Abstract
Objectives
Accurate evaluation of mindfulness-based training requires understanding of the differences between state and trait changes, and the Generalizability Theory (G-Theory) is the most appropriate method to differentiate these aspects in a measure. The Five Facet Mindfulness Questionnaire (FFMQ) is widely used measure of dispositional mindfulness, but its ability to accurately capture stable aspects of mindfulness has not been rigorously investigated using appropriate methodology.
Method
G-Theory was applied to differentiate between trait and state aspects of mindfulness and to examine temporal reliability of the FFMQ in a sample of 83 participants who completed the scale at three occasions separated by 2-week intervals.
Results
The total 39-item FFMQ and its short version FFMQ-18 have demonstrated good reliability in measuring trait mindfulness with G coefficients of 0.89 and 0.75, respectively, while individual facet subscales of the FFMQ appeared less reliable in measuring either trait or state. Subsequent analysis attempted to combine the FFMQ items that were least stable over time into a state mindfulness subscale. However, this did not result in acceptable psychometric properties for such a state subscale.
Conclusions
The findings of this study indicate that reliable measurement of stable aspects of mindfulness can be achieved by using the full FFMQ scale or its short version FFMQ-18 with scores generalizable across sample population and occasions. The scores obtained on individual facet subscales of the FFMQ predominantly measuring trait mindfulness, but their reliability is affected by measurement error due to interaction between person, item, and occasion.
Similar content being viewed by others
References
Allen, M. J., & Yen, W. M. (1979). Introduction on to measurement theory. Monterey, CA: Brooks/Cole.
Arterberry, B. J., Martens, M. P., Cadigan, J. M., & Rohrer, D. (2014). Application of generalizability theory to the big five inventory. Personality and Individual Differences, 69, 98–103.
Baer, R. A., Carmody, J., & Hunsinger, M. (2012). Weekly change in mindfulness and perceived stress in a mindfulness-based stress reduction program. Journal of Clinical Psychology, 68(7), 755–765. https://doi.org/10.1002/jclp.21865.
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27–45. https://doi.org/10.1177/1073191105283504.
Baer, R. A., Smith, G. T., Lykins, E., Button, D., Krietemeyer, J., Sauer, S., & Walsh, E. (2008). Construct validity of the Five Facet Mindfulness Questionnaire in meditating and nonmeditating samples. Assessment, 15(3), 329–342.
Birrer, D., Röthlin, P., & Morgan, G. (2012). Mindfulness to enhance athletic performance: Theoretical considerations and possible impact mechanisms. Mindfulness, 3(3), 235–246. https://doi.org/10.1007/s12671-012-0161-y.
Bishop, S. R., Lau, M. A., Shapiro, S., Carlson, L. E., Anderson, N. D., Carmody, J., & Devins, G. (2006). Mindfulness: A proposed operational definition. Clinical Psychology: Science and Practice, 11, 230–241.
Bloch, R., & Norman, G. (2012). Generalizability theory for the perplexed: A practical introduction and guide: AMEE guide no. 68. Medical Teacher, 34, 960–992.
Bohlmeijer, E., Prenger, R., Taal, E., & Cuijpers, P. (2010). The effects of mindfulness-based stress reduction therapy on mental health of adults with a chronic medical disease: A meta-analysis. Journal of Psychosomatic Research, 68(6), 539–544. https://doi.org/10.1016/j.jpsychores.2009.10.005.
Bohlmeijer, E., ten Klooster, P. M., Fledderus, M., Veehof, M., & Baer, R. (2011). Psychometric properties of the Five Facet Mindfulness Questionnaire in depressed adults and development of a short form. Assessment, 18(3), 308–320. https://doi.org/10.1177/1073191111408231.
Brown, D. B., Bravo, A. J., Roos, C. R., & Pearson, M. R. (2015). Five facets of mindfulness and psychological health: Evaluating a psychological model of the mechanisms of mindfulness. Mindfulness, 6(5), 1021–1032. https://doi.org/10.1007/s12671-014-0349-4.
Bush, M. (2011). Mindfulness in higher education. Contemporary Buddhism, 12(1), 183–197. https://doi.org/10.1080/010183-197.
Cardinet, J., Pini, G., & Johnson, S. (2011). Applying generalizability theory using EduG. London: Routledge Academic.
Chang, V. Y., Palesh, O., Caldwell, R., Glasgow, N., Abramson, M., Luskin, F., et al. (2004). The effects of a mindfulness-based stress reduction program on stress, mindfulness self-efficacy, and positive states of mind. Stress and Health, 20(3), 141–147. https://doi.org/10.1002/smi.1011.
Chiesa, A., & Serretti, A. (2009). Mindfulness-based stress reduction for stress management in healthy people: A review and meta-analysis. Journal of Alternative and Complementary Medicine, 15(5), 593–600. https://doi.org/10.1089/acm.2008.0495.
