心理学
人格
比例(比率)
鉴定(生物学)
性格(数学)
构造(python库)
社会心理学
结构效度
考试(生物学)
度量(数据仓库)
验证性因素分析
测试有效性
心理测量学
发展心理学
人机交互
结构方程建模
计算机科学
数据挖掘
生物
机器学习
物理
古生物学
程序设计语言
量子力学
植物
数学
几何学
作者
Philip J. Auter,Philip Palmgreen
标识
DOI:10.1080/08824090009388753
摘要
This research attempted to develop a multidimensional measure of parasocial interaction. A 47‐item questionnaire derived from qualitative responses was submitted to principal components analysis ‐ resulting in a 22‐item, four‐factor Audience Persona Interaction (API) Scale. The four sub‐scales were: Identification with Favorite character, Interest in Favorite character, Group Identification/Interaction, and Favorite Character's Problem Solving Ability. In the initial analysis, the index and it's subscales were found to be very reliable and positively correlated to program exposure level. In an additional construct validity test, mild linear relationships were found between PSI ‐as measured by the API Scale ‐ and viewing level.
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