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Insights Into Regression Analysis Research Assignment

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Insights Into Regression Analysis
Regression analysis is a statistical tool for the investigation of relationships between variables. In essence, it is a technique for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. Social scientists use regression analysis to ascertain the causal effect of one variable upon another. Regression analysis in general is the most commonly performed statistical procedure in the social science field, but there are several different types of regression techniques that you may encounter when analyzing criminal justice research. The first commonly used type of regression analysis is linear regression. Linear regression is used to show the linear relationship between two variables. If you collected data that suggested that— hypothetically— as offenders' age increases, rates of recidivism decrease, you could use linear regression to show this relationship. On a graph, the regression line of such a research problem would slope downward to the right, representing the fact that as individuals get older, they commit fewer crimes.
In social research, however, it is rarely the case that causal relationships can be explained by the relationship between a dependent variable and only one independent variable. It is often the case that multiple factors (i.e., variables) influence a dependent variable, in which case multiple regression is necessary. Multiple regression also fits a regression line to a dataset, but incorporates the effect of two or more variables on the dependent variable in question. For instance, for the example above, the regression line might look a bit different if you also factored in marriage status or geographic region, in addition to age, as a predictor of recidivism.
For this Discussion, select one of the articles in this week's Learning Resources. Examine the article, focusing on which regression technique was used by the article's author when conducting the research presented. Consider the implications of the technique used and any insights you gained about using regression analysis in criminal justice research.
References
Bachman, R., & Schutt, R. K. (2014). The Practice of Research in Criminology and Criminal Justice (5th ed.). Thousand Oaks, CA: Sage.
Dattalo, P. (2010). Ethical Dilemmas in Sampling. Journal of Social Work, Values and Ethics, 7(1), 1-12. Retrieved from http://www(dot)jswvearchives(dot)com/spring2010/2dattalo.pdf

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Insights into Regression Analysis
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May 9, 2017
Formal and Informal Deterrents to Domestic Violence
According to Gordon (n.d.) regression analysis in the social sciences is not a simple matter of connecting one independent variable into another dependent variable and hoping to find a conclusive causal relationship between the two of them. Regression analysis in the social sciences, on the other hand, requires the researcher to take into consideration more than one dependent and independent variables and the relationships between them. An example of this is Bachman and Schutt’s (2013) article entitled ‘Does Bullying Increase Risk of Suicide for Both Victims and Bullies’ (taken from Pate and Hamilton’s Domestic Violence Experiment), which required more than just measuring the deterrent effects of arrest in correlation to domestic violence cases and also informal social control. In order to measure the relationship between the two variables, the experimenters also measured indicators such as “arrest or nonarrest for formal deterrence, and marital status and employment status for informal deterrence” as well as informal social control (Bachman & Schutt, 2013). Measuring these indicators are very important for the fact that domestic violence could be caused and deterred by a number of factors. In conclusion, the researchers of the experiment as stated above stated that among the variables that they considered, the ‘informal social control processes’ poses the most significant effect in the decrease of cases of domestic violence. More specifically, Pate and Hamilton concluded that the effect of informal social control influences the effectiveness and impact of formal sanctions (arrest), which in turn, decreases the rates of domestic violence (Bachman & Schutt, 2013).
Regression analysis
In the experiment done by Pa...
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