Open AccessExploring the Pattern of Voters’ Characteristics: Partial Least Square Analysis
Author(s) -
Muharman Lubis,
Arif Ridho Lubis,
Ahmad Almaarif
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1566/1/012109
Subject(s) - formative assessment , voting , norm (philosophy) , politics , diversity (politics) , socialization , psychology , voting behavior , social psychology , survey data collection , political science , statistics , mathematics , mathematics education , law
Understanding of characteristics can be assessed either by public decision-makers, who have been the primary concern of political actors or by voters themselves, who have participated directly in the process of election. Therefore, this study focused on the voters’ self-evaluation to look out on the voter decisions with survey questionnaire have been used as the tools to collect the data independently in relation to create formative measurement model. In addition, major influences to the public also involves the role of emotion, political socialization and tolerance to the diversity of media views. This study investigated gender-based patterns of 790 samples using PLS as a data analysis tool, which found interesting result, which suggested that Social Norm (SNorm) have strongest effect to both PCon and PBen with 0.179 and 0.066 respectively followed by Technology Solution (TSol) with 0.057 and 0.022 as well Legal Regulation (LReg) with 0.043 and 0.020 accordingly. Thus, in the developed model, the researcher recommend that social factors can lead to determination of demand and participation in the voting to have public confidence and good behaviour in the protective manner.