6 items found

Tags: Biological Sciences future research intervention studies

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  • dataset

    r37980778c78--3754ebb3ed9c83b24114f0dfbf9df3c9

    Note. * p<.05, *** p<.001. Facet Factor Loadings in the Two-Factor Higher-Order Multigroup ESEM Analysis.
  • dataset

    Factor Loadings in the Partial Measurement Invariance Five-Factor Model.

    Note. Ger  =  German sample; Span  =  Spanish sample. α  =  Cronbach Alpha. Numbers refer to standardized factor loadings in the partial measurement invariance model where...
  • dataset

    r37980778c78--fc876acb6ba15ffe16dbee41ac6a9f9a

    Fit of One-Factor Multigroup Models in Individual Facets.
  • dataset

    Factor Intercorrelations in the Five-Factor Multigroup Models.

    Note. Figures in the upper triangular matrix display factor intercorrelations in the configural invariance model in the full FFMQ (left: German sample; right: Spanish sample),...
  • dataset

    r37980778c78--2cc0cd7a16a42bf6659b7f75c39bf5b8

    ObjectiveTo investigate the psychometric and structural properties of the Five Facets Mindfulness Questionnaire (FFMQ) among meditators, to develop a short form, and to examine...
  • dataset

    Fit of Five-Factor Multigroup Models on All Five Facets.

    Note. * Estimating loadings and thresholds of Items 4, 17, 18, 20, and 32 freely in both groups. Fit of Five-Factor Multigroup Models on All Five Facets.