Persona:
Martínez Huertas, José Ángel

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0000-0002-6700-6832
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Martínez Huertas
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José Ángel
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2020 - 202534
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Fecha de inicio: 2020 ×

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Mostrando 1 - 10 de 34
  • Miniatura
    Publicación
    Estimate of planned and unplanned missing individual scores in longitudinal designs using continuous-time state-space models
    (American Psychological Association, 2024) Martínez Huertas, José Ángel; Estrada, Eduardo; Olmos, Ricardo; https://orcid.org/0000-0003-0899-4057; https://orcid.org/0000-0002-1298-6861
    Latent change score (LCS) models within a Continuous-Time State-Space Modeling framework (CT-SSM) provide a convenient statistical approach for analyzing developmental data. In this study, we evaluate the robustness of such an approach in the context of accelerated longitudinal designs (ALDs). ALDs are especially interesting because they imply a very high rate of planned data missingness. Additionally, most longitudinal studies present unexpected participant attrition leading to unplanned missing data. Therefore, in ALDs, both sources of data missingness are combined. Previous research has shown that ALDs for developmental research allow recovering the population generating process. However, it is unknown how participant attrition impacts the model estimates. We have three goals: (1) to evaluate the robustness of the group-level parameter estimates in scenarios with empirically plausible unplanned data missingness; (2) to evaluate the performance of Kalman scores (KS) imputations for individual data points that were expected but unobserved; and (3) to evaluate the performance of KS imputations for individual data points that were outside the age ranged observed for each case (i.e., to estimate the individual trajectories for the complete age range under study). In general, results showed lack of bias in the simulated conditions. The variability of the estimates increased with lower sample sizes and higher missingness severity. Similarly, we found very accurate estimates of individual scores for both planned and unplanned missing data points. These results are very important for applied practitioners in terms of forecasting and making individual-level decisions. R code is provided to facilitate its implementation by applied researchers
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    Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging
    (PsychOpen, 2022-12-22) Olmos, Ricardo; Martínez Huertas, José Ángel
    Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR). Given that model selection makes all-or-nothing decisions regarding to the inclusion of model parameters, we evaluated if model averaging could deal with model uncertainty to recover random effects of MEMs-CR. Specifically, we analyzed the bias and the root mean squared error (RMSE) of the estimations of the variances of random effects using model averaging with Akaike weights and Bayesian model averaging with BIC posterior probabilities, comparing them with two alternative analytical strategies as benchmarks: AIC and BIC model selection, and fitting a full random structure. A simulation study was conducted manipulating sample sizes for subjects and items, and the variance of random effects. Results showed that model averaging, especially Akaike weights, can adequately recover random variances, given a minimum sample size in the modeled clusters. Thus, we endorse using model averaging to deal with model uncertainty in MEMs-CR. An empirical illustration is provided to ease the usability of model averaging.
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    Mixed-effects models with crossed random effects for multivariate longitudinal data
    (['Taylor and Francis Group', 'Routledge'], 2022-09-20) Ferrer, Emilio; Martínez Huertas, José Ángel
    Multivariate models for longitudinal data attempt to examine change in multiple variables as well as their interrelations over time. In this study, we present a Mixed-Effects Model with Crossed Random effects (MEM-CR) for individuals and variables, and compare it with two existing structural equation models for multivariate longitudinal data, namely the Curve-of-Factor-Scores (CUFFS) and the Factor-of-Curve-Scores (FOCUS). We compare these models in two types of longitudinal studies based on balanced and unbalanced data: panel studies and cohort-sequential designs, respectively. We illustrate the performance of these statistical techniques using empirical data from two studies (MHS, a panel study, and NLSY79, a cohort-sequential design) with discrete and continuous time metric modeling, respectively. We conclude that MEMs-CR provide relevant information about the developmental trajectories of individuals and variables in multivariate longitudinal data under either type of data condition. We discuss the theoretical and methodological implications of our findings.
