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  本文選題：社會階層 + 主觀階層��； 參考：《中國政法大學》2009年碩士論文

【摘要】： 本研究在論述失范理論框架下的緊張理論和一般緊張理論的基礎上,提出本研究的理論構(gòu)想,即我國當前轉(zhuǎn)型時期下的犯罪現(xiàn)象與社會分層結(jié)構(gòu)有著密切關系,分化的階層結(jié)構(gòu)使社會底層承受了更多的結(jié)構(gòu)性緊張,而個體對分層結(jié)果的主觀認知加劇了緊張的感受,影響個體的社會態(tài)度,進而影響個體的適應策略的選擇傾向,從而影響了個體的犯罪行為的傾向性。在這個過程中,社會支持能夠緩解個體的緊張,對個體的社會態(tài)度與行為有一定的調(diào)節(jié)作用。在該理論構(gòu)想的基礎上,形成了本研究的具體研究假設。 研究目的:本研究采用社會支持評定量表(SSRS),自編的社會態(tài)度問卷和適應策略量表對765位男性犯罪者和435位男性正常人群進行問卷調(diào)查,探討轉(zhuǎn)型時期我國犯罪者的社會支持、社會態(tài)度、適應策略的特征以及這些變量之間的相互關系,并在此基礎上構(gòu)建犯罪與否的Logistic回歸方程,以探討客觀階層、受教育水平、社會支持、主觀階層、社會態(tài)度及適應策略對個體犯罪行為的作用。 通過研究主要得出以下結(jié)論: 1.個體的客觀階層對犯罪行為有一定的影響,社會下層的犯罪率顯著高于其他階層的個體。 2.犯罪人群的遵從傾向和創(chuàng)新傾向與非犯罪人群存在顯著差異,其余適應策略不存在顯著差異; 3.社會支持水平高的個體的社會態(tài)度得分顯著地高于社會支持水平低的個體,社會支持對社會態(tài)度有顯著的預測作用; 4.社會態(tài)度對適應策略有顯著的預測作用,社會態(tài)度越積極的個體傾向于選擇合理的適應策略,社會態(tài)度越消極的個體傾向于選擇失范的適應策略; 5.社會支持對各個適應策略不僅有直接的影響,而且也通過社會態(tài)度間接作用于適應策略; 6.本研究建立了以犯罪與否為因變量的Logistic回歸方程,進入方程的自變量有受教育水平、主觀階層、社會支持、遵從和創(chuàng)新的適應策略。其中,主觀階層對個體的犯罪可能性的預測力最大,其次是受教育程度和社會支持,遵從和創(chuàng)新的預測力最小。
[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.
【學位授予單位】：中國政法大學
【學位級別】：碩士
【學位授予年份】：2009
【分類號】：D917.2

【引證文獻】

相關碩士學位論文 前1條

1 張巖;基于社會支持網(wǎng)絡的社區(qū)矯正研究[D];北京工業(yè)大學;2012年

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本文編號：1910299