Tóth-Király István, Bőthe Beáta, Tóth-Fáber Eszter, Hága Győző, Orosz Gábor
1 Doctoral School of Psychology, ELTE Eötvös Loránd University , Budapest, Hungary.
2 Institute of Psychology, ELTE Eötvös Loránd University , Budapest, Hungary.
J Behav Addict. 2017 Dec 1;6(4):472-489. doi: 10.1556/2006.6.2017.083.
Background and aims Television series watching stepped into a new golden age with the appearance of online series. Being highly involved in series could potentially lead to negative outcomes, but the distinction between highly engaged and problematic viewers should be distinguished. As no appropriate measure is available for identifying such differences, a short and valid measure was constructed in a multistudy investigation: the Series Watching Engagement Scale (SWES). Methods In Study 1 (N = 740 and N = 740), exploratory structural equation modeling and confirmatory factor analysis were used to identify the most important facets of series watching engagement. In Study 2 (N = 944), measurement invariance of the SWES was investigated between males and females. In Study 3 (N = 1,520), latent profile analysis (LPA) was conducted to identify subgroups of viewers. Results Five factors of engagement were identified in Study 1 that are of major relevance: persistence, identification, social interaction, overuse, and self-development. Study 2 supported the high levels of equivalence between males and females. In Study 3, three groups of viewers (low-, medium-, and high-engagement viewers) were identified. The highly engaged at-risk group can be differentiated from the other two along key variables of watching time and personality. Discussion The present findings support the overall validity, reliability, and usefulness of the SWES and the results of the LPA showed that it might be useful to identify at-risk viewers before the development of problematic use.
背景与目的 随着网络剧的出现，电视剧观看步入了一个新的黄金时代。高度沉迷于剧集可能会导致负面结果，但应区分高度投入的观众和有问题的观众。由于没有合适的方法来识别这种差异，因此在一项多研究调查中构建了一种简短且有效的测量方法：剧集观看投入量表（SWES）。方法 在研究1（N = 740和N = 740）中，使用探索性结构方程建模和验证性因素分析来确定剧集观看投入的最重要方面。在研究2（N = 944）中，调查了SWES在男性和女性之间的测量不变性。在研究3（N = 1520）中，进行了潜在剖面分析（LPA）以识别观众亚组。结果 在研究1中确定了五个主要相关的投入因素：持续性、认同感、社交互动、过度使用和自我发展。研究2支持了男性和女性之间的高度等效性。在研究3中，识别出三组观众（低投入、中等投入和高投入观众）。高投入风险组可以通过观看时间和个性的关键变量与其他两组区分开来。讨论 目前的研究结果支持了SWES的整体有效性、可靠性和实用性，LPA的结果表明，在出现问题使用之前识别风险观众可能是有用的。
