turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- How do I Analyze Likert Scale Data for differences...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Oct 13, 2017 9:27 AM
(664 views)

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Oct 13, 2017 9:39 AM
(974 views)

Solution

Hi @LucasOpt,

Your approach will depend on what level of measurement you consider your 1-5 ratings to be. If you consider them ordinal measurements, as some regard Likert scales, you will be in the domain of contingency analysis and a chi-square test of independence. If you consider the measurements to be interval scaled (in JMP's terminology, continuous measurements), you're in the domain of tests of means, and specifically here, an independent-samples (aka two-sample) t-test. To carry out either of these analyses (and my preference is for the latter) you'll be using Analyze > Fit Y by X. To see how to perform these analyses I would recommend looking through the materials in the JMP Learning Library in the section "Basic Inference - Proportions and Means." You will find guides and videos for each of these analyses and will see how JMP needs the data to be arranged.

I hope this helps!

1 REPLY

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Oct 13, 2017 9:39 AM
(975 views)

Hi @LucasOpt,

Your approach will depend on what level of measurement you consider your 1-5 ratings to be. If you consider them ordinal measurements, as some regard Likert scales, you will be in the domain of contingency analysis and a chi-square test of independence. If you consider the measurements to be interval scaled (in JMP's terminology, continuous measurements), you're in the domain of tests of means, and specifically here, an independent-samples (aka two-sample) t-test. To carry out either of these analyses (and my preference is for the latter) you'll be using Analyze > Fit Y by X. To see how to perform these analyses I would recommend looking through the materials in the JMP Learning Library in the section "Basic Inference - Proportions and Means." You will find guides and videos for each of these analyses and will see how JMP needs the data to be arranged.

I hope this helps!