scholarly journals Análise do Emotion Recognition Index através da Teoria de Resposta ao Item

2020 ◽  
Vol 42 ◽  
pp. e58
Author(s):  
Ricardo Alberti ◽  
Fernando De Jesus Moreira Junior ◽  
Silvio José Lemos Vasconcellos ◽  
Felipe Coelho Argolo ◽  
Nathalia Ruviaro ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Emotion Recognition ◽  
Item Response ◽  
Logistic Model ◽  
Latent Trait ◽  
Emotional Perception ◽  
The Face ◽  
Psychometric Tool ◽  
The Voice ◽  
Two Parameter

Background: The Emotion Recognition Index (ERI) is a psychometric tool develop to evaluate emotional perception. Its items were selected using Classical Tests Theory. Objectives and Methods: Evaluate ERI items performance under current psychometric theories, using Item Response Theory (IRT) thought a two parameter logistic model. Results: 12 items were removed from the Face Module to fulfill the unidimensionality assumption. 20 items were eliminated from the Voice Module because they presented low discrimination values. Both modules presented information curves peaks among low latent trait values. Discussion: Findings suggest ERI is mostly composed of low difficulty items. ERI is best used to evaluate individuals with low emotional perception. Authors suggest further studies should use IRT to select items for instruments evaluating emotional perception.

scholarly journals About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

2021 ◽  
Author(s):  
Alexander Robitzsch
Keyword(s):  
Item Response ◽  
Logistic Model ◽  
Latent Trait ◽  
Response Model ◽  
Item Response Model ◽  
Numerical Illustration ◽  
Scoring Model ◽  
Estimation Techniques ◽  
Pisa Data ◽  
Two Parameter

This article shows that the recently proposed latent D-scoring model of Dimitrov is statistically equivalent to the two-parameter logistic item response model. An analytical derivation and a numerical illustration are employed for demonstrating this finding. Hence, estimation techniques for the two-parameter logistic model can be used for estimating the latent D-scoring model. In an empirical example using PISA data, differences of country ranks are investigated when using different metrics for the latent trait. In the example, the choice of the latent trait metric matters for the ranking of countries. Finally, it is argued that an item response model with bounded latent trait values like the latent D-scoring model might have advantages for reporting results in terms of interpretation.

scholarly journals About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1465
Author(s):  
Alexander Robitzsch
Keyword(s):  
Item Response ◽  
Logistic Model ◽  
Latent Trait ◽  
Response Model ◽  
Item Response Model ◽  
Numerical Illustration ◽  
Scoring Model ◽  
Estimation Techniques ◽  
Pisa Data ◽  
Two Parameter

This article shows that the recently proposed latent D-scoring model of Dimitrov is statistically equivalent to the two-parameter logistic item response model. An analytical derivation and a numerical illustration are employed for demonstrating this finding. Hence, estimation techniques for the two-parameter logistic model can be used for estimating the latent D-scoring model. In an empirical example using PISA data, differences of country ranks are investigated when using different metrics for the latent trait. In the example, the choice of the latent trait metric matters for the ranking of countries. Finally, it is argued that an item response model with bounded latent trait values like the latent D-scoring model might have advantages for reporting results in terms of interpretation.

scholarly journals Teoria da Resposta ao Item para analisar atitudes e concepções de acadêmicos na Disciplina de Estatística

2020 ◽  
Vol 42 ◽  
pp. e40
Author(s):  
Rosebel Trindade Cunha Prates ◽  
Fernando De Jesus Moreira Junior ◽  
Angela Isabel dos Santos Dullius ◽  
Angela Pelegrin Ansuj ◽  
Rafaella Trindade Cunha Prates ◽  
...  
Keyword(s):  
Data Analysis ◽  
Standard Deviation ◽  
Item Response Theory ◽  
Item Response ◽  
Undergraduate Students ◽  
Logistic Model ◽  
Positive Statements ◽  
Negative Statements ◽  
Santa Maria ◽  
Two Parameter

The research aimed to analyze the attitudes and the conception of undergraduate students of the Federal University of Santa Maria in relation to the discipline of Statistics. Were interviewed 256 academics from various undergraduate courses who attended the discipline of Statistics. The applied questionnaire adopted the Likert scale, composed of 20 statements about Statistics, where 10 were positive statements and 10 negative statements, and for data analysis used the Two Parameter Logistic Model of Item Response Theory. The results showed that all 20 items have a good quality and can adequately estimate the level of feeling of students who have a medium feeling in relation to Statistics, between about 1.5 standard deviation around the average. However, there is a lack of items to adequately measure those students who have extreme feelings about Statistics, that is, those who are positioned 1.5 standard deviation above or below average.

