ArticleFrontiers in psychology2021
Psychometric Properties and Rasch Validation of the Teachers' Version of the Perception of Resources Questionnaire.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Refining and adapting the measurement properties of evidence-based practice measures for physiotherapy students.PloS one · 2024Article
- Factors influencing special education teachers' self-efficacy to provide transitional services for students with disabilities.Frontiers in psychology · 2023Article
- Evaluation of two weight stigma scales in Malaysian university students: weight self-stigma questionnaire and perceived weight stigma scale.Eating and weight disorders : EWD · 2022Article
- Psychometric Properties and Rasch Validation of the Teachers' Version of the Perception of Resources Questionnaire.Frontiers in psychology · 2021Article
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3 authors.
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Abstract
Research indicates that the perception of available resources is a key factor for the implementation of inclusive education. Regarding the teachers, a relatively high level of perceived personnel and physical resources is associated with more positive attitudes toward inclusive education and experiencing a higher level of self-efficacy. Thus, this study aims to examine the psychometric properties of the teacher version of the Perceptions of Resources Questionnaire (PRQ-T). Data were collected from a sample of 1,078 in-service teachers in Austria. Different statistical analyses were used, including Rasch analysis and confirmatory factor analysis. The results indicated good psychometric properties of the PRQ-T regarding internal consistency measured by person separation index (PSI) and construct validity by both confirmatory factor analysis and the Rasch analysis. Moreover, the findings supported that the PRQ-T is a two-factor scale to measure teachers' perceptions of personnel and physical resources in inclusive education. Further studies with different samples are necessary to confirm the findings.
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