- Open Access
Translation and validation of the Mind-Wandering Test for Spanish adolescents
© The Author(s) 2017
- Received: 28 November 2016
- Accepted: 10 May 2017
- Published: 2 June 2017
Working memory capacity and fluent intelligence influence cognitive capacity as a predictive value of success. In line with this, one matter appears, that of mind wandering, which partly explains the variability in the results obtained from the subjects who do these tests. A recently developed measure to evaluate this phenomenon is the Mind-Wandering Questionnaire (MWQ).
The objective of this work was to translate into Spanish the MWQ for its use with adolescents and to validate it and to analyze its relation with these values: self-esteem, dispositional mindfulness, satisfaction with life, happiness, and positive and negative affects.
A sample of 543 secondary students: 270 males (49.72%) and 273 females (50.28%) were used, who completed the questionnaire, and also did tests of self-esteem, dispositional mindfulness, satisfaction with life, happiness, and positive and negative effects. The transcultural adaptation process followed these steps: translation, back translation, evaluation of translations by a panel of judges, and testing the final version.
Validity analyses were done of the construct (% explained variance = 52.1), and internal consistency was high (α = .766). The coefficients of correlation with the self-esteem, MASS, satisfaction with life, happiness, and affects scales confirmed the questionnaire’s validity, and a multiple regression analysis (R 2 = 34.1; model F = 24.19. p < 0.001) was run.
The Spanish version of the questionnaire obtained good reliability coefficients and its factorial structure reliably replicated that obtained by the original measure. The results indicate that the Spanish version of the MWQ is a suitably valid measure to evaluate the mind-wandering phenomenon.
- Mind wandering
- Instrumental study
As human beings, we tend to be distracted by the activities we perform, which is when the mind tends to wander back to the past or to plan the future. This spontaneous tendency to produce thoughts and to freely allow our minds to wander, despite external stimuli, is considered a typical characteristic of the human mind (Smallwood and Schooler, 2006). Mind wandering is understood as a mental process during which attention is distracted from a task underway to focus on the contents that our minds intrinsically produce (Smallwood and Schooler, 2015). As it is one of the most common activities that the human mind performs, it occurs in practically all day-to-day activities, and individuals are gripped to their own mind events between 10 and 50% of the time they are awake (Kane, Brown, McVay, Silvia, Myin-Germeys & Kwapil, 2007; Killingsworth and Gilbert, 2010). Mind wandering presents wide inter-individual variability, and the mind-wandering trait appears as the personal characteristic of a tendency toward mind wandering for a given period of time (Mrazek, Smallwood, Franklin, Baird, Chin & Schooler, 2012a).
Repetitive thoughts are considered an adaptive function of human beings. Despite the negative connotations associated with this concept, mind wandering is not itself considered a negative characteristic. Similar negative connotations are attached to common terms like cognitive failures, resting state, rumination, distraction, attentional failures, absent-mindedness, repetitiveness, and the like (Baars, 2010). Planning the future is one of the most beneficial results connected with mind wandering as its appearance is associated with thoughts about the future, and not with the past or present (Schooler, Smallwood, Christoff, Handy, Reichle & Sayette, 2011). Thoughts that focus on the future are increased by self-reflection (Smallwood and O’Connor, 2011) and by prioritizing personal goals (Stawarczyk, Majerus, Maj, Van der Linden and D’Argembeau, 2011), which is reduced by negative moods (Smallwood and O’Connor, 2011). Along these lines, mind wandering comes over as an adaptive advantage as it can diminish distress by predicting future events to better adapt to one’s own environment (Bar, 2009). Mind wandering allows information that cannot be analyzed when a stimulus emerges to be systematized because the semantic manipulation of information cannot take place while a stimulus occurs (Binder, Frost, Hammeke, Bellgowan, Rao & Cox, 1999), and is thus associated with effective coping (Greenwald and Harder, 1995) and creativity (Sio and Ormerod, 2009). This anticipative capacity and planning of the future allow problems to be creatively solved (Baird, Smallwood, Mrazek, Kam, Franklin & Schooler, 2012).