Item Response Theory Analysis of the Anxiety and Mood Disorders in Clinic-Referred Children

Assessment ◽  
2016 ◽  
Vol 25 (2) ◽  
pp. 235-246
Author(s):  
Rapson Gomez ◽  
Alasdair Vance
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Logistic Model ◽  
Convergent Validity ◽  
Depressive Disorders ◽  
Factor Model ◽  
Medium Effect ◽  
Response Theory ◽  
Medium Effect Size ◽  
Two Parameter

There is evidence that the major anxiety and depressive disorders could reflect a single underlying internalization factor. For a group of 1,031 clinic-referred children, the study examined support for this factor, and used the two-parameter logistic model to examine the item response theory properties of the disorders in this factor. For the set of anxiety and depressive disorders, confirmatory factor analysis supported a one-factor model. The two-parameter logistic model analysis indicated that all the internalizing disorders in this factor were strong discriminators of the internalizing dimension. Also, they measured more of the internalizing dimension and with more precision in the upper half of the trait continuum. There was also support for the convergent validity of the internalizing dimension, in that it had large-to-medium effect size correlations with internalizing scores of other measures. The implications of the findings for clinical practice and clinical classification are discussed.

scholarly journals A Short Note on Estimating the Testlet Model With Different Estimators in Mplus

2017 ◽  
Vol 78 (3) ◽  
pp. 517-529 ◽  
Author(s):  
Yong Luo
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Latent Variable ◽  
Short Note ◽  
Bifactor Model ◽  
Estimation Methods ◽  
Full Information ◽  
Modeling Software ◽  
Two Parameter ◽  
Item Response Theory Models

Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and full-information estimation methods.

scholarly journals Assessing the physical violence component of the Revised Conflict Tactics Scales when used in heterosexual couples: an item response theory analysis

2007 ◽  
Vol 23 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Michael E. Reichenheim ◽  
Ruben Klein ◽  
Claudia Leite Moraes
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Physical Violence ◽  
Latent Trait ◽  
Heterosexual Couples ◽  
Heterosexual Relationships ◽  
Response Theory ◽  
Conflict Tactics Scales ◽  
Conflict Tactics ◽  
Revised Conflict Tactics Scales

Although there are psychometric evaluations of the Revised Conflict Tactics Scales (CTS2) when applied to heterosexual relationships, none has used item response theory (IRT). To address this gap, the present paper assesses the instrument's physical violence subscale. The CTS2 was applied to 764 women who also responded for their partners. Single dimensionality assumption was corroborated. A 2-parameter logistic IRT model was used for estimating location and discriminating power of each item. Differential item functioning and item information pattern along the violence continuum were assessed. Gender differences were detected in 3 out of 12 items. Item coverage of the latent trait spectrum indicated little information at the lower ends, while plenty in the middle and upper ranges. Still, depending on gender, some item overlaps and regions with gaps could be detected. Despite some unresolved problems, the analysis shows that the items form a theoretically coherent information set across the continuum. Provided the user is aware of possible drawbacks, using the physical violence subscale of the CTS2 in heterosexual couples is still a sensible option.

scholarly journals Item Response Theory Analysis of ADHD Symptoms in Children With and Without ADHD

Assessment ◽  
2016 ◽  
Vol 23 (6) ◽  
pp. 655-671 ◽  
Author(s):  
James J. Li ◽  
Steven P. Reise ◽  
Andrea Chronis-Tuscano ◽  
Amori Yee Mikami ◽  
Steve S. Lee
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Latent Trait ◽  
Dimensional Structure ◽  
Adhd Symptoms ◽  
Response Theory ◽  
Confirmatory Factor Analyses ◽  
Item Response Theory Analysis ◽  
Graded Response ◽  
Moderate Range

Item response theory (IRT) was separately applied to parent- and teacher-rated symptoms of attention-deficit/hyperactivity disorder (ADHD) from a pooled sample of 526 six- to twelve-year-old children with and without ADHD. The dimensional structure ADHD was first examined using confirmatory factor analyses, including the bifactor model. A general ADHD factor and two group factors, representing inattentive and hyperactive/impulsive dimensions, optimally fit the data. Using the graded response model, we estimated discrimination and location parameters and information functions for all 18 symptoms of ADHD. Parent- and teacher-rated symptoms demonstrated adequate discrimination and location values, although these estimates varied substantially. For parent ratings, the test information curve peaked between −2 and +2 SD, suggesting that ADHD symptoms exhibited excellent overall reliability at measuring children in the low to moderate range of the general ADHD factor, but not in the extreme ranges. Similar results emerged for teacher ratings, in which the peak range of measurement precision was from −1.40 to 1.90 SD. Several symptoms were comparatively more informative than others; for example, is often easily distracted (“Distracted”) was the most informative parent- and teacher-rated symptom across the latent trait continuum. Clinical implications for the assessment of ADHD as well as relevant considerations for future revisions to diagnostic criteria are discussed.

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