Measuring Meaning in Life: An Empirical Comparison of Two Well-Known Measures
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  • 作者:Bruno Figueiredo Damásio ; Nelson Hauck-Filho…
  • 关键词:Meaning in life ; SoMe ; MLQ ; Confirmatory factor analysis ; Bi ; factor models
  • 刊名:Journal of Happiness Studies
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:17
  • 期:1
  • 页码:431-445
  • 全文大小:425 KB
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  • 作者单位:Bruno Figueiredo Damásio (1)
    Nelson Hauck-Filho (2)
    Sílvia Helena Koller (3) (4)

    1. Department of Psychometrics, Institute of Psychology, Federal University of Rio de Janeiro, Av. Pasteur, 250, Rio de Janeiro, 22290-902, Brazil
    2. Institute of Psychology, São Francisco University, Itatiba, São Paulo, Brazil
    3. Institute of Psychology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
    4. North-West University, Vaal Triangle Campus, Vanderbijlpark, South Africa
  • 刊物类别:Humanities, Social Sciences and Law
  • 刊物主题:Social Sciences
    Social Sciences
    Quality of Life Research
    Sociology
    Philosophy
    Personality and Social Psychology
  • 出版者:Springer Netherlands
  • ISSN:1573-7780
文摘
This study aimed to investigate the extent to which two widely used psychometric instruments (i.e., MLQ-Presence and SoMe-Meaningfulness subscales) measure the same meaning in life latent trait. Participants were 3,020 subjects (63.9 % women), ranging in age from 18 to 91 years old (M = 33.92; SD = 15.01), sampled from 22 Brazilian states. Confirmatory factor analyses supported the unidimensionality of MLQ-Presence scale, but suggested that two distinct latent variables explained the items of SoMe-Meaningfulness scale. This result was further supported by a bi-factor exploratory structural equation modeling, which showed that items 4 and 5 of the SoMe-Meaningfulness scale were primarily influenced by a second latent trait rather than by MIL. Further analyses showed that this second latent trait was more closely related with self-transcendence issues (generativity and spirituality, specifically) instead of MIL. Keywords Meaning in life SoMe MLQ Confirmatory factor analysis Bi-factor models

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