內政部統計處(2013)。內政統計年報－人口年齡分配【92年-101年12-18歲人口數】。取自:http://sowf.moi.gov.tw/stat/year/y02-01.xls
內政部警政署(2013)。警政統計重要參考指標【92年-101年全般刑案少年、青年嫌疑犯人數】。取自:
http://www.npa.gov.tw/NPAGip/wSite/public/Attachment/f1387352418413.pd
王莊民（2011）。國小高年級學童生活適應、學業成就與偏差行為之研究：以嘉義縣為例（未出版之碩士論文）。國立中正大學，嘉義縣。
林秀怡、馬傳鎮、陳玉書（2003）。心理特質、緊張對少年偏差及犯罪行為影響之研究。玄奘社會科學學報，1，1-34。
侯崇文（2001）。家庭結構、家庭關係與青少年偏差行為探討。應用心理研究，11，25-43。彭怡芳(2002)。緊張、負面情緒與青少年偏差行為之研究。國立成功大學教育研究所，台南市。
張梅楓（2009）。客觀表現與社會比較對青少年自尊的預測（未出版之碩士論文）。國立臺灣師範大學，台北市。
張芝鳳（2000）。青少年與父母以及與同儕間的依附關係對其自我價值之影響研究。國立花蓮師範學院國民教育研究所，花蓮市。
張楓明、潭子文（2011）。個人信念、負向生活事件、偏差同儕與青少年初次偏差行為關聯性之實證研究。青少年犯罪防治研究期刊，3（1），133-159。陳心怡（2006）。貝克憂鬱量表第二版(中文版)指導手冊。台北:中國行為科學社。
許春金、羅玉珠（2011）。國小高年級學童偏差行為、依附鍵、信仰鍵之關聯性與徑路分析。青少年犯罪防治研究期刊，3（2），117-137。郭豫珍（2004）。Hirschi控制理論的原初觀點與發展：家庭與父母管教方式在子女非行控制上的角色。犯罪學期刊，7（1），49-80。董旭英、王文玲（2007）。國高中生依附父母、接觸偏差同儕、傳統價值觀念與偏差行為的關聯性之差異性研究。犯罪學期刊，10（2），29-48。
詹宜華、張楓明、董旭英（2012）。國中生接觸偏差同儕在其衝動性格、知覺父母監督與偏差行為間關聯性之中介效果。犯罪與刑事司法研究，18，89-123。劉行五、廖福村（2012）。台灣地區在學少年生活壓迫與社會支持因素對青少年偏差行為影響之性別研究。臺灣警察專科學校警專學報，5（4），99-122。衛生福利部統計處（2013）。中華民國九十九年臺閩地區兒童及少年生活狀況調查報告-少年報告書(摘要版)。2013年1月13日，取自
http://www.cbi.gov.tw/CBI_2/upload/8a116ffa-f715-4213-b372-e1dca505681c.doc
蔡禮鴻（2009）。框架理性：以展望理論檢視預期效用理論的普遍性。國立成功大學都市計畫研究所碩士論文，台南市。
Agnew, R. (1985). A revised strain theory of delinquency. Social Forces, 64(1), 151-167. doi: 10.2307/2578977
Agnew, R. (1989). A longitudinal test of the revised strain theory. Journal of Quantitative Criminology, 5, 373-387.Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30(1), 47-87.
Agnew, R. (2001). Building on the foundation of general strain theory: Specifying the types of strain most likely to lead to crime and delinquency. Journal of Research in Crime and Delinquency, 38(4), 319-361. doi: 10.1177/0022427801038004001
Agnew, R. (2005). Why do criminals offend? A general theory of crime and delinquency. Los Angeles, CA: Roxbury Publishing Company.
Agnew, R. (2006). General strain theory: Current status and directions for further reseach. In F. T. Cullen, J. P. Wright ＆ K. R. Blevins (Eds.), 2006 (Vol. 15, pp. 101-126). Taking stock: the status of criminological theory.
Agnew, R. (2009). General strain theory. In M. D. Krohn, A. J. Lizotte ＆ G. P. Hall (Eds.), Handbook on crime and deviance (pp. 169-185). New York, NY: Springer Science+Business Media.
Agnew, R., ＆ White, H. R. (1992). An empirical test of general strain theory. Criminology, 30(4), 475-499. doi: 10.1111/j.1745-9125.1992.tb01113.xAkers, R. L. (1996). Is differential association social learning cultural deviance theory? Criminology, 34(2), 229-247. doi: 10.1111/j.1745-9125.1996.tb01204.x
Akers, R. L. (1998). Social learning and social structure: A general theory of crime and deviance. Boston, MA: Northeastern University Press.
Akers, R. L., ＆ Jennings, W. G. (2009). The social learning theory of crime and deviance. In M. D. Krohn, A. J. Lizotte ＆ G. P. Hall (Eds.), Handbook on Crime and Deviance (pp. 103-120). New York, NY: Springer Science+Business Media.
Akers, R. L., Krohn, M. D., Lanzakaduce, L., ＆ Radosevich, M. (1979). Social-learning and deviant-behavior: Specific test of a general-theory. American Sociological Review, 44(4), 636-655. doi: 10.2307/2094592Akers, R. L., ＆ Sellers, C. S. (2009). Criminological theories: Introduction, evaluation, and application. New York, NY: Oxford.
Amodio, D. M., ＆ Frith, C. D. (2006). Meeting of minds: the medial frontal cortex and social cognition. Nature Reviews Neuroscience, 7, 268-277.
