How many items are there, and how many respondents?
Have they almost all agreed/disagreed with every (uni-polar) statement.
Has one or more persons filled out the battery several times?
Looks like you need more contentious items or, perhaps better, a set of bi-polar choices (in semantic differential format).
John F Hall MA (Cantab) Dip Ed (Dunelm)
[Retired academic survey researcher]
Email: [hidden email]
Website: Journeys in Survey Research
Course: Survey Analysis Workshop (SPSS)
Research: Subjective Social Indicators (Quality of Life)
From: SPSSX(r) Discussion <[hidden email]> On Behalf Of Mark Webb
Sent: 20 February 2019 14:56
To: [hidden email]
Subject: Low variability issues
I have a set of agreement statements designed to measure staff engagement. The data has very low variability between variables (statements) and within respondents. All statements very negatively skewed. Each statement far from normally distributed. Most claims to be happy with all statements. If i run a factor analysis there is basically one factor with ev gt 1. CFA in Rs lavaan also struggles. I tried a log10 transformation to help the normality issue with little improvement.
I think the underlying issue is that the statements are not "contentious" enough.
What tests are available to analyse non-normal, low variability data?
Or is the only solution to measure issues in such a way as to get more variability and more normal data distributions?
Any comments on "boring" low variability data and poor normality welcome.
Thank you in advance.
Mark
--
Mark Webb +27 21 786 1124 +27 072 199 1000
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