The GELOPH-15 is a self-report measure that assesses individual differences in the fear of being laughed at (i.e., gelotophobia), a relatively understudied but important trait that is closely related to social anxiety. Using a multitrait–multimethod (MTMM) approach, the convergent and discriminant validity of the GELOPH-15 scale was examined based on 217 self- and 651 peer ratings (of three close acquaintances per target) of the traits gelotophobia, social anxiety, and paranoid ideation. Participants completed the Spanish versions of the GELOPH-15, the Social Interaction Anxiety Scale, and the Paranoia Scale. Applying MTMM models of multilevel confirmatory factor analyses (ML-CFA-MTMM) revealed relatively high associations between the self- and peer ratings, supporting the convergent validity of the GELOPH-15. Discriminant validity analyses confirmed the expected relationship patterns of gelotophobia with social anxiety and paranoid ideation (i.e., strong, but not perfect associations). The results showed that the ML-CFA-MTMM models might be a useful tool for analyzing the convergent and discriminant validity based on self- and peer ratings.

GELOPH-15 是一种自我报告测量，用于评估害怕被嘲笑（即恐惧症）的个体差异，这是一个与社交焦虑密切相关的相对未被充分研究但重要的特征。使用多特质-多方法 (MTMM) 方法，基于 217 个自我和 651 个同伴评分（每个目标三个亲密熟人）对 GELOPH-15 量表的收敛和区分有效性进行了检查构思。参与者完成了西班牙语版本的 GELOPH-15、社交焦虑量表和偏执狂量表。应用多级验证性因素分析的 MTMM 模型 (ML-CFA-MTMM) 揭示了自我评分和同行评分之间相对较高的关联，支持 GELOPH-15 的收敛有效性。判别效度分析证实了恐惧症与社交焦虑和偏执观念的预期关系模式（即强烈但不完美的关联）。结果表明，ML-CFA-MTMM 模型可能是分析基于自我和同行评级的收敛效度和区分效度的有用工具。