Results 81 to 90 of about 9,854,297 (301)

A General Solution for the Latent Class Model of Latent Structure Analysis [PDF]

open access: yesPsychometrika, 1950
For the point distribution model of Lazarsfeld's latent structure analysis, the general matrix equation is stated which relates the manifest data in the form of joint occurrence matrices to the latent parameters. The relationship of the item responses and these joint occurrence matrices is also indicated in matrix form.
openaire   +2 more sources

Class proportions and class-specific probabilities from a four-latent-class model of chronic conditions.

open access: yes, 2022
Class proportions and class-specific probabilities from a four-latent-class model of chronic conditions.
Katherine Keenan (543406)   +4 more
core   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data

open access: yesJournal of Intelligence, 2020
The last series of Raven’s standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs).
Alexander Robitzsch
doaj   +1 more source

Modelling Charitable Donations: A Latent Class Panel Approach [PDF]

open access: yes
: We apply a latent class tobit framework to the analysis of charitable donations at the household level where the latent class aspect of the model splits households into two groups, which we subsequently interpret as "low" donators and "high" donators ...
Mark N Harris, sarah Brown, Karl Taylor
core  

Latent Class Markov Models for Measuring Longitudinal Fuzzy Poverty

open access: yes, 2014
The traditional approach to poverty measurement utilises only monetary variables as indicators of individuals’ intensity of the state of deprivation, causing measurement errors of the phenomenon under investigation.
Francesca Gagliardi   +5 more
core   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli   +13 more
wiley   +1 more source

Are there different phenotypes of thoracic surgery patients? A latent class analysis of pretreatment patient-reported outcomesCentral MessagePerspective

open access: yesJTCVS Open
Background: Among patients undergoing thoracic surgery, quality of life is associated with multiple perioperative outcomes. Whether patients suffer reduced quality of life in certain areas compared to others is unclear.
Eagan J. Peters, MD   +5 more
doaj   +1 more source

Market Feasibility of Faecal Sludge and Municipal Solid Waste-Based Compost as Measured by Farmers’ Willingness-to-Pay for Product Attributes: Evidence from Kampala, Uganda

open access: yesResources, 2017
There is a great potential to close the nutrient recycling loop, support a ‘circular economy’ and improve cost recovery within the waste sector and to create viable businesses via the conversion of waste to organic fertilizers.
George K. Danso   +4 more
doaj   +1 more source

Dependent Latent Class Models

open access: yes, 2022
Latent Class Models (LCMs) are used to cluster multivariate categorical data (e.g. group participants based on survey responses). Traditional LCMs assume a property called conditional independence. This assumption can be restrictive, leading to model misspecification and overparameterization.
Bowers, Jesse, Culpepper, Steve
openaire   +2 more sources

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