Javier Revuelta

Javier Revuelta
Universidad Autónoma de Madrid | UAM · Social and Methodological Psychology

About

74
Publications
11,065
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722
Citations
Citations since 2017
23 Research Items
219 Citations
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Introduction
Javier Revuelta currently works at the Social and Methodological Psychology, Universidad Autónoma de Madrid. Javier does research in Statistics, Psychometrics and Quantitative Psychology. Their most recent publication is 'Bayesian Dimensionality Assessment for the Multidimensional Nominal Response Model'.
Additional affiliations
September 1977 - present
Universidad Autónoma de Madrid
Position
  • Professor (Associate)

Publications

Publications (74)
Article
Full-text available
Educational and psychological measurement is typically based on dichotomous variables or rating scales comprising a few ordered categories. When the mean of the observed responses approaches the upper or the lower bound of the scale, the distribution of the data becomes skewed and, if a categorical factor model holds in the population, the Pearson...
Article
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and in...
Article
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Bifactor latent models have gained popularity and are widely used to model construct multidimensionality. When adopting a confirmatory approach, a common practice is to assume that all cross-loadings take zero values. This article presents the results of a simulation study exploring the impact of ignoring non-zero cross-loadings on the performance...
Book
Este libro tiene como objetivo introducir al manejo del lenguaje de programación R para aquellas personas que deseen tener un primer contacto sencillo con la herramienta. El Lenguaje R es un software libre y gratuito. Quizá este sea su principal atractivo. Pero tiene un atractivo mayor y es que es utilizado y bien conocido por la comunidad académic...
Article
Full-text available
Although research on missing persons has globally increased during the past few years, most of the studies conducted have focused on the description of socio-demographic and situational factors associated with this phenomenon. The aim of this study is to explore in-depth the relation between missing person's socio-demographic factors and missing pe...
Article
Holding model misspecification constant, the behavior of fit indices depends on factors such as the number of variables being modeled (model size), and the average observed correlation (magnitude of factor loadings or measurement quality). We examine by simulation the interplay of these factors with sample size in CFA models. When a biased estimato...
Article
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The present paper introduces a new explanatory item response model to account for the learning that takes place during a psychometric test due to the repeated use of the operations involved in the items. The proposed model is an extension of the operation-specific learning model (Fischer and Formann in Appl Psychol Meas 6:397–416, 1982; Scheiblechn...
Article
The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework c...
Article
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Situational judgment tests have gained popularity in educational and psychological measurement and are widely used in personnel assessment. A situational judgment item presents a hypothetical scenario and a list of actions, and the individuals are asked to select their most likely action for that scenario. Because actions have no explicit order, th...
Article
The present study aimed to investigate practice effects associated with the abstract rules involved in the Raven's Advanced Progressive Matrices (RAPM) under standard administration conditions. To that end, a linear logistic test modeling approach was used in combination with Carpenter, Just, and Shell's (1990) taxonomy of rules. Several operation-...
Article
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The particularities of bounded data are often overlooked. This type of data is likely to display a pattern of skewness because of the existence of an upper and lower limit that cannot be exceeded. In the context of factor analysis, when variables are skewed in opposite directions, using normal-theory factor analysis might lead to over-factoring. We...
Poster
Full-text available
Situational Judgment Tests (SJT) have gained popularity in educational and psychological measurement. SJTs are scored in nominal categories and the linear factor model is not readily applicable. This study illustrates how to investigate the factorial structure of an SJT in the multiple group case, through the nominal factor analysis.
Article
Full-text available
We show how a factor analysis model can be fitted to nominal data using the computer program Mplus. The model is akin to multinomial logistic regression with unobserved predictors (the common factors) and was initially proposed by Bock (1972) in the one-factor case. Recently, extensions to multiple factors and alternative parameterizations to facil...
Article
Introduction This paper presents an analysis of the data of the technical team (psychologist, social worker and educator) of the juvenile court of Toledo (Spain) from 2001 to 2012. Methodology Descriptive study of the annual series of a sample of 3333 juvenile offenders and their psychosocial, educational and criminal characteristics. Results In...
