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Strength and Direction of Demographic Variables as Determinants of Driver-Chauffeur Satisfaction in Judicial Procedural Fairness

机译:人口统计学变量的强度和方向是司法程序公正性中驾驶员-司机满意度的决定因素

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Studies have shown that treating litigants fairly is one way by which public confidence can be improved and sustained in the judiciary. Demographic features of such individuals may also influence their confidence indirectly and how they are satisfied with the procedures in the criminal justice system directly. The rationale of implementing the study was therefore to establish the extent of dissatisfaction of procedural fairness within the driver-chauffeur community in Cape Coast Metropolis in the Central Region of Ghana. The objectives were to determine the strength, direction and odds ratio of the major satisfaction predictors with reference to demographic characteristics. The study employed the purposive method, dwelling on the accidental technique to sample drivers and chauffeurs who had on one occasion or more fallen victim of traffic offence. Eighty subjects were sampled. The demographic variables considered include age; driving experience; type of vehicle; brand of vehicle; religion; and highest education attainment in relation to ten judicial fairness characteristics. Logistic regression was employed as the statistical tool to analyze the data using Statistical Package for the Social Sciences (SPSS) software, version 21. Generally, factors that influenced satisfaction were experience in driving (β2 = -0.667); type of vehicle (β3 = 0.553); religion (β4 = -0.363); highest educational attainment (β5 = -1.306) and brand of vehicle (β6 = -1.809). The contribution of age to the combined model was insignificant (ρ = 0.337). The paper recommends that judges in the metropolis should take these factors into consideration when hearing and deciding on matters concerning traffic offences.Key words: age; driving experience; educational attainment; religion; vehicle brand; vehicle type.
机译:研究表明,公平对待诉讼人是可以提高和维持司法机构公众信心的一种方式。这些人的人口特征也可能间接影响他们的自信心,并直接影响他们对刑事司法系统中的程序的满意度。因此,进行这项研究的理由是要建立加纳中部海岸角大都市的司机-司机社区对程序公正性的不满程度。目的是根据人口统计学特征确定主要满意度预测指标的强度,方向和优势比。该研究采用了有目的的方法,并以偶然性技术为基础,对曾有一次或多次成为交通犯罪受害者的驾驶员和司机进行抽样调查。采样了80名受试者。考虑的人口统计学变量包括年龄;驾驶经验;车辆类型;车辆品牌;宗教;与十个司法公正特征相关的最高学历。使用Logistic回归作为统计工具,使用社会科学统计软件包(SPSS)软件(版本21)来分析数据。通常,影响满意度的因素是驾驶经验(β2= -0.667);车辆类型(β3= 0.553);宗教(β4= -0.363);最高学历(β5= -1.306)和汽车品牌(β6= -1.809)。年龄对组合模型的贡献微不足道(ρ= 0.337)。本文建议,大城市的法官在审理和决定与交通犯罪有关的事项时应考虑这些因素。驾驶经验;教育程度;宗教;汽车品牌;车辆类型。

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