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From: | ftr |
Subject: | Re: multiple response set |
Date: | Thu, 08 Jan 2015 17:54:22 +0100 |
User-agent: | Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Thunderbird/31.3.0 |
In fact the Multiple response procedure is particular useful because
stats programs are based on the statistical independence of
observations whereas in survey research you often have multiple
response sets when the same respondent has more than one answer to a
question, i.e. the cases are statistically dependent. This is why I vote for the implementation of the mult response proc , for practical reasons and to increase the attractiveness of PSPP for larger audiences . Did you already work with multiple response questions ? Take the example of drinks and age. Usually you have one answer for the question: what do you drink ? But in reality you drink Coke as well as water, beer, but not soda. So the same person has several answers for the same question. Now differentiate that by 3 age groups: The table in MULT RESPONSE can show how many times the same cases (=persons) in the low, the intermediate, the high age group drink drink Coke AS WELL AS the another drink beer, either in percentage of cases (% of persons in the low age group drink Coke, % beer, etc.) or how many beer drinks are in the this age group. Better than the Youtube video the text of John Hall (see p.7) can provide you an idea. http://surveyresearch.weebly.com/uploads/2/9/9/8/2998485/3.3.2a1__spss_15___first_exercise_in_multiple_response.pdf - ftr On 08/01/2015 17:21, Alan Mead wrote:
I've used SPSS to analyze multiple response data for years (decades, actually) but never used MULT RESPONSE. I was curious what I was missing, so I watched this video: https://www.youtube.com/watch?v=-toBCDscCwQ and I'm still a bit confused. You get the same data by running frequencies on the four variables independently, right? |
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