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Miguel A. SorrelAutonomous University of Madrid | UAM · Social and Methodological Psychology
Miguel A. Sorrel
PhD
About
71
Publications
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Introduction
Miguel A. Sorrel got is PhD at the Deparment of Social and Methodology Psychology at Universidad Autónoma de Madrid. His research interest include item response theory, cognitive diagnosis modeling, and computerized adaptive testing.
Additional affiliations
September 2019 - present
September 2018 - September 2019
May 2015 - present
Publications
Publications (71)
Research on unconscious processing has been a valuable source of evidence in psycholinguistics for shedding light on the cognitive architecture of language. The automaticity of syntactic processing, in particular, has long been debated. One strategy to establish this automaticity involves detecting significant syntactic priming effects in tasks tha...
Forced-choice (FC) questionnaires have gained scientific interest over the last decades. However, the inclusion of unequally keyed item pairs in FC questionnaires remains a subject of debate, as there is evidence supporting both their usage and avoidance. Designing unequally keyed pairs may be more difficult when considering social desirability, as...
The Personal Need for Structure (PNS) scale assesses individuals’ tendency to seek out clarity and structured ways of understanding and interacting with their environment. The main aim of this study was to adapt the PNS scale to Spanish and assess its psychometric properties. There are two versions of the PNS scale being used, which vary in the num...
The automaticity of syntax has been a long-debated topic in psycholinguistics. One strategy to establish it involves finding significant evidence of syntactic priming in experimental tasks that restrict conscious awareness. Two common criteria to assess the unconscious nature of priming are that visibility (d') of masked words is not significantly...
Expressed emotion is a construct that has so far been studied in a clinical population, although this work proposes its study in adolescent population without psychopathology. It has three aims: 1) To analyse the psychometric characteristics of the Level of Expressed Emotion Scale in the relationship of the Spanish adolescents with their father and...
Research on unconscious processing has been a valuable source of evidence in psycholinguistics for shedding light on the cognitive architecture of language. The automaticity of syntactic processing, in particular, has long been debated. One strategy to establish it involves detecting significant syntactic priming effects in tasks that limit conscio...
Objective
The purpose of this research was to design and psychometrically validate a new instrument (the Biobehavioural Pain and Movement Questionnaire/BioPMovQ), which assesses the relationship between pain and various factors related to motor behaviour from a biobehavioural perspective.
Methods
A mixed-method design combining a qualitative study...
Background: Ensuring the validity of assessments requires a thorough examination of the test content. Subject matter experts (SMEs) are commonly employed to evaluate the relevance, representativeness, and appropriateness of the items. This article proposes incorporating item response theory (IRT) into model assessments conducted by SMEs. Using IRT...
Technology-facilitated sexual violence (TFSV) includes different forms of digital violence, such as online gender-based violence, online gender- and sexuality-based violence, digital sexual harassment, online sexual coercion, and nonconsensual pornography. The aim of this study was to design and validate a measure to assess the perpetration and vic...
Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual‐purpose model for simultaneously estimating students' overall ability and the presence and absence of misconcep...
The purpose of this study is to present the development and analysis of the factorial structure and psychometric properties of a new self-administered questionnaire (Dizziness Fear-Avoidance Behaviours and Beliefs Inventory (D-FABBI)) designed to measure fear-avoidance behaviors and cognitions related to dizziness disability.
A mixed-method design...
Background:
Need for affect (NA) refers to individual differences in the motivation to approach or avoid emotion-inducing situations and activities. Prior research has demonstrated that NA is a relevant construct for understanding psychological processes related to affect. The present study aimed to adapt and validate the English version of the Ne...
The number of available factor analytic techniques has been increasing in the last decades. However, the lack of clear guidelines and exhaustive comparison studies between the techniques might hinder that these valuable methodological advances make their way to applied research. The present paper evaluates the performance of confirmatory factor ana...
Combining formative and summative evaluations could improve assessment. Cognitive diagnosis modeling (CDM) has been proposed as a tool for diagnosing students’ strengths and weaknesses in formative assessment. However, there is no user-friendly software to implement it. For this reason, a Shiny app, FoCo, has been developed (https://foco.shinyapps....
The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have...
Cognitive diagnostic models (CDMs) are increasingly being used in various assessment contexts to identify cognitive processes and provide tailored feedback. However, the most commonly used estimation method for CDMs, marginal maximum likelihood estimation with Expectation–Maximization (MMLE-EM), can present difficulties when sample sizes are small....
