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Logistic Regression in SPSS for Social Science Research

 

Logistic Regression in SPSS for Social Science Research

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Logistic Regression in SPSS for Social Science Research Complete step by step guide on logistic regression in SPSS including interpretation and visualization New

What you'll learn

  • Complete step-by-step guide on how to use logistic regression in your research project, dissertation or thesis
  • See why employers are calling out for students who can use data analysis techniques like regression
  • 👍Understand what logistic regression is, in a way that is easy to understand and not based on statistics or maths
  • 🔎Identify opportunities when looking at datasets to use logistics regression
  • 🧠Learn how to formulate a research question and a hypothesis
  • 👨🏻‍💻Learn how to import, clean and prepare your data in SPSS
  • 📊Build your own logistic regression model in SPSS
  • 📄Interpret and visualise the findings from your model into your research report
  • ✏️Follow along with an over-the-shoulder example
  • 💡Understand odds ratios and p-values
  • 📝Learn how to statistically test hypothesis

Requirements

  • Access to SPSS
  • Good level of written and spoken English
  • Have a keen interest for data analysis and social research
  • Basic knowledge of some statistical concepts would be useful
  • Prior experience of some other quantitative methods and some use of SPSS would be useful

Description

The 16-hour SPSS Pro: Analysis, Interpretation, and Write-Up

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!

Course outcomes

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.

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