Can we weight satisfaction score with importance ranks across life domains?

Chia Huei Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

The main purpose of this study was to investigate the utility of importance weighting when importance ranks were considered as the weighting values by (1) examining the range-of-affect hypothesis in the within-subject context and (2) comparing performances of weighted and unweighted satisfaction scores in predicting overall judgment of subjective well-being. Participants were 167 undergraduates at National Taiwan University. The mean age was 19.80 years (SD = 1.98). They were first asked to complete the measurements for global life satisfaction and overall QOL and then completed a QOL questionnaire for rating satisfaction, perceived have - want discrepancy on 12 life domains and ranking importance on these domains. Hierarchical linear modeling with a random-coefficients regression model was applied to examine the range-of-affect hypothesis in the within-subject context. Correlation analysis was applied to evaluate performances of weighted and unweighted satisfaction scores in predicting overall judgment of subjective well-being. Results of this study supported the range-of-affect hypothesis, showing that the relationship between item have - want discrepancy and item satisfaction is stronger for high importance items than low importance items for a given individual. Correlation analysis found that the four weighted satisfaction scores computed from the algorithms proposed by Hsieh (Social Indicators Research 61:227-240, 2003) were not superior to unweighted satisfaction score in predicting overall QOL and global life satisfaction. All these findings suggested that weighting satisfaction scores with importance ranks may not have theoretical basis and empirical contribution.

Original languageEnglish
Pages (from-to)469-480
Number of pages12
JournalSOCIAL INDICATORS RESEARCH
Volume86
Issue number3
DOIs
Publication statusPublished - May 2008

Keywords

  • Hierarchical linear modeling
  • Importance
  • Quality of life
  • Satisfaction
  • Weighting

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