A5076178827- Psychometric Methodologies and Testing
- Advanced Statistical Modeling Techniques
- Sensory Analysis and Statistical Methods
- Personality Traits and Psychology
- Cognitive Abilities and Testing
- Social and Intergroup Psychology
- Statistical Methods and Applications
- Child and Adolescent Psychosocial and Emotional Development
- Behavioral and Psychological Studies
- Stress and Burnout Research
- Mental Health Research Topics
- Educational Outcomes and Influences
- Advanced Statistical Methods and Models
- Behavioral Health and Interventions
- Optimism, Hope, and Well-being
- Childhood Cancer Survivors' Quality of Life
- Bullying, Victimization, and Aggression
- Personality Disorders and Psychopathology
- Aging, Health, and Disability
- Optimal Experimental Design Methods
- Multi-Criteria Decision Making
- COVID-19 and Mental Health
- Psychological Testing and Assessment
- Cancer survivorship and care
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Universitat Rovira i Virgili
2016-2025
Universitat de Barcelona
2014
Universitat de València
2006
This article proposes a comprehensive approach for assessing the quality and appropriateness of exploratory factor analysis solutions intended item calibration individual scoring. Three groups properties are assessed: (a) strength replicability factorial solution, (b) determinacy accuracy score estimates, (c) closeness to unidimensionality in case multidimensional solutions. Within each group, indices considered two types factor-analytic models: linear model continuous responses...
We aim to provide a conceptual view of the origins, development and future directions FACTOR, popular free program for fitting factor analysis (FA) model.The study is organized into three parts. In first part we discuss FACTOR in its initial period (2006-2012) as traditional FA with many new cutting-edge features. The second discusses present (2013-2016) which has developed comprehensive embedded framework structural equation modelling item response theory. third expected developments.at...
Oblique rotation of factors is usually performed in exploratory factor analysis order to achieve the best and simplest interpretation solution based on prescribed number factors. Currently available algorithms, however, do not take into account fluctuation correlations which based. If such correlations' stability low, rotated obtained a specific sample may substantially differ from solutions different samples same population. The present paper proposes modified version Promin designed simple...
<p xmlns="http://www.ncbi.nlm.nih.gov/JATS1">Kaiser’s single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before factor analysis (FA) solution fitted to an item-pool dataset item selection purposes. For reasons discussed in the article, however, MSA hardly used nowadays this context. In our view, unfortunate. present proposal, we first discuss foundation and rationale from ‘modern’ FA as well its usefulness process. Second, embed within...
This article can be considered to an extension of a previous work by Lloret et al. (2014) in which we discuss more depth two particularly relevant topics item factor analysis: (a) how chose the most appropriate correlation matrix, and (b) arrive at realistic interpretable semi-confirmatory solution making use available information. The discussion these strongly reflects views authors. So, encourage interested reader take it critically. For both offer practical recommendations. However, is...
Least-squares exploratory factor analysis based on tetrachoric/polychoric correlations is a robust, defensible and widely used approach for performing item analysis, especially in the first stages of scale development. A relatively common problem this scenario, however, that inter-item correlation matrix fails to be positive definite. This paper, which largely intended practitioners, aims provide didactic discussion about causes, consequences remedies problem. The more applied than...
<p xmlns="http://www.ncbi.nlm.nih.gov/JATS1">A shortcoming of least-squares unrestricted factor analysis (UFA) procedures, which are widely used in psychometric applications is that a test statistic for assessing model-data fit cannot be easily derived from the minimum function value. This paper proposes chi-square type goodness-of-fit intended principal-axis, MINRES, and minimum-rank UFA procedures. The empirically obtained via intensive simulation based on two-stage approach. First,...
El Análisis Factorial Exploratorio (AFE) constituye una técnica de uso habitual en la investigación psicométrica.A pesar su popularidad, las aplicaciones que hacemos los investigadores no siempre se ajustan a recomendaciones expertos.En este trabajo analizan 46 del AFE publicados seis ejemplares RIDEP (42,2 47,2).Las cotejan con existentes cuanto a: (a) naturaleza datos factorizar y adecuación AFE, (b) procedimientos extracción factorial, (c) criterios para definir el número factores, (d)...
This article describes a general item response theory model for personality items that allows the information provided by times to be used estimate individual trait levels. The submodel describing is modification of Thissen's log-linear and based on distance-difficulty hypothesis in measurement. First, procedures fitting assessing goodness fit are described. Second, gain precision estimating levels when assessed. Finally, all developments this illustrated means an empirical example.
This article proposes a procedure for fitting pure exploratory bifactor solution in which the general factor is orthogonal to group factors, but loadings on factors can satisfy any or oblique rotation criterion. The proposal combines Procrustes rotations with analytical and consists of sequence four steps. basic input semispecified target matrix that be (a) defined by user, (b) obtained using Schmid-Leiman orthogonalization, (c) automatically built from conventional unrestricted based...
In the classical exploratory factor analysis (EFA) model, residuals are constrained to be uncorrelated. However, since 1960s, extensions of model that allow correlated modeled exist. Furthermore, in many EFA applications (especially those intended for item analysis) it is highly relevant decide whether an extended solution more appropriate than simpler solution. This decision, turn, requires effective and powerful methods detecting (doublets) when they really present available. paper...
In unrestricted or exploratory factor analysis (EFA), there is a wide range of recommendations about the size samples should be to attain correct and stable solutions. general, however, these are either rules thumb based on simulation results. As it hard establish extent which particular data set suits conditions used in study, advice produced by studies not direct enough practical use. Instead trying provide general complex recommendations, this article, we propose estimate sample that...