Positive and Negative Affect Schedule: Psychometric Properties for the Brazilian Portuguese Version

2013 ◽  
Vol 16 ◽  
Author(s):  
Pedro Pires ◽  
Alberto Filgueiras ◽  
Rodolfo Ribas ◽  
Cristina Santana
Keyword(s):  
Item Response Theory ◽  
Negative Affect ◽  
Psychometric Properties ◽  
Item Response ◽  
Item Analysis ◽  
Theory Model ◽  
Positive And Negative Affect ◽  
Partial Credit Model ◽  
Cultural Issues ◽  
Response Theory

AbstractThis study is about the validity and item analysis for the Positive and Negative Affect Schedule (PANAS), respectively through the Exploratory Factor Analysis (principal components method) and the Partial Credit Model (PCM). The scale has been largely used in areas ranging from clinical to social psychology since its release in 1988 by Watson, Clark, and Tellegen. In order to assess validity and item properties (Item Response Theory paradigm), this is study administered PANAS to 354 respondents, 115 male and 239 female subjects, with an average age of 29.5 (SD = 10,18). The results show PANAS’s excellent psychometric properties, with consistent dimensions and reliable item functioning, considering the Rasch measurement paradigm expressed in the PCM as an Item Response Theory model for polytomous data. The study considers important cultural issues and the results support more cautious translations for scales as well as further studies concerned with cross-cultural differences on the perception of affect states.

How useful is each item in the Sport Spectator Identification Scale?: an item response theory analysis

2020 ◽  
Vol 21 (4) ◽  
pp. 651-667 ◽  
Author(s):  
Kyungyeol Anthony Kim ◽  
Senyung Lee ◽  
Kevin K Byon
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Partial Credit Model ◽  
Response Theory ◽  
Content Type ◽  
Response Options ◽  
Amount Of Information ◽  
Sport Spectator ◽  
Spectator Identification

PurposeThe purpose of this study is to evaluate the psychometric properties of each item in the Sport Spectator Identification Scale (SSIS) (Wann and Branscombe, 1993) using the item response theory (IRT) and to provide evidence for modifications in the scale.Design/methodology/approachA total of 635 spectators of US professional sports responded to the seven-item SSIS on an eight-point semantic differential scale. The general partial credit model was fitted to the data.FindingsThe results revealed that four items (Items 1, 2, 3 and 5) provide a relatively high amount of information, whereas three items (Items 4, 6 and 7) provide a low amount of information, indicating different levels of measurement precision among the items. Furthermore, the results showed that some low-level response options were rarely selected by participants, indicating that it may not be necessary to include response options as many as eight within each item.Originality/valueUnlike previous studies examining the psychometric properties of the SSIS as a whole, the present study provides information about the usefulness of each item of the SSIS in measuring individuals' team identification. Based on the findings, the authors identified some issues with the three problematic items, including the wording of the items and the link between the question and the target construct. The authors make several suggestions for researchers and practitioners in improving individual item quality and in making informed decisions when using the SSIS in the future.

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.

scholarly journals A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items

2021 ◽  
pp. 001316442199841
Author(s):  
Pere J. Ferrando ◽  
David Navarro-González
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Theory Model ◽  
Response Model ◽  
Response Theory ◽  
Continuous Response ◽  
Graded Responses ◽  
Graded Response ◽  
Continuous Responses ◽  
Differential Measurement Error

Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately) continuous responses, and the M-DTGRM (dual Thurstonian graded response model), intended for ordered-categorical responses (including binary). A rationale for the extension to the multiple-content-dimensions case, which is based on the concept of the multidimensional location index, is first proposed and discussed. Then, the models are described using both the factor-analytic and the item response theory parameterizations. Procedures for (a) calibrating the items, (b) scoring individuals, (c) assessing model appropriateness, and (d) assessing measurement precision are finally discussed. The simulation results suggest that the proposal is quite feasible, and an illustrative example based on personality data is also provided. The proposals are submitted to be of particular interest for the case of multidimensional questionnaires in which the number of items per scale would not be enough for arriving at stable estimates if the existing unidimensional DMs were fitted on a separate-scale basis.

Using Item Response Theory Models to Evaluate the Practice Environment Scale

2014 ◽  
Vol 22 (2) ◽  
pp. 323-341 ◽  
Author(s):  
Dheeraj Raju ◽  
Xiaogang Su ◽  
Patricia A. Patrician
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Information Criterion ◽  
Partial Credit Model ◽  
Practice Environment ◽  
Partial Credit ◽  
Response Theory ◽  
Environment Scale ◽  
Graded Response ◽  
Item Response Theory Models

Background and Purpose: The purpose of this article is to introduce different types of item response theory models and to demonstrate their usefulness by evaluating the Practice Environment Scale. Methods: Item response theory models such as constrained and unconstrained graded response model, partial credit model, Rasch model, and one-parameter logistic model are demonstrated. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) indices are used as model selection criterion. Results: The unconstrained graded response and partial credit models indicated the best fit for the data. Almost all items in the instrument performed well. Conclusions: Although most of the items strongly measure the construct, there are a few items that could be eliminated without substantially altering the instrument. The analysis revealed that the instrument may function differently when administered to different unit types.

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