Persona: Martínez Huertas, José Ángel
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jamartinez@psi.uned.es
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0000-0002-6700-6832
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Martínez Huertas
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José Ángel
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Publicación FoCo: una aplicación Shiny para la evaluación formativa usando modelos de diagnóstico cognitivo(Colegio Oficial de la Psicología de Madrid, 2023-05-03) Sanz, Susana; Nájera, Pablo; Moreno, José David; Sorrel, M. A.; Schames Kreitchmann, Rodrigo; Martínez Huertas, José ÁngelLa combinación de evaluaciones formativas y sumativas podría mejorar la evaluación. El modelado de diagnóstico cognitivo (MDC) se ha propuesto para diagnosticar fortalezas y debilidades de estudiantes en la evaluación formativa. Sin embargo, ningún software permite implementarlo fácilmente. Así, se ha desarrollado FoCo (https://foco.shinyapps.io/FoCo/), permitiendo realizar análisis MDC y teoría clásica de tests. Se analizaron respuestas de 86 estudiantes de grado a un examen de métodos de investigación, diagnosticándose sus fortalezas y necesidades en cuanto a su dominio de los contenidos de la asignatura y las tres primeras competencias de la taxonomía de Bloom y se analizó la validez de los resultados. El análisis ha sido informativo, ya que para estudiantes con puntuaciones similares ha sido posible detectar diferentes fortalezas y debilidades. Además, se encontró que estos atributos predicen criterios relevantes. Se espera que FoCo facilite el uso de MDC en contextos educativos.Publicación Toward a Biological, Psychological and Familial Approach of Eating Disorders at Onset: Case-Control ANOBAS Study(Frontiers Media, 2021-09-09) Sepúlveda, Ana Rosa; Moreno Encinas, Alba; Anastasiadou, Dimitra; Nova, Esther; Marcos, Ascensión; Gómez Martínez, Sonia; Villa Asensi, José Ramón; Mollejo, Encarna; Graell Berna, Montserrat; Martínez Huertas, José ÁngelEating disorders (ED) are considered as heterogeneous disorders with a complex multifactor etiology that involves biological and environmental interaction. Objective: The aim was to identify specific ED bio-psychological-familial correlates at illness onset. Methods: A case-control (1:1) design was applied, which studied 50 adolescents diagnosed with ED at onset (12–17 years old) and their families, paired by age and parents’ socio-educational level with three control samples (40 with an affective disorder, 40 with asthma, and 50 with no pathology) and their respective families. Biological, psychological, and familial correlates were assessed using interviews, standardized questionnaires, and a blood test. Results: After performing conditional logistic regression models for each type of variable, those correlates that showed to be specific for ED were included in a global exploratory model (R2 = 0.44). The specific correlates identified associated to the onset of an ED were triiodothyronine (T3) as the main specific biological correlate; patients’ drive for thinness, perfectionism and anxiety as the main psychological correlates; and fathers’ emotional over-involvement and depression, and mothers’ anxiety as the main familial correlates. Conclusion: To our knowledge, this is the first study to use three specific control groups assessed through standardized interviews, and to collect a wide variety of data at the illness onset. This study design has allowed to explore which correlates, among those measured, were specific to EDs; finding that perfectionism and family emotional over-involvement, as well as the T3 hormone were relevant to discern ED cases at the illness onset from other adolescents with or without a concurrent pathology.Publicación A Failed Cross-Validation Study on the Relationship between LIWC Linguistic Indicators and Personality: Exemplifying the Lack of Generalizability of Exploratory Studies(MDPI, 2022-10-13) Moreno, José David; Olmos, Ricardo; Jorge Botana, Guillermo de; Martínez Huertas, José Ángel; Martínez Mingo, Alejandro(1) Background: Previous meta-analytic research found small to moderate relationships between the Big Five personality traits and different linguistic computational indicators. However, previous studies included multiple linguistic indicators to predict personality from an exploratory framework. The aim of this study was to conduct a cross-validation study analyzing the relationships between language indicators and personality traits to test the generalizability of previous results; (2) Methods: 643 Spanish undergraduate students were tasked to write a self-description in 