Application of Exploratory Factor Analysis and Item Response Theory to Validate the Genomic Nursing Concept Inventory

2016 ◽  
Vol 55 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Linda D. Ward ◽  
Brian F. French ◽  
Celestina Barbosa-Leiker ◽  
Andrew E.F. Iverson
2020 ◽  
pp. 102490792090836
Author(s):  
Nurul Fateha Abd Rahman ◽  
Tuan Hairulnizam Tuan Kamauzaman ◽  
Wan Nor Arifin ◽  
Abu Yazid Md Noh

Introduction: Triage errors can occur in all emergency departments, regardless of the type of triage system being used. One way to minimize triaging errors is by enhancing the triage officers’ knowledge and attitude on triage. The assessment of knowledge and attitude can be carried out by questionnaire assessment. This study aims to perform content, face, and construct validation on a newly developed triage questionnaire, QTrix, which is designed for healthcare personnel in a tertiary teaching hospital in Kelantan, Malaysia, that uses the three-tier Malaysian Triage Category system. Methods: This study consisted of two phases: the first phase was the questionnaire development phase, which included the content validity with the expert panel and the face validity using 30 respondents; and the second phase was the psychometric assessment phase, which included the item response theory and the exploratory factor analysis using 139 respondents. Results: The knowledge section with 12 remaining items was considered unidimensional by item response theory after removing items with extreme difficulty coefficients (outside the range of −3 to +3) and items with very low discrimination values (<0.35). After exploratory factor analysis, two items in the attitude section were removed due to low factor loadings (<0.3) and high item complexity. The reliability of the remaining 13 items in the attitude section was very good as shown by Cronbach’s alpha values of more than 0.8. Conclusion: The QTrix questionnaire is a well-validated and reliable tool to assess the knowledge and the attitude on triage. Its use among healthcare personnel can help minimize triaging errors in emergency departments that utilize the Malaysian Triage Category system.


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 ◽  
...  

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.


PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0153466 ◽  
Author(s):  
Rosalba Rosato ◽  
Silvia Testa ◽  
Antonio Bertolotto ◽  
Paolo Confalonieri ◽  
Francesco Patti ◽  
...  

2020 ◽  
Author(s):  
E. Damiano D'Urso ◽  
Kim De Roover ◽  
Jeroen K. Vermunt ◽  
Jesper Tijmstra

In social sciences, the study of group differences concerning latent constructs is ubiquitous. These constructs are generally measured by means of scales composed of ordinal items. In order to compare these constructs across groups, one crucial requirement is that they are measured equivalently or, in technical jargon, that measurement invariance holds across the groups. This study compared the performance of multiple group categorical confirmatory factor analysis (MG-CCFA) and multiple group item response theory (MG-IRT) in testing measurement invariance with ordinal data. A simulation study was conducted to compare the true positive rate (TPR) and false positive rate (FPR) both at the scale and at the item level for these two approaches under an invariance and a non-invariance scenario. The results of the simulation studies showed that the performance, in terms of the TPR, of MG-CCFA- and MG-IRT-based approaches mostly depends on the scale length. In fact, for long scales, the likelihood ratio test (LRT) approach, for MG-IRT, outperformed the other approaches, while, for short scales, MG-CCFA seemed to be generally preferable. In addition, the performance of MG-CCFA's fit measures, such as RMSEA and CFI, seemed to depend largely on the length of the scale, especially when MI was tested at the item level. General caution is recommended when using these measures, especially when MI is tested for each item individually. A decision flowchart, based on the results of the simulation studies, is provided to help summarizing the results and providing indications on which approach performed best and in which setting.


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