan de Leeuw, putting applied statistics into perspective, blurring the somewhat artificial distinction between exploratory and confirmatory analysis. ... Throughout the volume, strong attention is paid to the practical issues and to limitations of the analytical approaches (e.g., the effects of the number of categories within a variable on the resulting model). This seems especially useful, given that the intended audience includes 'nitty-gritty' users and less theoretically inclined readers. John P. Van de Geer is careful to head off the reader's temptation to base interpretation on the old 'the computer says it, so it must be right' routine, by pointing out easy but faulty conclusions, such as those that might result from interactions and confounding factors."--Elizabeth L. Rose in Structural Equation Modeling Quote for both books "The set would be appropriate for use in a graduate course, with guidance from an instructor who has expertise in this approach to multivariate analysis. The interested researcher will find the set to be very helpful, particularly in terms of developing a coherent and accurate interpretation of the results."--Elizabeth L. Rose in Structural Equation Modeling Nonlinear analysis of categorical variables, that is, a variable that can sort objects into a limited number of distinct groups called "categories" is a useful technique for social scientists, particularly for those who do survey research. This book introduces readers to the application of a particular approach to categorical analysis, the GIFI system or multiple correspondence analysis. Using illustrative examples from a variety of disciplines, Van de Geer shows how to perform these techniques using standard computer programs, such as SPSS. He explains when to use such programs as PRIMALS, HOMALS, ANACORS, PRINCALS, CANALS, and OVERALS, what conditions need to be met for effective use of each program, and how to interpret the results based on the use of each of these programs. Detailed examples are used throughout the book to enable readers to comprehend what is "going on behind" the computer program.
540 $aCurrent Copyright Fee: GBP20.00$c0.$5Uk
650 0 $aMultivariate analysis.
650 2 $aData Interpretation, Statistical
650 2 $aMultivariate Analysis
650 6 $aAnalyse multivariée.
650 7 $aMultivariate analysis.$2fast$0(OCoLC)fst01029105
650 17 $aMultivariate analyse.$2gtt
650 17 $aKwalitatieve gegevens.$2gtt
653 0 $aMultivariate analysis
776 08 $iOnline version:$aGeer, J.P. van de (John P.).$tMultivariate analysis of categorical data.$dNewbury Park, CA : Sage, <c1993>$w(OCoLC)652269798
830 0 $aAdvanced quantitative techniques in the social sciences ;$v2-3.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/enhancements/fy0655/93003706-t.html
856 41 $3Table of contents$uhttp://www.gbv.de/dms/bowker/toc/9780803945647.pdf
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0655/93003706-d.html
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