High levels of mind wandering are related with low moods (Killingsworth and Gilbert, 2010) and negative thinking (Smallwood, O’Connor, Sudbery, and Obonsawin, 2007). An increase in negative thoughts in relation to mind wandering has been associated with individual levels of depression (Marchetti, Koster and De Raedt, 2012). This association may be due to mind wandering which, given the spontaneous emergence of thoughts, is associated with paying more attention to one’s own thoughts, emotions, and experiences (Smallwood and Schooler, 2015). This marked increase in self-attention may mean being at more risk of self-assessment, which has been associated with negative emotions (Mor and Winquist, 2002). The appearance of repetitive thoughts is relevant for the appearance and maintenance of emotional disorders (Aldao, Nolen-Hoeksema and Schweizer, 2010) through brooding and worrying. Although both of these constructs are related with mind wandering, they are considered to semantically differ. Indeed, worrying is defined as expecting possible negative results in the future (Borkovec, Robinson, Pruzinsky and DePree, 1983), while brooding is defined as the repetitive response model that involves the constant development of distress symptoms, and of the causes and consequences of distress (Nolen-Hoeksema, Wisco and Lyubomirsky, 2008).
Increased mind wandering and paying more attention to one’s own thoughts, emotions, and experiences have been related with low levels of self-esteem (Mrazek, et al. 2013). Nevertheless, paying more attention to oneself is not necessarily considered a negative activity for self-esteem. So mindfulness is considered a construct that contrasts with mind wandering (Mrazek, Smallwood, and Schooler, 2012b). The mindfulness construct has been defined in many forms, and all its definitions coincide in that it is a matter of paying intentionally more attention to the present time and not taking a judgemental attitude about experience (Brown and Ryan, 2003; Germer, 2005; Kabat-Zinn, 1990; Segal, Williams and Teasdale, 2002). This non-judgemental attitude makes mindfulness appear positively related with self-esteem (Kong, Wang, and Zhao, 2014; Rasmussen and Pidgeon, 2011). In turn, self-esteem is considered a predictor of satisfaction with life (Diener and Diener, 1995; Mäkikangas and Kinnunen, 2003). Hence, the aforementioned factors may be considered modulators in the relation between mind wandering and satisfaction with life.
As no valid scale exists to measure mind wandering, the usual way to assess it involves periodically interrupting individuals while they do a task, and asking them to report the extent to which their attention was related to on-task or on task-unrelated concerns (Mrazek, Smallwood, Franklin, Baird, Chin & Schooler, 2012a). In the last few years, the Mind-Wandering Questionnaire (MWQ) was developed. It is a simple validated tool designed to directly measure mind-wandering trait levels. Its design offers good reliability and validity in both adult and adolescent populations (Mrazek, 2013), and has been validated to Chinese (Luo, Zhu, Ju and You, 2016) and Japanese (Kajimura and Nomura, 2016). In Spain, studies have been conducted on mind wandering by electroencephalography in relation to movement (Melinscak, Montesano and Minguez, 2014). However, no references about psychometric studies of the construct are available. For this reason, the objective of this work was to translate into Spanish and to validate the Mind-Wandering Questionnaire and to analyze its relation with the values of self-esteem, dispositional mindfulness, satisfaction with life, happiness, and positive and negative affects among adolescents.
Translation of the original scale into Spanish by a group of expert researchers in mindfulness.
The translated scale was administered to a sample of 50 people to detect any items that did not work well, and possible difficulties in understanding because items were poorly translated or badly written. No special difficulties were found in either the items or the instrument in general.
The work with the scale centered on the analysis, translation, and validation of the MWQ. The whole study sample (N = 543) was recruited from four high school centres.