Article
Introducción En este artículo se analizan los datos del equipo técnico (psicólogo, trabajador social y educador) del juzgado de menores de Toledo (España) desde el año 2001 a 2012. Metodología Estudio descriptivo de la serie anual de una muestra de 3.333 menores infractores y de sus características psicosociales, educativas y delictivas. Resultad...
Article
This article describes the development of the ENCUIST (Extroversion, Neuroticism, Callous-Unemotional, Instability, Short-Test) questionnaire, which has been created to provide a personality profiling method based on a cognitive diagnostic modeling framework. The ENCUIST measures the attributes of extroversion, neuroticism, callous unemotionality a...
Article
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This article introduces Bayesian estimation and evaluation procedures for the multidimensional nominal response model. The utility of this model is to perform a nominal factor analysis of items that consist of a finite number of unordered response categories. The key aspect of the model, in comparison with traditional factorial model, is that there...
Article
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Introduction: There is a renewed interest in incorporating personality variables in criminology theories in order to build models able to integrate personality variables and biological factors with psychosocial and sociocultural factors. The aim of this article is the assessment of personality dimensions that contribute to the prediction of antiso...
Article
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Se han estudiado las propiedades psicométricas de la escala de personalidad EPQ-A (Eysenck Personality Questionnaire, forma A) en una muestra de adolescentes de El Salvador, México y España, formada por 1.035 participantes con una edad media de 17 años (en la muestra del EPQ-A). La consistencia interna del EPQ-A se ha calculado mediante el coeficie...
Article
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This study compares the performance of two estimation algorithms of new usage, the Metropolis-Hastings Robins-Monro (MHRM) and the Hamiltonian MCMC (HMC), with two consolidated algorithms in the psychometric literature, the marginal likelihood via EM algorithm (MML-EM) and the Markov chain Monte Carlo (MCMC), in the estimation of multidimensional i...
Article
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Background: Multistage adaptive testing has recently emerged as an alternative to the computerized adaptive test. The current study details a new multistage test to assess fluid intelligence. Method: An item pool of progressive matrices with constructed response format was developed, and divided into six subtests. The subtests were applied to a...
Article
El presente estudio aborda la problemática del desarrollo de modelos psicométricos para diseños de investigación multinivel, que tienen como objetivo comparar el nivel medio de los sujetos procedentes de diferentes grupos organizados en niveles definidos de forma jerárquica. Se presenta un modelo psicométrico multinivel basado en la Teoría de Respu...
Article
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This article describes a multidimensional generalization of the nominal categories model that serves to estimate factorial models from nominal and ordinal observed responses, and includes a structural model for latent variables that distinguishes between endogenous and exogenous factors. The model includes a scale parameter for each response catego...
Article
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Cognitive Diagnostic Models (CDMs) aim to provide information about the degree to which individuals have mastered specific attributes that underlie the success of these individuals on test items. The Q-matrix is a key element in the application of CDMs, because contains links item-attributes representing the cognitive structure proposed for solve t...
Article
The application of mean and covariance structure analysis with quantitative data is increasing. However, latent means analysis with qualitative data is not as widespread. This article summarizes the procedures to conduct an analysis of latent means of dichotomous data from an item response theory approach. We illustrate the implementation of these...
Article
Items that are clustered according to shared content may violate the principle of conditional independence commonly used in item response theory. This paper investigates the capabilities of a logistic item response model in relation to locally dependent item responses. The model includes main effect and interaction parameters that are computed as l...
Article
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The present paper aimed to examine questionnaire response patterns and objective task-based test behavioral patterns in order to analyze the differences people show in consistency. It is hypothesized that people tend to be more consistent when talking about themselves (when describing themselves through verbal statements) that when they solve a tas...
Article
Self-adapted testing is a variety of computer-based testing in which the examinees are allowed to select the difficulty of each individual item. This operation mode was proposed to reduce the anxiety of the examinees and increase comfort during the test. A number of empirical investigations have shown that self-adaptive testing contributes to reduc...
