Re: How to approach questionnaire data

Posted by Rich Ulrich on Dec 08, 2017; 12:24am
URL: http://spssx-discussion.165.s1.nabble.com/How-to-approach-questionnaire-data-tp5735243p5735244.html

Definitely, you want to discuss "the number of experiences", 1-15, which is

the number of YES responses - and not talk about a confusing score (going

the wrong direction) that runs from 15 to 30.

Similarly, though not as strongly, it is usually preferable to use the average, not the

sum, for likert-type scoring, since the average lets you refer directly to the

verbal anchors. Name and score the Resilience and Stress variables in the direction

that makes sense for your discussion.

Without knowing the counts (sample, Experiences) and whether the means show

much variance, it is impossible to frame the best presentation.

I would start with ... no, wait, I always start with doing a factor analysis on the items

of any proposed scales, just to make sure that they all contribute in the same direction

as I expected.  (No "bad" items.) And I would do examine a scattergram of the two

averages to see the spread of scores and the full-sample correlation. 

Then I would start with looking at the means of Resil and Stress for each number of

Experiences, that is, ANOVA by Experiences.  If I wanted to form Groups out of the

counts of Experiences, and if Exper appears to be Poisson-distributed, I might use the

boundaries based on the square-root of counts -- (0, 1, 2-4, 5-9, 10-15). 

Finally - 

"My hypothesis is: there is no statistically significant difference in resilience and stress of teachers

with 2 or more adverse experiences."

Difference between whom?  Difference in means according to the count of experiences?

"Is there a correlation between Exper and Stress or Resil, for those with 2+ experiences?"

(You say 2+, but your test with "27" implies 3+.  Less confusion with actual counts, as I said.)

 - That would be a correlation on the selected sub-sample. (I'd probably use sqrt(Exper).)

Your other tests imply, probably, regression analyses.

--

Rich Ulrich

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From: SPSSX(r) Discussion <[hidden email]> on behalf of mandilogan <[hidden email]>
Sent: Thursday, December 7, 2017 6:17:33 PM
To: [hidden email]
Subject: How to approach questionnaire data

 

Disclaimer: Novice user but great at following directions.  Can use SPSS
successfully

For my dissertation "The perceived resilience and stress of K-12 teachers
with adverse childhood experiences", I surveyed teachers to collect yes/no
to 15 questions on adverse childhood experiences, 10 likert questions on
resilience, and 15 likert questions on stress.  Also some basic demographics
(age, years of teaching, urban or rural school setting). 
I used qualtrics to collect this information. 
I summed my 3 different sections (adverse, resilience, stress) in SPSS so
now I have 3 variables with summed scores.
I wanted to look at only the stress and resilience of teachers who reported
2 or more adverse experiences so I sorted it by <= 27 (yes is 1 point, so a
perfect test was 30). 

Here are my questions:
If I am wanting to establish correlations among these 3 variables, is
summarizing them the best thing to do. 
If so, what statistical test should I perform?  My hypothesis is: there is
no statistically significant difference in resilience and stress of teachers
with 2 or more adverse experiences. 

Also, when I want to throw in demographics for comparisons....how do I do
that?



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