500 words (which was evaluated with the LIWC) and to answer a standardized Big Five questionnaire. Two different analytical approaches using multiple linear regression were followed: first, using the complete data and, second, by conducting different cross-validation studies; (3) Results: The results showed medium effect sizes in the first analytical approach. On the contrary, it was found that language and personality relationships were not generalizable in the cross-validation studies; (4) Conclusions: We concluded that moderate effect sizes could be obtained when the language and personality relationships were analyzed in single samples, but it was not possible to generalize the model estimates to other samples. Thus, previous exploratory results found on this line of research appear to be incompatible with a nomothetic approach.Publicación Análisis de dos métodos de evaluación automática de análisis semántico latente (LSA): un nuevo método LSA (Inbuilt Rubric) y un método LSA tradicional ( Golden Summary) en resúmenes extraídos de textos expositivos(Colegio Oficial de Psicólogos de Madrid, 2018) Jastrzebska, Olga; Mencu, Adrián; Moraleda, Jessica; Olmos, Ricardo; Antonio León, José Antonio; Martínez Huertas, José ÁngelEl objetivo de este estudio es comparar dos métodos de evaluación automática del análisis semántico latente (LSA): Un nuevo método LSA ( Inbuilt Rubric) y un método LSA tradicional ( Golden Summary). Se analizaron dos condiciones del método Inbuilt Rubric: el número de descriptores léxicos que se utilizan para generar la rúbrica (pocos vs. muchos) y una corrección que penaliza el contenido irrelevante incluido en los resúmenes de los estudiantes (corregido vs. no corregido). Ciento sesenta y seis estudiantes divididos en dos muestras (81 estudiantes universitarios y 85 estudiantes de instituto) participaron en este estudio. Los estudiantes resumieron dos textos expositivos que tenían distinta complejidad (difícil/fácil) y longitud (1,300/500 palabras). Los resultados mostraron que el método Inbuilt Rubric imita las evaluaciones humanas mejor que Golden Summary en todos los casos. La similitud con las evaluaciones humanas fue más alta con Inbuilt Rubric ( r = .78 and r = .79) que con Golden Summary ( r = .67 and r = .47) en ambos textos. Además, la versión de Inbuilt Rubric con menor número de descriptores y con corrección es la que obtuvo mejores resultados.Publicación Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables(['Springer', 'Psychonomic Society'], 2022-01-11) Olmos, Ricardo; Jorge Botana, Guillermo de; León, José A.; Martínez Huertas, José ÁngelIn this paper, we highlight the importance of distilling the computational assessments of constructed responses to validate the indicators/proxies of constructs/trins using an empirical illustration in automated summary evaluation. We present the validation of the Inbuilt Rubric (IR) method that maps rubrics into vector spaces for concepts’ assessment. Specifically, we improved and validated its scores’ performance using latent variables, a common approach in psychometrics. We also validated a new hierarchical vector space, namely a bifactor IR. 205 Spanish undergraduate students produced 615 summaries of three different texts that were evaluated by human raters and different versions of the IR method using latent semantic analysis (LSA). The computational scores were validated using multiple linear regressions and different latent variable models like CFAs or SEMs. Convergent and discriminant validity was found for the IR scores using human rater scores as validity riteria. While this study was conducted in the Spanish language, the proposed scheme is language-independent and applicable to any language. We highlight four main conclusions: (1) Accurate performance can be observed in topic-detection tasks without hundreds/thousands of pre-scored samples required in supervised models. (2) Convergent/discriminant validity can be improved using measurement models for computational scores as they adjust for measurement errors. (3) Nouns embedded in fragments of instructional text can be an affordable alternative to use the IR method. (4) Hierarchical models, like the bifactor IR, can increase the validity of computational assessments evaluating general and specific knowledge in vector space models. R code is provided to apply the classic and bifactor IR method.Publicación The Revised Memory and Behavior Problems Checklist for Nursing Homes: Validation among Different Spanish Territories(MDPI, 2022-02-08) Velasco, Cristina; López, Javier; Pérez Rojo, Gema; Noriega, Cristina; Martínez Huertas, José ÁngelMemory and behavioral difficulties