Arnett, J. (1992). Reckless behavior in adolescence - a developmental perspective. Developmental Review, 12(4), 339-373. doi: 10.1016/0273-2297(92)90013-r
Arnett, P. A., Smith, S. S., ＆ Newman, J. P. (1997). Approach and avoidance motivation in psychopathic criminal offenders during passive avoidance. Journal of Personality and Social Psychology, 72(6), 1413-1428. doi: 10.1037/0022-3514.72.6.1413
Arter, M. L. (2008). Stress and deviance in policing. Deviant Behavior, 29(1), 43-69. doi: 10.1080/01639620701457774
Baird, A. A., ＆ Fugelsang, J. A. (2004). The emergence of consequential thought: evidence from neuroscience. Philosophical Transactions of the Royal Society B-Biological Sciences, 359(1451), 1797-1804. doi: 10.1098/rstb.2004.1549
Bark, R., Dieckmann, S., Bogerts, B., ＆ Northoff, G. (2005). Deficit in decision making in catatonic schizophrenia: An exploratory study. Psychiatry Research, 134(2), 131-141. doi: 10.1016/j.psychres.2004.04.013
Baron, S. W. (2003). Self-control, social consequences, and criminal behavior: Street youth and the general theory of crime. Journal of Research in Crime and Delinquency, 40(4), 403-425. doi: 10.1177/0022427803256071
Bechara, A. (2005). Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nature Neuroscience, 8(11), 1458-1463. doi: 10.1038/nn1584
Bechara, A. (2007). Iowa gambling task professional manual. Lutz: Psychological Assessment Resources.
Bechara, A., Damasio, A. R., Damasio, H., ＆ Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50(1-3), 7-15. doi: 10.1016/0010-0277(94)90018-3
Bechara, A., ＆ Damasio, H. (2002). Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia, 40(10), 1675-1689. doi: Pii S0028-3932(02)00015-5Doi 10.1016/S0028-3932(02)00015-5
Bechara, A., Damasio, H., Tranel, D., ＆ Anderson, S. W. (1998). Dissociation of working memory from decision making within the human prefrontal cortex. Journal of Neuroscience, 18(1), 428-437.
Bechara, A., Dolan, S., Denburg, N., Hindes, A., Anderson, S. W., ＆ Nathan, P. E. (2001). Decision-malting deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia, 39(4), 376-389. doi: 10.1016/s0028-3932(00)00136-6
Bechara, A., Tranel, D., ＆ Damasio, H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain, 123, 2189-2202. doi: 10.1093/brain/123.11.2189
Bechara, A., Tranel, D., Damasio, H., ＆ Damasio, A. R. (1996). Failure to respond autonomically to anticipated future outcomes following damage to prefrontal cortex. Cerebral Cortex, 6(2), 215-225. doi: 10.1093/cercor/6.2.215
Beninger, R. J., Wasserman, J., Zanibbi, K., Charbonneau, D., Mangels, J., ＆ Beninger, B. V. (2003). Typical and atypical antipsychotic medications differentially affect two nondeclarative memory tasks in schizophrenic patients: a double dissociation. Schizophrenia Research, 61(2-3), 281-292. doi: 10.1016/S0920-9964(02)00315-8
Bigler, E. D., Mortensen, S., Neeley, E. S., Ozonoff, S., Krasny, L., Johnson, M., . . . Lainhart, J. E. (2007). Superior Temporal Gyrus, Language Function, and Autism. Developmental Neuropsychology, 31(2), 217-238.
Blakemore, S. J., ＆ Robbins, T. W. (2012). Decision-making in the adolescent brain. Nature Neuroscience, 15(9), 1184-1191. doi: 10.1038/nn.3177
Botchkovar, E., ＆ Broidy, L. (2013). Accumulated Strain, Negative Emotions,and Crime: A Test of General Strain Theory in Russia. Crime ＆ Delinquency, 59(6), 837-860. doi: 10.1177/0011128710382346
Brauer, J. R. (2009). Testing Social Learning Theory Using Reinforcement's Residue: A Multilevel Analysis of Self-Reported Theft and Marijuana Use in the National Youth Survey. Criminology, 47(3), 929-970.
Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., ＆ Shizgal, P. (2001). Functional imaging of neural responses to expectancy and experience of monetary gains and losses. Neuron, 30(2), 619-639. doi: 10.1016/s0896-6273(01)00303-8
Buelow, M. T., ＆ Suhr, J. A. (2009). Construct Validity of the Iowa Gambling Task. Neuropsychology Review, 19(1), 102-114. doi: 10.1007/s11065-009-9083-4
Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J., ＆ Gabrieli, J. D. E. (2002). Immature frontal lobe contributions to cognitive control in children: Evidence from fMRI. Neuron, 33(2), 301-311. doi: 10.1016/s0896-6273(01)00583-9
Burdick, J. D., Roy, A. L., ＆ Raver, C. C. (2013). Evaluating the Iowa Gambling Task as a direct assessment of impulsivity with low-income children. Personality and Individual Differences, 55(7), 771-776. doi: 10.1016/j.paid.2013.06.009
Burgess, R. L., ＆ Akers, R. L. (1966). Differential Association-Reinforcement Theory of Criminal Behavior. Social Problems, 14(2), 128-147. doi: 10.1525/sp.1966.14.2.03a00020
Burnett, S., Bault, N., Coricelli, G., ＆ Blakemore, S. J. (2010). Adolescents' heightened risk-seeking in a probabilistic gambling task. Cognitive Development, 25(2), 183-196. doi: 10.1016/j.cogdev.2009.11.003
Burt, C. H., Simons, R. L., ＆ Simons, L. G. (2006). A longitudinal test of the effects of parenting and the stability of self-control: Negative evidence for the general theory of crime. Criminology, 44(2), 353-396. doi: 10.1111/j.1745-9125.2006.00052.xCarver, C. S., Sutton, S. K., ＆ Scheier, M. F. (2000). Action, emotion, and personality: Emerging conceptual integration. Personality and Social Psychology Bulletin, 26(6), 741-751. doi: 10.1177/0146167200268008
Casey, B. J., ＆ Jones, R. M. (2010). Neurobiology of the Adolescent Brain and Behavior: Implications for Substance Use Disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 49(12), 1189-1201. doi: 10.1016/j.jaac.2010.08.017
Casey, B. J., Jones, R. M., ＆ Somerville, L. H. (2011). Braking and Accelerating of the Adolescent Brain. Journal of Research on Adolescence, 21(1), 21-33. doi: 10.1111/j.1532-7795.2010.00712.x
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., ＆ Woolard, J. (2010). Age Differences in Affective Decision Making as Indexed by Performance on the Iowa Gambling Task. Developmental Psychology, 46(1), 193-207. doi: 10.1037/a0016128
Cauffman, E., ＆ Steinberg, L. (2000). (Im)maturity of judgment in adolescence: Why adolescents may be less culpable than adults. Behavioral Sciences ＆ the Law, 18(6), 741-760. doi: 10.1002/bsl.416
Cavalcaa, E., Konga, G., Liss, T., Reynoldsc, E. K., Schepisd, T. S., Lejuezb, C. W., ＆ Krishnan-Sarina, S. (2013). A preliminary experimental investigation of peer influence on risk-taking among adolescent smokers and non-smokers. Drug and Alcohol Dependence, 129, 163-166.
Cavedini, P., Riboldi, G., D'Annucci, A., Belotti, P., Cisima, M., ＆ Bellodi, L. (2002). Decision-making heterogeneity in obsessive-compulsive disorder: Ventromedial prefrontal cortex function predicts different treatment outcomes. Neuropsychologia, 40(2), 205-211. doi: Doi 10.1016/S0028-3932(01)00077-X
Chiu, Y. C., ＆ Lin, C. H. (2007). Is deck C an advantageous deck in the Iowa gambling task? Behavioral and Brain Functions, 3. doi: 10.1186/1744-9081-3-37
Chiu, Y. C., Lin, C. H., Huang, J. T., Lin, S., Lee, P. L., ＆ Hsieh, J. C. (2008). Immediate gain is long-term loss: Are there foresighted decision makers in the Iowa Gambling Task? Behavioral and Brain Functions, 4. doi: 10.1186/1744-9081-4-13
Christopoulos, G. I., Tobler, P. N., Bossaerts, P., Dolan, R. J., ＆ Schultz, W. (2009). Neural correlates of value, risk, and risk aversion contributing to decision making under risk. The Journal of Neuroscience, 29(40), 12574-12583.
Corr, P. J., ＆ McNaughton, N. (2012). Neuroscience and approach/avoidance personality traits: A two stage (valuation-motivation) approach. Neuroscience and Biobehavioral Reviews, 36(10), 2339-2354. doi: 10.1016/j.neubiorev.2012.09.013
Cretacci, M. A. (2008). A general test of self-control theory: Has its importance been exaggerated? International Journal of Offender Therapy and Comparative Criminology, 52(5), 538-553. doi: 10.1177/0306624x07308665Crews, A. D. (2009). Biological theory. In J. M. Miller (Ed.), 21st Centry Criminology: A Reference Handbook (Vol. 1, pp. 184-200). Thousand Oaks, CA: Sage.
Crockford, D. N., Goodyear, B., Edwards, J., Quickfall, J., ＆ el-Guebaly, N. (2005). Cue-Induced Brain Activity in Pathological Gamblers. Biological Psychiatry, 58(10), 787-795.
Crone, E. A., ＆ Dahl, R. E. (2012). Understanding adolescence as a period of social-affective engagement and goal flexibility. Nature Reviews Neuroscience, 13, 636-650.
Cui, J. F., Chen, Y. H., Wang, Y., Shum, D. H. K., ＆ Chan, R. C. K. (2013). Neural correlates of uncertain decision making: ERP evidence from the Iowa Gambling Task. Frontiers in Human Neuroscience, 7. doi: 10.3389/fnhum.2013.00776
Cullen, F. T., Wright, J. P., ＆ Blevins, K. R. (2006). Introduction: Taking stock of criminological theory. In K. R. Cullen, J. P. Wright ＆ K. R. Blevins (Eds.), Taking stock: The status of criminological theory (Vol. 15, pp. 1-36). New Brunswick, NJ: Transaction Publishers.
Dale, A. M. (1999). Optimal experimental design for event-related fMRI. Human Brain Mapping, 8, 109-114.
