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      Validity of the school setting interview for students with special educational needs in regular high school – a Rasch analysis

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          Abstract

          Background

          Participation in education is a vital component of adolescents’ everyday life and a determinant of health and future opportunities in adult life. The School Setting Interview (SSI) is an instrument which assesses student-environment fit and reflects the potential needs for adjustments to enhance students’ participation in school activities. The aim of the study was to investigate the psychometric properties of the SSI for students with special educational needs in regular high school.

          Methods

          A sample of 509 students with special educational needs was assessed with the SSI. The polytomous unrestricted Rasch model was used to analyze the psychometric properties of the SSI regarding targeting, model fit, differential item functioning (DIF), response category functioning and unidimensionality.

          Results

          The SSI generally confirmed fit to assumptions of the Rasch model. Reliability was acceptable (0.73) and the SSI scale was able to separate students into three different levels of student-environment fit. DIF among gender was detected in item “Remember things” and in item “Homework” DIF was detected among students with or without diagnosis. All items had disordered thresholds. The SSI demonstrated unidimensionality and no response dependence was present among items.

          Conclusion

          The results suggest that the SSI is valid for use among students with special educational needs in order to provide and evaluate environmental adjustments. However, the items with the detected DIF and the SSI rating scale with its disordered thresholds needs to be further scrutinized.

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          Most cited references32

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          Sample size and item calibration stability

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            Probabilistic models for some intelligence and attainment tests.

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              Using the Rasch model in nursing research: an introduction and illustrative example.

              The purpose was to introduce the Rasch model by showing an application in nursing research. The Rasch model was used to examine the psychometric properties of the nursing self-efficacy (NSE) scale. Data were collected among nursing students in Sweden. Two sets of items were analysed more thoroughly: an original set of nine items with eleven response categories and a revised set of seven items with seven response categories. Invariance of the item functioning and the categorisation of the items were analysed. Targeting was examined by comparisons of the items and persons locations. Differential Item Functioning across sample groups such as gender was examined using analysis of variance. The final set of seven items was also analysed more closely with respect to possible multidimensionality and response dependence. The Rasch analysis of the original set of nine items showed high reliability measured by a person separation index, but it also indicated severe problems with the targeting, the categorisation of the items as well as lack of invariance. Although the revised set comprising seven items with seven categories performed better than the original item set some items showed misfit according to formal test statistics. Graphical examination showed, however, that the items operated in the right direction. The formal test of local independence of the items indicated minor signs of multidimensionality, alternatively response dependence. The Rasch model is useful for rigorous examination and development of measurement instruments in nursing research. The Rasch model facilitates disclosure of lack of invariance and other measurement problems that may not be easily detected by traditional analyses. Hence, the NSE-scale would probably have performed much better if the developmental work had been guided by Rasch analyses. In future work on the scale, priority should be given to improving the targeting and the categorisation of the items.
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                Author and article information

                Contributors
                +4611 36 31 55 , Moa.yngve@liu.se
                Michaela.munkholm@liu.se
                Helene.lidstrom@liu.se
                Helena.hemmingsson@liu.se
                Elin.ekbladh@liu.se
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                12 January 2018
                12 January 2018
                2018
                : 16
                : 12
                Affiliations
                ISNI 0000 0001 2162 9922, GRID grid.5640.7, Department of Social and Welfare Studies, , Linköping University, ; Norrköping, Sweden
                Author information
                http://orcid.org/0000-0003-1073-1977
                Article
                830
                10.1186/s12955-017-0830-6
                5767062
                29329584
                f9cef19f-aeed-407b-92e1-237a8c93dee7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 8 June 2017
                : 18 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003945, Linköpings Universitet;
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                psychometrics,neuropsychiatric disorder,dyslexia,assessment,instrument development,person-environment fit,participation,support in school,occupational therapy

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