#### Transcript Teaching Presentation

For This Class For Next Class Beer, Puke, & Rubber Ducks To do list What is logistic regression? Why would I use this? Fun example Student affairs example Muddies point Sneak peak at next time Factor Analysis Know your audience Number of people who have math or stats related scar tissue? Number of people who have opened SPSS in the past 3 months? Online folks, take the poll via twitter #SAAquantresearch Kirsten R. Brown, Ph.D. Logistic Regression UWL-SAA Teaching Presentation What is logistic regression ? A statistical method for analyzing data where you have one or more independent variables that you want to use to determine an outcome (dependent variable). The outcome is dichotomous. We can predict stuff!!! (And this is fun) Why use logistic regression ? The stuff we want to predict is dichotomous. There are only 2 possible outcomes. The dependent variable is also mutually exclusive, everyone fits into 1 of those 2 outcomes (you can’t be both). We are interested in the odds of a particular outcome. Let’s predict something! Future student conduct case… Research question: What factors predict the likelihood that a student will vomit in the residence hall elevator? Research question & Variables Dependent variable: Vomit ; Yes = 1 /No =0 Independent or control variables: How much did the student drink? Did the student eat dinner? Is the student Male or Female? What is the student’s body weight? Has the student vomited in the elevator before? What is the student’s GPA? How old is the student? Did the student combine alcohol with other drugs? What floor does the student live on? 1. Say hello & get to know your data 2. Clean your data 3. Make variables/ re-code variables (if needed) 4. Check assumptions of logistic regression Sample size , Multicollinerarity , Outliers Identify analysis steps 5. Run preliminary tests Bi-variable correlations between each IDV & DV 6. Go play Select variables based on- previous research, theory, logic, and occasionally data mining Build some models (this is where quant is just as “messy” as qual!) 7. Think about your findings Do they make sense? Do they fit with / extend the literature? What are the odds that: a female 125 lb Fictional findings with a 3.2 GPA who lives on the 4th floor and consumed 10 beers and 2 shots of vodka ate a small dinner at 5 pm has not vomited in the elevator before and did not use other drugs Research Question Round 2: Peer review journal style What factors best predict if an institution will offer Autism Spectrum Disorder (ASD) specific programs? Independent & Control Variables # of students with ASD # of disability resource staff Diagram the Problem ASD Yes Sensory accommodations Diagram the Residence hall accommodations problem Peer mentoring programs Transition programs Type of institution Institution size Model ASD NO But we only have 30 minutes and we are not in a computer lab… so This is the point in class where you would do group work with SPSS The website has 2 videos that show you how to run a logistic regression in SPSS Your handout has screen shots of SPSS output with how to do a write up. Resources @kirsten_brown #SAAquantresearch https://kirstenbrown.org/teaching/uwl SPSS How to Run a Logistic Regression http://youtu.be/uwpjTFox9ko http://youtu.be/Q5CYDK-p8L8 #SAAquantresearch Muddiest point A look ahead at next week Why: Understanding the logic, helps you understand what you are reading before class. Because: We often get lost in the little picture (e.g., SPSS output) and forget about the big picture. Questions? Kirsten R. Brown, Ph.D. * Cartoons are by Larson, Gary (n.d.). The Far Side. http://www.thefarside.com/