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    Burnout and Quality of Life in Professionals Working in Nursing Homes: The Moderating Effect of Stereotypes
    (Frontiers Media, 2022-03-04) López Frutos, Patricia; Pérez Rojo, Gema; Noriega, Cristina; Velasco, Cristina; Carretero, Isabel; Galarraga Cristobal, Leyre; López, Javier; Martínez Huertas, José Ángel
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    Psychological well-being among older adults during the COVID-19 outbreak: a comparative study of the young–old and the old–old adults
    (Cambridge University Press, 2020-05-22) López, J.; Pérez Rojo, Gema; Noriega, Cristina; Carretero, Isabel; Velasco, Cristina; López Frutos, Patricia; Galarraga Cristobal, Leyre; Martínez Huertas, José Ángel
    The COVID-19 outbreak could be considered as an uncontrollable stressful life event. Lockdown measures have provoked a disruption of daily life with a great impact over older adults’ health and well-being. Nevertheless, eudaimonic well‐being plays a protective role in confronting adverse circumstances, such as the COVID-19 situation. This study aims to assess the association between age and psychological well-being (personal growth and purpose in life). Young–old (60–70 years) and old–old (71–80 years) community- dwelling Spaniards (N = 878) completed a survey and reported on their sociodemographic characteristics and their levels of health, COVID-19 stress-related, appraisal, and personal resources. Old–old did not evidence poorer psychological well-being than young–old. Age has only a negative impact on personal growth. The results also suggest that the nature of the COVID-19 impact (except for the loss of a loved one) may not be as relevant for the older adults’ well-being as their appraisals and personal resources for managing COVID- related problems. In addition, these results suggest that some sociodemographic and health-related variables have an impact on older adults’ well-being. Thus, perceived-health, family functioning, resilience, gratitude, and acceptance had significant associations with both personal growth and purpose in life. Efforts to address older adults’ psychological well-being focusing on older adults’ personal resources should be considered
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    Adaptation of a scale of Socioemotional Skills for teachers of Early Childhood, Primary and Secondary Education
    (Ediciones de la Universidad de Murcia & MIDE, 2023-04-03) Soria Aldavero, Esther; Rodríguez Navarro, Henar; Montero García-Celay, Ignacio; Martínez Huertas, José Ángel
    Este trabajo realiza un análisis factorial exploratorio de los datos recogidos por cuestionario en una muestra de 254 maestros y 233 profesores de la provincia de Soria (España) sobre el Factor Socioemocional de la escala ECAD-EP, diseñada originalmente para evaluar competencialmente patrones y perfiles docentes de educación primaria. Mediante análisis paralelo, comparación de modelos y estudio de la estructura factorial, se adapta la utilización de la escala para el colectivo de maestros (tanto en la muestra de primaria original como en la ahora incluida de infantil) y de profesores de secundaria, ampliando así sus oportunidades formativo-reflexivas en el proceso de autoevaluación y mejora docente. Se obtienen, además, resultados que evidencian una estructura subyacente de tres factores y una diferencia por colectivo docente en los factores 2 (Autoeficacia instruccional y emocional) y 3 (Dinamización del trabajo colaborativo). Por otro lado, no aparecen diferencias entre colectivos docentes en el factor 1 (Respeto a la diversidad), ni tampoco diferencias de género en ninguno de los tres factores. Se consideran las implicaciones para el diseño de modalidades formativo-reflexivas de estrategias diferenciales para los variados niveles de desempeño docente.
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    Longitudinal Correlates of Loneliness and Psychological Distress During the Lockdown Situation due to COVID-19. Effects of Age and Self-Perceptions of Aging
    (Oxford University Press, 2021-06-13) Losada Baltar, Andrés; Jiménez Gonzalo, Lucía; Pedroso Chaparro, María del Sequeros; Gallego Alberto, Laura; Fernandes Pires, José; Márquez González, María; Martínez Huertas, José Ángel
    To longitudinally analyze the correlates of loneliness and psychological distress in people exposed to the coronavirus disease 2019 (COVID-19) lockdown, exploring the effects of age and self-perceptions of aging (SPA). Methods: A longitudinal follow-up of 1,549 participants was carried out at four different time points during the lockdown in Spain. Questions about the risk of COVID-19, age, SPA, family and personal resources, loneliness, and psychological distress were measured. Results: Changes in loneliness showed a linear longitudinal trajectory through time, but changes in psychological distress showed a U-shaped relationship with time. Age was a relevant predictor of differences in distress, with older people reporting less psychological distress. Change in both dependent variables was related to change in different predictors like family and personal variables and also to negative SPA. Discussion: In a stressful situation such as the COVID-19 pandemic, older adults may be more resilient to adverse mental health outcomes by using more adaptive resources that strengthen their resilience. Support is provided for the importance of stereotyped views of the aging process that, independently of chronological age, may put people at risk of suffering adverse mental health outcomes such as loneliness and psychological distress in times of crisis.
