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Data Analysis Question

  • 24-06-2015 6:56pm
    #1
    Registered Users Posts: 50 ✭✭


    Hello :)

    I'm not sure if this is the right place to post this question so apologies if it seems off topic!

    I'm currently doing an undergraduate research project and have done an online survey through SurveyMonkey. My survey was online for two weeks and is now deactivated as I've to start analysis, SPSS, etc.

    I received 146 responses, however the number that actually completed the whole survey is a bit lower, fluctuating between 129 and 139, depending on the question. I didn't make any of the questions un-skipable, as it is a health-related survey targeting a vulnerable group and I didn't want participants to feel they had to answer questions they were uncomfortable with.

    I am just wondering now what this means for my data analysis. I know some of it will be entered as "missing data", however I am wondering what I should count as my final response rate. Is there a certain percentage of the survey which should be completed to count it as a response? (Some people only answered one or two questions before exiting the survey).

    Thanks in advance :)


Comments

  • Registered Users, Registered Users 2 Posts: 3,483 ✭✭✭Ostrom


    Depending on your analysis you will need to choose a deletion approach - listwise or pairwise. The difference is whether a missing piece of data qualifies a case to be dropped from the dataset for a given procedure, any good introductory stats book should have a better description.


  • Moderators, Category Moderators, Science, Health & Environment Moderators, Society & Culture Moderators Posts: 47,335 CMod ✭✭✭✭Black Swan


    I'm not sure if this is the right place to post this question so apologies if it seems off topic!
    You are most welcome to ask survey data analysis questions in Researcher forum.

    You may find Treatment of Missing Data (David Howell, 2012) useful to your analysis.


  • Registered Users Posts: 50 ✭✭Miss Brightside


    Thank you both for the advice!
    Black Swan wrote: »
    You may find Treatment of Missing Data (David Howell, 2012) useful to your analysis.

    I found this really helpful, thanks so much for the link.


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