The nonparametric classification (NPC) method has been proven to be a suitable procedure for cognitive diagnostic assessments at a classroom level. However, its nonparametric nature impedes the obtention of a model likelihood, hindering the exploration of crucial psychometric aspects, such as model fit or reliability. Reporting the reliability and...
Introduction
The present study sought to analyze the relationships between different forms of technology-facilitated sexual violence (TFSV) perpetration and victimization, including gender- and sexuality-based harassment, digital sexual harassment, and image-based sexual abuse (IBSA), which includes both sextortion and non-consensual pornography....
Writing and defending a thesis is a requirement to earn a university degree. Previous findings indicate that self-efficacy is related to academic performance. However, no existing tools register students’ perception of efficacy towards writing and defining academic texts. Our purpose was to develop and validate such a scale. Scale scores content, s...
Cognitive diagnosis models (CDMs) are used in educational, clinical, or personnel selection settings to classify respondents with respect to discrete attributes, identifying strengths and needs, and thus allowing to provide tailored training/treatment. As in any assessment, an accurate reliability estimation is crucial for valid score interpretatio...
The inclusion of the borderline pattern in the International Classification of Diseases, 11th Revision (ICD-11) dimensional classification of personality disorders (PDs) has caused controversy. Unease about leaving out these clinically challenging patients seems to conflict with the need of an evidence-based and credible diagnostic system. However,...
The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domai...
The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domai...
Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in non-cognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, IRT models enable the estimation of non-ipsative scores from FC res...
"Language computational models such as Latent Semantic Analysis (LSA) has been criticized for not having direct contact with the real world. However, recent findings have shown the ability of the LSA to capture embodied features such as words’ emotional content. In the present study we tested whether LSA can predict the emotions contained in short...
A sample suffers range restriction (RR) when its variance is reduced comparing with its population variance and, in turn, it fails representing such population. If the RR occurs over the latent factor, not directly over the observed variable, the researcher deals with an indirect RR, common when using convenience samples. This work explores how thi...
Available data indicate that the frequency of Problematic Smartphone Use (PSU) has been increasing over the years. Although there is some debate as to whether or not this behavior corresponds to true addiction, comorbidity has been found with problematic outcomes typically related to traditional addictions. Thus, there is interest in better underst...
The new methodological and technological developments of the last decade make it possible to resolve or, at least, attenuate the psychometric problems of forced-choice (FC) tests for the measurement of personality. In these tests, the person being tested is shown blocks of two or more sentences of similar social desirability, from which he or she m...
A sample suffers range restriction (RR) when its variance is reduced comparing to its population variance and, in turn, it fails representing such population. If the RR occurs over the latent factor, not directly over the observed variable, the researcher deals with an indirect RR, common when using convenience samples. This work explores how this...
Cognitive diagnosis models (CDMs) have increasingly been applied in education and other fields. This article provides an overview of a widely used CDM, namely, the G-DINA model, and demonstrates a hands-on example of using multiple R packages for a series of CDM analyses. This overview involves a step-by-step illustration and explanation of perform...
El objetivo del trabajo es Ilustrar y comparar el proceso de validación del Big Five con dos modelos: (1) Análisis Factorial: toma las correlaciones y extrae factores e interpreta éstos como causantes de las respuestas en los ítems. (2) Redes Psicométricas: toma las correlaciones parciales, las regulariza y crea una red de conexiones entre ítems, d...
At present, there are two models of pathological personality represented in two measurement instruments, the Personality Inventory for DSM-5 (PID-5) and the Personality Inventory for ICD-11 (PiCD). Although both instruments have shown high convergence, the PID-5 has the advantage of including facets that might offer greater predictive capacity. An...
Cognitive diagnosis models (CDMs) are confirmatory latent class models that provide fine-grained information about skills and cognitive processes. These models have gained attention in the last few years because of their usefulness in educational and psychological settings. Recently, numerous developments have been made to allow for the implementat...
The validity of cross-cultural comparisons of test scores requires that scores have the same meaning across cultures, which is usually tested by checking the invariance of the measurement model across groups. In the last decade, a large number of studies were conducted to verify the equivalence across cultures of the dimensional Alternative Model o...
The use of multidimensional forced-choice questionnaires has been proposed as a means of improving validity in the assessment of non-cognitive attributes in high-stakes scenarios. However, the reduced precision of trait estimates in this questionnaire format is an important drawback. Accordingly, this article presents an optimization procedure for...
The current research asks whether children’s judgments of harmful actions toward animals depend on animals’ perceived attractiveness. In Study 1, primary school children ( N = 359) rated the perceived attractiveness of six animals and judged how severe it is to hurt them, as compared to moral transgressions, social-conventional transgressions, and...
