Bielak Allison A M, Mogle Jacqueline A, Sliwinski Martin J
Department of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado, USA.
Department of Psychology, Clemson University, Clemson, South Carolina, USA.
J Gerontol B Psychol Sci Soc Sci. 2025 Apr 7;80(5). doi: 10.1093/geronb/gbaf017.
Studies using ecological momentary assessment (EMA) of activity participation rely on items tapping domains informed by factor analyses based on single time points. Analyses from a single time point focus on differences between participants and provide little insight into how activities cluster together within a person across moments or days. The present study compared the factor structure in activity participation between- and within-persons using an expanded set of momentary activity items in middle and older adulthood.
Using tablets, 81 adults aged 41 to 94 years reported activities completed in the past 3-4 hr 5 times per day for 14 days.
The most common activities during the day involved social interactions, reading, and computer work. Watching TV or videos was the most common evening activity. Multilevel factor analysis simultaneously computed both intra-individual factors (within-person) and inter-individual factors (between-person). Four within-person and 4 between-person factors provided the best model fit, with 3 common factors: cognitive (read, computer); social (events, mentoring, providing care); and passive (TV, games). There were notable differences in the fourth factor.
Although three common activity factors were found between individuals and within persons from day to day, the divergence between the fourth intra- and inter-individual factors provides insight into how activity engagement operates at different timescales and likely reflects daily demands versus long-term goals. EMA provides a window into engagement throughout and across days, but researchers who commonly use retrospective reports of between-person activity engagement may find distinctly different results from factor analyses.
使用活动参与的生态瞬时评估(EMA)的研究依赖于基于单个时间点的因素分析得出的项目来挖掘领域信息。单个时间点的分析侧重于参与者之间的差异,对于一个人在不同时刻或不同日子里活动如何聚集在一起提供的见解很少。本研究使用一组扩展的瞬时活动项目,比较了中年和老年人群体间及个体内活动参与的因素结构。
81名年龄在41至94岁之间的成年人使用平板电脑,连续14天每天报告5次过去3 - 4小时内完成的活动。
白天最常见的活动包括社交互动、阅读和电脑工作。看电视或视频是最常见的晚间活动。多水平因素分析同时计算个体内因素(个体内)和个体间因素(个体间)。四个个体内因素和四个个体间因素提供了最佳模型拟合,有三个共同因素:认知(阅读、电脑);社交(活动、指导、提供照顾);和被动(电视、游戏)。第四个因素存在显著差异。
虽然从个体间和个体内每天都发现了三个共同的活动因素,但第四个个体内和个体间因素的差异为活动参与在不同时间尺度上的运作方式提供了见解,可能反映了日常需求与长期目标。EMA提供了一个了解全天和跨天参与情况的窗口,但通常使用个体间活动参与回顾性报告的研究人员可能会发现与因素分析明显不同的结果。