Social research with Logistic Regression in SPSS: A Complete Guide for the Social Sciences
The only course on Udemy that shows you how to perform, interpret and visualize logistic regression in SPSS, using a real world example, using the quantitative research process. Follow along with me as I talk you through everything you need to know to become confident in using regression analysis in your quantitative research report, dissertation or thesis. Perfect for those studying social science subjects or want to increase their statistical confidence and literacy.
What’s in the course?
Learn what logistic regression is, why it is so useful and why you should consider using it
Start to think critically about research questions, hypothesis, finding a dataset and thinking about variables. Follow along with an over-the-shoulder example
Learn how to perform a simple logistic regression in SPSS and how to interpret and visualize the findings
Learn how to perform multiple logistic regression in SPSS and make statistical conclusions
Don't fall for other courses that are over-technical, math's based and heavy on statistics! This course cuts all that out and explains in a way that is easy to understand!
On completion of the course you will fully understand:
What logistic regression analysis is and what is used for
Learn how to formulate a research question and hypothesis
How to independently identify what data sources and variables are suitable for regression analysis
Learn how to import and clean your data in SPSS
Build your own logistic regression model in SPSS
How to interpret the results of a regression output
Interpret and visualize the findings from your model into your research report
increase your confidence in using quantitative data
Learn this with a real world social science example, you can follow along with. This is the only course on Udemy that shows you from start to finish how regression analysis can be used in your research report from theory to practice.
Why take this course?
Logistics regression is a statistical model that is used to predict the probability of a certain outcome or event occurring, when that outcome or event is binary (such as pass/fail, true/false, healthy/sick). Logistic regression is used to describe the likelihood of something happening. Social researchers, social science students and academics are increasingly turning to quantitative methods such as logistic regression in their research because, given the right dataset, gives the opportunity to statistically quantify real world social issues.
Regression analysis is used to produce headlines like this:
Black people ‘40 times more likely’ to be stopped and searched in UK
Schools in poorer areas 4x more likely to have Higher grades downgraded
Teens who use e-cigarettes up to 5x time more likely to start smoking
Prospective employers are increasingly looking for students who are experienced in the social sciences but also are confident in data analysis techniques, like logistic regression. The Nuffield Foundation in the UK has highlighted the shortage of quantitatively-skilled social science students in the labour market and has since offered millions of pounds in funding to UK universities in a bid to increase knowledge in quantitative research methods.
This course is aimed at students, professionals and beginners in the field who want to begin using the power of logistics regression with SPSS into their study or work. Please don't be scared about statistics, there is NO math's involved in this course. Prior experience of some other quantitative methods and some use of SPSS would be useful, but it is definitely not essential. A passion for data analysis and research will make the process much more enjoyable! Good level of English and access to SPSS is required.