CAUSAL ANALYSIS OF RELIGIOUS VIOLENCE, A STRUCTURAL EQUATION MODELING APPROACH

被引:0
|
作者
Munajat [1 ]
机构
[1] State Inst Islamic Studies IAIN, Salatiga, Indonesia
关键词
fundamentalism; trust in government; political efficacy; religious violence; Structural Equation Modeling;
D O I
10.14421/ajis.2015.532.413-437
中图分类号
B9 [宗教];
学科分类号
010107 ;
摘要
The present study tries to investigate the causal model of religious violence using SEM (Structural Equation Modeling) approach. Previous quantitative research in social movements and political violence suggests that there are, at least, three factors, that caused violent collective actions, including religious violence: 1) the more fundamentalist people are, the more likely they justify violence, 2) people with lower trust in government is more likely to justify , violence, and 3) opposing the second argument: only people with low trust in government and high political efficacy are more likely to justify violence. Based on the data of 343 respondents, the activists of Front Pembela Islam, Muhammadiyah and Nabdlatul Ulama, this study confirms that the more fundamentalist people are, the more likely they are to justify violence regardless of their organizational affiliations. On the contrary, this study does not support the argument for the relationship between trust in government and violence. Similarly, the relationship between violence and the latent interaction of trust and political efficacy is not supported by the data. Therefore, this study suggests that fundamentalism, a type of religiosity, is a salient factor to e.explain religious violence.
引用
收藏
页码:413 / 437
页数:25
相关论文
共 50 条
  • [41] Analysis of Causal Relationships by Structural Equation Modeling to Determine the Factors Influencing Cognitive Function in Elderly People in Japan
    Kimura, Daisuke
    Nakatani, Ken
    Takeda, Tokunori
    Fujita, Takashi
    Sunahara, Nobuyuki
    Inoue, Katsumi
    Notoya, Masako
    [J]. PLOS ONE, 2015, 10 (02):
  • [42] The Estimation Process in Bayesian Structural Equation Modeling Approach
    Yanuar, Ferra
    [J]. 2014 INTERNATIONAL CONFERENCE ON SCIENCE & ENGINEERING IN MATHEMATICS, CHEMISTRY AND PHYSICS (SCIETECH 2014), 2014, 495
  • [43] Social competence in autism: A structural equation modeling approach
    Simmons, G. L.
    Corbett, B. A.
    Lerner, M. D.
    Wofford, K.
    White, S. W.
    [J]. AUTISM RESEARCH, 2024, 17 (04) : 761 - 774
  • [44] Metabolic syndrome and periodontitis: A structural equation modeling approach
    Nascimento, Gustavo G.
    Leite, Fabio R. M.
    Peres, Karen G.
    Demarco, Flavio F.
    Correa, Marcos B.
    Peres, Marco A.
    [J]. JOURNAL OF PERIODONTOLOGY, 2019, 90 (06) : 655 - 662
  • [45] Estimating intercoder reliability: a structural equation modeling approach
    Feng, Guangchao Charles
    [J]. QUALITY & QUANTITY, 2014, 48 (04) : 2355 - 2369
  • [46] Comparative approach on structural equation modeling software applications
    Ramos Sandoval, Rosmery
    Ramos-Diaz, Jano
    [J]. PROCEEDINGS OF THE 2018 IEEE 25TH INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON 2018), 2018,
  • [47] Suicidal ideation in adolescents: A structural equation modeling approach
    Choi, Jung-hyun
    Yu, Mi
    Kim, Kyoung-eun
    [J]. NURSING & HEALTH SCIENCES, 2015, 17 (01) : 119 - 125
  • [48] Validation of cognitive structures: A structural equation modeling approach
    Dimitrov, DM
    Raykov, T
    [J]. MULTIVARIATE BEHAVIORAL RESEARCH, 2003, 38 (01) : 1 - 23
  • [49] Factors Associated with Transphobia: A Structural Equation Modeling Approach
    Kanamori, Yasuko
    Xu, Yonghong J.
    [J]. JOURNAL OF HOMOSEXUALITY, 2022, 69 (04) : 716 - 740
  • [50] Estimating intercoder reliability: a structural equation modeling approach
    Guangchao Charles Feng
    [J]. Quality & Quantity, 2014, 48 : 2355 - 2369