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Leisure time patterns of children with and without disabilities: a cross-sectional latent class analysis. [PDF]
Front Sports Act LivingMøller-Skau C +3 more
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Marketing awareness, professional experience, and support for e-cigarette advertising regulation among Polish legal professionals: a latent-class analysis. [PDF]
Int J Occup Med Environ HealthZajdel K +4 more
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The Journal of Hand Surgery, 2013
c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
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c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
openaire +4 more sources
The Statistician, 1989
The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroups. These subgroups form the categories of a categorical latent variable (see entry latent variable).
A. J. Woods, Allan L. McCutcheon
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The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroups. These subgroups form the categories of a categorical latent variable (see entry latent variable).
A. J. Woods, Allan L. McCutcheon
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2018
Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
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Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
+4 more sources
Latent class analysis with ordered latent classe
British Journal of Mathematical and Statistical Psychology, 1990In this paper a latent class model is described in which the latent classes are ordered imposing inequality constraints on item response and cumulative response probabilities from subsequent latent classes. These inequality constraints are derived from the basic assumption that, when the latent classes may be ordered from low to high along the latent ...
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