Evaluation of the psychometric properties of the burn specific health scale-brief: A National Institute on Disability, Independent Living, and Rehabilitation Research Burn Model System Study

2021 ◽  
Author(s):  
Dagmar Amtmann ◽  
Alyssa Bamer ◽  
Kara McMullen ◽  
Colleen M Ryan ◽  
Jeffrey C Schneider ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Burn Injury ◽  
Local Dependence ◽  
Response Theory ◽  
Response Options ◽  
Ceiling Effects ◽  
Item Response Theory Models ◽  
Specific Health

Abstract Objective The Burn Specific Health Scale-Brief (BSHS-B) is a commonly used burn specific health outcome measure that includes 40 items across nine subscales. The objective of this study was to use both classical and modern psychometric methods to evaluate psychometric properties of the BSHS-B. Methods Data were collected post burn injury by a multisite federally funded project tracking long term outcomes. We examined dimensionality, local dependence, item fit, and functioning of response categories, homogeneity, and floor and ceiling effects. Items were fit to Item Response Theory models for evaluation. Results A total of 653 adults with burn injury completed the BSHS-B. Factor analyses supported unidimensionality for all subscales, but not for a total score based on all 40 items. All nine of the subscales had significant ceiling effects. Six item pairs displayed local dependence suggesting redundance and 11 items did not fit the Item Response Theory models. At least 15 items have too many response options. Conclusions Results identified numerous psychometric issues with the BSHS-B. A single summary score should never be used for any purpose. Psychometric properties of the scale need to be improved by removing redundant items, reducing response categories and modifying or deleting problematic items. Additional conceptual work is needed to, at a minimum, revise the work subscale and optimally to revisit and clearly define the constructs measured by all the subscales. Additional items are needed to address ceiling effects.

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.

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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