Subjects: Psychology >> Cognitive Psychology submitted time 2023-07-04
Abstract： Since the last century, empirical literature on Mozart effect has been growing rapidly. However, some findings seemed hard to be replicated, resulting in an abundance of inconsistent results. In order to determine whether the classical music promote peoples’ cognitive performance, find out the reasons for heterogeneity in the results of previous studies on Mozart effect, and to explore how does classic music work, we conducted a meta-analysis basing on a systematic and comprehensive review of the published studies on the effect of classical music. Chinese and English studies from 1993 to 2022 were searched, 91 studies (a total of 172 independent effect sizes, 7159 participants) were included with the criteria of the meta-analysis. Considering that the effect size would be affected by the participants’ characteristics (e.g., age, gender, culture context), the random-effects model was conducted. After coding the data, “metafor” (version 3.4.0) for R software was used to evaluate the total effect size of classical music, and to analyze the moderating effect.
The results showed that classical music improved cognitive task performance with a small to medium effect (g = 0.36). Additionally, the moderation analyses revealed that the strength of the relationship was moderated by cultural context, type of experimental design, and dominant hemisphere of the brain. Moreover, gender interacted with age group, cognitive task and cerebral hemisphere. The direct priming hypothesis is more robustly supported by this meta-analysis. Future studies are encouraged to further clarify the regulatory variables of Mozart's effect, so as to help people more rationally and comprehensively understand the effect of classical music, which may guide us the music education.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Social Psychology Subjects: Psychology >> Industrial Psychology submitted time 2022-11-07
Abstract： With the integrated development of big data technology and cultural psychology, computational cultural psychology came into being as a novel interdisciplinary research field, which makes large-scale cultural analysis possible. The key variables of computational cultural psychology are mainly about individualism and collectivism, and the big data technologies (e.g., feature dictionaries, machine learning, social networks analysis, and simulation) have been used to analyze the cultural change effect from the temporal perspective and cultural geography effect from the spatial perspective. It should be noted that there are several limitations in Computational Cultural Psychology, including decoding distortion, sample bias, semasiological variation, and privacy risk, although new method and paradigm are provided. In future directions, theoretical interpretation of variables, cultural dynamics, interdisciplinary integration, and ecological validity should be seriously concerned.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Social Psychology submitted time 2019-08-14
Abstract： In order to compile the Chinese Doctor-Patient Trust Scales, after a series of analysis of pre-tested, such as items analysis, exploratory factor analysis and confirmatory factor analysis, 9 items of the Patients’ Presupposed Trust Subscale, 13 items of the Patients’ Realistic Trust Subscale and 8 items of the Physicians’ Trust Scale were established. And in this way, a preliminary test was conducted on 2658 patients and 1229 doctors in a convenience sampling manner nationwide. The results of both tests show that the Patients’ Trust Scale can only be used as a single-dimensional total scale, while the Physicians’ Trust Scale can be divided into two dimensions: “relationship perception” and “defense mentality”. The internal consistency coefficients of the Patients’ Presupposed Trust Subscale, the Patients’ Realistic Trust Subscale, and the Physicians’ Trust Scale are 0.71, 0.85, and 0.63 respectively. The parameters of the criterion validity and confirmatory factor analysis are all within the acceptable range. The validity of the expert evaluation of the test is adequate. The Patients’ Presupposed Trust Subscale can be used to understand the general trust level of the patients to the doctor community from the intergroup level. The Patients’ Realistic Trust Subscale can be used to understand the patients’ special trust level to the specific doctor from the interpersonal level; The Physicians’ Trust Scale can be used to assess the trust of the physician in the individual patient they are receiving. The combination of the three can be used to assess the trust matching between doctors and patients. "
Peer Review Status:Awaiting Review
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