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    El proceso del estrés y el afrontamiento en cuidadores informales de personas con diagnóstico del espectro de la esquizofrenia. Un estudio longitudinal
    (Fundación VECA para el Avance de la Psicología Clínica Conductual, 2023) Mora Castañeda, Belvy; Márquez González, María; Fernández Liria, Alberto; Cabrera, Isabel; Olmos, Ricardo; O'connell, Daniel; Martínez Huertas, José Ángel
    El objetivo de este estudio longitudinal fue analizar el papel del estrés y las estrategias de afrontamiento en la explicación de la carga y la depresión de familiares cuidadores de personas con diagnóstico del espectro de la esquizofrenia. Fueron evaluados 30 pacientes este diagnóstico y sus cuidadores informales (n=30). Los participantes fueron evaluados en tres momentos temporales: línea base, a los 5 meses y a los 10 meses. Se encontró una disminución de los niveles de carga subjetiva con el paso del tiempo. Asimismo, la carga subjetiva y la depresión del cuidador mostraron una mayor relación con aquellas variables del paciente relacionadas con la sintomatología negativa. A nivel longitudinal, la evitación y la resignación mostraron una notable relación con la carga subjetiva y la depresión. Los posibles cambios en la evaluación de las demandas que el trastorno plantea y en las estrategias de afrontamiento empleadas por los cuidadores sugieren el desarrollo de un proceso de adaptación al trastorno por parte del cuidador.
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    Redundancy, Isomorphism and Propagative Mechanisms between Emotional and Amodal Representations of Words: A Computational Study
    (['Springer', 'Psychonomic Society'], 2020-08-20) Jorge Botana, Guillermo de; Olmos, Ricardo; Martínez Huertas, José Ángel; Luzón Encabo, José María
    Some proposals claim that language acts as a link to propagate emotional and other modal information. Thus, there is an eminently amodal path of emotional propagation in the mental lexicon. Following these proposals, we present a computational model that emulates a linking mechanism (mapping function) between emotional and amodal representations of words using vector space models, emotional feature-based models, and neural networks. We analyzed three central concepts within the embodiment debate (redundancy, isomorphism, and propagative mechanisms) comparing two alternative hypotheses: semantic neighborhood hypothesis vs. specific dimensionality hypothesis. Univariate and multivariate neural networks were trained for dimensional (N=11,357) and discrete emotions (N=2,266), and later we analyzed its predictions in a test set (N=4,167 and N=875, respectively). We showed how this computational model could propagate emotional responses to words without a direct emotional experience via amodal propagation, but no direct relations were found between emotional rates and amodal distances. Thereby, we found that there were clear redundancy and propagative mechanisms, but no isomorphism should be assumed. Results suggested that it was necessary to establish complex links to go beyond amodal distances of vector spaces. In this way, although the emotional rates of semantic neighborhoods could predict the emotional rates of target words, the mapping function of specific amodal features seemed to simulate emotional responses better. Thus, both hypotheses would not be mutually exclusive. We also showed that discrete emotions could have simpler relations between modal and amodal representations than dimensional emotions. All these results and their theoretical implications are discussed.
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    Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items
    (['Taylor and Francis Group', 'Routledge'], 2021-02-26) Olmos, Ricardo; Ferrer, Emilio; Martínez Huertas, José Ángel
    A good deal of experimental research is characterized by the presence of random effects on subjects and items. A standard modeling approach that includes such sources of variability is the mixed-effects models (MEMs) with crossed random effects. However, under-parameterizing or over-parameterizing the random structure of MEMs bias the estimations of the Standard Errors (SEs) of fixed effects. In this simulation study, we examined two different but complementary perspectives: model selection with likelihood-ratio tests, AIC, and BIC; and model averaging with Akaike weights. Results showed that true model selection was constant across the different strategies examined (including ML and REML estimators). However, sample size and variance of random slopes were found to explain true model selection and SE bias of fixed effects. No relevant differences in SE bias were found for model selection and model averaging. Sample size and variance of random slopes interacted with the estimator to explain SE bias. Only the within-subjects effect showed significant underestimation of SEs with smaller number of items and larger item random slopes. SE bias was higher for ML than REML, but the variability of SE bias was the opposite. Such variability can be translated into high rates of unacceptable bias in many replications.