LEADER 04071nam 22006852 450 001 9910783312803321 005 20151005020623.0 010 $a1-107-12755-6 010 $a1-280-41726-9 010 $a9786610417261 010 $a1-139-14563-0 010 $a0-511-18067-5 010 $a0-511-06594-9 010 $a0-511-05963-9 010 $a0-511-32640-8 010 $a0-511-49953-1 010 $a0-511-06807-7 035 $a(CKB)1000000000030812 035 $a(EBL)217833 035 $a(OCoLC)70753838 035 $a(SSID)ssj0000104729 035 $a(PQKBManifestationID)11133476 035 $a(PQKBTitleCode)TC0000104729 035 $a(PQKBWorkID)10079212 035 $a(PQKB)10557733 035 $a(UkCbUP)CR9780511499531 035 $a(Au-PeEL)EBL217833 035 $a(CaPaEBR)ebr10069060 035 $a(CaONFJC)MIL41726 035 $a(MiAaPQ)EBC217833 035 $a(PPN)183062426 035 $a(EXLCZ)991000000000030812 100 $a20090309d2002|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplied latent class analysis /$fedited by Jacques A. Hagenaars, Allan L. McCutcheon$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2002. 215 $a1 online resource (xxii, 454 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-10405-X 311 $a0-521-59451-0 320 $aIncludes bibliographical references and indexes. 327 $aPreface / Jacques A. Hagenaars and Allan L. McCutcheon -- 1. Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures / Leo A. Goodman -- 2. Basic Concepts and Procedures in Single- and Multiple-Group Latent Class Analysis / Allan L. McCutcheon -- 3. Latent Class Cluster Analysis / Jeroen K. Vermunt and Jay Magidson -- 4. Some Examples of Latent Budget Analysis and Its Extensions / Peter G.M. van der Heijden, L. Andries van der Ark and Ab Mooijaart -- 5. Ordering the Classes / Marcel Croon -- 6. Comparison and Choice: Analyzing Discrete Preference Data by Latent Class Scaling Models / Ulf Bockenholt -- 7. Three-Parameter Linear Logistic Latent Class Analysis / Anton K. Formann and Thomas Kohlmann -- 8. Use of Categorical and Continuous Covariates in Latent Class Analysis / C. Mitchell Dayton and George B. Macready -- 9. Directed Loglinear Modeling with Latent Variables: Causal Models for Categorical Data with Nonsystematic and Systematic Measurement Errors / Jacques A. Hagenaars -- 10. Latent Class Models for Longitudinal Data / Linda M. Collins and Brian P. Flaherty -- 11. Latent Markov Chains / Rolf Langeheine and Frank van de Pol -- 12. A Latent Class Approach to Measuring the Fit of a Statistical Model / Tamas Rudas -- 13. Mixture Regression Models / Michel Wedel and Wayne S. DeSarbo -- 14. A General Latent Class Approach to Unobserved Heterogeneity in the Analysis of Event History Data / Jeroen K. Vermunt -- 15. Latent Class Models for Contingency Tables with Missing Data / Christopher Winship, Robert D. Mare and John Robert Warren. 330 $aApplied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research. 606 $aLatent structure analysis 606 $aLatent variables 615 0$aLatent structure analysis. 615 0$aLatent variables. 676 $a519.5/35 702 $aHagenaars$b Jacques A. 702 $aMcCutcheon$b Allan L.$f1950- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910783312803321 996 $aApplied latent class analysis$93678633 997 $aUNINA LEADER 01320nam 2200445 450 001 9910796995903321 005 20230807194350.0 010 $a1-4677-8756-6 035 $a(CKB)4100000005115865 035 $a(Au-PeEL)EBL5444290 035 $a(CaPaEBR)ebr11590158 035 $a(OCoLC)1044921954 035 $a(MiAaPQ)EBC5444290 035 $a(EXLCZ)994100000005115865 100 $a20200120d2015 uy 1 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Christmas carol $ea ghost story of Christmas /$fby Charles Dickens ; with illustrations by John Leech 210 1$aMinneapolis, MN :$cFirst Avenue Editions, A division of Lerner Publishing Group, Inc.,$d[2015] 210 4$dİ2015 215 $a1 online resource 225 1 $aFirst Avenue classics 410 0$aFirst Avenue classics. 606 $aChristmas stories 606 $aMisers$vFiction 615 0$aChristmas stories. 615 0$aMisers 676 $a813.54 700 $aDickens$b Charles$f1812-1870,$0154882 702 $aLeech$b John$f1817-1864, 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910796995903321 996 $aChristmas carol$913136 997 $aUNINA LEADER 02628nam 22004335 450 001 9910337816103321 005 20220119214857.0 010 $a3-030-16107-2 024 7 $a10.1007/978-3-030-16107-1 035 $a(CKB)4100000008707677 035 $a(MiAaPQ)EBC5829330 035 $a(DE-He213)978-3-030-16107-1 035 $a(PPN)23848887X 035 $a(EXLCZ)994100000008707677 100 $a20190715d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aToward a better understanding of rule-breaking market behavior $einsights from performance breakthroughs in sports /$fby Ann-Kathrin Veenendaal 210 1$aCham :$cSpringer,$d[2019] 215 $a1 online resource 225 1 $aContributions to Management Science,$x1431-1941 311 $a3-030-16106-4 327 $aRelevance and Current Perspectives -- Conceptual and Empirical Exploration -- Toward a Rule-Breaking Managerial Framework -- General Discussion -- Appendix. 330 $aThis book analyzes how companies and employees can endogenously, i.e., without hiring external experts or consultants, achieve competitive advantages by deviating from behavioral standards in a productive way. The study explores eight transformative behavioral innovations that shaped the development of sports and, by analogy, uses the findings to advance solutions for prevalent problems in business. By developing triggers to creativity and applying mechanisms on how to overcome innovation resistance, the book gives concrete advice on how to manage the difficult quest of human transformation beyond the imperative of technological innovation. An original explication of the when and how rule-breaking innovations actually succeed. Using examples from sport, Dr. Veenendaal perceptively distinguishes the attention-grabbing aspect of an innovation from the subsequent struggle for its widespread acceptance. The question now is which managers will be the first to apply the book?s insights to their own innovation challenges. Prof. J. Edward Russo, Cornell University, Ithaca, NY, USA. 410 0$aContributions to management science. 606 $aConsumer behavior 606 $aMotivation research (Marketing) 615 0$aConsumer behavior. 615 0$aMotivation research (Marketing) 676 $a658.8342 676 $a658.834 700 $aVeenendaal$b Ann-Kathrin$0954550 906 $aBOOK 912 $a9910337816103321 996 $aToward a Better Understanding of Rule-Breaking Market Behavior$92159150 997 $aUNINA