Computer simulations have become a popular tool for assessing complex skills such as problem-solving. Log files of computer-based items record the human–computer interactive processes for each respondent in full. The response processes are very diverse, noisy, and of non-standard formats. Few generic methods have been developed to exploit the information contained in process data. In this paper we propose a method to extract latent variables from process data. The method utilizes a sequence-to-sequence autoencoder to compress response processes into standard numerical vectors. It does not require prior knowledge of the specific items and human–computer interaction patterns. The proposed method is applied to both simulated and real process data to demonstrate that the resulting latent variables extract useful information from the response processes. 相似文献
Current Psychology - The current study investigated the moderating effects of self-esteem and marital status on the association between partner phubbing and relationship satisfaction. Four hundred... 相似文献
Previous studies have examined the moderating effect of respiratory sinus arrhythmia (RSA) on the association between marital conflict and externalizing problems, however the findings were inconsistent. One possible reason is that the covariation of internalizing problems in externalizing problems. Therefore, the present study aimed to examine this issue. Participants were 332 Chinese adolescents (54.5% boys) age from 13 to 15 years old. At T1, electrocardiogram monitoring was performed on adolescents during the resting state and stressor tasks (a speech task and a mental arithmetic task) to obtain RSA data. The Chinese version of the Achenbach Youth Self-Report-2001 (YSR-2001) and the Chinese version of the Children’s Perception of Interparental Conflict scale were used to assess adolescents’ externalizing and internalizing problems and their perception of marital conflict, respectively. Adolescents’ problem behaviors were assessed again in the second and third waves of data collection, with a 1-year lag among each wave. The results revealed that the 3- interactions of marital conflict × RSA reactivity in speech task × sex significantly predicted the trajectory of externalizing problems when controlling for internalizing problems from externalizing problems. Specifically, girls with greater RSA suppression to the speech task reported low and stable externalizing problems, however, boys with the same pattern were associated with slightly increased levels of externalizing problems. While, RSA augmentation to the speech task predicted the increase in externalizing problems among both girls and boys in high marital conflict families over time. However, this interaction effects were not significant when not partial out internalizing problems from externalizing problems. The findings highlight the importance of controlling for the covariation of internalizing problems when examining the interaction effects of person and environment on the development of adolescents’ externalizing problems.
