Comparing the Anamnestic Comparative Self-Assessment (ACSA) to a Conventional Happiness Question Without Anchoring

被引:0
|
作者
Elsy Verhofstadt
Brent Bleys
Luc Van Ootegem
机构
[1] Ghent University,Sherppa, Faculty of Economics and Business Administration
[2] Ghent University,Department of General Economics, Faculty of Economics and Business Administration
[3] KULeuven,Research Institute for Work and Society (HIVA)
来源
关键词
Well-being; Happiness; ACSA;
D O I
暂无
中图分类号
学科分类号
摘要
The Anamnestic Comparative Self-Assessment (ACSA) uses a self-anchoring rating scale to measure subjective well-being. Because of its internal frame of reference, ACSA is argued to be less influenced by cultural relativities and psychological traits. We collect survey data in Flanders that contain both a conventional happiness question (CQ) and ACSA. It is the first time that ACSA data are collected in a developed country outside of a clinical setting. In line with previous research, we find that the mean score for ACSA is significantly lower than the mean CQ score and that both scores are positively correlated. Social life (family, relationships, and friends) is cited most when self-anchoring the best period in life, whereas health issues and personal events are most often linked to the worst period in life. These findings add to the idea that the anchors of the ACSA scale are universal. In a simple model, we find that ACSA is determined by two variables that can change over time: being employed and being in a relation. In an extended model, however, ACSA’s insensitivity to socio-demographic variables that are not amenable to change no longer holds and personality traits become important.
引用
收藏
页码:237 / 251
页数:14
相关论文
共 50 条
  • [1] Comparing the Anamnestic Comparative Self-Assessment (ACSA) to a Conventional Happiness Question Without Anchoring
    Verhofstadt, Elsy
    Bleys, Brent
    Van Ootegem, Luc
    [J]. APPLIED RESEARCH IN QUALITY OF LIFE, 2019, 14 (01) : 237 - 251
  • [2] QUALITY-OF-LIFE OR QUALITIES OF LIFE - THE USES OF GLOBAL SELF-ASSESSMENT BY ANAMNESTIC COMPARATIVE SELF-ASSESSMENT (ACSA)
    BERNHEIM, JL
    DEBOEVER, S
    VERBINNEN, R
    [J]. QUALITY OF LIFE RESEARCH, 1994, 3 (01) : 70 - 71
  • [3] The potential of Anamnestic Comparative Self-Assessment (ACSA) to reduce bias in the measurement of subjective well-being
    Bernheim J.L.
    Theuns P.
    Mazaheri M.
    Hofmans J.
    Fliege H.
    Rose M.
    [J]. Journal of Happiness Studies, 2006, 7 (2) : 227 - 250
  • [4] BRIDGING CULTURAL RELATIVITY IN QOL ASSESSMENT BY ANAMNESTIC COMPARATIVE SELF ASSESSMENT (ACSA)
    Bernheim, Jan L.
    Mazaheri, Mehrdad
    Theuns, Peter
    Rose, Matthias
    [J]. QUALITY OF LIFE RESEARCH, 2004, 13 (09) : 1505 - 1505
  • [5] ANAMNESTIC COMPARATIVE SELF-APPRAISAL (ACSA) - A MEASURE OF THE QUALITY OF LIFE OF CANCER-PATIENTS
    BERNHEIM, J
    [J]. PROCEEDINGS OF THE AMERICAN ASSOCIATION FOR CANCER RESEARCH, 1980, 21 (MAR): : 357 - 357
  • [6] The Best and Worst Times of Life: Narratives and Assessments of Subjective Well-Being by Anamnestic Comparative Self Assessment (ACSA) in the Eastern Cape, South Africa
    Valerie Møller
    Peter Theuns
    Ida Erstad
    Jan Bernheim
    [J]. Social Indicators Research, 2008, 89 : 1 - 22
  • [7] The best and worst times of life: Narratives and assessments of subjective well-being by Anamnestic Comparative Self Assessment (ACSA) in the Eastern Cape, South Africa
    Moller, Valerie
    Theuns, Peter
    Erstad, Ida
    Bernheim, Jan
    [J]. SOCIAL INDICATORS RESEARCH, 2008, 89 (01) : 1 - 22
  • [8] Comparing student self-assessment to individualized instructor feedback
    Gibbs, Jennifer C.
    Taylor, Jim D.
    [J]. ACTIVE LEARNING IN HIGHER EDUCATION, 2016, 17 (02) : 111 - 123
  • [9] Learning Analytics in the Classroom: Comparing Self-assessment, Teacher Assessment and Tests
    Kickmeier-Rust, Michael D.
    Firtova, Lenka
    [J]. METHODOLOGIES AND INTELLIGENT SYSTEMS FOR TECHNOLOGY ENHANCED LEARNING, 2019, 804 : 131 - 138
  • [10] Comparing self-assessment, functional, and anthropometric techniques in predicting osteoporosis
    Lin, Yen-Huai
    Teng, Michael Mu Huo
    [J]. ARCHIVES OF OSTEOPOROSIS, 2020, 15 (01)