Analyzing Likert Scales as Interval Data in SPSS

Learn how to analyze Likert Scales as Interval data in SPSS.
This video provides a brief review of measurement scales, defines interval data and identifies the statistics that should be reported. It ends with an SPSS tutorial demonstrating how to calculate the mean, median, mode, and frequencies.
Please download the following SPSS file to follow along in the video: drive.google.com/file/d/1Vkmv...
When conducting marketing research using survey data, interval data are the survey questions that provide answers that are categorical, have a hierarchical order AND categories are grouped into equal intervals. Questions such as age, income, and how often have you visited (with categories that are at equal intervals) all typically create interval data. Likert scales are also considered interval data. Although it is debated amongst researchers whether Likert scales are ordinal or interval, marketers tend to fall in the interval camp.
Interval data is the second most robust measurement scale and unlike ratio variables that can be transformed into all types of measurement scales, interval variables can only be transformed into ordinal and nominal scales. See my Data Prepping playlist for more information on how to transform variables to learn more.
To analyze interval variables, you will need to report the mean, median, mode, frequency counts and frequency percent's. Watch more to find out how.
TIMESTAMPS
00:00 Analyzing Interval Data in SPSS
00:12 Very brief review of measurement scales
01:24 What is Interval Data?
03:41 What Statistics should you report for Interval Data?
04:10 How to Analyze Interval Data is SPSS
06:05 Identifying Interval Variables
10:53 Descriptive Statistics
12:36 SPSS Output

[@Thematterofliving]

Thanks a lot your videos are so helpful for analyzing data with SPSS