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2023 Vol. 29, No. 6
Published: 2023-12-31
 
483 Cultural Bias: Causes and Recommendations
LIU Hui-jie，ZHOU Xin-yue
This paper draws upon a cross-cultural civic honesty study published in “Science” (Cohn et al., 2019) to elucidate the issue of cultural bias in cross-cultural research. Cultural bias is defined as the failure to adequately consider the behavioral manifestations of different cultures while overlooking variations in societal and cultural backgrounds, resulting in biased findings. Despite the acknowledged importance of mitigating cultural bias by scholars (Henrich et al., 2010), it continues to persist within the realm of social psychology and remains prevalent in top-tier journals.
In response to the challenge of cultural bias, this article identifies key contributing factors and proposes practical mitigation strategies. The strategies include introducing cultural sensitivity training, fostering diverse research teams, ensuring the cultural appropriateness of research measures, and embracing a cultural relativism perspective. These insights provide valuable guidance for reducing cultural bias, enhancing the accuracy of cross-cultural research practices in psychology and beyond. 
2023 Vol. 29 (6): 483- [Abstract] ( 345 ) PDF (681 KB)  ( 1007 )
493 Research on the Influence Mechanism of Empowering Leadership on Digital Creativity
XUE Xian-fang QIU Ze-min GUO Han MEI Sheng-jun
Based on the systematic view of creativity, this paper discusses the impact of empowered leadership on digital creativity and the role of self-efficacy and virtuality from the perspective of the interaction among employees, leaders and organizational environment. The results show that empowered leadership has a significant positive impact on digital creativity, and the interaction between empowered leadership and virtuality also has a significant positive impact. The study also verified the mediating effect of regulation. The research conclusion systematically reveals the formation mechanism and boundary conditions of digital creativity, provides theoretical guidance for enterprises to stimulate digital innovation and implement digital management.
2023 Vol. 29 (6): 493- [Abstract] ( 214 ) PDF (535 KB)  ( 701 )
503 Predicting Wheel-spinning in an Online Learning System Based on the COPES Model
GONG Ke LIU Yu ZHANG Yi-hong LI Jun-yi
Using machine learning predicts wheel-spinning in online learning. We collected 29,483 primary school students’ log files in an intelligent tutoring system for learning mathematics and distilled the features related to cognition/meta-cognition and actionable features, such as the pause after incorrect, the long pause after hint, and the time of use at home. Seven machine learning models were built and they were explained according to the self-regulated COPES model. The results suggested the random forest algorithm exhibits the best predictive performance and the features in the model fitted the COPES model well. Our study may inspire future theoretical-based intervention studies and alleviate the dilemma that theoretical research lag behind applied research in the field of educational data mining.
2023 Vol. 29 (6): 503- [Abstract] ( 288 ) PDF (1216 KB)  ( 380 )
513 School-aged Children’s Understanding of Authentic Pride and Hubristic Pride
LIAO Yi-fan ZHAI Shu-yi HE Jie
The current work investigated 8-year-old and 11-year-old children’s understanding of authentic pride and hubristic pride via situational stories. The current research showed that: (1) Children can discriminatively understand authentic pride and hubristic pride based on effort information; they attributed more authentic pride to the protagonists high in effort. (2) For protagonists high in ability, children attributed both more authentic pride and hubristic pride to them. (3) Children rated authentic pride more socially acceptable than hubristic pride. The results provide a supplement to the two-dimensional model of pride and have implications for emotional education of school-aged children.
2023 Vol. 29 (6): 513- [Abstract] ( 271 ) PDF (721 KB)  ( 550 )
522 The influence of social valence on predicting group members' behaviors: The role of group norms and individual preferences
YIN Jun，SUN Miao-yan，SUN Hong-li，AI Dan-feng，LIN Jing，GUO Xiu-yan
Individuals are predicted to share behaviors and attributes with associated group members, even without knowledge of these particular members. However, behaviors can have different valences (i.e., positive and negative), and the current study explored whether and how predicting group-consistent behaviors is influenced by the valences of behavior. When group members performed negative behaviors (i.e., hindering), a new individual associated with this group was predicted to be less likely to follow them than when group members performed positive behaviors (i.e., helping). Furthermore, the perceived group norms under which all group members approved of to-be-predicted behaviors, instead of the perceived individual preferences in which the predicted individual preferred to implement to-be-predicted behaviors, statistically mediated this influential relation (Experiment 1). Importantly, the influences of behavior valence in predicting group-consistent behaviors were more pronounced when individuals formed a loose group than when they formed an entitative group, and such influence was still mediated by the perceived group norm; moreover, as group entitativity loosened, the group norm was perceived as being weakened, which thereby decreased the likelihood of predicting group-consistent negative behaviors (Experiment 2). Hence, predicting behaviors based on group membership is largely driven by perceived group norms and is accordingly valence dependent. This implies that the extent to which people hold group norms varies with valenced group-consistent behaviors, at least for helping and hindering behaviors, and people flexibly utilize group-related situations to predict behaviors.
