While an extensive scientific literature now exists on the use of online dating services, there are very few studies on user satisfaction with dating apps and with the resulting offline dates. This study aimed to assess the level of satisfaction with Tinder use (STU) and the level of satisfaction with Tinder offline dates (STOD) in a sample of adult users of the app. The study also aimed to examine, among 28 variables, those that are the most important in predicting STU and STOD. Overall, 1,387 Tinder users completed an online questionnaire. A machine learning model was used to rank order predictors from most to least important. On a 4-point scale, participants' mean STU score was 2.39, and, on a 5-point scale, mean STOD score was 3.05. The results indicate that satisfaction with dating apps and with resulting offline dates is strongly predicted by participants' age and by their motives for using Tinder (enhancement, emotional coping, socialization, finding "true love," or casual sexual partners), whereas the variables negatively associated with satisfaction were those related to psychopathology. Interestingly, 65.3 percent of app users were married or "in a relationship," and only 50.3 percent of app users were using it to meet someone offline. Generally, participants who engage with the app to cope with personal difficulties seem more likely to report higher levels of dissatisfaction, suggesting that dating apps are a poor coping mechanism and highlighting the need to address underlying problems or pathologies that may be driving their use.

中文翻译：

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在线寻找亲密关系：成功预测因素的机器学习分析。

虽然现在有大量关于在线约会服务使用的科学文献，但关于用户对约会应用程序以及由此产生的离线约会的满意度的研究却很少。本研究旨在评估该应用的成年用户样本中对 Tinder 使用 (STU) 的满意度以及对 Tinder 离线约会 (STOD) 的满意度。该研究还旨在检查 28 个变量中对预测 STU 和 STOD 最重要的变量。总体而言，1,387 名 Tinder 用户完成了在线调查问卷。使用机器学习模型对预测变量从最重要到最不重要进行排序。在 4 分制中，参与者的平均 STU 得分为 2.39，在 5 分制中，平均 STOD 得分为 3.05。结果表明，参与者对约会应用程序和由此产生的线下约会的满意度很大程度上取决于参与者的年龄和他们使用 Tinder 的动机（增强、情感应对、社交、寻找“真爱”或临时性伴侣），而变量与满意度负相关的是与精神病理学相关的那些。有趣的是，65.3% 的应用用户已婚或“处于恋爱关系中”，只有 50.3% 的应用用户使用它来线下结识某人。一般来说，使用该应用程序来应对个人困难的参与者似乎更有可能报告更高程度的不满，这表明约会应用程序是一种糟糕的应对机制，并强调需要解决可能推动其使用的潜在问题或病症。