Assessing Ageist Attitudes: Psychometric Properties of the Fraboni Scale of Ageism in a Population-Based Sample

评估年龄歧视态度:基于人群样本的弗拉博尼年龄歧视量表的心理测量学特性

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Abstract

Background/Objectives: Ageism is a pervasive form of prejudice that undermines health, social participation, and intergenerational solidarity, yet validated research tools for measuring ageism are lacking in many countries. The Fraboni Scale of Ageism (FSA) is one of the widely used instruments, but its psychometric properties have not previously been examined in the Czech context. This study aimed to translate the 29-item FSA, evaluate its reliability and validity, and describe ageism across generations. Methods: A quantitative cross-sectional survey based on face-to-face interviews was conducted in March 2024 among the Czech population aged 15-74 years (n = 1096). Data analysis included descriptive statistics, internal consistency indices (Cronbach's α, McDonald's ω, Composite Reliability, Average Variance Extracted), exploratory factor analysis (EFA) on a random half-sample, and confirmatory factor analysis (CFA) on the second half. Construct validity was also examined. Results: The Czech FSA showed very good distributional characteristics with no floor or ceiling effects and excellent internal consistency (α = 0.949; subscales α = 0.848-0.898). EFA replicated the original three-factor structure (Antilocution, Avoidance, and Discrimination) explaining 57.6% of variance. CFA supported this structure with good-to-excellent model fit. FSA scores increased systematically from Baby Boomers to Generation Z, indicating higher ageism among younger cohorts. Higher fear of old age, lower education, an earlier subjective boundary of old age, and absence of an older co-resident were associated with higher ageism scores. Conclusions: The Czech version of the FSA is a reliable and valid instrument for assessing ageist attitudes in the Czech population. Its robust psychometric properties and sensitivity to theoretically relevant correlates support its use for monitoring ageism, evaluating interventions, and enabling cross-national comparisons in aging research and policy.

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