U06D1-Learned about Logistic Regression
In response to the question regarding what was learned about logistic regression, the discovery of different approaches appropriate for different types of research and data collected was most interesting. Depending on the methods by which data is entered into SPSS (IBM, 2016), there may or not be a theoretical basis for data entry or calculation. Contributions of each variable and the relationship to other predictor variables tends to drive a researcher in a particular logistic regression scenario. Sequential logistic regression seemed similar to the method by which participants respond to instruments. In the development, instruments tend to be validated by participant response in the order the questions were asked (Fowler, 2014). However, the stepwise logistic regression model assumes no underlying theory (Warner, 2013). This approach seems more exploratory, similar to the exploratory factor analysis (Flora, LaBrish, & Chalmers, 2012). The primary difference seems to be in the dichotomous nature of the data collected. Meeting specific criteria by which any particular approach might be impractical, yet might help the novice researcher in determining the approach that best describes relationships within a given dataset.
That said, the amount of data needed to effectively use the logistic regression might preclude a researcher from using the approach (Field, 2012). As with any other statistical approach, the logistic regression is subject to error if the assumptions of the approach are not met. The dichotomous outcome variables, independent variable outcomes, exhaustive and exclusive variable categories and the correct statement of the model used (Warner, 2013) suggest that Type II errors could be reduced with the appropriate amount of data and the correct model of logistic regression. Logistic regression will not be employed in my current research as the variables in the study are not dichotomous variables and therefore do not meet the assumptions of the approach.
Lastly, I found it interesting that the development of the approaches occurred in much the same way as the step-wise logistic regression was described. It would seem that in search of a good model fit, when existing models fail to describe the underlying model of the data, efforts continue in order to find methods to improve description and analysis of data that ultimately create better fits for data being analyzed. This can only help researchers find new ways to analyze new data and possibly review previous studies in search of deeper meaning.
WRITE THIS ESSAY FOR ME
Tell us about your assignment and we will find the best writer for your paper.
Get Help Now!Introducing our Online Essay Writing Services Agency, where you can confidently place orders for a wide range of academic assignments. Our reputable homework writing company specializes in crafting essays, term papers, research papers, capstone projects, movie reviews, presentations, annotated bibliographies, reaction papers, research proposals, discussions, and various other assignments. Rest assured, our content is guaranteed to be 100% original, as every piece is meticulously written from scratch. Say goodbye to concerns about plagiarism and trust us to deliver authentic and high-quality work.
WRITE MY ESSAY NOW
