Posted by
MLIves on
Dec 11, 2017; 3:25pm
URL: http://spssx-discussion.165.s1.nabble.com/How-to-approach-questionnaire-data-tp5735243p5735277.html
I was trying to figure out how a 15 item list where each endorsement is 1 resulted in a 'perfect test' being 30.
Based on Rich's response it seems you've coded 1=Yes and 2=No.
To do what Rich suggest, recode No=2 to No=0 so that your sum is the total number of experiences and the mean of each item (x100) is the % endorsing that item.
Summing Likert scales comes to a completely different result if there are any missing values for an individual.
Means are only appropriate if the items "hang together" well. It is highly unlikely that the stress items have high reliability (e.g., you wake up on the wrong side of the bed, your pet has been sick on the rug, the car won't start are all stressful but have none have anything to do with the others). And missing values will be an issue here too.
Melissa
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From: SPSSX(r) Discussion <
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Sent: Thursday, December 7, 2017 7:24 PM
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Subject: Re: [SPSSX-L] How to approach questionnaire data
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 <
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Sent: Thursday, December 7, 2017 6:17:33 PM
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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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