2023 Vol. 29 (6): 522- [Abstract] ( 325 ) PDF (779 KB)  ( 690 )
538 Validation of the Circumplex Structure of the Inventory of Interpersonal Problems-Short Circumplex in Chinese College Students
SHAO Jin Yang Qian
Based on the interpersonal circumplex model, the purpose of the study is to test the circumplex structure of the Inventory of Interpersonal Problems-Short Circumplex (IIP-SC) in Chinese college students, and to investigate gender difference and regional difference on interpersonal problems of college students. A total of 1565 college students were investigated with IP-SC, Relationship Comprehensive Diagnostic Scale and SCL-90. The circumplex structure of IIP-SC was supported and the circumplex model with equal length and unequal distance was better. The interpersonal problems of Chinese college students are between the submissive (HI) and exploitable (JK). Students of different genders and regions have significant differences in the total score of IIP-SC and the dimension of agency. In conclusion, IIP-SC conforms to the circumplex structure, but deviating from the ideal model. The overall interpersonal problems of Chinese college students show the characteristics of low agency-high communion, and differed in gender and region.
2023 Vol. 29 (6): 538- [Abstract] ( 446 ) PDF (579 KB)  ( 1428 )
546 The Attentional Boost Effect: Attention and Memory in Dual-Tasking
MENG Ying-fang XIAO Fen-ni ZHENG Si-qi
The attentional boost effect manifests itself as an increase in attentional resources for one task that improves performance on an unrelated but concurrent memory task. After the effect was introduced in 2010, researchers have conducted numerous studies on its occurrence characteristics and proposed a dual-task interaction model of the effect. In this paper, we focus on the research results in the past five years, and reformulate the mechanism of the attentional boost effect from different perspectives, as well as the new theoretical model: dual-task interaction model 2.0, in order to have a more comprehensive and in-depth understanding of the relationship between attention and memory under dual-tasking. At the same time, the neural basis, measurement indexes and theoretical models are proposed for further discussion.
2023 Vol. 29 (6): 546- [Abstract] ( 467 ) PDF (760 KB)  ( 888 )
557 Problems and Countermeasures of Insight Research in the Field of Substance Addiction
YANG Ling CUI Xia ZHANG Jian-xun LI Ying-yue YANG Long-li
Some addicts do not realize they need treatment suggests one of the challenges facing the field of addiction is the impairment of insight in the addicted population. Results from different researches indicate the importance of insight in both addiction and withdrawal processes. However, there are differences in the conceptualization of insight across studies. Moreover, self-report is the primary measure relied upon by studies. A dearth of behavioral measurement instruments exists. In response to the aforementioned issues. A conceptual framework of insight that includes behavioral, clinical, and cognitive insight is first clarified; furthermore, the use of difference scoring is proposed to optimize the causal loop contradictions that exist in self-report; ultimately, directions for the development of experimental paradigms for clinical and cognitive insight are provided.
2023 Vol. 29 (6): 557- [Abstract] ( 182 ) PDF (718 KB)  ( 512 )
567 Trends in Memory and Language Research: A#br# Bibliometric Analysis of Journal of Memory and Language
LIN Yu-meng,ZHENG Qing-ying,LIANG Jun-ying
The present study examines the research literature of the journal Journal of Memory and Language by using corpus and co-occurrence visualization tools, to explore the recent progress in the field of memory and language in recent 36 years. The author collected the titles and abstracts of research articles published in the journal from 1985 to 2020. Results show that lexical and syntactic language production, comprehension and acquisition is the core of psychology of language research. Compared with long-term memory, working memory continued to be the research focus in the recent 36 years. The topics have been constantly deepening and broadening, giving more attention to individual difference and children’s cognitive development. With cutting-edge technological methods from cognitive neuroscience and brain science, memory and language research shows an increasing trend towards interdisciplinarity.
2023 Vol. 29 (6): 567- [Abstract] ( 135 ) PDF (2311 KB)  ( 533 )
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