Response Shift After a Mindfulness-Based Intervention: Measurement Invariance Testing of the Comprehensive Inventory of Mindfulness Experiences
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Mindfulness-based interventions (MBIs) have been linked to positive outcomes for a range of psychological and physical health conditions, prompting the need for a high degree of validity and reliability in the measurement of mindfulness. While a number of mindfulness self-report instruments are available with demonstrated psychometric robustness, limited empirical data are available on the extent to which ratings at different time points may be affected by changes in standards of reference that may occur as a result from having completed an MBI. The present study investigated the presence of response shift in a sample of 181 MBI course participants who completed the 37-item Comprehensive Inventory of Mindfulness Experiences (CHIME) during the first and final week of the course. Measurement invariance testing using confirmatory factor analysis investigated invariance of the factor structure (configural invariance), factor loadings (metric invariance), and intercepts (scalar invariance) across the two measurement time points. Lack of scalar invariance indicated evidence of response shift for 4 or possibly 7 of the 37 items. The relatively minor amount of response shift is encouraging for the field of mindfulness measurement, particularly since it has generally been hypothesized that mindfulness is particularly prone to this phenomenon. Further studies using other instruments and techniques to investigate response shift are recommended.
KeywordsMindfulness Comprehensive Inventory of Mindfulness Experiences (CHIME) Response shift Confirmatory factor analysis Measurement invariance Mindfulness-based interventions (MBIs)
Compliance with Ethical Standards
The study was conducted in compliance with the guidelines of the university ethics committee of one of the authors.
Conflict of Interest
The authors declare that they have no conflict of interest.
- Belzer, F., Schmidt, S., Lucius-Hoene, G., Schneider, J. F., Orellana-Rios, C. L., & Sauer, S. (2013). Challenging the construct validity of mindfulness assessment—a cognitive interview study of the Freiburg Mindfulness Inventory. Mindfulness, 4(1), 33–44. doi: 10.1007/s12671-012-0165-7.CrossRefGoogle Scholar
- Bergomi, C., Tschacher, W., & Kupper, Z. (2014). Konstruktion und erste Validierung eines Fragebogens zur umfassenden Erfassung von Achtsamkeit [Construction and initial validation of a questionnaire for the comprehensive investigation of mindfulness]. Diagnostica, 60(3), 111–125. doi: 10.1026/0012-1924/a000109.CrossRefGoogle Scholar
- Billington R., & Krägeloh, C. U. (2015). Quality of life and higher education. In M. A. Henning, C. U. Krägeloh, & G. Wong-Toi (Eds.), Student motivation and quality of life in higher education (pp. 28–36). Oxon, United Kingdom: Routledge.Google Scholar
- Buchheld, N., Grossman, P., & Walach, H. (2001). Measuring mindfulness in insight meditation (Vipassana) and meditation-based psychotherapy: the development of the Freiburg Mindfulness Inventory (FMI). Journal of Meditation and Meditation Research, 1(1), 11–34.Google Scholar
- Grossman, P. (2011). Defining mindfulness by how poorly I think I pay attention during everyday awareness and other intractable problems for psychology’s (re)invention of mindfulness: comment on Brown et al. (2011). Psychological Assessment, 23(4), 1034–1040. doi: 10.1037/a0022713.CrossRefPubMedGoogle Scholar
- Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: structural equation modelling with the SIMPLIS command language. Hillsdale: Erlbaum Associates.Google Scholar
- Levinson, D. B., Stoll, E. L., Kindy, S. D., Merry, H. L., & Davidson, R. J. (2014). A mind you can count on: validating breath counting as a behavioral measure of mindfulness. Frontiers in Psychology, 5, 1202. doi: 10.3389/fpsyg.2014.01202.
- Medvedev, O. N., Siegert, R. J., Feng, X. J., Billington, D. R., Jang, J. Y., & Krägeloh, C. U. (2016a). Measuring trait mindfulness: how to improve the precision of the Mindful Attention Awareness Scale using a Rasch model. Mindfulness, 7(2), 384–395. doi: 10.1007/s12671-015-0454-z.CrossRefGoogle Scholar
- Medvedev, O. N., Siegert, R. J., Kersten, P., & Krägeloh, C. U. (2017a). Improving the precision of the Five Facet Mindfulness Questionnaire using a Rasch approach. Mindfulness. doi: 10.1007/s12671-016-0676-8.
- Medvedev, O. N., Krägeloh, C. U., Narayanan, A., & Siegert, R. J. (2017b). Measuring mindfulness: applying generalizability theory to distinguish between state and trait. Mindfulness. doi: 10.1007/s12671-017-0679-0.