Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2024-04-10
Abstract： Integrative complexity is a concept used in psychology to measure the structure of an individual’s thinking in two aspects: differentiation and integration. The measurement of integrative complexity relies primarily on manual analysis of textual content, which can be written materials, speeches, interview transcript large language models, or any other form of oral or written expression. To solve the problems of high cost of manual assessment methods, low accuracy of automated assessment methods, and the lack of Chinese text assessment scheme, this study designed an automated assessment scheme for integrative complexity on Chinese and English texts. We utilized text data enhancement technique of the large language model and the model migration technique for the assessment of integrative complexity, and explored the automated assessment methods for the two sub-structures of integrative complexity, namely, the fine integration complexity and the dialectical integration complexity. In this paper, two studies are designed and implemented. Firstly, a prediction model for the integration complexity of English text is implemented based on the text data enhancement technology of large language model; secondly, a prediction model for the integration complexity of Chinese text is implemented based on the model transfer technology. The results showed that: 1) We used GPT-3.5-Tubo for English text data enhancement, a pre-trained multilingual Roberta model for word vector extraction, and a text convolutional neural network model as a downstream model. The Spearman correlation coefficient between this model’s prediction of integration complexity and the manual scoring results was 0.62, with a dialectical integration complexity correlation coefficient of 0.51 and a fine integration complexity Spearman correlation coefficient of 0.60. It is superior to machine learning methods and neural network models without data enhancement. 2) In Study 2, a model with the same structure as the neural network in Study 1 was established, and the final model parameters in Study 1 were also transferred to the model in this study to train the integration complexity prediction model based on Chinese text. In the case of zero samples, the Spearman correlation coefficients of the transfer learning model for integrative complexity are 0.31, the Spearman correlation coefficient of dialectical integration complexity is 0.31, and the correlation coefficient of fine integration complexity is 0.33, all of which are better than the model in the case of random parameters (integrative complexity: 0.17, dialectical integrative complexity: 0.10, fine integrative complexity: 0.10). In the case of small samples, the Spearman correlation coefficient of the transfer learning model was 0.73, with a dialectical integration complexity correlation coefficient of 0.51 and a fine integration complexity correlation coefficient of 0.73.
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Subjects: Psychology >> Applied Psychology submitted time 2024-04-10
Abstract： Integrative complexity is a concept used in psychology to measure the structure of an individual’s thinking. It mainly involves two aspects: differentiation and integration. Differentiation refers to the ability of an individual to identify and understand different viewpoints or elements in the information. Integration refers to the ability of individuals to combine these different ideas or elements into a logical and coherent whole. The measurement of integrative complexity relies primarily on manual analysis of textual content, which can be written materials, speeches, interview transcripts, or any other form of oral or written expression. Integrative complexity has demonstrated its interdisciplinary value and extensive research potential in the fields of management psychology, political psychology and cultural psychology. In the field of management psychology, the level of integrated complexity of leaders affects how they approach complex management challenges, develop strategies, and promote team diversity. In political psychology, researchers use integrative complexity to analyze the thinking styles of political leaders, the foreign policy decision-making process, and the political attitudes and behaviors of the masses. Cultural psychology uses integrative complexity to explore the thinking patterns and information processing strategies of individuals in different cultural contexts. But in the field of health psychology, the integrative complexity has not been fully studied. Integrated complexity, as a measure of the structure of thought, can explain how individuals process information and deal with stress and negative emotions, which is very important for individual mental health. According to the suicide escape theory, individuals may escape unbearable self-consciousness and emotional pain through suicidal behavior. Under this theoretical framework, low integration complexity may be a risk factor for suicidal behavior, because low integration complexity may make it difficult for individuals to see multiple aspects of problems and possible solutions while facing stress and psychological pain, and thus leading to helpless and hopeless. This study explores the effect of integration complexity on suicidal ideation and suicidal behavior through social network media