Cognitive diagnosis models (CDMs) allow classifying respondents into a set of discrete attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct specification is necessary to achieve an accurate attribute profile classification. Several empirical Q-matrix estimation and validation methods have been proposed w...
Decisions on how to calibrate an item bank might have major implications in the subsequent performance of the adaptive algorithms. One of these decisions is model selection, which can become problematic in the context of cognitive diagnosis computerized adaptive testing, given the wide range of models available. This article aims to determine wheth...
The Q‐matrix identifies the subset of attributes measured by each item in the cognitive diagnosis modelling framework. Usually constructed by domain experts, the Q‐matrix might contain some misspecifications, disrupting classification accuracy. Empirical Q‐matrix validation methods such as the general discrimination index (GDI) and Wald have shown...
Recent 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....
In the context of cognitive diagnosis models, a Q-matrix reflects the correspondence between attributes and items. The Q-matrix construction process is typically subjective in nature, which may lead to misspecifications. All this can negatively affect the attribute classification accuracy. In response, several methods of empirical Q-matrix validati...
Currently, there are two predominant approaches in adaptive testing. One, referred to as cognitive diagnosis computerized adaptive testing (CD-CAT), is based on cognitive diagnosis models, and the other, the traditional CAT, is based on item response theory. The present study evaluates the performance of two item selection rules (ISRs) originally d...
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction proces...
Cognitive diagnosis models (CDMs) are latent class models that hold great promise for providing diagnostic information about student knowledge profiles. The increasing use of computers in classrooms enhances the advantages of CDMs for more efficient diagnostic testing by using adaptive algorithms, referred to as cognitive diagnosis computerized ada...
Although research suggests parents influence the development of their children's environmental attitudes (EA) and behaviors (EB), the possible impact of other socialization agents is largely unknown. This article takes a closer look at how parents and friends may shape 9 to 13 year-olds’ EA and EB. Parents' EA and EB were registered via questionnai...
Research related to the fit evaluation at the item level involving cognitive diagnosis models (CDMs) has been scarce. According to the parsimony principle, balancing goodness of fit against model complexity is necessary. General CDMs require a larger sample size to be estimated reliably, and can lead to worse attribute classification accuracy than...
There has been an increase of interest in psychometric models referred to as cognitive diagnosis models. A critical concern is selecting the most appropriate model. Several tests for model comparison have been employed, which include the likelihood ratio (LR) and the Wald (W) tests. Although the LR test is relatively more robust than the W test, th...
Contemporary models of personality assume a hierarchical structure in which broader traits contain narrower traits. Individual differences in response styles also constitute a source of score variance. In this study, the bifactor model is applied to separate these sources of variance for personality subscores. The procedure is illustrated using dat...
The goal of the current investigation was to analyze ability emotional intelligence (EI) in a large cross-sectional sample of Spanish adults (N = 12,198; males, 56.56%) aged from 17 to 76 years (M = 37.71, SD = 12.66). Using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), which measures ability EI according to the 4 branches of the M...
Research on psychological restoration has mainly focused on how exposure to certain physical characteristics of the environment leads to restorative benefits. However, restorative processes are inherently relational, and more attention should be paid to qualities of human-environment transactions in restorative experiences. We developed and tested...
Conventional methods for assessing the validity and reliability of situational judgment test (SJT) scores have proven to be inadequate. For example, factor analysis techniques typically lead to nonsensical solutions, and assumptions underlying Cronbach’s alpha coefficient are violated due to the multidimensional nature of SJTs. In the current artic...
Despite the globalization of HRM, there is a dearth of research on the potential use of contextualized selection instruments such as situational judgment tests (SJTs) in other countries than those where the selection instruments were originally developed. Therefore, two studies are conducted to examine the transportability of an integrity SJT that...
Little is known about the developmental course of young children's acquisition of pro-environmental practices. This study takes a closer look at the relationship between age on 6-12 year-olds (N = 107) and pro-environmental behaviors (EB). Using a well-validated game format tool based on the Rasch model to collect the data, children's EB were regis...
IQ summary scores may not involve equivalent psychological meaning for different educational levels. Ultimately, this relates to the distinction between constructs and measurements. Here, we explore this issue studying the standardization of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) for Spain. A representative sample of 743 ind...
Background:
Children's pro-ecological behaviors are usually registered using scales based on the idea of a simple connection between attitudes and behaviors. However, this relationship seems to be more complicated. The Children's Ecological Behavior (CEB) Scale has been proposed as an alternative. Based on the Rasch model, it considers the differe...