Detecting Violations of Unidimensionality by Order-Restricted Inference Methods
Frontiers in Applied Mathematics and Statistics, 2016 The assumption of unidimensionality and quantitative measurement represents one of the key concepts underlying most of the commonly applied of item response models.
Moritz Heene
exaly +3 more sources
The Utility of the Bifactor Method for Unidimensionality Assessment When Other Methods Disagree
SAGE Open, 2016 This article provides an empirical illustration of the utility of the bifactor method for unidimensionality assessment when other methods disagree. Specifically, we used two popular methods for unidimensionality assessment: (a) evaluating the model fit ...
Yong Luo, Khaleel Al-Harbi
exaly +2 more sources
Item Analysis of the Behavior Rating Inventory of Executive Function‐Adults Version Using the Rasch Model in Two Forms for People With Schizophrenia in Taiwan [PDF]
International Journal of Methods in Psychiatric ResearchBackground The Behavior Rating Inventory of Executive Function‐Adults version (BRIEF‐A) consists of two forms, self‐report and informant‐report. Each form encompasses nine scales to assess executive functions.
En‐Chi Chiu +3 more
doaj +2 more sources
Psychometric properties of the 12-item short form health survey version 2 among general Thai samples: a Rasch analysis [PDF]
Journal of Pharmaceutical Policy and PracticeBackground Although the 12-item Short Form Health Survey version 2 (SF-12v2) is suitable for measuring health status in the general Thai population, it has been evaluated using classical test theory. Rasch analysis, however, offers a psychometric testing
Krittaphas Kangwanrattanakul
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Rasch Validation of the FRTVMI in Arab Adolescents: Cultural and Gender Considerations in Visual–Motor Assessment [PDF]
Occupational Therapy InternationalThis study examined the construct validity of the Full Range Test of Visual–Motor Integration (FRTVMI) among adolescents aged 11–16 years in Oman, Qatar, and Kuwait using the Rasch measurement model. A total of 2464 students were selected through cluster
Ehab Mohamed Naguib Omara +6 more
doaj +2 more sources
The impact of missing data rates and imputation methods on the assumption of unidimensionality. [PDF]
PLoS ONEStatistical models are essential tools in data analysis. However, missing data plays a pivotal role in impacting the assumptions and effectiveness of statistical models, especially when there is a significant amount of missing data.
Ayman Omar Baniamer
doaj +2 more sources
Rasch validation of the Arabic version of the beach center family quality of life scale (BCFQOL-AR)
Frontiers in Psychology, 2022 AimThis study aimed to examine the dimensionality of the BCFQOL-AR using Rasch analysis.MethodThe sample consisted of 320 families having a member with intellectual or developmental disabilities.
Ghaleb Hamad Alnahdi
doaj +1 more source
Behavioral Sciences, 2022 Background: The Schizophrenia Coping Oral Health Profile and Index (SCOOHPI) scale studies the coping strategies of schizophrenic patients with regard to oral health. The structural validity of this scale is studied has been studied using factor analyses.
Mohamad Hamad +4 more
doaj +1 more source
Frontiers in Psychology, 2022 Critiques of coefficient alpha as an estimate of scale reliability are widespread in the literature. However, the continuous overuse of this statistic in mathematics education research suggests a disconnection between theory and practice.
Yusuf F. Zakariya
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ARDP: SIMPLIFIED MACHINE LEARNING PREDICTOR FOR MISSING UNIDIMENSIONAL ACADEMIC RESULTS DATASET [PDF]
Applied Computer Science, 2023 In this paper, we present the Academic Results Datasets Predictor (ARDP), for missing academic results datasets, based on chi-squared expected calculation, positional clustering, progressive approximation of relative residuals, and positional averages of
Olufemi A. FOLORUNSO +2 more
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