Coffey, K. A., Hartman, M., & Fredrickson, B. L. (2010). Deconstructing mindfulness and constructing mental health: Understanding mindfulness and its mechanisms of action. Mindfulness, 1(4), 235–253. https://doi.org/10.1007/s12671-010-0033-2.
Cronbach, L. J., Rajaratnam, N., & Gleser, G. C. (1963). Theory of generalizability: A liberalization of reliability theory†. British Journal of Statistical Psychology, 16(2), 137–163. https://doi.org/10.1111/j.2044-8317.1963.tb00206.x.
Davis, K. M., Lau, M. A., & Cairns, D. R. (2009). Development and preliminary validation of a trait version of the Toronto Mindfulness Scale. Journal of Cognitive Psychotherapy, 23(3), 185.
Frewen, P. A., Unholzer, F., Logie-Hagan, K. R.-J., & MacKinley, J. D. (2014). Meditation breath attention scores (MBAS): Test-retest reliability and sensitivity to repeated practice. Mindfulness, 5(2), 161–169. https://doi.org/10.1007/s12671-012-0161-y.
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., & Kuyken, W. (2016). Examining the factor structure of the 39-item and 15-item versions of the Five Facet Mindfulness Questionnaire before and after mindfulness-based cognitive therapy for people with recurrent depression. Psychological Assessment, 28(7), 791–802. https://doi.org/10.1037/pas0000263.
Huisman, M. (2000). Imputation of missing item responses: Some simple techniques. Quality and Quantity, 34(4), 331–351.
Hwang, Y., Goldstein, H., Medvedev, O. N., Singh, N. N., Noh, J., & Hand, K. (2019). Mindfulness-based intervention for Educators: Effects of a School-Based Cluster Randomized Controlled Study. Mindfulness, 10(7), 1417–1436. https://doi.org/10.1007/s12671-019-01147-1.
Hyland, P. K., Lee, R. A., & Mills, M. J. (2015). Mindfulness at work: A new approach to improving individual and organizational performance. Industrial and Organizational Psychology, 8(4), 576–602. https://doi.org/10.1017/iop.2015.41.
Kabat-Zinn, J. (1982). An outpatient program in behavioral medicine for chronic pain patients based on the practice of mindfulness meditation: Theoretical considerations and preliminary results. General Hospital Psychiatry, 4(1), 33–47. https://doi.org/10.1016/0163-8343(82)90026-3.
Kabat-Zinn, J. (1990). Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness. New York, NY: Delacourt.
Kabat-Zinn, J., Wheeler, E., Light, T., Skillings, A., Scharf, M. J., Cropley, T. G., Hosmer, D., & Bernhard, J. D. (1998). Influence of a mindfulness meditation-based stress reduction intervention on rates of skin clearing in patients with moderate to severe psoriasis undergoing phototherapy (UVB) and photochemotherapy (PUVA). Psychosomatic Medicine, 60(5), 625–632. https://doi.org/10.1097/00006842-199809000-00020.
Krägeloh, C. U., Henning, M. A., Medvedev, O., Feng, X. J., Moir, F., Billington, R., & Siegert, R. J. (2019). Mindfulness-based intervention research characteristics approaches and developments. London and New York: Routledge.
Lau, M. A., Bishop, S. R., Segal, Z. V., Buis, T., Anderson, N. D., Carlson, L., et al. (2006). The Toronto Mindfulness Scale: Development and validation. Journal of Clinical Psychology, 62(12), 1445–1467.
Ledesma, D., & Kumano, H. (2009). Mindfulness-based stress reduction and cancer: A meta-analysis. Psycho-Oncology, 18(6), 571–579. https://doi.org/10.1002/pon.1400.
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. https://doi.org/10.3389/fpsyg.2014.01202.
Libet, B. (2004). Mind time: The temporal factor in consciousness. Cambridge, MA: Harvard University Press.
Ma, S. H., & Teasdale, J. D. (2004). Mindfulness-based cognitive therapy for depression: Replication and exploration of differential relapse prevention effects. Journal of Consulting and Clinical Psychology, 72(1), 31–40. https://doi.org/10.1037/0022-006X.72.1.31.
MacDonald, H. Z., & Baxter, E. E. (2017). Mediators of the relationship between dispositional mindfulness and psychological well-being in female college students. Mindfulness, 8(2), 398–407. https://doi.org/10.1007/s12671-016-0611-z.
Massion, A. O., Teas, J., Herbert, J. R., Wetheimer, M. D., & Kabat-Zinn, J. (1995). Meditation, melatonin and breast/prostate cancer: Hypothesis and preliminary data. Medical Hypotheses, 44(1), 39–46. https://doi.org/10.1016/0306-9877(95)90299-6.
