scholarly journals Comparative analysis of psychometric properties of mathematics items constructed by Waec and Neco in Nigeria using item response theory approach

2020 ◽  
Vol 15 (1) ◽  
pp. 1-7
Author(s):  
Olatunbosun James Aborisade ◽  
Olutoyin Olufunke Fajobi
Keyword(s):  
Comparative Analysis ◽  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Theory Approach ◽  
Response Theory

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

Psychometric properties of the Fear of Cancer Recurrence Inventory: an item response theory approach

2015 ◽  
Vol 25 (7) ◽  
pp. 832-838 ◽  
Author(s):  
Daniel S. J. Costa ◽  
Mbathio Dieng ◽  
Anne E. Cust ◽  
Phyllis N. Butow ◽  
Nadine A. Kasparian
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Cancer Recurrence ◽  
Fear Of Cancer Recurrence ◽  
Theory Approach ◽  
Response Theory ◽  
Fear Of Cancer

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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