Juvenile delinquency is a constant problem in today's society. According to some of the latest statistics on juvenile delinquency recorded in 2009, approximately 1.9 million juveniles were arrested in the United States alone (Ryan, Williams, & Courtney, 2013). The US Census Bureau recorded that nearly 313.9 million people were currently living in the United States in 2012 (US Census, 2012). When comparing the statistics, 1.9 million juvenile delinquencies seem minimal compared to the 313.9 million individuals in society. However, 313.9 million does not classify the number of individuals who are youth, young adults, middle-aged adults, or older adults. The rate of individuals classified as juvenile delinquents in the United States is alarming when considering the number of juveniles in the United States overall. Several studies indicate that some risk factors contribute to juvenile delinquency (Childs, Frick, Ryals, Lingonblad, and Villio 2014; Ibabe, Jaureguizar, and Bentler 2013; 2001; Tremblay and LeMarquand 2001; Determination of risk factors can also influence the likelihood of recidivism. The evaluation of risk factors is necessary to formulate prevention programs and approaches (Shader, 2001). A thorough evaluation of the youth generation of society and the risk factors that contribute to certain behaviors could alleviate some crimes committed by this generation and ultimately develop approaches for future generations. The more knowledge society has about youth risk factors and the ability to attend prevention programs, the more society should see a decrease in crime rates among the youth population the young population is assisted during their youth, then the chances of being ca...... at the center of the paper ......-cohesive family relationships (Wasserman et. al, 2003). Routinely, risk factors are identified through cross-sectional study designs, however researchers studying risk factors have used longitudinal and quasi-experimental designs (Day, Wanklyn, & Yessine, 2014). A cross-sectional design study is the equivalent of taking measurements or data from a particular point in time and analyzing the results. The potential problem with studying risk factors with a cross-sectional design is that only a certain time frame is measured, leaving room for misinformation and making it difficult to positively identify causes and effects. Longitudinal designs are studies performed over a long period of time. Longitudinal studies often offer more information about the risk factors studied and are able to explain things in depth because a significant amount of data is recorded.