Article
A comprehensive analysis of difficulty for multiple-choice items requires information at different levels: the test, the items, and the alternatives. This paper introduces a new parameterization of the nominal categories model (NCM) for analyzing difficulty at these three levels. The new parameterization is referred to as the NE–NCM and is statisti...
Article
Full-text available
An important methodological concern of any research based on a person-environment (P-E) fit approach is the operationalization of the fit, which imposes some measurement requirements that are rarely empirically tested with statistical methods. Among them, the assessment of the P and E components along commensurate dimensions is possibly the most ci...
Article
The generalized logit–linear item response model (GLLIRM) is a linearly constrained nominal categories model (NCM) that computes the scale and intercept parameters for categories as a weighted sum of basic parameters. This paper addresses the problems of the identifiability of the basic parameters and the equivalence between different GLLIRM models...
Article
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Testing the fit of finite mixture models is a difficult task, since asymptotic results on the distribution of likelihood ratio statistics do not hold; for this reason, alternative statistics are needed. This paper applies the pi* goodness of fit statistic to finite mixture item response models. The pi* statistic assumes that the population is compo...
Article
This paper introduces the generalized logit-linear item response model (GLLIRM), which represents the item-solving process as a series of dichotomous operations or steps. The GLLIRM assumes that the probability function of the item response is a logistic function of a linear composite of basic parameters which describe the operations, and the coeff...
Article
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Testing model fit for latent structure models (latent trait models and latent class models) is difficult because of the lack of goodness-of-fit statistics with a known distribution. This paper describes the application of the pi* goodness-of-fit statistic to latent structure models. The statistic pi* is based on the concept of latent classes and ha...
Article
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Several studies have demonstrated that the fixed-sample stopping rule (FSR), in which the sample size is determined in advance, is less practical and efficient than are sequential-stopping rules. The composite limited adaptive sequential test (CLAST) is one such sequential-stopping rule. Previous research has shown that CLAST is more efficient in t...
Article
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Trait psychology implicitly assumes consistency of the personal traits. Mischel, however, argued against the idea of a general consistency of human beings. The present article aims to design a statistical procedure based on an adaptation of the π* statistic to measure the degree of intraindividual consistency independently of the measure used. Thre...
Article
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Sequential rules are explored in the context of null hypothesis significance testing. Several studies have demonstrated that the fixed-sample stopping rule, in which the sample size used by researchers is determined in advance, is less practical and less efficient than sequential stopping rules. It is proposed that a sequential stopping rule called...
Article
Complete response vectors of all answer options in multiple-choice items can be used to estimate ability. The rising selection ratios criterion is necessary for scoring individuals because it implies that estimated ability always increases when the correct alternative is selected. This paper introduces the generalized DLT model, which assumes risin...
Article
This article presents a psychometric model for estimating ability and item-selection strategies in self-adapted testing. In contrast to computer adaptive testing, in self-adapted testing the examinees are allowed to select the difficulty of the items. The item-selection strategy is defined as the distribution of difficulty conditional on the respon...
Article
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Two psychometric models are presented for evaluating the difficulty of the distractors in multiple-choice items. They are based on the criterion of rising distractor selection ratios, which facilitates interpretation of the subject and item parameters. Statistical inferential tools are developed in a Bayesian framework: modal a posteriori estimatio...
Article
Full-text available
Resumen El presente trabajo revisa la investigación en tests adaptativos informatizados desde el año 2000, fecha de nuestra última revisión (Hontangas, Ponsoda, Olea y Abad (2000). Los tests adaptativos informatizados en la frontera del siglo XXI: una revisión. Metodología de las Ciencias del Comportamiento, 2, 183-216). La revisión de centra en lo...
Article
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A new type of self-adapted test (S-AT), called Assisted Self-Adapted Test (AS-AT), is presented. It differs from an ordinary S-AT in that prior to selecting the difficulty category, the computer advises examinees on their best difficulty category choice, based on their previous performance. Three tests (computerized adaptive test, AS-AT, and S-AT)...
