Analyzing Nominal Data is SPSS

Learn how to analyze Nominal data in SPSS. This video provides a brief review of measurement scales, defines nominal data and identifies the statistics that should be reported. It ends with an SPSS tutorial demonstrating how to calculate the mode, frequencies, charts and how to upload the charts to a PowerPoint presentation.
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, nominal data are the survey questions that provide answers that are categorical with no hierarchical order. Questions such as have you visited (yes/no), gender, ethnicity all typically create nominal data.
Nominal data is the least robust measurement scale and unlike ratio, nominal and ordinal variable, it cannot be transformed into new variables that may be ratio, interval, or interval. And that is ok, some questions can't be asked in a format that has anything but categorical responses that are not hierarchical. Sometimes choosing nominal data is the best option for a survey. For example, if you only want to survey individuals who are over the age of 65, it is easier to ask them if they are over the age of 65 (yes/no) than to ask them the year they were born, and to transform it into an age variable, then to transform it into a nominal variable. Regardless of why you chose a nominal variable, be sure to analyze the mode, frequency counts and frequency percent's.
TIMESTAMPS
00:00 Analyzing Nominal Data in SPSS
00:14 Very brief review of measurement scales
00:45 What is Nominal Data?
01:45 What Statistics should you report for Nominal Data?
02:22 How to Analyze Nominal Data is SPSS
02:45 Identifying Nominal Variables
06:00 Descriptive Statistics
06:20 Frequencies
08:27 SPSS Output
9:30 Editing Charts in SPSS
13:55 Uploading Charts to presentation software