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Book/movie review
22/08/2022
The binary regression method is a definitive and final answer based on research numbers provided. Take the numbers and apply them to see if the answer is a positive or a negative. The binary numbers or the 0’s or 1’s of the research will show the answer if it is a good answer or a not so good answer. The method used for this study is to define racial profiling. The answer needs to be a clear yes or no. (Garson, 2009) There can be no variables such as times of day or das of the week. The answer needs to be definitive with a numbers stating yes or no. Without the definitive there will still be a lot of questions to answer. If there is any opportunity to leave anything in the open it will be exploited. This is why the binary regression method would be the best for this study. (Johnson, 2014)
Resources
Garson, G. D. (2009, April 4). Logistic regression. Retrieved from http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm
Johnson, G. (2014). Research methods for public administrators (3rd Ed.). Armonk, NY: M. E. Sharpe.
Laureate Education (Producer). (2013c). Virtual community. [Multimedia file]. Baltimore, MD: Author
2. Mr. Tanner
Binary logistics regression would be the most accurate form of evaluation for my research project. Binary logistic regression is “a form of regression which is used when the dependent is a dichotomy and the independents are of any type”(Garson, 2009, para#1). When trying to decide rather there is a decrease in the prison system and recidivism there are several variables that contribute. The Binary logistics evaluates division and contrast between two things that are represented as entirely different. Binary logistics works with multiple regression statistics. According to Johnson (2014), “this analytical technique measures several independent variables simultaneously to explain the changes in the dependent variable” (p.219). There are several variables such as jobs, gender, race, support systems, environment, etc. that affect the outcome of rather recidivism decreases and rather prison crowding decrease.
There are limitations to binary logistics. Correlation between some independent variables will “throw off the regression model, which works best when the independent variables are not correlated to each other” (Johnson, 2014, p.226). Therefore I would have to be careful when utilizing arrest records against crime rates. They are correlated with one another which can skew the data regarding reduction in crime rates.
References:
Johnson, G. (2014). Research methods for public administrators (3rd ed.). Armonk, NY: M. E. Sharpe.
Garson, G. D. (2009, April 4). Logistic regression. Retrieved from http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm
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