Latent class analysis on total adolescent sample
Latent Class Analysis and Latent Profile Analysis
... Case Study of LCA An illustrative example of the potential for LCA in community-based research can be seen from the following study by the first author and his colleagues (Williams, Humberstone, & Harris, 2010) that was ...
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Prevalence and characteristics of addictive behaviors in a community sample: A latent class analysis
... “binge” eating is the behavior that is most frequently triggered by neg- ative emotional states, supporting the evidence that excessive eating is commonly used to cope with negative affect (e.g., Anestis, Selby, Fink, & ...
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Multimethod latent class analysis
... also latent variables, low cell frequencies lead to estimation ...with latent variables ...required sample sizes but also in terms of properties of the estimation algorithms might be more deeply ...
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Trajectories of Body Dissatisfaction and Dietary Restriction in Early Adolescent Girls: A Latent Class Growth Analysis
... The extant literature that has examined individually the role of sociocultural influences on changes in body dissatisfaction and dietary restriction over time has provided initial support for the importance of these ...
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Concurrent and simultaneous polydrug use: latent class analysis of an Australian nationally representative sample of young adults
... The use of national surveys such as the NDSHS provides a large sample of cross-sectional overview of drug use in the general pop- ulation. However, the sampling of individuals with a fixed home address or landline ...
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Latent Class Analysis for Marketing Scales Development.
... The procedure continues assessing reliability with new data. A measure is considered reliable to the extent that independent but comparable measures of the same trait or construct of a given object agree. Reliability is ...
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Hierarchical Latent Class Models for Cluster Analysis
... We ran our learning algorithm on each of the four training sets, once for each of the four scoring metrics BIC, AIC, CS, and LS. There are 16 settings in total. For the LS scoring metric, 25% of the training data ...
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Prolonged grief and attachment security: a latent class analysis
... outcomes. The average time since loss in our sample was just over three and a half years. We cannot rule out the possibility that chronic PGD or depressive symptoms produced changes in self-reported attachment ...
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Temporal eating patterns: a latent class analysis approach
... Strengths of this study include the large, nationally representative sample of Australian men and women and the use of a more objective EO definition based on previous research [29, 30]. A novel feature of the ...
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Latent class analysis was accurate but sensitive in data simulations
... outcome. It might be argued that starting with real data is more valid or generalizable to a real-life research setting, but in a real research setting, one is attempting to describe the total population ...
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Applications of confirmatory latent class analysis in developmental psychology
... A key question in ELCA is: into how many homogeneous subgroups should the sample be divided? Usually fit measures (Everitt, 1988; Lin & Dayton, 1997) are used to determine which number of classes is optimal. ...
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Uncovering steroidopathy in women with autism: a latent class analysis
... influence class membership can be entered as covariates in ...our sample size slightly to 342 participants with ASC, and 402 con- trol ...k-1 latent classes, and the Akaike Information Criterion ...
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The detection and modeling of direct effects in latent class analysis
... the sample size is varied (N ∈ {500, 1000, 2000, ...small sample sizes as ...high sample size condition N = ...higher sample size is preferred A sample size of 500 can be regarded as a ...
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The Latent Structure of Autistic Traits:A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient
... the sample we are likely to have a small number of ASD cases, but the exact number is ...A sample ideal for taxometric analysis is likely to substantially deviate from the distribution of autistic ...
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The latent structure of autistic traits: a taxometric, latent class and latent profile analysis of the adult autism spectrum quotient
... the sample we are likely to have a small number of ASD cases, but the exact number is ...A sample ideal for taxometric analysis is likely to substantially deviate from the distribution of autistic ...
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Latent trait and latent class models in survey analysis: Case studies in public perceptions of biotechnology
... a sample of items from a broader universe of possible questions, making it feasible to drop certain items from a scale if they are shown to function irregularly, here the set o f items more obviously represent ...
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Early life patterns of common infection: a latent class analysis
... A latent class analysis was used to identify patterns of infection and their relationship to five factors commonly used as proxies: sex, other children in the home, maternal smoking, breastfeeding ...
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Internet Gamblers: A Latent Class Analysis of Their Behaviours and Health Experiences
... the sample is that it was recruited via sites providing Internet gambling services and furnishes information about individuals who actually use these services, this is also a key ...self-selected sample, ...
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A Comparison of Statistics for Assessing Model Invariance in Latent Class Analysis
... of latent class prevalences will too frequently be rejected incorrectly in the unequal known group sample size case, with the exception of aBIC and ...more latent classes are present in the ...
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Latent class analysis on internet and smartphone addiction in college students
... the sample by sex prior to LCA. As expected, the initial analysis revealed that females were more vulnerable to smartphone addiction than internet addiction and that males exhibited the opposite ...
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