社会阶层、社会支持、社会态度、适应策略对男性犯罪行为的影响研究
发布时间:2018-05-19 13:34
本文选题:社会阶层 + 主观阶层 ; 参考:《中国政法大学》2009年硕士论文
【摘要】: 本研究在论述失范理论框架下的紧张理论和一般紧张理论的基础上,提出本研究的理论构想,即我国当前转型时期下的犯罪现象与社会分层结构有着密切关系,分化的阶层结构使社会底层承受了更多的结构性紧张,而个体对分层结果的主观认知加剧了紧张的感受,影响个体的社会态度,进而影响个体的适应策略的选择倾向,从而影响了个体的犯罪行为的倾向性。在这个过程中,社会支持能够缓解个体的紧张,对个体的社会态度与行为有一定的调节作用。在该理论构想的基础上,形成了本研究的具体研究假设。 研究目的:本研究采用社会支持评定量表(SSRS),自编的社会态度问卷和适应策略量表对765位男性犯罪者和435位男性正常人群进行问卷调查,探讨转型时期我国犯罪者的社会支持、社会态度、适应策略的特征以及这些变量之间的相互关系,并在此基础上构建犯罪与否的Logistic回归方程,以探讨客观阶层、受教育水平、社会支持、主观阶层、社会态度及适应策略对个体犯罪行为的作用。 通过研究主要得出以下结论: 1.个体的客观阶层对犯罪行为有一定的影响,社会下层的犯罪率显著高于其他阶层的个体。 2.犯罪人群的遵从倾向和创新倾向与非犯罪人群存在显著差异,其余适应策略不存在显著差异; 3.社会支持水平高的个体的社会态度得分显著地高于社会支持水平低的个体,社会支持对社会态度有显著的预测作用; 4.社会态度对适应策略有显著的预测作用,社会态度越积极的个体倾向于选择合理的适应策略,社会态度越消极的个体倾向于选择失范的适应策略; 5.社会支持对各个适应策略不仅有直接的影响,而且也通过社会态度间接作用于适应策略; 6.本研究建立了以犯罪与否为因变量的Logistic回归方程,进入方程的自变量有受教育水平、主观阶层、社会支持、遵从和创新的适应策略。其中,主观阶层对个体的犯罪可能性的预测力最大,其次是受教育程度和社会支持,遵从和创新的预测力最小。
[Abstract]:On the basis of discussing the tense theory and the general tense theory under the frame of anomie theory, this study puts forward the theoretical conception of this study, that is, the crime phenomenon in the current transition period of our country is closely related to the social stratification structure. The differentiated stratum structure makes the social bottom suffer more structural tension, while the subjective cognition of the stratification result intensifies the feeling of tension, affects the individual's social attitude, and then affects the individual's tendency to choose the adaptation strategy. As a result, it affects the tendency of individual criminal behavior. In this process, social support can relieve individual tension and regulate individual social attitude and behavior. On the basis of the theoretical conception, the specific research hypotheses of this study are formed. Objective: the purpose of this study was to investigate the social support of 765 male offenders and 435 normal men by using the Social support rating scale (SSRS), a self-designed social attitude questionnaire and an adaptive strategy scale, in order to explore the social support of offenders in China during the transition period. On the basis of social attitude, characteristics of adaptation strategies and the relationship between these variables, the Logistic regression equation of crime or not is constructed to explore the objective class, education level, social support, subjective stratum, and so on. The effect of social attitude and adaptive strategy on individual criminal behavior. The main conclusions are as follows: 1. The objective stratum of the individual has certain influence on the criminal behavior, and the crime rate of the lower social stratum is significantly higher than that of the other class. 2. There were significant differences in compliance and innovation between the criminal and the non-criminal, but there was no significant difference in other adaptation strategies. 3. The score of social attitude of individuals with high level of social support was significantly higher than that of individuals with low level of social support, and social support had a significant predictive effect on social attitudes; 4. Social attitude has a significant predictive effect on adaptation strategies. The positive individuals tend to choose reasonable adaptation strategies, and the negative individuals tend to choose out-of-standard adaptation strategies. 5. Social support not only has a direct impact on each adaptation strategy, but also indirectly affects the adaptation strategy through social attitude. 6. In this study, the Logistic regression equation with the dependent variable of crime or not is established. The independent variables that enter the equation are educational level, subjective stratum, social support, compliance and innovative adaptation strategies. Among them, subjective stratum has the greatest ability to predict the possibility of individual crime, followed by education and social support, compliance and innovation of the least predictive power.
【学位授予单位】:中国政法大学
【学位级别】:硕士
【学位授予年份】:2009
【分类号】:D917.2
【引证文献】
相关硕士学位论文 前1条
1 张岩;基于社会支持网络的社区矫正研究[D];北京工业大学;2012年
,本文编号:1910299
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