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Behavioral disorders, 2021
Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This article provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youths’ daily coping ...
Karen Nylund-Gibson +5 more
semanticscholar +1 more source
Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This article provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youths’ daily coping ...
Karen Nylund-Gibson +5 more
semanticscholar +1 more source
Latent Class and Latent Transition Analysis
2009Linda M. Collins, Stephanie T. Lanza
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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
openaire +2 more sources
Childhood Obesity, 2020
Background: Multiple modifiable lifestyle factors are well-known contributors to many health problems. Objectives: This study aims to determine the association between latent class analysis (LCA) of modifiable lifestyle risk factors with being overweight
Rafaela Liberali +3 more
semanticscholar +1 more source
Background: Multiple modifiable lifestyle factors are well-known contributors to many health problems. Objectives: This study aims to determine the association between latent class analysis (LCA) of modifiable lifestyle risk factors with being overweight
Rafaela Liberali +3 more
semanticscholar +1 more source
Latent Profile/Class Analysis Identifying Differentiated Intervention Effects
Nursing Research, 2022Background The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Because of patient heterogeneity, subgroup analysis is often used to identify differential intervention effects ...
Qing Yang +5 more
semanticscholar +1 more source
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
+4 more sources
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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Allostatic load and mental health: a latent class analysis of physiological dysregulation
Stress, 2020This study explored the associations between specific profiles of biological dysregulation and mental health outcomes in a national, community sample of healthy adults in the United States.
Jason T. Carbone
semanticscholar +1 more source
Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables
Multivariate Behavioral Research, 2020Research on stage-sequential shifts across multiple latent classes can be challenging in part because it may not be possible to observe the particular stage-sequential pattern of a single latent class variable directly. In addition, one latent class variable may affect or be affected by other latent class variables and the associations among multiple ...
Saebom, Jeon +3 more
openaire +2 more sources
2016
Διπλωματική εργασία - Πάντειο Πανεπιστήμιο. Τμήμα Οικονομικής και Περιφερειακής Ανάπτυξης, ΠΜΣ, κατεύθυνση Εφηρμοσμένων Οικονομικών και Διοίκησης ...
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Διπλωματική εργασία - Πάντειο Πανεπιστήμιο. Τμήμα Οικονομικής και Περιφερειακής Ανάπτυξης, ΠΜΣ, κατεύθυνση Εφηρμοσμένων Οικονομικών και Διοίκησης ...
openaire +1 more source