Abstract
Mindfulness has emerged as an important contributor to health and well-being, although its accurate assessment represents an ongoing challenge. The 39-item Five Facet Mindfulness Questionnaire (FFMQ) is a widely used measure of trait mindfulness that includes five subscales: observing, describing, acting with awareness, non-judging, and non-reacting to inner experience. While the instrument has been shown to possess generally acceptable psychometric properties, no work so far has been conducted to increase the precision of the instrument and its subscales in discriminating between individual trait levels. The present study used Rasch analysis to assess the psychometric properties of the FFMQ using a sample of 296 participants, with the intention to improve the scale if necessary. The best fit to the Rasch model for all five FFMQ subscales and the total scale was achieved after minor modifications that involved combining locally dependent items into subtests and removing two items (24 and 32) that critically affected the goodness-of-fit indices. These findings support the psychometric properties and internal construct validity of the modified FFMQ, and ordinal-to-interval Rasch conversion tables are included here that can be used to increase the precision of measurement without requiring any modifications of the original FFMQ response format. These findings have implications for a wide range of areas where more accurate assessment of mindfulness and its facets is necessary.
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References
Andrich, D. (1978). Rating formulation for ordered response categories. Psychometrica, 43, 561–573.
Andrich, D., Hagquist, C. (2015). Real and artificial differential item functioning in polytomous items. Educational and Psychological Measurement, 75(2), 185–207.
Andrich, D., Sheridan, B., & Luo, G. (2009). RUMM 2030. Perth: RUMM Laboratory.
Baer, R. (2003). Mindfulness training as a clinical intervention: a conceptual and empirical review. Clinical Psychology: Science and Practice, 10(2), 125–142.
Baer, R., Samuel, D. B., & Lykins, E. L. B. (2010). Differential item functioning on the five facet mindfulness questionnaire is minimal in demographically matched meditators and nonmeditators. Assessment, 20(10), 1–8.
Baer, R. A., Smith, G. T., & Allen, K. B. (2004). Assessment of mindfulness by self-report: the Kentucky inventory of mindfulness skills. Assessment, 11(3), 191–206.
Baer, R., Smith, G., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27–45.
Baer, R., Smith, G., Lykins, E. L. B., Button, D., Krietemeyer, J., Sauer, S., Walsh, E., Duggan, D., & Williams, J. M. G. (2008). Construct validity of the five facet mindfulness questionnaire in meditating and nonmeditating samples. Assessment, 15(3), 329–342.
Brogden, H. E. (1977). The Rasch model, the law of comparative judgment and additive conjoint measurement. Psychometrika, 42(4), 631–634.
Brown, K. W., & Kasser, T. (2005). Are psychological and ecological well-being compatible? The role of values, mindfulness, and lifestyle. Social Indicators Research, 74(2), 349–368.
Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822–848.
Cash, M., & Whittingham, K. (2010). What facets of mindfulness contribute to psychological well-being and depressive, anxious, and stress-related symptomatology? Mindfulness, 1(3), 177–182.
Chadwick, P., Hember, M., Symes, J., Peters, E., Kuipers, E., & Dagnan, D. (2008). Responding mindfully to unpleasant thoughts and images: reliability and validity of the Southampton mindfulness questionnaire (SMQ). The British Journal of Clinical Psychology, 47(4), 451–455.
Chambers, R., Gullone, E., & Allen, N. B. (2009). Mindfulness emotion regulation: an integrative review. Clinical Psychology Review, 29(6), 560–572.
Chiesa, A., & Serretti, A. (2010). A systematic review of neurobiological and clinical features of mindfulness meditations. Psychological Medicine, 40(8), 1239–1252.
Christopher, M. S., Neuser, N. J., Michael, P. G., & Baitmangalkar, A. (2012). Exploring the psychometric properties of the five facet mindfulness questionnaire. Mindfulness, 3(2), 124–131.
Fisak, B., & von Lehe, A. C. (2012). The relation between the five facets of mindfulness and worry in a non-clinical sample. Mindfulness, 3(1), 15–21.
Goh, H. E., Marais, I., & Ireland, M. J. (2015). A Rasch model analysis of the mindful attention awareness scale. Assesment. doi:DOI. doi:10.1177/1073191115607043.
Hayes, A. M., & Feldman, G. (2004). Clarifying the construct of mindfulness in the context of emotion regulation and the process of change in therapy. Clinical Psychology: Science and Practice, 11, 255–262.Hayes, S. C., Follette, V. M., & Linehan, M. M. (Eds.). (2004). Mindfulness and acceptance: expanding cognitive-behavioral tradition. New York: The Guilford Press.
Hobart, J., & Cano, S. (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. Health Technology Assessment, 13(12), 1–200.
Hofmann, S. G., Sawyer, A. T., Witt, A. A., & Oh, D. (2010). The effect of mindfulness-based therapy on anxiety and depression: a meta-analytic review. Journal of Consulting and Clinical Psychology, 78(2), 169–183.
Inchausti, F., Prieto, G., & Delgado, A. R. (2014). Rasch analysis of the Spanish version of the mindful attention awareness scale (MAAS) in a clinical sample. Revista de Psiquiatría y Salud Mental, 7(1), 32–41.
Josefsson, T., Lindwall, M., & Broberg, A. G. (2014). The effects of a short-term mindfulness based intervention on self-reported mindfulness, decentering, executive attention, psychological health, and coping style: examining unique mindfulness effects and mediators. Mindfulness, 5(1), 18–35.
