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1. chinaXiv:202101.00060 [pdf]

Haze Blocks the Windows to the Soul: The Role of Anonymity in the Unethical Effects of Air Pollution

Kailin CHENG; Chuanjun Liu; Jiangqun Liao
Subjects: Psychology >> Social Psychology

Objective: Air pollution is a global concern with both health and psychological costs. Drawing upon the unethical impacts of air pollution, this paper proposes that haze could give rise to immoral tendencies through enhanced anonymity. Methods & Results: Big data analysis of daily web searches across a period of three years revealed that an increase in web searches for immoral words was associated with hazy days. Three subsequent experiments established the causal effects of psychologically experiencing haze or personally experiencing hazy days on immoral intentions and cheating behaviors. Moreover, these effects were mediated by perceived anonymity, intensified by the low visibility in haze. In support of deindividuation, masking, which could boost perceived anonymity, amplified the unethical effects of air pollution. Conclusions: Taken together, these findings suggest that perceived anonymity was a key psychological process underlying the unethical effects of haze. The findings of the study provide insights for researchers and policy makers to tackle the adverse effects of anonymity, especially on polluted days.

submitted time 2021-01-15 Hits2260Downloads565 Comment 0

2. chinaXiv:202101.00063 [pdf]

Psychopathy and Moral Decision Making: A Data Reanalysis Exploration

Chuanjun Liu; Jiangqun Liao
Subjects: Psychology >> Social Psychology

Previous research found that people with higher level of psychopathy trait would endorse more to the harmful but beneficial action in traditional moral dilemmas. Three possibilities for this effect were confounded: People with higher psychopathy trait, 1) care more about the beneficial consequences; 2) care less about the “no harm” norms; 3) just prefer action irrespective of consequences and norms. A multinomial processing tree model named “CNI” was developed and claimed to dissociated these three possibilities. Four studies have applied CNI model to study the psychopathy-moral decision relationship. However, the CNI model presupposes the agent sequentially processes consequences-norms-generalized inaction/action preferences, which makes the estimated parameters biased and untenable. More recently, an alternative algorithm named “CAN” was developed based on the same data structure to overcome the limitations of CNI model. We applied CAN algorithm and reanalyzed the raw data of the four studies on psychopathy-moral decision relationship. The results demonstrated that people with higher psychopathy trait have weaker consequences and norms sensitivities, stronger overall action preferences, stronger inaction/action preferences irrespective of norms and consequences, and weaker moral principles obedience. Furthermore, the mediation and moderation reanalysis explorations demonstrated that instrumental harm and moral identity partly mediate the psychopathy-moral decision relationship and that perceived societal standards rather than personal standards when making moral decisions can alleviate the positive effects of psychopathy on overall action preference and action preference irrespective of norms and consequences. Present reanalysis exploration study clarified and deepened our insights on the relationship between psychopathy and moral decisions. Theoretical and methodological implications were also discussed.

submitted time 2021-01-14 Hits2553Downloads550 Comment 0

3. chinaXiv:202004.00009 [pdf]

CAN Algorithm: An Individual Level Approach to identify Consequences and Norms Sensitivities and Overall Action/inaction Preferences in Moral Decision-making

Chuanjun Liu; Jiangqun Liao
Subjects: Psychology >> Psychological Measurement

Gawronski et al. (2017) developed a CNI model to measure an agent’s norms sensitivity, consequences sensitivity, and generalized inaction/action preferences when making moral decisions. However, the CNI model presupposed that an agent considers consequences—norms—generalized inaction/action preferences sequentially, which is untenable based on recent evidence. Moreover, the CNI model generates parameters at the group level based on binary categoric data. Hence, the C/N/I parameters cannot be used for correlation analyses or other conventional research designs. To solve these limitations, we developed the CAN algorithm to compute norms and consequences sensitivities and overall action/inaction preferences algebraically in a parallel manner. We re-analyzed the raw data of Gawronski et al.(2017) to test the methodological predictions. Our results demonstrate that: (1) the C parameter is approximately equal between the CNI model and CAN algorithm; (2) the N parameter under the CNI model approximately equals N/(1 – C) under the CAN algorithm; (3) the I parameter and A parameter are reversed around 0.5 – the larger the I parameter, the more the generalized inaction versus action preference and the larger the A parameter, the more overall action versus inaction preference; (4) tests of differences in parameters between groups with the CNI model and CAN algorithm led to almost the same statistical conclusion; (5) Parameters from the CAN algorithm can be used for correlational analyses and multiple comparisons, and this is an advantage over the parameters from the CNI model. The theoretical and methodological implications of our study were also discussed.

submitted time 2020-04-03 Hits11851Downloads1436 Comment 0

4. chinaXiv:201810.00102 [pdf]

Where is the Embodiment Effect? The Hierarchical Access Priority Model

Chuanjun Liu; Jiangqun Liao; Kaiping Peng
Subjects: Psychology >> Cognitive Psychology

There are detailed theories and abundant empirical results regarding embodied cognition. However, embodiment effects are undergoing a replication crisis. Based on the hierarchical structure of embodiment tasks and the dual process property of embodiment phenomena, we propose the hierarchical access priority model (HAP). According to HAP, the generation of embodiment effects depends on the access priority of embodied variables to unconscious processes, and embodiment effects from different hierarchy levels show a contravariant relationship between effect size and stability. Theoretically, the stability of an embodiment effect is partly determined by the hierarchy of the embodied variable, and dissociation of the dual process moderates the effect size. Empirically, the hierarchical linear model analytic method should be considered for embodied research; the embodied variable could be designed as a mediating or moderating variable, and other possible masked mediating variables should be considered. HAP offers an insightful theoretical perspective for the embodiment replication crisis.

submitted time 2019-03-25 Hits11570Downloads2169 Comment 0

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