The research sample comprised 543 secondary students, 270 males (49.72%) and 273 females (50.28%). Subjects voluntarily participated and gave signed informed consents. The ethical norms of the Declaration of Helsinki were respected. The study population’s mean age was 17.24 years, and their ages ranged from 16 to 18 years, with a standard deviation of 1.015.
The Mind-Wandering Questionnaire (MWQ) (Mrazek, 2013), is a self-report 5-item questionnaire that evaluates the levels of the mind-wandering trait. It is a 6-point Likert-type scale that goes from 1 (almost never) to 6 (almost always). Some item examples are “I have difficulty maintaining focus on simple or repetitive work” or “I do things without paying full attention”. The total MWQ score is the sum of the five items within a 5–30 range. After obtaining permission from the author of the MWQ, it was translated. The results and its reliability/validity are described in later sections of this document.
The Mindful Attention Awareness Scale (MAAS) (Brown and Ryan, 2003) is a simple scale that is quickly administered and globally evaluates an individual’s dispositional capacity of being alert and aware of the present experience in his/her daily life. MAAS is a 15-item questionnaire that scores on a Likert scale from 1 (almost always) to 6 (almost never). It measures the frequency of the mindfulness state in activities of daily living without having to train subjects. Scores are obtained using the arithmetic mean of all the items, and high scores indicate a greater mindfulness state. In the present study, this scale shows high internal consistency with a Cronbach’s alpha coefficient of 0.878.
The Subjective Happiness Scale (Lyubomirsky and Lepper, 1999) is an overall measure of subjective happiness that evaluates a molar category of well-being as an overall psychological phenomenon by considering the definition of happiness from the respondent’s perspective. It comprises four items with Likert-type responses and is corrected by summing the points obtained and then dividing them by the total number of items. In the present study, this scale shows high internal consistency with a Cronbach’s alpha coefficient of 0.845.
The Satisfaction with Life Scale (Diener, Emmons, Larsen and Griffin, 1985) is a 5-item scale that evaluates satisfaction with life. The participants must indicate the extent to which they agree with each statement on a 7-point Likert scale (from 1 = I strongly disagree to 7 = I strongly agree). Scores may range from 5 to 35 points; higher scores indicate greater satisfaction with life. This scale in this study shows high internal consistency with a Cronbach’s alpha coefficient of 0.863.
Rosenberg’s Self-esteem Scale (Rosenberg, 1965) is self-applied and contains 10 statements of the feelings that each person feels about him/herself; five in the positive sense (items 1, 2, 4, 6, and 7) and five in the negative sense (items 3, 5, 8, 9, and 10). It is a Likert-type scale whose theoretical values fluctuate between 10 (low self-esteem) and 40 (high self-esteem). The Cronbach’s alpha obtained by this scale is 0.876.
The PANAS schedule (Watson, Clark and Tellegen, 1988), this being the positive and negative affect schedule (PANAS), includes 20 items, of which 10 refer to positive affects (PA) and 10 to negative affects (NA) on two Likert-type scales. They all refer to the time the scale is answered (right now), with a score from 0 (not at all emotional) to 5 (extremely emotional). This scale shows an alpha of 0.790 for PA and one of 0.874 for NA.
The statistical analysis was done using version 22.0 of the SPSS software package for Windows. Factorial analyses were done. By reducing data, this technique is used to explain the variability among observed variables in terms of a smaller number of non-observed variables called factors. The observed variables were modeled as linear combinations of factors, plus error expressions. The intention was to analyze the consistency of the scale factors. In this study, a combination of EFA and CFA was performed. The majority of the studies chose the use of EFA for factor analysis. Others used CFA, for specific hypothesized factor structure proposed in EFA. DeVellis (2003) suggested the combined use of EFA and CFA for more consistent results on the psychometric indices of new scales. Recently, this suggestion of considering the combined use of EFA and CFA during the evaluation of construct validity of new measures has been approved by other authors, in order to provide more consistent psychometric results (Morgado, Meireles, Neves, Amaral and Ferreira, 2017).
