Persona: Martínez Huertas, José Ángel
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Martínez Huertas
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José Ángel
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Publicación Validation of the professional good care scale in nursing homes (GCS-NH)(BioMed Central, 2021-04-15) Pérez Rojo, Gema; López, Javier; Noriega, Cristina; Velasco, Cristina; Martínez Huertas, José ÁngelBackground: There is extensive concern about older people’s care in institutions, especially recently in the past years. One of the reasons is linked to the cases of elder abuse, not only shown by academic and scientific sources, but also by social and mass media and their impact on public perception of the institutional setting. What is more, current COVID-19 pandemic consequences on older people have provoked alarm and worry especially about what is happening in institutions. Methods: The sample for this study consists of 286 staff working in nursing homes in Spain. This study aimed to assess the psychometric properties of the Professional Good Care Scale in Nursing Homes (GCS-NH). Results: Results of parallel analyses and exploratory factor analyses (EFAs) showed a four-factor model for the 32- item scale: humanization (9 items), non-infantilization (10 items), respect (7 items) and empowerment (6 items). Then, psychometric properties were tested analysing internal consistency (reliability) and convergent, divergent and criterion validity. High internal consistency (reliability) and different validity evidence were obtained for the total scores of the GCS-NH and its subscales. GCS-NH scores were also capable of detecting risk of probable institutional elder abuse. Conclusions: Results show that this scale is an appropriate, valid, and reliable multidimensional instrument to evaluate good care in older institutionalized people by staff. Good care is an outcome of a complex construct in which a wide range of factors converge (staff, older people, and environmental characteristics). The GCS-NH has potential to be used as a multidimensional tool to assess good care.Publicación Enhancing topic-detection in computerized assessments of constructed responses with distributional models of language(Elsevier, 2021-12-15) Olmos, Ricardo; León, José A.; Martínez Huertas, José ÁngelUsually, computerized assessments of constructed responses use a predictive-centered approach instead of a validity-centered one. Here, we compared the convergent and discriminant validity of two computerized assessment methods designed to detect semantic topics in constructed responses: Inbuilt Rubric (IR) and Partial Contents Similarity (PCS). While both methods are distributional models of language and use the same Latent Semantic Analysis (LSA) prior knowledge, they produce different semantic representations. PCS evaluates constructed responses using non-meaningful semantic dimensions (this method is the standard LSA assessment of constructed responses), but IR endows original LSA semantic space coordinates with meaning. In the present study, 255 undergraduate and high school students were allocated one of three texts and were tasked to make a summary. A topic- detection task was conducted comparing IR and PCS methods. Evidence from convergent and discriminant validity was found in favor of the IR method for topic-detection in computerized constructed response assessments. In this line, the multicollinearity of PCS method was larger than the one of IR method, which means that the former is less capable of discriminating between related concepts or meanings. Moreover, the semantic representations of both methods were qualitatively different, that is, they evaluated different concepts or meanings. The implications of these automated assessment methods are also discussed. First, the meaningful coordinates of the Inbuilt Rubric method can accommodate expert rubrics for computerized assessments of constructed responses improving computer-assisted language learning. Second, they can provide high-quality computerized feedback accurately detecting topics in other educational constructed response assessments. Thus, it is concluded that: (1) IR method can represent different concepts and contents of a text, simultaneously mapping a considerable variability of contents in constructed responses; (2) IR method semantic representations have a qualitatively different meaning than the LSA ones and present a desirable multicollinearity that promotes the discriminant validity of the scores of distributional models of language; and (3) IR method can extend the performance and the applications of current LSA semantic representations by endowing the dimensions of the semantic space with semantic meanings.Publicación Can personality traits be measured analyzing written language? A meta-analytic study on computational methods(Elsevier, 2021) Moreno, José David; Olmos, Ricardo; Jorge Botana, Guillermo de; Botella, Juan; Martínez Huertas, José ÁngelIn the last two decades, empirical evidence has shown that personality traits could be related to the characteristics of written language. This study describes a meta-analysis that synthesizes 23 independent estimates of the correlations between the Big Five major personality traits, and some computationally obtained indicators from written language. The results show significant combined estimates of the correlations, albeit small to moderate according to Cohen’s conventions to interpret effect sizes, for the five traits (between r = 0.26 for agreeableness and neuroticism, and 0.30 for openness). These estimates are moderated by the type of information in the texts, the use of prediction mechanisms, and the source of publication of the primary studies. Generally, the same effective moderators operate for the five traits. It is concluded that written language analyzed through computational methods could be used to extract relevant information of personality. But further research is still needed to consider it as predictive or explanatory tool