Davis, C., Levitan, R. D., Muglia, P., Bewell, C., ＆ Kennedy, J. L. (2004). Decision-making deficits and overeating: A risk model for obesity. Obesity Research, 12(6), 929-935. doi: Doi 10.1038/Oby.2004.113
De Pascalis, V., Cozzuto, G., Caprara, G. V., ＆ Alessandri, G. (2013). Relations among EEG-alpha asymmetry, BIS/BAS, and dispositional optimism. Biological Psychology, 94(1), 198-209. doi: 10.1016/j.biopsycho.2013.05.016
Dedrick, R. F., ＆ Greenbaum, P. E. (2011). Multilevel Confirmatory Factor Analysis of a Scale Measuring Interagency Collaboration of Children's Mental Health Agencies. Journal of Emotional and Behavioral Disorders, 19(1), 27-40. doi: 10.1177/1063426610365879
Defoe, I. N., Dubas, J. S., Figner, B., ＆ van Aken, M. A. G. (2015). A meta-analysis on age differences in risky decision making: Adolescents versus children and adults. Psychological Bulletin, 141(1), 48-84. doi: 10.1037/a0038088
Delisi, M. (2009). Juvenile delinquency. In I. Miller ＆ J. Mitchell (Eds.), 21st Centrury Criminology: A reference handbook (Vol. 2, pp. 524-532). Thousand Oak, CA: Sage.
Dunn, B. D., Dalgleish, T., ＆ Lawrence, A. D. (2006). The somatic marker hypothesis: A critical evaluation. Neuroscience and Biobehavioral Reviews, 30(2), 239-271. doi: 10.1016/j.neubiorev.2005.07.001
Durkin, K. F., Wolfe, T. W., ＆ Clark, G. A. (2005). College students and binge drinking: An evaluation of social learning theory. Sociological Spectrum, 25(3), 255-272. doi: 10.1080/027321790518681
Dyer, N. G., Hanges, P. J., ＆ Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. The Leadership Quarterly, 16, 149-167.
Dziak, J. J., Lanza, S. T., ＆ Tan, X. (2014). Effect size, statistical power and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural Equation Modeling, 21(2), 534-552.Elliot, A. J., ＆ Thrash, T. M. (2002). Approach-avoidance motivation in personality: Approach and avoidance temperaments and goals. Journal of Personality and Social Psychology, 82(5), 804-818. doi: 10.1037/0022-3514.82.5.804
Elliot, A. J., ＆ Thrash, T. M. (2010). Approach and avoidance temperament as basic dimensions of personality. Journal of Personality, 78(3), 865-906.
Ernst, M., Grant, S. J., London, E. D., Contoreggi, C. S., Kimes, A. S., ＆ Spurgeon, L. (2003). Decision making in adolescents with behavior disorders and adults with substance abuse. American Journal of Psychiatry, 160(1), 33-40. doi: 10.1176/appi.ajp.160.1.33
Fearon, R. P., Bakermans-Kranenburg, M. J., van Ijzendoorn, M. H., Lapsley, A. M., ＆ Roisman, G. I. (2010). The Significance of Insecure Attachment and Disorganization in the Development of Children's Externalizing Behavior: A Meta-Analytic Study. Child Development, 81(2), 435-456.
Figner, B., Mackinlay, R. J., Wilkening, F., ＆ Weber, E. U. (2009). Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia Card Task. Journal of Experimental Psychology-Learning Memory and Cognition, 35(3), 709-730. doi: 10.1037/a0014983
Fritz, M. S., ＆ MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18(3), 233-239.
Froggio, G. (2007). Strain and juvenile delinquency: A critical review of Agnew's general strain theory. Journal of Loss ＆ Trauma, 12(4), 383-418. doi: 10.1080/15325020701249363
Gallupe, O., ＆ Bouchard, M. (2013). Adolescent parties and substance use: A situational approach to peer influence. Journal of Criminal Justice, 41(3), 162-171. doi: 10.1016/j.jcrimjus.2013.01.002
Galvan, A., Hare, T. A., Davidson, M., Spicer, J., Glover, G., ＆ Casey, B. J. (2005). The role of ventral frontostriatal circuitry in reward-based learning in humans. Journal of Neuroscience, 25(38), 8650-8656. doi: 10.1523/jneurosci.2431-05-2005
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., ＆ Casey, B. J. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. Journal of Neuroscience, 26(25), 6885-6892. doi: 10.1523/jneurosci.1062-06.2006
Galvan, A., ＆ McGlennen, K. M. (2013). Enhanced Striatal Sensitivity to Aversive Reinforcement in Adolescents versus Adults. Journal of Cognitive Neuroscience, 25(2), 284-296.
Gardner, M., ＆ Steinberg, L. (2005). Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: An experimental study. Developmental Psychology, 41(4), 625-635. doi: 10.1037/0012-1649.41.4.625
Gehring, W. J., ＆ Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295, 2279-2282.
Gibbs, J. J., Giever, D., ＆ Martin, J. S. (1998). Parental management and self-control: An empirical test of Gottfredson and Hirschi's general theory. 35, 1, 40-70.Gladwin, T. E., Figner, B., Crone, E. A., ＆ Wiers, R. W. (2011). Addiction, adolescence, and the integration of control and motivation. Developmental Cognitive Neuroscience, 1(4), 364-376. doi: 10.1016/j.dcn.2011.06.008
Gottfredson, M. R. (2006). The empirical status of control theory in criminology. In F. T. Cullen, J. P. Wright ＆ K. R. Blevins (Eds.), Taking stock : The status of criminological theory: Advances in criminological theory (Vol. 15, pp. 77-100). New Brunswick, NJ: Transaction Publishers.
Gottfredson, M. R., ＆ Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press.