data. The results show that the complexity of dialectical integration negatively affects individual suicidal ideation, the complexity of fine integration positively affects individual suicidal ideation, and the complexity of dialectical integration negatively regulates the impact of negative emotions on suicidal ideation. Individuals with low dialectical integration complexity are more likely to be disturbed by negative emotions, and thus more likely to show suicidal ideation; Individuals with high dialectical integration complexity are less likely to be disturbed by negative emotions and thus less likely to exhibit suicidal ideation, but this pattern is not stable and may be disturbed by cultural background and other factors. On the eve of suicidal behavior, the integration complexity of the individual will continue to decrease.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2024-04-09
Abstract： In recent years, the Linguistic Inquiry and Word Count (LIWC) tool has garnered increasing attention, offering the promise of objective, automated, and transparent psychological text analysis. This resurgence has reignited enthusiasm among psychologists for language analysis research. The recent revision of the LIWC-22 dictionary has introduced numerous variables aimed at assessing various socio-psychological structures, thus expanding the application potential of the LIWC tool. To further promote the cultural adaptation of the LIWC tool, we have revised and validated the Simplified Chinese Linguistic Inquiry and Word Count Dictionary 2024 (SCLIWC2024) to better align with the features of LIWC-22. In Study One, building upon the SCLIWC dictionary, we revised SCLIWC2024 by comparing it with the LIWC-22 and CLIWC2015 dictionaries. In Study Two, we conducted two experiments to validate the efficacy of SCLIWC2024 in detecting different psychological semantics in online texts, addressing crucial questions regarding how to more effectively utilize SCLIWC2024 for detecting the psychological semantics of short texts on social networking platforms.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-03-17
Abstract： HPV vaccination is an effective way to prevent and treat cervical cancer, but the vaccination situation in our country is not optimistic, and many young people hesitate to vaccinate HPV vaccine. Research has shown that information persuasion is an effective means to increase vaccination rates. This study will focus on the content of persuasion information and explore the relationship between influencing factors and individual personality characteristics. To this end, we recruited 284 subjects online to conduct a questionnaire survey and analyzed the data using ANOVA. The results show that there are significant differences in the persuasive effect of information containing different influencing factors. It is necessary to select more effective influencing factors to produce the persuasive effect of promoting vaccination, and the big five personality characteristics of individuals will have a significant impact on the persuasive effect of information. This study can provide scientific basis and guidance for the promotion of vaccination, and has important theoretical and practical value for promoting public health.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2024-02-29
Abstract： HPV vaccination can not only effectively prevent the development of cervical cancer and its precancerous lesions, but also prevent other parts of the disease caused by HPV infection. However, the vaccination situation in China is not optimistic, and many young people are hesitant to get the HPV vaccine. Based on the planning theory model, this study aims to explore the influencing factors of HPV vaccination intention, compile a questionnaire with good reliability and validity to evaluate the importance of influencing factors of HPV vaccination intention, and explore the importance degree of influencing factors of different vaccination intention. In experiment 1, this study explored the influencing factors of individual HPV vaccination intention through semi-structured interview method, and obtained 25 influencing factors such as vaccine safety, vaccine effectiveness, vaccination convenience, professionalism, conformity and data. In experiment 2, through exploratory factor analysis, confirmatory factor analysis and reliability and validity test, a 17-question, 4-dimensional questionnaire was constructed to evaluate the importance of factors influencing HPV vaccination intention. Among them, confirmatory factor analysis supported the 4-factor model (χ²/df<3, RMR=0.059, RMSEA=0.054, GFI=0.928, TLI=0.914, IFI=0.929), showing good model fit. The Cronbach’s α coefficient of the questionnaire was 0.853, and the retest reliability at a 4-week interval was 0.804. It shows that our questionnaire has good reliability and validity. In addition, there are significant differences in the evaluation of the importance of different influencing factors, and there are also significant differences in the evaluation of the importance of factors among individuals with or without a family history of cancer and different levels of education. This study will provide valuable insights into vaccination promotion strategies and provide scientific basis and reference for developing targeted approaches.
Peer Review Status:Awaiting Review
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