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Muthén, B., Kaplan, D. and Hollis, M. (1987) On Structural Equation Modeling with Data That Are Not Missing Completely at Random. Psychometrika, 52, 431-462.
https://doi.org/10.1007/BF02294365

has been cited by the following article:

  • TITLE: Development of a Tool for Assessment of Post-Myocardial Infarction Fatigue

    AUTHORS: Eva Brink, Ulla Fredriksson-Larsson, Pia Alsén, Marianne Lång, Christina Cliffordson

    KEYWORDS: Fatigue, Myocardial Infarction, Psychometric Evaluation, Scale Development

    JOURNAL NAME: Open Journal of Nursing, Vol.8 No.11, November 22, 2018

    ABSTRACT: Introduction: After treatment for myocardial infarction (MI) quite a few persons will experience different symptoms, including fatigue, during the recovery phase. The aim of the present study was to construct the multidimensional Post-Myocardial Infarction Fatigue (PMIF) scale, based on empirical data gathered in coronary heart disease contexts. Methods: The construction of the post-MI fatigue scale was conducted in seven steps, ending in a psychometric evaluation of the internal structure of the scale, using confirmatory factor analysis, as well as testing of convergent and discriminant validity, using correlational analysis, in a sample of 141 persons treated for MI. Results: The results showed that the PMIF scale represents three dimensions: physical, cognitive and emotional fatigue. It was also found that the scale is suitable for summing the items to obtain a total score representing a post-MI global fatigue dimension. Conclusion: The PMIF is a brief and easily completed scale for identifying persons experiencing post-MI fatigue. Early identification of fatigue, together with health behavior support, might prevent progression toward a more severe state of fatigue.