Article
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Psychometric properties of computerized testing, together with anxiety and comfort of examinees, are investigated in relation to item selection routine and the opportunity for response review. Two different hypotheses involving examinee anxiety were used to design test properties: perceived control and perceived performance. The study involved thre...
Article
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The goal of this study was to assess the feasibility of an approach to adaptive testing using item models based on the quantitative section of the Graduate Record Examination (GRE) test. An item model is a means of generating items that are isomorphic, that is, equivalent in content and equivalent psychometrically. Item models, like items, are cali...
Article
Full-text available
Este artículo presenta el programa CLASE, que permite estimar los modelos de escalamiento clásico para la tarea de comparaciones binarias (Dunn-Rankin y Thurstone), clasificación de objetos (intervalos aparentemente iguales e intervalos sucesivos) y la teoría de detección de señales. El programa está pensado como una herramienta didáctica para ser...
Article
Summarizes the main requirements and applications of computerized adaptive testing (CAT) with emphasis on the differences between CAT and conventional computerized tests. Psychometric properties of estimations based on CAT, item selection strategies, and implementation software are described. Results of CAT studies in Spanish-speaking samples are d...
Article
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ty of the examinees manifest a clear preference for item review because they perceive that the test is more fair and consider it a disadvantage if review is disallowed (Vispoel, 1993). In assessment contexts where the tests scores have important consequences for subjects, it is assumed that the opportunity to review increases the comfort of the exa...
Article
This article focuses on the errors of the item parameter estimates and their effect on the reliability of the test scores. In particular we consider the errors introduced by the process of creating item isomorphs. The research is conducted by means of a Monte Carlo simulation. The simulation includes several conditions regarding the size of the err...
Article
Full-text available
Two computerized versions of an English vocabulary test for Spanish speakers (an adaptive and a fixed one) were applied in a Spanish sample of first-year psychology undergraduate students. The effects of test type (computer-adaptive vs. computerized-fixed) and review condition (allowed vs. not allowed) on several psychological variables were examin...
Article
Full-text available
En este artículo se aborda el problema de la imprecisión en los parámetros de los ítems y su efecto las puntuaciones de los sujetos en los tests adaptativos. En particular se considera la imprecisión introducida en el test por el proceso de incluir ítems isomorfos en el banco. La investigación se lleva a cabo mediante un estudio de Monte Carlo en e...
Article
Full-text available
Easy and difficult versions of self-adapted tests (SATs) and computerized adaptive tests (CATs) were compared. No significant differences were found among the 4 tests (easy SAT, difficult SAT, easy CAT and difficult CAT) for either estimated ability or posttest state anxiety. Significant differences were found for the number of correct responses, t...
Article
Full-text available
En este trabajo se delimitan los componentes de dificultad que intervienen en la resolución de los ítems de un test de matemáticas que incluye 66 ítems de operaciones con números enteros positivos y negativos. Se estudia el ajuste al modelo de Rasch y se estiman los parámetros de dificultad de los componentes mediante el modelo LLTM de Fischer. Se...
Article
Full-text available
En este artículo se aborda el problema del uso de métodos directos para la comprobación del criterio de 'conmensurabilidad de unidades de medida' en las medidas sobre ajuste persona-ambiente mediante la aplicación de un modelo politómico de rasgo latente. Se utilizó el modelo de respuesta nominal de Bock (1972; 1997) para evaluar el ajuste estadíst...
Article
Full-text available
En: Psicológica : Revista de Metodología y Psicología Experimental Valencia 1999, v.20, n. 2 ; p. 121-134 En este trabajo se delimitan los componentes de dificultad que intervienen en la resolución de los ítems de un test de matemáticas que incluye 66 ítems de operaciones con números enteros positivos y negativos. Se estudia el ajuste al modelo de...
