Skip to main content
Original Article

Mindfulness or Mindlessness?

A Modified Version of the Mindful Attention and Awareness Scale (MAAS)

Published Online:https://doi.org/10.1027/1015-5759/a000045

The 15 items of the Mindful Attention and Awareness Scale (MAAS; Brown & Ryan, 2003) are negatively worded and assumed to assess mindfulness. However, there are indications of differences between the original MAAS and a version with the positively rephrased MAAS items (“mirror items”). The present study examines whether the mindfulness facet “mindful attention and awareness” (MAA) can be measured with both positively and negatively worded items if we take method effects due to item wording into account. To this end, the 15 negatively worded items of the MAAS and additionally 13 positively rephrased items were assessed (N = 602). Confirmatory factor analyses (CFA) models with and without regard to method effects were carried out and evaluated by means of model fit. As a result, the positively and negatively worded items should be seen as different methods that influence the construct validity of mindfulness. Furthermore, a modified version of the MAAS (MAAS-Short) with five negatively worded items (taken from the MAAS) and five positively worded items (“mirror items”) was introduced as an alternative to assess MAA. The MAAS-Short appears superior to the original MAAS. The results and the limitations of the present study are discussed.

References

  • Baer, R. A. , Smith, G. T. , Allen, K. B. (2004). Assessment of mindfulness by self-report: The Kentucky Inventory of Mindfulness Skills. Assessment, 11, 191–206. First citation in articleCrossrefGoogle Scholar

  • 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, 822–848. First citation in articleCrossrefGoogle Scholar

  • Cote, J. A. , Buckley, R. (1988). Measurement error and theory testing in consumer research: An illustration of the importance of construct validation. Journal of Consumer Research, 14, 579–582. First citation in articleCrossrefGoogle Scholar

  • DiStefano, C. , Motl, R. W. (2006). Further investigating method effects associated with negatively worded items on self-report surveys. Structural Equation Modeling, 13, 440–464. First citation in articleCrossrefGoogle Scholar

  • Grossmann, P. (2008). On measuring mindfulness in psychosomatic and psychological research. Journal of Psychosomatic Research, 64, 405–408. First citation in articleCrossrefGoogle Scholar

  • Höfling, V. , Schermelleh-Engel, K. , Moosbrugger, H. (2009). Analyzing multitrait-multimethod data: A comparison of three approaches. Methodology, 5, 99–111. First citation in articleLinkGoogle Scholar

  • Kabat-Zinn, J. (1990). Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness. New York: Bantam Dell. First citation in articleGoogle Scholar

  • Krosnick, J. A. (1999). Survey research. Annual review of Psychology, 50, 537–567. First citation in articleCrossrefGoogle Scholar

  • Marsh, H. W. (1989). Confirmatory factor analysis of multitrait-multimethod data: Many problems and few solutions. Applied Psychological Measurement, 13, 335–361. First citation in articleCrossrefGoogle Scholar

  • Michal, M. , Beutel, M. E. , Jordan, J. , Zimmermann, M. , Wolters, S. , Heidenreich, T. (2007). Depersonalisation, mindfulness, and childhood trauma. Journal of Nervous and Mental Disease, 195, 693–696. First citation in articleCrossrefGoogle Scholar

  • Michalak, J. , Heidenreich, T. , Ströhle, G. , Nachtigall, C. (2008). Die deutsche Version der Mindful Attention and Awareness Scale (MAAS) [The German version of the Mindful Attention and Awareness Scale (MAAS)]. Zeitschrift für Klinische Psychologie und Psychotherapie, 37, 200–208. First citation in articleLinkGoogle Scholar

  • Muthén, L. K. , Muthén, B. O. (2006). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén. First citation in articleGoogle Scholar

  • Podsakoff, P. M. , MacKenzie, S. B. , Lee, J.-Y. , Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903. First citation in articleCrossrefGoogle Scholar

  • Quilty, L. C. , Oakman, J. M. , Risko, E. (2006). Correlates of the Rosenberg Self-Esteem Scale method effects. Structural Equation Modeling, 13, 99–117. First citation in articleCrossrefGoogle Scholar

  • Rauch, W. A. , Schweizer, K. , Moosbrugger, H. (2007). Method effects due to social desirability as a parsimonious explanation of the deviation from unidimensionality in LOT-R scores. Personality and Individual Differences, 42, 1597–1607. First citation in articleCrossrefGoogle Scholar

  • Rauch, W. A. , Schweizer, K. , Moosbrugger, H. (2008). An IRT analysis of the Personal Optimism Scale. European Journal of Psychological Assessment, 24, 49–56. First citation in articleLinkGoogle Scholar

  • Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press. First citation in articleCrossrefGoogle Scholar

  • Roth, M. , Decker, O. , Herzberg, P. Y. , Brähler, E. (2008). Dimensionality and norms of the Rosenberg Self-esteem Scale in a German general population sample. European Journal of Psychological Assessment, 24, 190–197. First citation in articleLinkGoogle Scholar

  • Scheier, M. F. , Carver, C. S. , Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the life orientation test. Journal of Personality and Social Psychology, 67, 1063–1078. First citation in articleCrossrefGoogle Scholar

  • Schermelleh-Engel, K. , Moosbrugger, H. , Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23–74. First citation in articleGoogle Scholar

  • Schweizer, K. (2010). Some guidelines concerning the modeling of traits and abilities in test construction. European Journal of Psychological Assessment, 26, 1–2. First citation in articleLinkGoogle Scholar

  • Schweizer, K. , Koch, W. (2001). A revision of Cattel’s investment theory: Cognitive properties influencing learning. Learning and Individual Differences, 13, 57–82. First citation in articleCrossrefGoogle Scholar

  • Schweizer, K. , Rauch, W. (2008). An investigation of the structure of the Social Optimism Scale with respect to the dimensionality problem. Journal of Individual Differences, 29, 223–230. First citation in articleLinkGoogle Scholar

  • Spector, P. E. , van Katwyk, P. T. , Brannick, M. T. , Chen, P. Y. (1997). When two factors don’t reflect two constructs: How item characteristic can produce artifactual factors. Journal of Management, 23, 659–677. First citation in articleCrossrefGoogle Scholar

  • Ströhle, G. , Nachtigall, C. , Michalak, J. , Heidenreich, T. (2010). Die Erfassung von Achtsamkeit als mehrdimensionales Konstrukt: Die deutsche Version des Kentucky Inventory of Mindfulness Skills (KIMS) [The assessment of mindfulness as a multifacet construct: The German version of the Kentucky Inventory of Mindfulness Skills (KIMS)]. Zeitschrift für Klinische Psychologie und Psychotherapie, 39, 1–12. First citation in articleLinkGoogle Scholar

  • Van de Vijver, F. J. R. , Watkins, D. (2006). Assessing similarity of meaning at the individual and country level. European Journal of Psychological Assessment, 22, 69–77. First citation in articleLinkGoogle Scholar

  • Vautier, S. , Steyer, R. , Jmel, S. , Raufaste, E. (2005). Imperfect or perfect dynamic bipolarity? The case of autonomous affective judgments. Structural Equation Modeling, 12, 391–410. First citation in articleCrossrefGoogle Scholar

  • Weems, G. H. , Onwuegbuzie, A. J. , Lustig, D. (2003). Profiles of respondents who respond inconsistently to positively- and negatively-worded items on rating scales. Evaluation and Research in Education, 17, 45–60. First citation in articleCrossrefGoogle Scholar

  • Yu, C.-Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral dissertation, University of California, Los Angeles. First citation in articleGoogle Scholar