Quantitative Research & Data Analysis - Nominal, Ordinal, Interval & Ratio Data: Simple Explanation With Examples

🎓 1-ON-1 STATS HELP [FREE CONSULTATION]: https://gradcoach.com/?utm_source=YT&utm_campaign=5Yh-9xdJzAs 🧰 FREE RESEARCH TOOLKIT: https://gradcoach.com/toolkit/?utm_source=YT&utm_campaign=5Yh-9xdJzAs 📚 FREE EVENTS & WORKSHOPS: https://gradcoach.com/events/?utm_source=YT&utm_campaign=5Yh-9xdJzAs Learn about nominal, ordinal, interval and ratio data, also known as the four levels of measurement in statistics. We explain these levels of data in simple terms, starting from the basics of categorical and numerical data types. Overview: Nominal, Ordinal, Interval & Ratio-Level Data 00:00 Introduction & overview 00:48 The basics: categorical and numerical data 01:06 Examples of categorical data 01:35 Examples of numerical data 02:19 Why do the levels of measurement matter? 03:01 Level 1: Nominal data 03:12 Examples of nominal data 04:30 Level 2: Ordinal data 04:45 Examples of ordinal data 05:39 Level 3: Interval data 06:05 Examples of interval data 07:34 Level 4: Ratio data 07:59 Examples of ratio data 09:03 Recap and summary 10:11 Outro Recommended Resources: Levels of measurement 101 (blog post) - https://gradcoach.com/nominal-ordinal-interval-ratio/ Quantitative data analysis 101 - https://youtu.be/EUeQRE5UJpg The 5 biggest quant analysis mistakes - https://youtu.be/WTJsqvQ7gr4 How to write the results chapter for a quant study - https://youtu.be/9WFhfQAP6R4 To learn more about nominal, ordinal, interval and ratio data, the four levels of measurement, check out the Grad Coach blog at https://gradcoach.com/blog/ For 1-on-1 help with your statistical analysis or any other aspect of your research project, check out Grad Coach’s private coaching service at https://gradcoach.com/dissertation-coaching/.