An Approach to Mining Local Causal Relationships from Databases

2005 ◽  
pp. 51-58
Author(s):  
Yang Bo He ◽  
Zhi Geng ◽  
Xun Liang
Keyword(s):  
Causal Relationships

Causal Relationships and Short-Term Dynamics Between Oil Price and Stock Market Returns in Malaysia

2020 ◽  
Vol 24 (02) ◽  
pp. 1184-1204
Author(s):  
Arif Rasheed ◽  
Mitra Saeedi ◽  
Nalini Gebril ◽  
Kumaraseh Hariraj
Keyword(s):  
Stock Market ◽  
Oil Price ◽  
Causal Relationships ◽  
Market Returns ◽  
Short Term ◽  
Stock Market Returns

The bidirectional association between Internet addiction and depression: a large-sample longitudinal study among Chinese university students (Preprint)

2020 ◽  
Author(s):  
Wan-Jun Guo ◽  
Xia Yang ◽  
Yu-Jie Tao ◽  
Ya-Jing Meng ◽  
Hui-Yao Wang ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Internet Addiction ◽  
Causal Effects ◽  
Causal Relationships ◽  
Depression Severity ◽  
Large Sample ◽  
Panel Model ◽  
Bidirectional Association ◽  
Predictive Effect

BACKGROUND Evidence indicates that Internet addiction (IA) is associated with depression, but longitudinal studies have rarely been reported, and no studies have yet investigated potential common vulnerability or a possible specific causal relationship between these disorders. OBJECTIVE To overcome these gaps, the present 12-month longitudinal study based on a large-sample employed a cross-lagged panel model (CLPM) approach to investigate the potential common vulnerability and specific cross-causal relationships between IA and CSD (or depression). METHODS IA and clinically-significant depression (CSD) among 12 043 undergraduates were surveyed at baseline (as freshmen) and in follow-up after 12 months (as sophomores). Application of CLPM revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. RESULTS Rates of baseline IA and CSD were 5.47% and 3.85%, respectively; increasing to 9.47% and 5.58%, respectively at follow-up. Among those with baseline IA and CSD, 44.61% and 34.48% remained stable at the time of the follow-up survey, respectively. Rates of new-incidences of IA and CSD over 12 months were 7.43% and 4.47%, respectively. Application of a cross-lagged panel model approach (CLPM, a discrete time structural equation model used primarily to assess causal relationships in real-world settings) revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. Models revealed that baseline CSD (or depression severity) had a significant net-predictive effect on follow-up IA (or IA severity), and baseline IA (or IA severity) had a significant net-predictive effect on follow-up CSD (or depression severity). CONCLUSIONS These correlational patterns using a CLPM indicate that both common vulnerability and bidirectional specific cross-causal effects between them may contribute to the association between IA and depression. As the path coefficients of the net-cross-predictive effects were significantly smaller than those of baseline to follow-up cross-section associations, vulnerability may play a more significant role than bidirectional-causal effects. CLINICALTRIAL Ethics Committee of West China Hospital, Sichuan University (NO. 2016-171)

Depression and insomnia: identifying causal relationships in order to choose treatment mode

2017 ◽  
Vol 0 (7.93) ◽  
pp. 63-67
Author(s):  
M.M. Oros ◽  
S.V. Oros ◽  
V.I. Smolanka ◽  
T.V. Ivanio
Keyword(s):  
Causal Relationships ◽  
Treatment Mode

scholarly journals Causal relationships between milk quality and coagulation properties in Italian Holstein-Friesian dairy cattle

2015 ◽  
Vol 47 (1) ◽  
Author(s):  
Francesco Tiezzi ◽  
Bruno D Valente ◽  
Martino Cassandro ◽  
Christian Maltecca
Keyword(s):  
Dairy Cattle ◽  
Milk Quality ◽  
Causal Relationships ◽  
Holstein Friesian

The Model of Goal-Directed Behavior in Tourism and Hospitality: A Meta-analytic Structural Equation Modeling Approach

2021 ◽  
pp. 004728752199124
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Structural Equation Modeling ◽  
Cultural Differences ◽  
Structural Equation ◽  
Meta Analysis ◽  
Equation Modeling ◽  
Causal Relationships ◽  
Eastern Culture ◽  
Analytic Review ◽  
Tourism And Hospitality ◽  
Goal Directed Behavior

The model of goal-directed behavior (MGB) has been widely utilized to explore consumer behavior in the fields of tourism and hospitality. However, prior studies have demonstrated inconsistent findings with respect to the causal relationships of the MGB variables. To address this issue, we conducted a meta-analytic review based on studies that had previously applied MGB. Moreover, we compared the cultural differences that emerged within MGB. By reviewing and analyzing 37 studies with 39 samples ( N = 14,581), this study found that among the causal relationships within MGB, positive anticipated emotion was the most influential determinant in the formation of consumer desire. In addition, different patterns of causal relationships between Eastern culture and Western culture were identified within MGB. This article is the first meta-analysis to address the application of MGB in tourism and hospitality and, thus, contributes to the theoretical advancement of MGB.

scholarly journals Author Correction: An investigation of causal relationships between prediabetes and vascular complications

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pascal M. Mutie ◽  
Hugo Pomares-Millan ◽  
Naeimeh Atabaki-Pasdar ◽  
Nina Jordan ◽  
Rachel Adams ◽  
...  
Keyword(s):  
Vascular Complications ◽  
Causal Relationships

A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20663-6

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