Scholarlink

<p>This research aims to investigate the Diener flourish scale (FS) to determine whether it functions as a measure of trait or state flourishing. The study employed longitudinal follow-up measurements across three time points over an 8-month period, with a sample size of 279 participants. Temporal invariance and trait-state analyses were conducted on the longitudinal data. Temporal invariance was evaluated using the latent state-trait including state (LST-IS) model, while trait-state analysis was performed using the multitrait-multistate (MTMS) model on the panel data. The LST-IS model, applied to the panel data across the three time points, confirmed the temporal invariance (configural, weak, strong, and strict) of the factor structure within the CFA model, indicating that the FS is a temporally stable measurement tool. The temporal proximity of the first two time points, compared to the third, was reflected in the correlation patterns observed between the time points. The MTMS model demonstrated a significant dominance of trait-like characteristics, with a low proportion of environmental effects. The model affirmed the predominance of trait aspects in flourishing, supported by high reliability and consistency values for the tetrads. However, the study’s design and methodological depth are acknowledged as areas requiring further development.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

How Long do We Flourish? A Flourishing State or Trait? A Longitudinal Examination of the Diener Flourishing Scale

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月23日

查看全文
  • Balázs András Varga,
  • Attila Oláh,
  • Róbert Urbán,
  • András Vargha

摘要

This research aims to investigate the Diener flourish scale (FS) to determine whether it functions as a measure of trait or state flourishing. The study employed longitudinal follow-up measurements across three time points over an 8-month period, with a sample size of 279 participants. Temporal invariance and trait-state analyses were conducted on the longitudinal data. Temporal invariance was evaluated using the latent state-trait including state (LST-IS) model, while trait-state analysis was performed using the multitrait-multistate (MTMS) model on the panel data. The LST-IS model, applied to the panel data across the three time points, confirmed the temporal invariance (configural, weak, strong, and strict) of the factor structure within the CFA model, indicating that the FS is a temporally stable measurement tool. The temporal proximity of the first two time points, compared to the third, was reflected in the correlation patterns observed between the time points. The MTMS model demonstrated a significant dominance of trait-like characteristics, with a low proportion of environmental effects. The model affirmed the predominance of trait aspects in flourishing, supported by high reliability and consistency values for the tetrads. However, the study’s design and methodological depth are acknowledged as areas requiring further development.