Article
Full-text available
El programa ANATRI permite estudiar varios modelos de Teoría de la Respuesta al Item para items dicotómicos y politómicos. Los modelos para items dicotómicos incluidos son los denominados como de 1, 2, 3 y 4 parámetros, en sus versiones normal y logística. Los modelos para items politómicos son el modelo de respuesta graduada, el modelo de crédito...
Article
Two new methods for item exposure control were proposed. In the Progressive method, as the test progresses, the influence of a random component on item selection is reduced and the importance of item information is increasingly more prominent. In the Restricted Maximum Information method, no item is allowed to be exposed in more than a predetermine...
Article
The initial efforts to transform a paper and pencil test into a computerized test based on automatic item generation are described in this paper. It has three main sections: Section one describes a psychometric model and its use to predict item difficulties. Section two describes a mechanism to generate new items with a given difficulty. Finally, s...
Article
The ANATRI program helps the user in studying dichotomous and polyto-mous Item Response Theory models. Normal and logistic versions for the 1-, 2-, 3- and 4-parameter models are included. Three polytomous models (Partial Credit, Nominal Response and Graded Response) are also available. The user chooses the model and specifies its parameters for one...
Article
This study, using Spanish high school students, compared four types of a computer-based English vocabulary test: (a) a self-adapted test (SAT), (b) a computerized adaptive test (CAT), (c) a conventional test of randomly selected items, and (d) a test that combined SAT and CAT (SCAT). No statistically significant differences were found among the tes...
Article
Resumen Se aplicó el modelo logístico de tres parámetros de la TRI a un banco de items de vocabulario inglés. Se compararon los niveles de habilidad estimados a partir del banco completo con los estimados a partir de una TAI basado en el principio de máxima información y con el rendimiento en el Oxford Placement Test (Allan, 1992). La principales c...
Article
This article describes an easy-to-use program for computer-adaptive testing. Two files have to be provided to use the program: the bank of items and the file containing their parameters. The program has been checked by simulation. Data on the accuracy of ability estimation are offered. Details on how to run the program and the format of both requir...
Article
Se aplicaron dos versiones informatizadas de un test de vocabulario inglés para hispanohablantes (uno fijo y otro adaptativo) a una muestra de estudiantes españoles de primer curso de Psicología. Se estudiaron los efectos del tipo de test (fijo versus adaptativo) y de la condición de revisión (permitida versus no permitida) sobre diversas variables...
Article
En este trabajo se presentan tres nuevos métodos de control de las tasas de exposición de los items en tests adaptativos informatizados. El primero de ellos añade un componente aleatorio al método de máxima información. En el segundo se controla directamente la tasa de cada item, y sólo se administran aquellos items cuya tasa sea menor de un cierto...
Article
A new method for computing ability estimates when the response vector contains only errors or correct responses is proposed. It is based on the Stepsize method (Dodd, 1990). Instead of taking as the new ability the midpoint between the last computed ability and the corresponding extreme b- value, the new method proposes as the new estimate the mean...
Article
Full-text available
En este artículo se describen los primeros pasos para transformar un test de lápiz y papel en un test adaptativo basado en la generación automática de ítems. El artículo tiene tres secciones principales: en la primera se describe la estimación de un modelo psicométrico componencial a partir del test de lápiz y papel, la segunda trata sobre la creac...
Article
Contiene: Simulación estadística; Ejemplos de aplicaciones en Ciencias Sociales; Diseño de estudios de simulación; Simulación de valores aleatorios; Evaluación de generadores de números aleatorios; Monte Carlo mediante cadenas de Markov; Simulaicón de datos perdios; Análisis de resultados; Aplicaciones informáticas.
Article
Full-text available
Doctoral dissertation presented in the Autonoma University of Madrid. Date 5-5-2000. Written in English. Introduces an Item Response Theory model for the analysis of multiple-choice items. Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Psicología, Departamento de Psicología Social y Metodología. Fecha de lectura 5-5...

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Projects (4)
Project
This projects applies the nominal factor analysis (NFA) over a situational judgement test (named the scale of gender stereotypes, SGS) and explores its dimensionality and factor invariance across different generics forms.