latent trait
Mixture of latent trait analyzers for model based clustering of categorical data
... standard. Latent class analysis is a commonly used method for model-based clustering of binary data and/or categorical data, but due to an assumed local independence structure there may not be a correspondence ...
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Using Three-Parameter Latent Trait Model in the Development Mathematics Achievement Test
... parameter latent trait model of the item response theory in the junior secondary schools in Rivers ...parameter latent trait ...three-parameter latent model be used to ascertain the ...
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Exponential distribution of total depressive symptom scores in relation to exponential latent trait and item threshold distributions: a simulation study
... To compare the latent trait’s random number with that of the threshold, each item’s threshold must share the scale with the latent trait. Therefore, the mean distribu- tion value of each item’s ...
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Do gamblers eat more salt? Testing a latent trait model of covariance in consumption
... possible trait has not been ...single latent factor (none, fixed loadings, or estimated loadings), and assumed residual covariance structure (none, a-priori / literature based, or post-hoc / ...single ...
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Combining adverse pregnancy and perinatal outcomes for women exposed to antiepileptic drugs during pregnancy, using a latent trait model
... a latent trait model to assess adverse pregnancy and perinatal outcomes in women exposed to antiepileptic drugs during ...this latent trait model in other drug studies exam- ining similarly ...
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Personality dimensions emerging during adolescence and young adulthood are underpinned by a single latent trait indexing impairment in social functioning
... general latent factor and specific ...general latent trait underpinning these traits is best inter- preted as a severity factor in which high scores index higher impartment in social functioning ...
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Screening for depressed mood in an adolescent psychiatric context by brief self-assessment scales – testing psychometric validity of WHO-5 and BDI-6 indices by latent trait analyses
... single latent trait that deter- mines how the questions are answered, for WHO-5 per- ceived wellness and for BDI-6 depressed mood, (b) local stochastic independence of the items in a scale meaning that a ...
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Establishing the HLS Q12 short version of the European Health Literacy Survey Questionnaire: latent trait analyses applying Rasch modelling and confirmatory factor analysis
... fitting items. Poorly fitting items which over- or under-discriminate tap into constructs other than the latent trait [64]. Over-discriminating items measure “too much of something else” that is positively ...
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A latent trait approach to measuring HIV/AIDS related stigma in healthcare professionals: application of mokken scaling technique
... personal latent trait ...their latent trait) – the monotone homogeneity (MH) ...a latent trait of stigmatising atti- tudes and order the items in the scale on their “diffi- ...
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Using latent trait models to assess cross-national scales of the publics knowledge about science and technology
... one trait to try to account for response ...one trait to represent the variation in the data. Further, I model the latent traits as discrete, with seven levels, rather than as continuous (see Heinen ...
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Multiple Imputation of missing values in exploratory factor analysis of multidimensional scales: estimating latent trait scores
... tent trait scores for incomplete ...the latent trait scores using the original dataset ...tent trait scores after introducing artificial missingness; (d) and, finally, it compares the ...
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Latent trait and latent class models in survey analysis: Case studies in public perceptions of biotechnology
... the latent variable(s) and observed items. Latent trait and latent class models, however, specify a logistic rather than a linear model (binary or multinomial for binary or polytomous observed ...
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The effects of latent trait anxiety on attentional processing : An ERP investigation
... Two findings provide convergent evidence for enhanced P3 activity related to Stroop interference. These include Stroop interference in the classic form (Ilan & Polich, 2001) and in the form of threat-relevance ...
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Robustness, semiparametric estimation and goodness of fit of latent trait models
... 00001t tif R o b u stn ess, Sem iparam etric E stim a tio n and G ood n ess of F it o f L atent Trait M o d els P a n a g io ta T z a m o u r a n i L o n d o n S c h o o l o f E c o n o m ic s a n d P[.] ...
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The cross-cultural validity of the Resilience Scale for Adults: a comparison between Norway and Brazil
... the latent intercepts to be ...the latent construct more often are of inter- est, metric invariance is often a sufficient ...the latent trait, thus individuals from both groups interpret the ...
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Adapting Educational Measurement to the Demands of Test-Based Accountability
... If test preparation has improved performance on the linking items more than improvement on the latent trait warrants—that is, if test preparation has made the items easier than changes i[r] ...
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Genotype × Environment Interaction in Psychiatric Genetics: Deep Truth or Thin Ice?
... havioral trait. (2) The latent trait and environmental index are ‘scored’ using a simple test procedure simulating those frequently used in behavioral measurement to generate symptom counts and ...
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Using Rasch modeling to investigate the construct of motor competence in early childhood
... the latent trait(s) underlying motor assessment in early childhood is not fully ...the latent trait underlying motor assessment on item ...
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Bayesian Item Response Analysis of Method of Payment Habits in Banking Surveys
... In modern society, customers can choose various methods of payments in their day-to-day financial activities. Payments by phone or online through financial institutions are easy and convenient. At financial institutions ...
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Methodological issues regarding power of classical test theory (CTT) and item response theory (IRT)-based approaches for the comparison of patient-reported outcomes in two groups of patients - a simulation study
... on the mean difference of the latent traits was not com- puted. Furthermore, they have also recalled that large sample sizes (> 1000) are usually required to estimate the items parameters of an IRT model with ...
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