Medvedev, O. N., Krägeloh, C. U., Narayanan, A., & Siegert, R. J. (2017a). Measuring mindfulness: Applying Generalizability Theory to distinguish between state and trait. Mindfulness, 8(4), 1036–1046. https://doi.org/10.1007/s12671-017-0679-0.
Medvedev, O. N., Norden, P. A., Krägeloh, C. U., & Siegert, R. J. (2018). Investigating unique contributions of dispositional mindfulness facets to depression, anxiety, and stress in general and student populations. Mindfulness, 9(6), 1757–1767. https://doi.org/10.1007/s12671-018-0917-0.
Medvedev, O. N., Siegert, R. J., Kersten, P., & Krägeloh, C. U. (2017b). Improving the precision of the Five Facet Mindfulness Questionnaire using a Rasch approach. Mindfulness, 8(4), 995–1008. https://doi.org/10.1007/s12671-016-0676-8.
Paterson, J., Medvedev, O. N., Sumich, A., Tautolo, E., Krägeloh, C. U., Sisk, R., et al. (2017). Distinguishing transient versus stable aspects of depression in New Zealand Pacific Island children using Generalizability Theory. Journal of Affective Disorders, 227, 698–704. https://doi.org/10.1016/j.jad.2017.11.075.
Ramanaiah, N. V., Franzen, M., & Schill, T. (1983). A psychometric study of the State-Trait Anxiety inventory. Personality Assessment, 47, 531–535.
Segal, Z. V., Williams, J. M. G., & Teasdale, J. D. (2002). Mindfulness-based cognitive therapy for depression: A new approach to preventing relapse. New York: Guilford Press.
Shapiro, S. L., Astin, J. A., Bishop, S. R., & Cordova, M. (2005). Mindfulness-based stress reduction for health care professionals: Results from a randomized trial. International Journal of Stress Management, 12(2), 164–176. https://doi.org/10.1037/1072-5245.12.2.164.
Shavelson, R. J., & Webb, N. M. (1991). Generalizability theory: A primer (Vol. 1). Thousand Oaks: Sage Publications, Inc.
Shavelson, R. J., Webb, N. M., & Rowley, G. L. (1989). Generalizability theory. American Psychologist, 44, 599–612.
Shoukri, M. M., Asyali, M. H., & Donner, A. (2004). Sample size requirements for the design of reliability study: Review and new results. Statistical Methods in Medical Research, 13, 251–271.
Spielberger, C. D. (1999). Manual for the state-trait anger expression inventory-2. Odessa, FL: Psychological Assessment Resources.
Spielberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1970). Test manual for the state trait anxiety inventory. Palo Alto: Consulting Psychologists Press.
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. https://doi.org/10.1016/0895-4356(96)00016-9.
Suen, H. K., & Lei, P. W. (2007). Classical versus generalizability theory of measurement. Educational Measurement, 4, 1–13.
Swiss Society for Research in Education Working Group. (2006). EDUG User Guide. Neuchatel: IRDP.
Tanay, G., & Bernstein, A. (2013). State Mindfulness Scale (SMS): development and initial validation. Psychological Assessment, 25(4), 1286–1299.
Tang, Y., Hölzel, B. K., & Posner, M. I. (2015). Traits and states in mindfulness meditation. Nature Reviews Neuroscience, 17(1), 59–59. https://doi.org/10.1038/nrn.2015.7.
Taylor, T. A., Medvedev, O. N., Owens, R. G., & Siegert, R. J. (2017). Development and validation of the State Contentment Measure. Personality and Individual Differences, 119, 152–159. https://doi.org/10.1016/j.paid.2017.07.010.
Vispoel, W. P., Morris, C. A., & Kilinc, M. (2018). Applications of generalizability theory and their relations to classical test theory and structural equation modeling. Psychological Methods, 23(1), 1–26. https://doi.org/10.1037/met0000107.
Funding
The data used in this study were from the doctoral work of the last author funded by the Vice-Chancellor’s Scholarship of Auckland University of Technology.
Author information
Authors and Affiliations
Contributions
QCT: designed and conducted the study, analyzed the data, and wrote the paper. CUK: collaborated with developing the study and writing the manuscript. RJS: collaborated with developing the study, collecting the data and editing the manuscript. JL: collaborated with collecting the data and writing the manuscript. ONM: collaborated with designing and conducting the study, analyzing the data, and writing the paper.
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Informed Consent
All participants involved in this study provided their informed consent.
Ethics Statement
The study complied with the guidelines of the Auckland University of Technology ethics committee, which is based on internationally accepted ethical standards.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(DOCX 18 kb)
Rights and permissions
About this article
Cite this article
Truong, Q.C., Krägeloh, C.U., Siegert, R.J. et al. Applying Generalizability Theory to Differentiate Between Trait and State in the Five Facet Mindfulness Questionnaire (FFMQ). Mindfulness 11, 953–963 (2020). https://doi.org/10.1007/s12671-020-01324-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12671-020-01324-7