Confirmatory analyses were run with the AMOS program, v24.0, with the study sample to verify if the factorial structure of the Spanish version matched that in the original version. Following the recommendations by Batista and Coenders (2000), the maximum likelihood estimation method was used rather than the weighted least squares method given the small sample size and few variables involved. As variables were measured at the ordinal level, estimations were made with polychoric correlations matrices instead of with covariance matrices.
Exploratory factorial analysis
Factor 1 MWQ
% explained variance
The different fit indices were suitable for the model’s fit. Thus, we can state that the model proposed for the factorial scale structure is sustainable: χ2(5) = 18.3; p = 0.003; χ2/gl = 3.7; GFI = 0.94; AGFI = 0.96; CFI = 0.96; NFI = 0.94; TLI = 0.93; RMSEA = 0.07. 90% CI (0.05–0.11).
The internal consistency of the MWQ
Alpha if eliminated
Mean = 2.75 Alpha = 0.766
Satisfaction with life
Multiple regression analysis
Predictors of the MWQ
Satisfaction with life
Adjusted R 2 (%)
F(6543) = 24.19. p < 0.001
The MAAS and NA had a significant and negative effect with the MWQ as high values for these variables were associated with low MWQ values. PA had a significant direct effect with the MWQ and the high values of these affects were associated with high MWQ values.
The objective of the present study was to translate into Spanish and analyze the psychometric properties of the Mind-Wandering Questionnaire (MWQ) with adolescents. Studies into this construct conducted with adolescent populations are much scarcer than those done with adult populations. Some research works have evaluated mind wandering in adolescent samples by identifying relevant indicators (Luo, Zhu, Ju, and You, 2016; Mrazek et al. 2013). The results revealed that the Spanish version of the MWQ for adolescents evidences validity and reliability.
Regarding evidence for construct validity, a correlations analysis was firstly done with the five-scale items. The results showed some positive and significant results among them, with values above those obtained by Mrazek in 2013. These scores can be accounted for by the homogeneity that occurs in the scores of the variables that make up subjective well-being. Indeed, this situation has led several authors to consider the possible existence of some higher-order construct that covers several of what we now often consider to be synonyms, measured by different scales (e.g., subjective well-being, personal well-being, satisfaction with life, or happiness), which have shown significantly positive and generally high correlations with one another, and apparently overlap. Although these variables have clearly different characteristics, it is generally considered that their respective overall values are equally good indicators of subjective well-being. However, the observed correlations have not been high enough to be able to state that they measure identical constructs (Banati and Diers, 2016; Casas, Baltatescu, Bertrán, González, and Hatos, 2013; Diener, et al. 1999; Nilsen and Bacso, 2017). The scores obtained with the MWQ would indicate that somehow this new construct could form part of subjective well-being.
