Rasch Measurement Theory
Psychometric analyses using the Rasch model are increasingly used in the social and health sciences. The model is named after the Danish mathematician Georg Rasch.
The Rasch model is applied when developing and evaluating unidimensional scales composed of frequency questions or Likert items. The Rasch model enables examinations whether a scale meets requirements of invariance comparisons. It follows that the Rasch model is a useful tool to detect Differential Item Functioning, i.e. evidence that items work differently among sample groups, for example for boys and for girls.
Rasch Measurement Theory (RMT) is an integral part of much of the research conducted at CFBUPH. We have been using the RMT to examine the psychometric properties of many scales in the social and health sciences. Most of this work has been published in scientific journals. We have also published a number of methodological papers based on RMT.
We are collaborating with the GSE Psychometric Laboratory at the University of Western Australia, which is headed by Professor David Andrich.
CFBUPH offers introductory courses on Rasch Measurement Theory. The next course will start during the autumn semester of 2019. Instructor is Professor Curt Hagquist at CFBUPH. The course comprises 7.5 credits and will be run in English.
The software RUMM2030 will be made available to the participants. RUMM2030 is a user-friendly Windows interactive program for analysing data with Rasch Unidimensional Models for Measurement.
The course will be included in the advanced course program provided by the unit of psychology at Karlstad University. The course will be announced in March 2019. For further information, contact Curt Hagquist via email: firstname.lastname@example.org
We are active in international expert groups and networks on RMT. We regularly present our most recent research at international conferences.
On 22-26 May 2017 CFBUPH hosted the sixth annual meeting of the European Rasch Training Group (ERTG). Researchers from Austria, Denmark, England, Germany, Sweden and Switzerland participated at the meeting.
Steigen, A. M., & Bergh, D. (2018). The Social Provisions Scale: Psychometric properties of the SPS-10 among participants in nature-based services. Disability and Rehabilitation, 1-9. doi:10.1080/09638288.2018.1434689
Lönnfjord, V., & Hagquist, C. (2017). The psychometric properties of the Swedish version of the General Self-Efficacy Scale: A Rasch analysis based on adolescent data. Current Psychology, 1-13. Advance online publication. doi:10.1007/s12144-016-9551-y
Hagquist, C., Andrich, C. (2017) Recent Advances in Analysis of Differential Item Functioning in Health Research using the Rasch Model. Health and Quality of Life Outcomes, 15:181, doi:10.1186/s12955-017-0755-0. Open access.
Hagquist, C., Välimaa, R., Simonsen, N., & Suominen, S. (2017). Differential Item Functioning in Trend Analyses of Adolescent Mental Health – Illustrative Examples Using HBSC-data from Finland. Child Indicators Research, 10(3), 673-691. doi:10.1007/s12187-016-9397-8
Kleppang, A. L., & Hagquist, C. (2016). The psychometric properties of the Hopkins Symptom Checklist-10: A Rasch analysis based on adolescent data from Norway. Family Practice, 33(6), 740-745. doi:10.1093/fampra/cmw091
Hagquist, C., & Andrich, A. (2015). Determinants of artificial DIF – a study based on simulated polytomous data. Psychological Test and Assessment Modeling, 57(3), 342-376.
Bergh, D. (2015). Chi-Squared Test of Fit and Sample Size-A Comparison between a Random Sample Approach and a Chi-Square Value Adjustment Method. Journal of Applied Measurement, 16(2), 204-217.
Andrich, D., & Hagquist, C. (2015). Real and Artificial Differential Item Functioning in Polytomous Items. Educational and Psychological Measurement, 75(2), 185-207. DOI:10.1177/0013164414534258
Hagquist, C., & Hellström, L. (2014). The Psychometric Properties of the Early Development Instrument: A Rasch Analysis Based on Swedish Pilot Data. Social Indicators Research, 117(1), 301-317. DOI:10.1007/s11205-013-0344-5
Andrich, D. & Hagquist, C. (2012). Real and artificial differential item functioning. Journal of Educational and Behavioral Statistics, 37(3), 387-416.
Hagquist, C. (2009). Psychosomatic health problems among adolescents in Sweden- are the time trends gender related? European Journal of Public Health, 19(3), 331.
Hagquist, C., Bruce, M. & Gustavsson, J. P. (2009). Using the Rasch model in nursing research: An introduction and illustrative example. International Journal of Nursing Studies, 46(3), 380-393.
Hagquist, C. (2008). Psychometric properties of the PsychoSomatic problems scale: A Rasch analysis on adolescent data. Social Indicators Research, 86(3), 511-523.
Hagquist, C. (2007). The psychometric properties of the self-reported SDQ–An analysis of Swedish data based on the Rasch model. Personality and Individual Differences, 43(5), 1289-1301.
Hagquist, C. & Andrich, D. (2004). Is the sense of coherence-instrument applicable on adolescents? A latent trait analysis using Rasch-modelling. Personality and Individual Differences, 36(4), 955-968.
Hagquist, C. & Andrich, D. (2004). Measuring subjective health among adolescents in Sweden: A Rasch analysis of the HBSC-instrument. Social Indicators Research, 68(2), 201-220.
Hagquist, C. (2001). Evaluating composite health measures using Rasch modelling: An illustrative example. Sozial-Und Präventivmedizin/Social and Preventive Medicine, 46(6), 369-378.