Goudriaan, A. E., Oosterlaan, J., de Beurs, E., ＆ van den Brink, W. (2005). Decision making in pathological gambling: A comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cognitive Brain Research, 23(1), 137-151. doi: 10.1016/j.cogbrainres.2005.01.01
Grant, S., Contoreggi, C., ＆ London, E. D. (2000). Drug abusers show impaired performance in a laboratory test of decision making. Neuropsychologia, 38(8), 1180-1187. doi: 10.1016/s0028-3932(99)00158-xHaldane, M., Cunningham, G., Androutsos, C., ＆ Frangou, S. (2008). Structural brain correlates of response inhibition in Bipolar Disorder I. Journal of Psychopharmacology, 22(2), 138-143.
Harden, K. P., ＆ Tucker-Drob, E. M. (2011). Individual Differences in the Development of Sensation Seeking and Impulsivity During Adolescence: Further Evidence for a Dual Systems Model. Developmental Psychology, 47(3), 739-746. doi: 10.1037/a0023279
Hay, C. (2001). Parenting, self-control, and delinquency: A test of self-control theory. Criminology, 39(3), 707-736.Heck, H. R., ＆ Thomas, S. L. (2015). An introduction to multilevel modeling techniques (3rd ed.). New York, NY: Routledge.
Heck, R. H., ＆ Thomas, S. L. (2009). An introduction to multilevel modeling techniques (2nd ed.). New York, NY: Routledge.
Higgins, G. E., ＆ Tewksbury, R. (2007). Sports fan binge drinking: An examination using low self-control and peer association. Sociological Spectrum, 27(4), 389-404. doi: 10.1080/02732170701313472
Hirschi, T. (2002). Causes of delinquency. New Brunswick, NJ: Transaction Publishers.
Hoeve, M., Stams, G. J. J. M., van der Put, C. E., Dubas, J. S., van der Laan, P. H., ＆ Gerris, J. R. M. (2012). A meta-analysis of attachment to parents and delinquency. Journal of Abnormal Child Psychology, 40(5), 771-785. doi: 10.1007/s10802-011-9608-1
Horstkotter, D., Berghmans, R., de Ruiter, C., Krumeich, A., ＆ de Wert, G. (2012). We are also normal humans, you know? Views and attitudes of juvenile delinquents on antisocial behavior, neurobiology and prevention. International Journal of Law and Psychiatry, 35(4), 289-297. doi: 10.1016/j.ijlp.2012.04.006
Hox, J. J. (2010). Multilevel analysis : techniques and applications. New York: Routledge.
Hox, J. J., ＆ Maas, C. J. M. (2001). The Accuracy of Multilevel Structural Equation Modeling With Pseudobalanced Groups and Small Samples. Structural Equation Modeling-a Multidisciplinary Journal, 8(2), 157-174. doi: 10.1207/s15328007sem0802_1
Hox, J. J., Maas, C. J. M., ＆ Brinkhuis, M. J. S. (2010). The effect of estimation method and sample size in multilevel structural equation modeling. Statistica Neerlandica, 64(2), 157-170. doi: 10.1111/j.1467-9574.2009.00445.x
Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., ＆ Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 310(5754), 1680-1683. doi: 10.1126/science.1115327
Hu, L.-T., ＆ Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
Huettel, S. A., Song, A. W., ＆ McCarthy, G. (2014). Functional magnetic resonance imaging (3rd ed.). Sunderland, MA: Sinauer Associates, Inc.
Jenison, R. L., Rangel, A., Oya, H., Kawasaki, H., ＆ Howard, M. A. (2011). Value Encoding in Single Neurons in the Human Amygdala during Decision Making. Journal of Neuroscience, 31(1), 331-338. doi: 10.1523/jneurosci.4461-10.2011
Kahneman, D., ＆ Tversky, A. (1979). Prospect theory: Analysis of decision under risk. Econometrica, 47(2), 263-291. doi: 10.2307/1914185
Kaplan, D. (2009). Structural equation modeling: foundations and extensions (2nd ed.). Los Angeles: Sage.
Kempf-Leonard, K., Tracy, P. E., ＆ Howell, J. C. (2001). Serious, violent, and chronic juvenile offenders: The relationship of delinquency career types to adult criminality. Justice Quarterly, 18(3), 449-478. doi: 10.1080/07418820100094981
Ketay, S. (2007). Effects of Experimentally Generated Closeness on Self and Other Neural. (Phd doctoral dissertation), Stony Brook University, New York.
Kim, S. Y. (2014). Determining the number of latent classes in single- and multi-phase growth mixture models. Structural Equation Modeling, 21(2), 263-279.
Kline, R. B. (2011). Principle and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.
Krohn, M. D. (1999). Social learning theory: The continuing development of a perspective. Theoretical Criminology, 3, 462-476.
Krohn, M. D., Lanzakaduce, L., ＆ Akers, R. L. (1984). Community Context and Theories of Deviant-Behavior: An Examination of Social-Learning and Social Bonding Theories. Sociological Quarterly, 25(3), 353-372. doi: 10.1111/j.1533-8525.1984.tb00196.x
Krohn, M. D., ＆ Massey, J. L. (1980). Social control and delinquent behavior: an examination of the elements of the social bond. The Sociological Quarterly, 21(4), 529-543.
Lüdtke, O., Marsh, H. W., Robitzsch, A., Trautwein, U., Asparouhov, T., ＆ Muthén, B. O. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13, 203-229.