among older people living in nursing homes can cause burden and other consequences in professional caregivers. There is a lack of instruments that evaluate these behaviors and their influence in formal caregivers. The aim of this study is to develop and psychometrically test—the Revised Memory and Behavior Problems Checklist for Nursing Homes (RMBPC-NH). A cross-sectional study was carried out. The sample was made up of 312 formal caregivers working in nursing homes from different territories in Spain, 87.5% were women and 12.5% were men. The average age of participants was 39 years (SD = 12.2). The sample was recruited from January 2019 to March 2020. Participants completed a self-administered questionnaire, which included sociodemographic information, and assessed quality of technical equipment, level of training, experience of working with older people, job satisfaction, professional quality of life, burnout, and conception of negative stereotypes held towards aging. The four-factor structure of the RMBPC-NH showed a good fit, namely in relation to memory, functional, and emotional factors, and other problems. It has shown adequate psychometric properties, internal consistency, and validity (correlations with professional quality of life, job satisfaction, burnout, and negative stereotypes). The RMBPC-NH is a useful instrument to evaluate the frequency of older people’s memory and behavior problems and professional caregivers’ burden. The practical application in nursing homes is discussed.Publicación 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 ÁngelA 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.Publicación Are valence and arousal related to the development of amodal representations of words? A computational study(['Taylor and Francis Group', 'Routledge'], 2023-11-21) Jorge Botana, Guillermo de; Iglesias, Diego; Olmos, Ricardo; Martínez Huertas, José Ángel; Martínez Mingo, AlejandroIn this study, we analyzed the relationship between the amodal (semantic) development of words and two popular emotional norms (emotional valence and arousal) in English and Spanish languages. To do so, we combined the strengths of semantics from vector space models (vector length, semantic diversity, and word maturity measures), and feature-based models of emotions. First, we generated a common vector space representing the meaning of words at different developmental stages (five and four developmental stages for English and Spanish, respectively) using the Word Maturity methodology to align different vector spaces. Second, we analyzed the amodal development of words through mixed-effects models with crossed random effects for words and variables using a continuous time metric. Third, the emotional norms were included as covariates in the statistical models. We evaluated more than 23,000 words, whose emotional norms were available for more than 10,000 words, in each language separately. Results showed a curve of amodal development with an increasing linear effect and a small quadratic deceleration. A relevant influence on the amodal development of words was found only for emotional valence (not for arousal), suggesting that positive words have an earlier amodal development and a less pronounced semantic change across early lifespan.Publicación It Must have been Burnout: Prevalence and Related Factors among Spanish PhD Students(Cambridge University Press, 2023-07-23) Sorrel, M. A.; Arconada, María; Martínez Huertas, José ÁngelRecent studies in different countries indicate that PhD students are more vulnerable to psychological disorders compared to the general population. No such data are available for the Spanish population. This study addresses this issue by studying prevalence rates and factors related to a common response to prolonged stress such as burnout syndrome. Burnout, emotional abilities, resilience, satisfaction with the dissertation advisor, and sociodemographic data were collected from 305 PhD students. The results indicated that the burnout rates are high in this group, especially for the emotional exhaustion dimension. Different linear regression models explained between 14% and 41% of the overall burnout scores variance and its dimensions. The psychological variables and the satisfaction with the dissertation advisor were the most relevant predictors. Consistent with what has been found in other countries, the evidence found indicates that the mental state of PhD students in Spain is alarming. The results of this study have important implications for the design and implementation of interventions to alleviate this problem.Publicación 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