MARC record from Internet Archive

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100 1 $aKrippendorff, Klaus.
245 10 $aInformation theory :$bstructural models for qualitative data /$cKlaus Krippendorff.
260 $aBeverly Hills, Calif. :$bSage Publications,$c℗♭1986.
300 $a1 online resource (96 pages) :$billustrations.
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490 1 $aQuantitative applications in the social science ;$v62
504 $aIncludes bibliographical references (pages 93-95).
588 0 $aPrint version record.
520 8 $aKrippendorff introduces social scientists to information theory and explains its application for structural modeling. He discusses key topics such as: how to confirm an information theory model; its use in exploratory research; and how it compares with other approaches such as network analysis.
505 0 $aForeword -- 1. Qualitative data -- 2. Selective information -- 3. Entropy, diversity, variety -- 4. Shannon's theory of communication -- Noise and equivocation -- Information transmitted -- Redundancy -- 5. Comparisons of qualitative variates -- Informational distance -- Informational bias -- 6. Structural models -- Parameters -- Composition -- Interactions -- Relations between models: descendency -- Lattices -- 7. Models with and without loops -- 8. Information in models and in data -- 9. Structural zeros -- 10. Degrees of freedom -- 11. The significance of information quantities -- 12. Maximum entropy computations -- Models without loops and without structural zeros -- Models with loops or with structural zeros -- 13. Confirmation -- The goodness of fit of a model -- The amount of information modeled -- The complexity of a model's components -- The contributions a component makes -- The strength of relations (association) -- The amount of interaction -- Strata within models -- 14. Exploration -- Searching for the ordinalities of appropriate models -- Searching for optimum models -- Algebraic techniques -- 15. Comparisons with alternative approaches -- Network and path analyses -- Chi-square -- Analysis of variance -- Log-linear modeling -- The most basic reference possible.
506 $3Use copy$fRestrictions unspecified$2star$5MiAaHDL
533 $aElectronic reproduction.$b[S.l.] :$cHathiTrust Digital Library,$d2010.$5MiAaHDL
538 $aMaster and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.$uhttp://purl.oclc.org/DLF/benchrepro0212$5MiAaHDL
583 1 $adigitized$c2010$hHathiTrust Digital Library$lcommitted to preserve$2pda$5MiAaHDL
506 $aAccess restricted to Ryerson students, faculty and staff.$5CaOTR
546 $aEnglish.
650 0 $aInformation theory.
650 0 $aSocial sciences$xMathematics.
650 6 $aInformation, The orie de l'$xMode les mathe matiques.
650 7 $aCOMPUTERS$xInformation Theory.$2bisacsh
650 7 $aInformation theory.$2fast$0(OCoLC)fst00973149
650 7 $aSocial sciences$xMathematics.$2fast$0(OCoLC)fst01122932
650 17 $aInformatietheorie.$2gtt
650 7 $aInformation, The orie de l'.$2ram
650 7 $aSciences sociales$xMathe matiques.$2ram
650 7 $aInformationstheorie$2gnd
650 7 $aComputer Science.$2hilcc
650 7 $aEngineering & Applied Sciences.$2hilcc
655 4 $aElectronic books.
655 0 $aElectronic books.
776 08 $iPrint version:$aKrippendorff, Klaus.$tInformation theory.$dBeverly Hills, Calif. : Sage Publications, ℗♭1986$z0803921322$w(DLC) 86061611$w(OCoLC)14347593
830 0 $aQuantitative applications in the social sciences ;$vno. 07-062.
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856 41 $uhttp://catdir.loc.gov/catdir/enhancements/fy0654/86061611-t.html$3Table of contents
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