Secondly, the factorial structure of the MWQ was analyzed by a confirmatory factorial analysis. The results indicated good data fit, which corroborated the scale’s dimensional structure, and also coincided with both the initial questionnaire postulates (Mrazek et al., 2013) and the factorial structure obtained in the original questionnaire version. The values obtained for scale reliability through Cronbach’s alpha were acceptable in all the items and were similar to those found in not only the original version, but also in subsequent studies conducted in different contexts (Kajimura and Nomura, 2016; Luo et al. 2016). This could be an indication of the appropriateness of using this scale with an adolescent population. To examine the scale’s concurrent validity, the structural equations model was tested, in which it was hypothesized that self-esteem, satisfaction with life, subjective happiness, positive/negative affects, and dispositional mindfulness predicted the results of the mind-wandering phenomenon. Here, gender differences were found as the results for the female participants in the MWQ scale obtained higher correlation indices with the MAAS Scale and PA, while the males’ results were higher for self-esteem and NA. This gender discrepancy in the affects themes has already been pointed out by some authors (Salavera, Usán, Antoñanzas, Teruel and Lucha, 2017). The multiple regression results showed that happiness, self-esteem, and satisfaction with life did not seem to influence the mind-wandering phenomenon. These three constructs have a lot to do with a person’s disposition and with the subjective evaluation of his or her well-being. So up to a point, it would be logical to understand that with a phenomenon like mind wandering, the variables that require greater awareness about the subject’s conscience state do not act as predictors, which was the case of the present research. Only PA had a significant and positive effect with the MWQ as high values for PA were associated with high MWQ values. There is an explanation for this as positive affect includes mood states and various emotions with pleasant, almost agreeable, subjective content, and with conditions or events that positively inform about how life is going (Luna, 2012), which falls in line with mind wandering. In the same way, dispositional mindfulness and NA predicted a negative and significant effect with the MWQ as high values for these variables were associated with low MWQ scores, which indicates that despite an increase in emotional regulation skills taking place in adolescence, an increase in negative affect states has also been detected during this life period (Larson, Moneta, Richards and Wilson, 2002). Thus the self-assessments that adolescents make can activate negative emotions, like fear, sadness, or rejection, which would explain why the mind-wandering process correlates inversely with negative affects.
We should, however, point out that the present study has some limitations. Firstly, the evidence found for validity and reliability must be considered provisional as our sample size, especially males, was small. Future studies should verify gender effects with a larger study sample to evaluate the relation of these constructs over the years. Secondly, it would be necessary to test the instrument’s factorial structure in different contexts. As future research lines, and like other works (Diener, Suh, Lucas and Smith, 1999; Hampel and Petermann, 2006; Mrazek, et al., 2012b), we should make an in-depth examination of the interaction among mind wandering, psychological factors, and different life events, and continue to investigate the relation of mind wandering with different subjective well-being components (subjective happiness, self-esteem, and satisfaction with life and affects), and consider programs that promote the use of active strategies to enhance personal well-being in adolescents.
To conclude, our results revealed that the Spanish version of the MWQ for adolescents offers preliminary evidence for validity and reliability, and along the same lines as the results obtained in the original version. In addition, this questionnaire could be useful for indirect measurement of the effectiveness of interventions with mindfulness. The inverse relationship found with the MAAS questionnaire (which measures mindfulness-trait) leads us to think that it can serve as an indicator of mind-wandering moments, which will decrease as the practice of mindfulness advances. Therefore, the Spanish version for adolescents may be considered a preliminary adaptation of the original questionnaire version, and the results justify its use for evaluating the mind-wandering phenomenon in the Spanish adolescent population. The present research results encourage us to continue seeking new questions to help us define new tools and methodologies and to find some answers to make progress in building mindfulness practices in adolescents.
To Michael Mrazek, for his guidance, indications, advice, and help to prepare this work.
To Helen Warburton, for translating this manuscript and for making suggestions and contributions.
This study was performed by Research Group OPIICS (S126) and Parasitology, self-care and environmental health (B124), University of Zaragoza (Zaragoza, Spain) and was supported by research funds provided by the Department of Science and Technology of the Government of Aragón (Spain) and the European Social Fund.
CS, FUP, PU, and LJ contributed to the conception and design of the work. CS, FUP, PU, and LJ organized the sample collection and data preparation, performed the data collection, analysis, and interpretation. CS, FUP, PU, and LJ prepared drafts of the article. PU and LJ critically reviewed its comprehensive content. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Ethics and approval and consent to participate
Subjects voluntarily participated and gave signed informed consents. The ethical norms of the Declaration of Helsinki were respected.
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- Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: a meta-analytic review. Clinical Psychology Review, 30(2), 217–237. http://dx.doi.org/10.1016/j.cpr.2009.11.004.View ArticlePubMedGoogle Scholar
- Baars, B. J. (2010). Spontaneous repetitive thoughts can be adaptive: postscript on “Mind Wandering”. Psychological Bulletin, 136(2), 208–210. http://dx.doi.org/10.1037/a0018726.View ArticlePubMedGoogle Scholar
- Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W., Franklin, M. S., & Schooler, J. W. (2012). Inspired by distraction: mind wandering facilitates creative incubation. Psychological Science, 23(10), 1117–1122. http://dx.doi.org/10.1177/0956797612446024.View ArticlePubMedGoogle Scholar
- Banati, P., & Diers, J. (2016). Measuring adolescent well-being: National Adolescent Assessment Cards (NAACs). In Innocenti Research Brief (p. 10). Florence: Unicef Office of Research – Innocenti.Google Scholar
- Bar, M. (2009). The proactive brain: memory for predictions. Philosophical Transactions of the Royal Society B-Biological Sciences, 364(1521), 1235–1243. http://dx.doi.org/10.1098/rstb.2008.0310.View ArticlePubMed CentralGoogle Scholar
- Batista, J. M., & Coenders, G. (2000). Modelos de Ecuaciones Estructurales (Structural Equation Modeling). Madrid: Editorial La Muralla.Google Scholar
- Binder, J. R., Frost, J. A., Hammeke, T. A., Bellgowan, P. S. F., Rao, S. M., & Cox, R. W. (1999). Conceptual processing during the conscious resting state: a functional MRI study. Journal of Cognitive Neuroscience, 11(1), 80–93. http://dx.doi.org/10.1162/089892999563265.View ArticlePubMedGoogle Scholar
- Borkovec, T. D., Robinson, E., Pruzinsky, T., & DePree, J. A. (1983). Preliminary exploration of worry: some characteristics and processes. Behaviour Research and Therapy, 21(1), 9–16. http://dx.doi.org/10.1016/0005-7967(83)90121-3.View ArticlePubMedGoogle 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(4), 822–848. http://dx.doi.org/10.1037/0022-3522.214.171.1242.View ArticlePubMedGoogle Scholar
- Casas, F., Baltatescu, S., Bertrán, I., González, M., & Hatos, A. (2013). School satisfaction among adolescents: testing different indicators for its measurement and its relationship with overall life satisfaction and subjective well-being in Romania and Spain. Social Indicators Research, 111, 665–681.View ArticleGoogle Scholar
- DeVellis, R. F. (2003). Scale development: theory and applications (2nd ed.). Newbury Park: Sage Publications.Google Scholar
- Diener, E., & Diener, M. (1995). Cross-cultural correlates of life satisfaction and self-esteem. Journal of Personality and Social Psychology, 68, 653–663.View ArticlePubMedGoogle Scholar
- Diener, E., Emmons, R.A., Larsen, R.J. & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71–75.Google Scholar
- Diener, E., Suh, E., Lucas, R., & Smith, H. (1999). Subjetive well-being: three decades of progress. Psychological Bulletin, 125, 276–302.View ArticleGoogle Scholar
- Hampel, P. & Petermann, F. (2006). Perceived stress, coping, and adjustment in adolescents. Journal of Adolescent Health, 38 (4), 409–415. http://dx.doi.org/10.1016/j.jadohealth.2005.02.014.
- Germer, C. K. (2005). Mindfulness: what is it? What does it matter? In C. K. Germer, R. D. Siegel, & P. R. Fulton (Eds.), Mindfulness and psychotherapy (pp. 3–27). New York: The Guilford Press.Google Scholar
- Greenwald, D. F., & Harder, D. W. (1995). Sustaining fantasies, daydreams, and psychopathology. Journal of Clinical Psychology, 51(6), 719–726. http://dx.doi.org/10.1002/1097-4679(199511)51:6%3C719::AID-JCLP2270510602%3E3.0.CO;2-I.View ArticlePubMedGoogle Scholar
- Kabat-Zinn, J. (1990). Full catastrophy living. How to cope with stress, pain and illness using mindfulness meditation. New York: Piatkus.Google Scholar
- Kajimura, S., & Nomura, M. (2016). Development of Japanese versions of the Daydream Frequency Scale and the Mind Wandering Questionnaire. Shinrigaku Kenkyu, 87(1), 79–88. http://dx.doi.org/10.4992/jjpsy.87.14223.View ArticlePubMedGoogle Scholar
- Kane, M. J., Brown, L. H., McVay, J. C., Silvia, P. J., Myin-Germeys, I., & Kwapil, T. R. (2007). For whom the mind wanders, and when: an experience-sampling study of working memory and executive control in daily life. Psychological Science, 18(7), 614–621. http://dx.doi.org/10.1111/j.1467-9280.2007.01948.x.View ArticlePubMedGoogle Scholar
- Killingsworth, M. A., & Gilbert, D. T. (2010). A wandering mind is an unhappy mind. Science, 330(6006), 932. http://dx.doi.org/10.1126/science.1192439.View ArticlePubMedGoogle Scholar
- Kong, F., Wang, X., & Zhao, J. (2014). Dispositional mindfulness and life satisfaction: the role of core self-evaluations. Personality and Individual Differences, 56, 165–169. http://dx.doi.org/10.1016/j.paid.2013.09.002.View ArticleGoogle Scholar
- Larson, R. W., Moneta, G., Richards, M. H., & Wilson, S. (2002). Continuity, stability, and change in daily emotional experience across adolescence. Child Development, 73(4), 1151–1165.View ArticlePubMedGoogle Scholar
- Luna, F. J. (2012). Bienestar subjetivo y satisfacción escolar en la adolescencia. Tesis doctoral. Girona: Universidad de Girona.Google Scholar
- Luo, Y., Zhu, R., Ju, E., & You, X. (2016). Validation of the Chinese version of the Mind-Wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. Personality and Individual Differences, 92, 118–122. http://dx.doi.org/10.1016/j.paid.2015.12.028.View ArticleGoogle Scholar
- Lyubomirsky, S. & Lepper, H. (1999). A measure of subjective happiness: preliminary reliability and construct validation. Social Indicators Research, 46, 137–155.Google Scholar
- Mäkikangas, A., & Kinnunen, U. (2003). Psychosocial work stressors and well-being: self-esteem and optimism as moderators in a one-year longitudinal sample. Personality and Individual Differences, 35(3), 537–557. http://dx.doi.org/10.1016/S0191-8869(02)00217-9.View ArticleGoogle Scholar
- Marchetti, I., Koster, E. H., & De Raedt, R. (2012). Mindwandering heightens the accessibility of negative relative to positive thought. Consciousness and Cognition, 21(3), 1517–1525. http://dx.doi.org/10.1016/j.concog.2012.05.013.View ArticlePubMedGoogle Scholar
- Melinscak, F., Montesano, L., & Minguez, J. (2014). Discriminating between attention and mind wandering during movement using EEG. In Proceedings of the 6th International Brain–Computer Interface Conference (pp. 0601–0604). Graz: Graz University of Technology Publishing House.Google Scholar
- Mor, N., & Winquist, J. (2002). Self-focused attention and negative affect: a meta-analysis. Psychological Bulletin, 128(4), 638–662. http://dx.doi.org/10.1037/0033-2909.128.4.638.View ArticlePubMedGoogle Scholar
- Morgado, F. F. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2017). Scale development: ten main limitations and recommendations to improve future research practices. Psicologia: Reflexão e Crítica, 30(3). http://dx.doi.org/10.1186/s41155-016-0057-1