Li, X., ＆ Beretvas, S. N. (2013). Sample size limits for estimating upper level mediation models using multilevel SEM. Structural Equation Modeling, 20(2), 241-264. doi: 10.1080/10705511.2013.769391
Lilly, J. R., Cullen, F. T., ＆ Ball, R. A. (2007). Crime in American society: Anomie and strain theories. Thousand Oaks, CA: Sage.
Lin, C. H., Chiu, Y. C., Cheng, C. M., ＆ Hsieh, J. C. (2008). Brain maps of Iowa gambling task. BMC Neuroscience, 9(72), 1-15.
Luna, B., Padmanabhan, A., ＆ O'Hearn, K. (2010). What has fMRI told us about the Development of Cognitive Control through Adolescence? Brain and Cognition, 72(1), 101-113. doi: 10.1016/j.bandc.2009.08.005
Maas, M. J., ＆ Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86-92.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, N.Y: Lawrence Erlbaum Associates.
MacLean, R. R., Geier, C. F., Henry, S. L., ＆ Wilson, S. J. (2014). Digital Peer Interactions Affect Risk Taking in Young Adults. Journal of Research on Adolescence, 24(4), 772-780. doi: 10.1111/jora.12093
Maddock, R. J., Garrett, A. S., ＆ Buonocore, M. H. (2003). Posterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task. Human Brain Mapping, 18(1), 30-41.
Mak, A. S. (1990). TESTING A PSYCHOSOCIAL CONTROL-THEORY OF DELINQUENCY. Criminal Justice and Behavior, 17(2), 215-230. doi: 10.1177/0093854890017002005
Matsueda, R. L., Kreager, D. A., ＆ Huizinga, D. (2006). Deterring delinquents: A rational choice model of theft and violence. American Sociological Review, 71(1), 95-122.
Mazas, C. A., Finn, P. R., ＆ Steinmetz, J. E. (2000). Decision-making biases, antisocial personality, and early-onset alcoholism. Alcoholism-Clinical and Experimental Research, 24(7), 1036-1040. doi: 10.1097/00000374-200007000-00014
Mehta, P. D., ＆ Neale, M. C. (2005). People are variables too: Multilevel structural equations modeling. Psychological Methods, 10(3), 259-284. doi: 10.1037/1082-989x.10.3.259
Miranda, R., MacKillop, J., Meyerson, L. A., Justus, A., ＆ Lovallo, W. R. (2009). Influence of Antisocial and Psychopathic Traits on Decision-Making Biases in Alcoholics. Alcoholism-Clinical and Experimental Research, 33(5), 817-825. doi: 10.1111/j.1530-0277.2009.00901.x
Moon, B., Blurton, D., ＆ McCluskey, J. D. (2008). General strain theory and delinquency: Focusing on the influences of key strain characteristics on delinquency. Crime ＆ Delinquency, 54(4), 582-613. doi: 10.1177/0011128707301627
Moon, B., Morash, M., ＆ McCluskey, J. D. (2012). General Strain Theory and School Bullying: An Empirical Test in South Korea. Crime ＆ Delinquency, 58(6), 827-855. doi: 10.1177/0011128710364809
Must, A., Horvath, S., Nemeth, V., ＆ Janka, Z. (2013). The Iowa Gambling Task in depression–what have we learned about sub-optimal decision-making strategies? Frontiers in Psychology, 4(732), 1-6.
Must, A., Szabo, Z., Bodi, N., Szasz, A., Janka, Z., ＆ Keri, S. (2006). Sensitivity to reward and punishment and the prefrontal cortex in major depression. Journal of Affective Disorders, 90(2-3), 209-215. doi: 10.1016/j.jad.2005.12.005
Muthén, B., ＆ Asparouhov, T. (2011). Beyond multilevel regression modeling: Multilevel analysis in a general latent variable framework. In J. Hox ＆ J. K. Roberts (Eds.), Handbook of Advanced Multilevel Analysis (pp. 15-44). New York: Taylor and Francis.
Muthén, B., ＆ Asparouhov, T. (2015). Causal effects in mediation modeling: An introduction with applications to latent variables. Structural Equation Modeling, 22, 12-23.
Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods ＆ Research, 22(3), 376-398. doi: 10.1177/0049124194022003006
Muthén, L. K., ＆ Muthén, B. O. (1998-2012). Mplus User's Guide (Seventh Edition ed.). Los Angeles, CA: Muthén ＆ Muthén.
Muthen, B. O., ＆ Satorra, A. (1995). Complex Sample Data in Structural Equation Modeling. Sociological Methodology, 25, 267-316.
Nakhaie, M. R., Silverman, R. A., ＆ LaGrange, T. C. (2000). Self-control and social control: An examination of gender, ethnicity, class and delinquency. Canadian Journal of Sociology-Cahiers Canadiens De Sociologie, 25(1), 35-59. doi: 10.2307/3341910
Petry, N. M., Bickel, W. K., ＆ Arnett, M. (1998). Shortened time horizons and insensitivity to future consequences in heroin addicts. Addiction, 93(5), 729-738. doi: 10.1046/j.1360-0443.1998.9357298.x
Piquero, A. R. (2009). Self-control theory: Research issues. In M. D. Krohn, A. J. Lizotte ＆ G. P. Hall (Eds.), Handbook on crime and deviance (pp. 153-168). New York. NY: Springer Science+Business Media.
Polahowski, M. (1994). Linking self-and social control with deviance: Illuminating the structure underlying a general theory of crime and its relation to deviant activity. Criminology, 38, 897-930.
Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., . . . di Prampero, P. E. (1996). Primary motor and sensory cortex activation during motor performance and motor imagery: A functional magnetic resonance imaging study. The Journal of Neuroscience, 16(23), 7688-7698.
Pratt, T. C., ＆ Cullen, F. T. (2000). The empirical status of Gottfredson and Hirschi's general theory of crime: A meta-analysis. Criminology, 38(3), 931-964. doi: 10.1111/j.1745-9125.2000.tb00911.x
Pratt, T. C., Cullen, F. T., Sellers, C. S., Winfree, L. T., Madensen, T. D., Daigle, L. E., . . . Gau, J. M. (2010). The Empirical Status of Social Learning Theory: A Meta-Analysis. Justice Quarterly, 27(6), 765-802. doi: 10.1080/07418820903379610
Preacher, K. J. (2011). Multilevel SEM strategies for evaluating mediation in three-level data. Multivariate Behavioral Research, 46, 691-731.
Preacher, K. J., ＆ Kelley, W. M. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16(2), 93-115.
Preacher, K. J., Zyphur, M. J., ＆ Zhang, Z. (2010). A General Multilevel SEM Framework for Assessing Multilevel Mediation. Psychological Methods, 15(3), 209-233.
Preacher, K. J., Zyphur, M. J., ＆ Zhang, Z. (2011). Mediation in multilevel data: The advantages of multilevel SEM. Structural Equation Modeling, 18, 161-182.
Preckel, F., Goetz, T., Pekrun, R., ＆ Kleine, M. (2008). Gender differences in gifted and average-ability students : Comparing girls' and boys' achievement self-concept, interest, and motivation in Mathematics. Gifted Child Quarterly, 52(2), 146-159.
Radua, J., Phillips, M. L., Russell, T., Lawrence, N., Marshall, M., Kalidindi, S., . . . Surguladze, S. A. (2010). Neural response to specific components of fearful faces in healthy and schizophrenic adults. NeuroImage, 49(1), 939-946.
Reyna, V. F., ＆ Farley, F. (2006). Risk and rationality in adolescent decision making - Implications for theory, practice, and public policy. Psychological Science, 1-44. doi: 10.1145/1142680.1142682
Ritter, L. M., Meador-Woodruff, J. H., ＆ Dalack, G. W. (2004). Neurocognitive measures of prefrontal cortical dysfunction in schizophrenia. Schizophrenia Research, 68(1), 65-73. doi: 10.1016/S0920-9964(03)00086-0
Rotheram-Fuller, E., Shoptaw, S., Berman, S. M., ＆ London, E. D. (2004). Impaired performance in a test of decision-making by opiate-dependent tobacco smokers. Drug and Alcohol Dependence, 73(1), 79-86. doi: 10.1016/j.drugalcdep.2003.10.003Sampson, R. J., ＆ Laub, J. h. (1993). Crime in the Making: Pathways and Turning Points Through Life. Cambridge, MA: Harvard University Press.
Satorra, A., ＆ Bentler, P. M. (2010). Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika, 75, 243-248.Schmalleger, F., ＆ Bartollas, C. (2008). Juvenile Delinquency. Boston, MA: Pearson.
Schonberg, T., Fox, C. R., ＆ Poldrack, R. A. (2011). Mind the gap: bridging economic and naturalistic risk-taking with cognitive neuroscience. Trends in Cognitive Sciences, 15(1), 11-19.
Shurman, B., Horan, W. P., ＆ Ntuechterlein, K. H. (2005). Schizophrenia patients demonstrate a distinctive pattern of decision-making impairment on the Iowa Gambling Task. Schizophrenia Research, 72(2-3), 215-224. doi: 10.1016/j.schres.2004.03.020
Smith, D. G., Xiao, L., ＆ Bechara, A. (2012). Decision Making in Children and Adolescents: Impaired Iowa Gambling Task Performance in Early Adolescence. Developmental Psychology, 48(4), 1180-1187. doi: 10.1037/a0026342
Sokol-Hessner, P., Hsu, M., Curley, N. G., Delgado, M. R., Camerer, C. F., ＆ Phelps, E. A. (2009). Thinking like a trader selectively reduces individuals' loss aversion. Proceedings of the National Academy of Sciences of the United States of America, 106(13), 5035-5040. doi: 10.1073/pnas.0806761106
Solway, A., ＆ Botvinick, M. M. (2012). Goal-Directed Decision Making as Probabilistic Inference: A Computational Framework and Potential Neural Correlates. Psychological Review, 119(1), 120-154. doi: 10.1037/a0026435
Somerville, L. H. (2013). The Teenage Brain: Sensitivity to Social Evaluation. Current Directions in Psychological Science, 22(2), 121-127. doi: 10.1177/0963721413476512
Somerville, L. H., Jones, R. M., ＆ Casey, B. J. (2010). A time of change: Behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues. Brain and Cognition, 72(1), 124-133. doi: 10.1016/j.bandc.2009.07.003
Stapleton, L. M. (2013). Multilevel structural equation modeling with complex sample data. In G. R. Hancock ＆ R. O. Mueller. (Eds.), Structural equation modeling : a second course (pp. 521-562). Charlotte, NC: Information Age Publishing.
Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Sciences, 9(2), 69-74. doi: 10.1016/j.tics.2004.12.005
Steinberg, L. (2007). Risk taking in adolescence: New perspectives from brain and behavioral science. Current Directions in Psychological Science, 16(2), 55-59. doi: 10.1111/j.1467-8721.2007.00475.x
Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78-106. doi: 10.1016/j.dr.2007.08.002
Steinberg, L. (2010). A behavioral scientist looks at the science of adolescent brain development. Brain and Cognition, 72(1), 160-164. doi: 10.1016/j.bandc.2009.11.003
Suhr, J. A., ＆ Tsanadis, J. (2007). Affect and personality correlates of the Iowa Gambling Task. Personality and Individual Differences, 43(1), 27-36. doi: 10.1016/j.paid.2006.11.004
Sutherland, E. H., ＆ Cressey, D. R. (1960). Principles of criminology (6th ed.). Chicago: Lippincott.
Tamm, L., Menon, V., ＆ Reiss, A. L. (2002). Maturation of brain function associated with response inhibition. Journal of the American Academy of Child and Adolescent Psychiatry, 41(10), 1231-1238. doi: 10.1097/00004583-200210000-00013
Tanabe, J., Reynolds, J., Krmpotich, T., Claus, E., Thompson, L. L., Du, Y. P., ＆ Banich, M. T. (2013). Reduced Neural Tracking of Prediction Error in Substance-Dependent Individuals. American Journal of Psychiatry, 170(11), 1356-1363. doi: 10.1176/appi.ajp.2013.12091257
Taylor, C. (2001). The relationship between social and self-control: Tracing Hirschi's criminological career. Theoretical Criminology, 5(3), 369-388. doi: 10.1177/1362480601005003004
Tittle, C. R., ＆ Botchkovar, E. V. (2005). Self-control, criminal motivation and deterrence: An investigation using Russian respondents. Criminology, 43(2), 307-353. doi: 10.1111/j.0011-1348.2005.00010.x
Tittle, C. R., Ward, D. A., ＆ Grasmick, H. G. (2003). Self-control and crime/deviance: Cognitive vs. behavioral measures. Journal of Quantitative Criminology, 19(4), 333-365. doi: 10.1023/b:joqc.0000005439.45614.24
Tittle, C. R., Ward, D. A., ＆ Grasmick, H. G. (2004). Capacity for self-control and individuals' interest in exercising self-control. Journal of Quantitative Criminology, 20(2), 143-172. doi: 10.1023/b:joqc.0000029092.81837.74
Tversky, A., ＆ Kahneman, D. (1973). Availability - heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207-232. doi: 10.1016/0010-0285(73)90033-9
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M. R., Powers, A., Weeda, W. D., . . . Figner, B. (2015). Neural correlates of expected risks and returns in risky choice across development. The Journal of Neuroscience, 35(4), 1549-1560.
van Honk, J., Schutter, D. J. L. G., Hermans, E. J., Putman, P., Tuiten, A., ＆ Koppeschaar, H. (2004). Testosterone shifts the balance between sensitivity for punishment and reward in healthy young women. Psychoneuroendocrinology, 29(7), 937-943. doi: 10.1016/j.psyneunen.2003.08.007
Vito, A. G., ＆ Higgins, G. E. (2013). A Research Note on Adolescent Steroid Use: An Examination of Social Learning Theory and Self-Control Theory. Deviant Behavior, 34(12), 951-960. doi: 10.1080/01639625.2013.793577
Wallis, J. D. (2007). Orbitofrontal cortex and its contribution to decision-making Annual Review of Neuroscience (Vol. 30, pp. 31-56).
Wang, J., ＆ Wang, X. (2012). Structural equation modeling: Application using Mplus. West Sussex, England: Wiley.
Ward, B. W., ＆ Gryczynski, J. (2009). Social Learning Theory and the Effects of Living Arrangement on Heavy Alcohol Use: Results From a National Study of College Students. Journal of Studies on Alcohol and Drugs, 70(3), 364-372.
Warr, M. (1993). Age, peers, and delinquency. Criminology, 31(1), 17-40. doi: 10.1111/j.1745-9125.1993.tb01120.x
Whitlow, C. T., Liguori, A., Livengood, L. B., Hart, S. L., Mussat-Whitlow, B. J., Lamborn, C. M., . . . Porrino, L. J. (2004). Long-term heavy marijuana users make costly decisions on a gambling task. Drug and Alcohol Dependence, 76(1), 107-111. doi: 10.1016/j.drugalcdep.2004.04.009
Williams, K. S. (2008). Anomie, strain and juvenile subculture. In K. S. Williams (Ed.), Textbook on criminology (pp. 347-377). New York: Oxford.
Willoughby, T., Good, M., Adachi, P. J. C., Hamza, C., ＆ Tavernier, R. (2013). Examining the link between adolescent brain development and risk taking from a social-developmental perspective. Brain and Cognition, 83, 315-323.
Wright, J. P., ＆ Cullen, F. T. (2001). Parental efficacy and delinquent behavior: Do control and support matter? Criminology, 39(3), 677-705. doi: 10.1111/j.1745-9125.2001.tb00937.x
Zhang, Z., Zyphur, M. J., ＆ Preacher, K. J. (2009). Testing multilevel mediation using hierarchical linear models: Problems and solutions. Organizational Research Methods, 12(4), 695-719.
Zimmerman, G. M., ＆ Vasquez, B. E. (2011). Decomposing the peer effect on adolescent substance use: mediation, nonlinearity, and differential nonlinearity. Criminology, 49(4), 1235-1273. doi: 10.1111/j.1745-9125.2011.00244.x
Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. New York: Cambridge University Press.