Results 161 to 170 of about 20,009 (303)

From tetrachoric to kappa: How to assess reliability on binary scales

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

Bayesian Nonparametric Estimation and Consistency of Mixed Multinomial Logit Choice Models [PDF]

open access: yes
This paper develops nonparametric estimation for discrete choice models based on the Mixed Multinomial Logit (MMNL) model. It has been shown that MMNL models encompass all discrete choice models derived under the assumption of random utility maximization,
Lancelot F. James   +2 more
core  

Approximating multidimensionality with asymmetric unidimensional IRT models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao   +5 more
wiley   +1 more source

Maintaining symmetry of simulated likelihood functions [PDF]

open access: yes
This paper suggests solutions to two different types of simulation errors related to Quasi-Monte Carlo integration. Likelihood functions which depend on standard deviations of mixed parameters are symmetric in nature.
Laura Mørch Andersen
core  

Positive and Negative Experiences of Caring Among Adolescent Young Carers

open access: yesChildren &Society, EarlyView.
ABSTRACT Research has highlighted that adolescent young carers (AYCs) are in a vulnerable position due to their caring responsibilities being combined with the challenges of adolescence. However, caring among adolescents does not have to be a solely negative experience and positive experiences of caring can co‐exist.
Miriam Svensson   +5 more
wiley   +1 more source

Perceived costs as drivers of wildlife management preferences in rural Tanzanian communities

open access: yesConservation Biology, EarlyView.
Abstract Effectively managing human–wildlife interactions is crucial for fostering coexistence on shared landscapes. Management options are most effective when aligned with the preferences of people directly affected by wildlife, yet little is known about how socioecological factors influence these preferences.
Christian Kiffner   +10 more
wiley   +1 more source

A Random Parameter Logit model for modeling Health Care Provider Choice in Bolivia

open access: yes
In this paper we model health care provider choice in Bolivia with a Random Parameter Logit (RPL) using MECOVI data during the period 1999 and 2000. To our knowledge this is the first time that a RPL is used for modeling health care provider choice in ...
Canaviri, Jose
core  

WHO CHOOSES TO OWN A MANUFACTURED HOME ? [PDF]

open access: yes
Little research has been conducted on the choice of dwelling by U.S. homeowners. Few studies have included manufactured housing into the dwelling choices available to homeowners.
Maria I. Marshall
core  

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