Amsterdam School of Communication Research, University of Amsterdam, P.O. Box 15791, 1001 NG, Amsterdam, The Netherlands.
Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
Sci Rep. 2022 May 9;12(1):7611. doi: 10.1038/s41598-022-11510-3.
Research agrees that self-reported measures of time spent with social media (TSM) show poor convergent validity, because they correlate modestly with equivalent objective digital trace measures. This experience sampling study among 159 adolescents (12,617 self-reports) extends this work by examining the comparative predictive validity of self-reported and digital trace measures of TSM, that is, the extent to which self-reported and digital trace measures of TSM correspond in their effects on self-esteem, well-being, and friendship closeness. Using an N = 1 method of analysis, we investigated the correspondence on a between-person, within-person, and person-specific level. Although our results confirmed the poor convergent validity of self-reported TSM reported earlier, we found that self-reports of TSM had comparable predictive validity to digital trace measures on all three levels. Because comparative predictive validity of self-reported TSM is crucial for investigating social media effects, our results have important implications for future research using self-reported TSM.
研究一致认为，自我报告的社交媒体使用时间（TSM）测量与等效的客观数字痕迹测量之间的相关性较弱，因此相关性较差。这项针对 159 名青少年（12617 份自我报告）的体验抽样研究通过考察自我报告和数字痕迹 TSM 测量的比较预测有效性，扩展了这项工作，即自我报告和数字痕迹 TSM 测量在对自尊、幸福感和友谊亲密程度的影响方面的一致性程度。我们使用 N = 1 的分析方法，从个体间、个体内和个体特定水平上研究了一致性。尽管我们的结果证实了之前报道的自我报告 TSM 较差的收敛效度，但我们发现，在所有三个水平上，自我报告的 TSM 与数字痕迹测量具有可比的预测有效性。由于自我报告的 TSM 的比较预测有效性对于研究社交媒体的影响至关重要，因此我们的结果对于使用自我报告的 TSM 的未来研究具有重要意义。
