scholarly journals Assessing Cognitive Abilities Using the WAIS-IV: An Item Response Theory Approach

2021 ◽  
Vol 18 (13) ◽  
pp. 6835
Author(s):  
Gomaa Said Mohamed Abdelhamid ◽  
Marwa Gomaa Abdelghani Bassiouni ◽  
Juana Gómez-Benito
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Item Response ◽  
Cognitive Abilities ◽  
Theory Approach ◽  
Response Theory ◽  
Adult Intelligence Scale ◽  
Irt Models ◽  
Scale Properties ◽  
Latent Traits

Background: The Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has been adapted to 28 different cultures and there has been considerable interest in examining its structure through exploratory and confirmatory factor analysis. This study investigates item and scale properties of the Egyptian WAIS-IV using item response theory (IRT) models. Methods: The sample consisted of 250 adults from Egypt. The item-level and subtest statistical properties of the Egyptian WAIS-IV were established using a combination of four dichotomous IRT models and four polytomous IRT models. In addition, factor analysis was performed to investigate the dimensionality of each subtest. Results: Factor analysis indicated the unidimensionality of each subtest. Among IRT models, the two-parameter logistic model provided a good fit for dichotomous subtests, while the graded response model fitted the polytomous data. Most items of the Egyptian WAIS-IV showed high discrimination, and the scale was adequately informative across the levels of latent traits (i.e., cognitive variables). However, each subtest included at least some items with limited ability to distinguish between individuals with differing levels of the cognitive variable being measured. Furthermore, most subtests have items that do not follow the difficulty rank they are ascribed in the WAIS-IV manual. Conclusions: Overall, the results suggest that the Egyptian WAIS-IV offers a highly valid assessment of intellectual abilities, despite the need for some improvements.

scholarly journals Latent Variable Modelling and Item Response Theory Analyses in Marketing Research

2016 ◽  
Vol 16 (2) ◽  
pp. 163-174 ◽  
Author(s):  
Justyna Brzezińska
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Latent Variables ◽  
Latent Variable ◽  
Marketing Research ◽  
Response Theory ◽  
Irt Models ◽  
Latent Variable Modelling ◽  
Item Responses ◽  
Latent Traits

Abstract Item Response Theory (IRT) is a modern statistical method using latent variables designed to model the interaction between a subject’s ability and the item level stimuli (difficulty, guessing). Item responses are treated as the outcome (dependent) variables, and the examinee’s ability and the items’ characteristics are the latent predictor (independent) variables. IRT models the relationship between a respondent’s trait (ability, attitude) and the pattern of item responses. Thus, the estimation of individual latent traits can differ even for two individuals with the same total scores. IRT scores can yield additional benefits and this will be discussed in detail. In this paper theory and application with R software with the use of packages designed for modelling IRT will be presented.

Psychometric properties of the Epworth Sleepiness Scale: A factor analysis and item-response theory approach

2018 ◽  
Vol 35 (4) ◽  
pp. 533-545 ◽  
Author(s):  
June J. Pilcher ◽  
Fred S. Switzer ◽  
Alec Munc ◽  
Janet Donnelly ◽  
Julia C. Jellen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Epworth Sleepiness Scale ◽  
Theory Approach ◽  
Response Theory

Construct validity of the Smoker Complaint Scale: A clinimetric analysis using Item Response Theory (IRT) models

2021 ◽  
Vol 117 ◽  
pp. 106849
Author(s):  
Danilo Carrozzino ◽  
Kaj Sparle Christensen ◽  
Giovanni Mansueto ◽  
Fiammetta Cosci
Keyword(s):  
Item Response Theory ◽  
Construct Validity ◽  
Item Response ◽  
Response Theory ◽  
Irt Models

scholarly journals The Revised Mood Rhythm Instrument: A Large Multicultural Psychometric Study

2021 ◽  
Vol 10 (3) ◽  
pp. 388
Author(s):  
Melissa Alves Braga de Oliveira ◽  
Euclides de Mendonça Filho ◽  
Alicia Carissimi ◽  
Luciene Lima dos Santos Garay ◽  
Marina Scop ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Network Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Response Theory ◽  
Item Response Theory Analysis ◽  
Increased Risk ◽  
Psychometric Analyses ◽  
Self Reporting Questionnaire

Background: Recent studies with the mood rhythm instrument (MRhI) have shown that the presence of recurrent daily peaks in specific mood symptoms are significantly associated with increased risk of psychiatric disorders. Using a large sample collected in Brazil, Spain, and Canada, we aimed to analyze which MRhI items maintained good psychometric properties across cultures. As a secondary aim, we used network analysis to visualize the strength of the association between the MRhI items. Methods: Adults (n = 1275) between 18–60 years old from Spain (n = 458), Brazil (n = 415), and Canada (n = 401) completed the MRhI and the self-reporting questionnaire (SRQ-20). Psychometric analyses followed three steps: Factor analysis, item response theory, and network analysis. Results: The factor analysis indicated the retention of three factors that grouped the MRhI items into cognitive, somatic, and affective domains. The item response theory analysis suggested the exclusion of items that displayed a significant divergence in difficulty measures between countries. Finally, the network analysis revealed a structure where sleepiness plays a central role in connecting the three domains. These psychometric analyses enabled a psychometric-based refinement of the MRhI, where the 11 items with good properties across cultures were kept in a shorter, revised MRhI version (MRhI-r). Limitations: Participants were mainly university students and, as we did not conduct a formal clinical assessment, any potential correlations (beyond the validated SRQ) cannot be ascertained. Conclusions: The MRhI-r is a novel tool to investigate self-perceived rhythmicity of mood-related symptoms and behaviors, with good psychometric properties across multiple cultures.

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