for individual differences.Publicación Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging(PsychOpen, 2022-12-22) Olmos, Ricardo; Martínez Huertas, José ÁngelRandom 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.Publicación 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, I.; Velasco, Cristina; López Frutos, Patricia; Galarraga Cristobal, Leyre; Martínez Huertas, José ÁngelThe 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 consideredPublicación Mixed-effects models with crossed random effects for multivariate longitudinal data(['Taylor and Francis Group', 'Routledge'], 2022-09-20) Ferrer, Emilio; Martínez Huertas, José ÁngelMultivariate 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.Publicación Emotional distress among older adults during the COVID-19 outbreak: understanding the longitudinal psychological impact of the COVID-19 pandemic(Wiley, 2021-10-29) López, Javier; Pérez Rojo, Gema; Noriega, Cristina; Velasco, Cristina; Martínez Huertas, José ÁngelBackground Older adults have proven their ability to overcome adversities throughout their life. This study aims to assess the impact of the COVID-19 pandemic on older adultsʼ psychological distress (anxiety and depression) over time. Methods A community-dwelling Spaniard population (N = 192) completed a survey and reported on their sociodemographic characteristics, appraisal and personal resources. Older adults took part in a longitudinal online survey collected in April 2020 (during the lockdown restrictions) and at two subsequent time points 3 and 9 months after baseline (without lockdown restrictions and during the third wave of the pandemic respectively). Results Older adults did not evidence higher emotional distress than during the initial lockdown. Furthermore, depression remained stable and anxiety significantly decreased. Results also suggest that some sociodemographic characteristics, appraisals and personal resources are relevant. Older participants showed less anxiety than younger ones. Furthermore, being a male, resilience, and acceptance were related with the decrease of anxiety. Otherwise, fear of the COVID-19 outbreak and depression were related with the increase of anxiety. Conclusion Older adults may adapt to the adverse pandemic impact by using more adaptive resources that reduce their distress. Efforts to ameliorate older adults' anxiety by focusing on older adults' personal resources should be considered.Publicación Strong versus weak embodiment: Spatial iconicity in physical, abstract, and social semantic categories(Wiley, 2023-10) León, J. A.; Moreno, D.; Martín, L. A; Martínez Huertas, José ÁngelBackground Perceptual and action systems seem to be related to complex cognitive processes, but the scope of grounded or embodied cognition has been questioned. Zwaan and Yaxley (2003) proposed that cognitive processes of making semantic relatedness judgments can be facilitated when word pairs are presented in ways that their referents maintain their iconic configuration rather than their reverse-iconic configuration (the spatial iconicity effect). This effect has been observed in different semantic categories using specific experiments, but it is known that embodiment is highly dependent on task demands. Method The present study analyzed the spatial iconicity effect in three semantic categories (physical, abstract, and social) using the same experimental criteria to determine the scope of embodied cognition. In this reaction-time experiment, 75 participants judged the semantic relatedness of 384 word pairs whose experimental items were presented in their iconic or reverse-iconic configurations. Results Two mixed-effects models with crossed random effects revealed that the interaction between word meaning and spatial position was present only for physical concepts but neither for abstract nor social concepts. Conclusions Within the framework of strong and weak embodiment theories, the data support weak embodiment theory as the most explicative one.Publicación Older People’s Personal Strengths During the First Wave of the COVID-19 Pandemic(Colegio Oficial de Psicólogos del Principado de Asturias, 2021) Pérez Rojo, Gema; López, Javier; Noriega, Cristina; Velasco, Cristina; Carretero, Isabel; López Frutos, Patricia; Galarraga Cristobal, Leyre; Pillemer, Karl; Martínez Huertas, José ÁngelFortalezas Personales en Personas Mayores Durante la Primera Ola de la Pandemia por COVID-19. Antecedentes: las variables biopsicosociales juegan un papel importante como factores de riesgo o protectores de la salud mental, pero los estudios sobre el impacto del COVID-19 en las personas mayores raramente se han centrado en factores protectores. El objetivo del estudio es analizar cómo fortalezas personales de las personas mayores predicen su bienestar psicológico y malestar emocional. Método: 783 personas españolas mayores de 60 años completaron el protocolo de evaluación que incluía características sociodemográficas, salud percibida, afectación directa o indirecta por COVID, resiliencia, gratitud, evitación experiencial, funcionamiento familiar, malestar emocional y bienestar psicológico. Se utilizó un modelo de ecuaciones estructurales y su invarianza para analizar si existían diferencias entre personas afectadas o no por COVID-19. Resultados: se ha encontrado un modelo que apoya el efecto mediador de la resiliencia, la gratitud y la evitación experiencial sobre el bienestar psicológico y el malestar emocional. Los resultados se han mantenido independientemente de la afectación por COVID. Conclusiones: las variables utilizadas como criterio en personas mayores están relacionadas con el bienestar psicológico y el malestar emocional, pero indirectamente y mediadas por fortalezas personales. Esto confirma la importancia de considerar las fortalezas en el bienestar de las personas mayores. Las intervenciones centradas en recursos personales deben ser consideradas.Publicación 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 MaríaSome 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.