Analysis of Qualitative Data: Linear Functions
AUTOR(ES)
Johnson, William D.
RESUMO
A procedure is described for fitting linear models to categorical data obtained by stratified random sampling. The method makes it possible to compute estimates of variance and to test certain types of hypotheses not testable for such data by the usual chisquare methods. Details of the method are illustrated in application to data from a survey of hospitals with regard to implementation of and satisfaction with a service program.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1067289Documentos Relacionados
- Analysis of laboratory intercomparison data: a matter of independence
- Exploring Expression Data: Identification and Analysis of Coexpressed Genes
- Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer
- Ulcerogenicity of piroxicam: an analysis of spontaneously reported data: : Authors' reply
- Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect