Evaluating the Factor Structure of Each Facet of the Five Facet Mindfulness Questionnaire

Pelham, William E.; González, Oscar; Metcalf, Stephen A.; Whicker, Cady L.; Witkiewitz, Katie; Marsch, Lisa A.; MacKinnon, David P.

doi:10.1007/s12671-019-01235-2

Cited by 6 publications

(4 citation statements)

References 53 publications

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“…58 It was also mentioned that this duplication of items could potentially 'compromise unidimensionality' which has been found in the present study, because 'reliability coefficients will be artificially inflated' as well as '...the loadings will no longer reflect the true relations of the items to the construct'. 57 Two items from the Nonjudge facet, Items 17 ('I make judgments about whether my thoughts are good or bad') and 35 ('When I have distressing thoughts or images, I judge myself as good or bad, depending what the thought/image is about'), require participants to categorize their emotions and feelings into exclusive and extreme binaries that involve subjective interpretation of what constitutes or classifies as good or bad, possibly making it hard for the participants to mark responses. 59 Cross-cultural research on the classification of emotions argues that there is often an element of both positive and negative within an emotion, such as 'pursuit of happiness is not always positive'.…”

Section: Discussionmentioning

confidence: 99%

“…A study utilizing the English version of the FFMQ concluded that some items of the Act with awareness facet may be affected by method factors related to the item valence (similarity in wording). 57 Examples are Items 13 (‘I am easily distracted’) and 5 (‘When I do things, my mind wanders off and I’m easily distracted’). These two items have similar wording, showing duplication of items that could potentially affect the ‘stability of the facets’.…”

Section: Discussionmentioning

confidence: 99%

“… 58 It was also mentioned that this duplication of items could potentially ‘compromise unidimensionality’ which has been found in the present study, because ‘reliability coefficients will be artificially inflated’ as well as ‘…the loadings will no longer reflect the true relations of the items to the construct’. 57 …”

Section: Discussionmentioning

confidence: 99%

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Validation of a Tamil Version of the Five Facet Mindfulness Questionnaire Using Rasch Analysis

Raman,

Siegert,

Bharatharaj

et al. 2024

Indian Journal of Psychological Medicine

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Background: Various assessment tools that explore and assess mindfulness are available. Keeping in view both the origin of and the literature surrounding mindfulness assessment tools, this study aimed to evaluate the workability of one widely researched tool, the Five Facet Mindfulness Questionnaire (FFMQ), for establishing cross-cultural generalizability and utility in the Indian context. Methods: We recruited 303 adults over 18 with proficiency in the Tamil language and no history of significant neurological trauma and/or psychiatric history. They completed a version of the 39-item FFMQ, which we had translated into Tamil (FFMQ-T). The psychometric properties of this scale were tested using the Partial-Credit model of Rasch analysis. Results: Iterative Rasch analysis could not resolve consistent misfit of the Observe facet items. Using a subtest approach, a higher-order fit of the FFMQ-T could be achieved after the deletion of additional items from each of the remaining four facets. The resulting final model for the FFMQ-T questionnaire was a four-factor solution with 22 items. Conclusions: This study concluded the usability of the new 22-item FFMQ-T. These results are not dissimilar to the other versions in similar populations, such as the Hindi version of the FFMQ. The ordinal-to-interval conversion tables provided here ensure that the FFMQ-T can be used with enhanced precision and parametric statistics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Validation of a Tamil Version of the Five Facet Mindfulness Questionnaire Using Rasch Analysis

Raman,

Siegert,

Bharatharaj

et al. 2024

Indian Journal of Psychological Medicine

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“…The development of trait mindfulness measures has typically involved choosing items representing observable behaviour considered relevant to mindfulness. Once a suitable set of items has been developed, the item set (now a measure) has then been applied to a sample population, following which statistical techniques known as principal component analysis (PCA) or factor analysis (FA) are typically performed on the data (e.g., Pelham et al, 2019;Walach, Buchheld, Buttenmüller, Kleinknecht & Schmidt, 2006). Both these techniques return a parsimonious set of factors or principal components which account for the (covariance) patterns observed in the data.…”

Section: Introductionmentioning

confidence: 99%

Mindfulness as practice: A network analysis of FMI data

Smith

Kempton

Williams

et al. 2021

Couns and Psychother Res

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By committing to latent variable models, mindfulness research has aimed to transform observable practices into an identifiable real 'mindfulness' experience which is claimed to exist beyond what is directly observed. Recently, an alternative methodology has been developed which allows mindfulness to be modelled as a complex system or network at the level of self-report. This study hypothesised that a more densely connected network of observable practices is indicative of a greater level of development of mindfulness. MethodsMindfulness networks were estimated for practitioners and non-practitioners using the Friedberg Mindfulness Inventory (FMI). A total of 371 regular mindfulness practitioners, 224 non-practitioners and 59 irregular practitioners were recruited online from the Amazon Mechanical Turk database. ResultsComparisons of practitioners' and non-practitioners' networks indicated that network density did not significantly differ, whereas evidence was found in support of a significant difference in network structure. An exploratory analysis revealed that the FMI item representing the mindfulness practice of Acceptance was substantially more central in the Practitioners FMI network, relative to its position in the Non-practitioners FMI network. FMI items representing the mindfulness practices of Self-kindness and Returning to the Present were substantially more peripheral to the practitioners FMI network relative to their position in the non-practitioners FMI network. Conclusions. MINDFULNESS AS PRACTICE 3The study provides proof-of-principle support for investigating mindfulness as a complex network at the level of self-report. However, the lack of difference in network density indicates that future research is needed to examine network dynamics in the context of regular mindfulness practice.

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Psychometric Properties of the Five Facets Mindfulness Questionnaire in Moderate-to-Severe, Persistent Depression

et al. 2021

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Evaluating the Factor Structure of Each Facet of the Five Facet Mindfulness Questionnaire

Cited by 6 publications

References 53 publications

Validation of a Tamil Version of the Five Facet Mindfulness Questionnaire Using Rasch Analysis

Validation of a Tamil Version of the Five Facet Mindfulness Questionnaire Using Rasch Analysis

Mindfulness as practice: A network analysis of FMI data

Psychometric Properties of the Five Facets Mindfulness Questionnaire in Moderate-to-Severe, Persistent Depression

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