- Mrazek, M. D., Phillips, D. T., Franklin, M. S., Broadway, J. M., & Schooler, J. W. (2013). Young and restless: validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth. Frontiers in Psychology, 4, 560. http://dx.doi.org/10.3389/fpsyg.2013.00560.View ArticlePubMedPubMed CentralGoogle Scholar
- Mrazek, M. D., Smallwood, J., Franklin, M. S., Baird, B., Chin, J., & Schooler, J. W. (2012a). The role of mind-wandering in measurements of general aptitude. Journal of Experimental Psychology: General, 141, 788–798. http://dx.doi.org/10.1037/a0027968.View ArticleGoogle Scholar
- Mrazek, M. D., Smallwood, J., & Schooler, J. W. (2012b). Mindfulness and mind-wandering: finding convergence through opposing constructs. Emotion, 12(3), 442–448. http://dx.doi.org/10.1037/a0026678.View ArticlePubMedGoogle Scholar
- Nilsen, E. S., & Bacso, S. A. (2017). Cognitive and behavioural predictors of adolescents’ communicative perspective-taking and social relationships. Journal of Adolescence, 56, 52–63. http://dx.doi.org/10.1016/j.adolescence.2017.01.004.View ArticlePubMedGoogle Scholar
- Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424. http://dx.doi.org/10.1111/j.1745-6924.2008.00088.x.View ArticlePubMedGoogle Scholar
- Rasmussen, M. K., & Pidgeon, A. M. (2011). The direct and indirect benefits of dispositional mindfulness on self-esteem and social anxiety. Anxiety, Stress and Coping, 24(2), 227–233. http://dx.doi.org/10.1080/10615806.2010.515681.View ArticleGoogle Scholar
- Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton, New Jersey: Princeton University Press.Google Scholar
- Salavera, C., Usán, P., Antoñanzas, J. L., Teruel, P., & Lucha, O. (2017). Affects and personality: a study students. Annales Medico-Psychologiques (in press). http://dx.doi.org/10.1016/j.amp.2016.06.014
- Schooler, J. W., Smallwood, J., Christoff, K., Handy, T. C., Reichle, E. D., & Sayette, M. A. (2011). Meta-awareness, perceptual decoupling and the wandering mind. Trends in Cognitive Sciences, 15(7), 319–326. http://dx.doi.org/10.1016/j.tics.2011.05.006.PubMedGoogle Scholar
- Segal, Z. V., Williams, J. M., & Teasdale, J. D. (2002). Mindfulness-based cognitive therapy for depression: a new approach to preventing relapse. New York: The Guilford Press.Google Scholar
- Sio, U. N., & Ormerod, T. C. (2009). Does incubation enhance problem solving? A meta-analytic review. Psychological Bulletin, 135(1), 94–120. http://dx.doi.org/10.1037/a0014212.View ArticlePubMedGoogle Scholar
- Smallwood, J., & O’Connor, R. C. (2011). Imprisoned by the past: unhappy moods lead to a retrospective bias to mind wandering. Cognition & Emotion, 25(8), 1481–1490. http://dx.doi.org/10.1080/02699931.2010.545263.View ArticleGoogle Scholar
- Smallwood, J., O’Connor, R. C., Sudbery, M. V., & Obonsawin, M. (2007). Mind-wandering and dysphoria. Cognition and Emotion, 21(4), 816–842. http://dx.doi.org/10.1080/02699930600911531.
- Smallwood, J., & Schooler, J. W. (2006). The restless mind. Psychological Bulletin, 132(6), 946–958. http://dx.doi.org/10.1037/0033-2909.132.6.946.
- Smallwood, J., & Schooler, J. W. (2015). The science of mind wandering: empirically navigating the stream of consciousness. Annual Review of Psychology, 66, 487–518. http://dx.doi.org/10.1146/annurev-psych-010814-015331.View ArticlePubMedGoogle Scholar
- Stawarczyk, D., Majerus, S., Maj, M., Van der Linden, M., & D’Argembeau, A. (2011). Mind-wandering: phenomenology and function as assessed with a novel experience sampling method. Acta Psychologica, 136(3), 370–381. http://dx.doi.org/10.1016/j.actpsy.2011.01.002.View ArticlePubMedGoogle Scholar
- Watson, D., Clark, L.A. & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.Google Scholar