Description
Logistic Regression in SPSS: A Complete Guide, training course Full Logistic regression in SPSS is published by Udemy Academy. The only Udemy course that shows you how to regression Logistics Interpret and visualize in SPSS, using a real example, using a quantitative research process. Follow along to learn everything you need to know about using regression analysis in your quantitative research report, dissertation, or thesis. This course is for those studying social science subjects or who want to increase their confidence and statistical literacy. Logistic regression is a statistical model used to predict the probability of a particular outcome or event occurring when that outcome or event is binary.
Logistic regression is used to describe the probability of something happening. Social researchers, social science students, and academics have increasingly turned to quantitative methods such as logistic regression in their research because, with appropriate data sets, it provides the opportunity to statistically quantify real social issues. Prospective employers are increasingly looking for students who have experience in the social sciences but are also familiar with data analysis techniques such as logistic regression. The Nuffield Foundation in the UK has highlighted the lack of quantitatively skilled social science students in the labor market and has since offered millions of pounds of funding to UK universities to increase knowledge of quantitative research methods.
What you will learn
- Step by step guide on how to use regression Logistics In a research project or thesis
- You can see why employers want students who can use data analysis techniques like regression.
- Understand that logistic regression is easy to understand and not based on statistics or math
- Identify opportunities when examining data sets to use logistic regression
- Learn how to formulate a research question and hypothesis
- Learn how to import, clean, and prepare your data in SPSS
- Build your own logistic regression model in SPSS
- Interpret and visualize the findings of your model in your research report
- Understand odds ratios and p-values
- Learn how to test a hypothesis statistically
Who is this course suitable for?
- University graduate students
- Final year university students
- Those who want to increase their level of statistical literacy
- Those interested in using quantitative research methods in social science research
Specifications of the course Logistic Regression in SPSS: A Complete Guide
- Publisher: Udemy
- teacher : Zvi Oduba
- English language
- Education level: introductory
- Number of courses: 59
- Training duration: 4 hours and 24 minutes
Chapters of Logistic Regression in SPSS: A Complete Guide
Course prerequisites
- 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
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.43 GB
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