· Article: Acierno, R., Hernandez, M., Amstadter, A., Resnick, H., Steve, K., Muzzy, W., & Kilpatrick, D. (2010). Prevalence and correlates of emotional, physical, sexual, and financial abuse and potential neglect in the United States: The National Elder Mistreatment Study. American Journal of Public Health, 100(2), 292–297.
Prevalence and correlates of emotional, physical, sexual, and financial abuse and potential neglect in the United States: The National Elder Mistreatment Study 100(2) by Acierno, R., Hernandez, M., Amstadter, A., Resnick, H., Steve, K., Muzzy, W., & Kilpatrick, D. Copyright 2010 by AMERICAN PUBLIC HEALTH ASSOCIATION. Reprinted by permission of AMERICAN PUBLIC HEALTH ASSOCIATION via the Copyright Clearance Center.
· Article: Cancino, J., Varano, S., Schafer, J. A., & Enriquez, R. (2007). An ecological assessment of property and violent crime rates across a Latino urban landscape: The role of social disorganization and institutional anomie theory. Western Criminology Review, 8(1), 69–87.
· Article: Lowenkamp, C. T., Hubbard, D., Makarios, M. D., & Latessa, E. J. (2009). A quasi-experimental evaluation of thinking for a change: A ‘real-world’ application. Criminal Justice and Behavior, 36(2), 137–146.
A quasi-experimental evaluation of thinking for a change: A ‘real-world’ application 36(2) by Lowenkamp, C. T., Hubbard, D., Makarios, M. D., & Latessa, E. J. Copyright 2009 by SAGE PUBLICATIONS INC. JOURNALS. Reprinted by permission of SAGE PUBLICATIONS INC. JOURNALS via the Copyright Clearance Center.
· Book Excerpt: Babbie, E. (2010). The practice of social research (12th ed.). Belmont, CA: Wadsworth Publishing.
o Chapter 16, “Statistical Analyses“
The practice of social research, 12th edition by Babbie, E. Copyright 2010 by Wadsworth, A Division of Cengage Learning. Reprinted by permission of Wadsworth, A Division of Cengage Learning, via the Copyright Clearance Center.
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.
With these thoughts in mind:
Post by Day 4 the title of the article you selected. Explain why the author(s) employed the regression technique presented in the article and how the results of the regression were interpreted. Finally, explain one conclusion you drew or insight you gained about using regression analysis in criminal justice research.
One and a half page with at least two reference plagiarism free….
It is important that you cover all the topics identified in the assignment. Covering the topic does not mean mentioning the topic BUT presenting an explanation from the context of ethics and the readings for this class
To get maximum points you need to follow the requirements listed for this assignments 1) look at the page limits 2) review and follow APA rules 3) create SUBHEADINGS to identify the key sections you are presenting and 4) Free from typographical and sentence construction errors.