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dc.creatorPrzybysz, Dariusz
dc.date.accessioned2015-06-01T14:45:00Z
dc.date.available2015-06-01T14:45:00Z
dc.date.issued2004
dc.identifier.citationAsk: Research and Methods. Volume 13, Issue 1 (2004), pp. 51-85en_US
dc.identifier.issn1234-9224
dc.identifier.urihttp://hdl.handle.net/1811/69534
dc.description.abstractThe paper presents an analysis of association in a contingency table using log-linear models. The focus is made on situation when at least one of variables is measured on an ordinal scale. I formulate hypotheses in terms of log-linear models, various parametrizations of these models and methods of testing them. In presentation of this approach I refer to data coming from the Polish edition of European Social Survey carried out in 2002. These examples show, that making use of information about ordering of categories of one, or more variables, gives an opportunity to formulate model, which fits data well.en_US
dc.language.isoenen_US
dc.language.isoplen_US
dc.publisherIFiS Publishersen_US
dc.rightsThis item may be protected by copyright, and is made available here for research and educational purposes. The user is responsible for making a final determination of copyright status. If copyright protection applies, permission must be obtained from the copyright holder to reuse, publish, or reproduce the object beyond the bounds of Fair Use or other exemptions to the law. We are eager to hear from any copyright holders who are not properly identified.en_US
dc.titleModele logarytmiczno-liniowe dla zmiennych porządkowych. Przykłady zastosowaniaen_US
dc.title.alternativeLog-linear models for ordinal data. Some examplesen_US
dc.typeArticleen_US


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