Kabat-Zinn, J. (1994). Wherever you go, there you are: mindfulness meditation in everyday life. New York: Hyperion.
Linacre, J. M. (1994). Sample size and item calibration stability. Rasch Measurement Transactions, 7, 328.
Lundgren Nilsson, Å., & Tennant, A. (2011). Past and present issues in Rasch analysis: the functional independence measure (FIM™) revisited. Journal of Reabilitation Medicine, 43, 884–891.
Lundgren-Nilsson, Å., Jonsdottir, I. H., Ahlborg, G., & Tennant, A. (2013). Construct validity of the psychological general well being index (PGWBI) in a sample of patients undergoing treatment for stress-related exhaustion: a Rasch analysis. Health and Quality of Life Outcomes, 11, 2.
Lyvers, M., Makin, C., Toms, E., Thorberg, F. A., & Samios, C. (2014). Trait mindfulness in relation to emotional self-regulation and executive function. Mindfulness, 5(6), 619–625.
Masters G., A. (1982) Rasch model for partial credit scoring. Psychometrica, 47, 149–174.
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.
Medvedev, O. N., Siegert, R. J., Kersten, P., & Krägeloh, C. U. (2016b). Rasch analysis of the Kentucky inventory of mindfulness skills. Mindfulness, 7(2), 466–478.
Norquist, J. M., Fitzpatrick, R., Dawson, J., & Jenkinson, C. (2004). Comparing alternative Rasch-based methods vs raw scores in measuring change in health. Medical Care, 42(1), I25–I36.
Park, T., Reilly-Spong, M., & Gross, C. R. (2013). Mindfulness: a systematic review of instruments to measure an emergent patient-reported outcome (PRO). Quality of Life Research, 22(10), 2639–2659.
Pearson, M. R., Brown, D. B., Bravo, A. J., & Witkiewitz, K. (2015). Staying in the moment and finding purpose: the associations of trait mindfulness, decentering, and purpose in life with depressive symptoms, anxiety symptoms, and alcohol-related problems. Mindfulness, 6(3), 645–653.
Penfield, R. D. (2007). An approach for categorizing DIF in polytomous items. Applied Measurement in Education, 20, 335–355.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment test. Copenhagen: Danish Institute for Educational Research.
Rasch, G. (1961). On general laws and the meaning of measurement in psychology.University of California Press. Symposium conducted at the meeting of the Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability., Berkeley, California.
Sauer, S., Ziegler, M., Danay, E., Ives, J., & Kohls, N. (2013). Specific objectivity of mindfulness—a Rasch analysis of the Freiburg mindfulness inventory. Mindfulness, 4(1), 45–54.
Segal, Z. V., Williams, J. M. G., & Teasdale, J. D. (2013). Mindfulness-based cognitive therapy for depression (2nd ed.). New York: Guilford Press.
Siegert, R. J., Tennant, A., & Turner-Stokes, L. (2010). Rasch analysis of the Beck depression inventory-II in a neurological rehabilitation sample. Disability and Rehabilitation, 32(1), 8–17.
Smith, E. V. (2002). Detecting and evaluation the impact of multidimensionality using item fit statistics and principal component analysis of residuals. Journal of Applied Measurement, 3, 205–231.
Statistics New Zealand. (2013). Census ethnic group profiles. Wellington: New Zealand Government.
Stucki, G., Daltroy, L., Katz, J. N., Johannesson, M., & Liang, M. H. (1996). Interpretation of change scores in ordinal clinical scales and health status measures: the whole may not equal the sum of the parts. Journal of Clinical Epidemiology, 49(7), 711–717.
Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis & Rheumatism, 57(8), 1358–1362.
Tennant, A., & Pallant, J. F. (2006). Unidimensionality matters! (a tale of two Smiths?). Rasch Measurement Transactions, 20, 1048–1051.
Van Dam, N. T., Earleywine, M., & Danoff-Burg, S. (2009). Differential item function across meditators and non-meditators on the five facet mindfulness questionnaire. Personality and Individual Differences, 47, 516–521.
Wainer, H., & Kiely, G. (1987). Item clusters and computerized adaptive testing: a case for testlets. Journal of Educational Measurement, 24(3), 185–201.
Walach, H., Buchheld, N., Buttenmüller, V., Kleinknecht, N., & Schmidt, S. (2006). Measuring mindfulness—the Freiburg mindfulness inventory (FMI). Personality and Individual Differences, 40(8), 1543–1555.
Zoogman, S., Goldberg, S. B., Hoyt, W. T., & Miller, L. (2015). Mindfulness interventions with youth: a meta-analysis. Mindfulness, 6(2), 290–302.
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This study is a part of doctoral work of the first author funded by the Vice-Chancellor’s Scholarship of the Auckland University of Technology.
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We declare no conflicts of interest in connection with this paper. The study was conducted in compliance with the guidelines of the authors’ university ethics committee.
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Medvedev, O.N., Siegert, R.J., Kersten, P. et al. Improving the Precision of the Five Facet Mindfulness Questionnaire Using a Rasch Approach. Mindfulness 8, 995–1008 (2017). https://doi.org/10.1007/s12671-016-0676-8
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DOI: https://doi.org/10.1007/s12671-016-0676-8