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Online questionnaire about Job Satisfaction

  • 18-03-2018 11:31AM
    #1
    Registered Users, Registered Users 2 Posts: 341 ✭✭


    Hi everyone,

    I am doing a Business Management course and as part of it I am doing a dissertation on Job Satisfaction and as part of this I need your thoughts and opinions.
    I am not looking for your name, your employer's name or ex-employer's name or any such details!
    Its a completely anonymous questionnaire so it would help me hugely if people could take a few minutes to give their thoughts.
    The research I gather will form part of the dissertation.
    Its all multiple choice so its pretty handy to do on PC or mobile and should only take 5 minutes to complete.

    No names or personal details are required so it is completely anonymous.
    The link is https://www.surveymonkey.com/r/FVYBK5D

    Thanks for your time.

    Jam83


Comments

  • Posts: 0 CMod ✭✭✭✭ [Deleted User]


    Done.

    You are welcome to survey in our Researcher forum. If I get time, I will try to point out your survey to others. Maybe they will complete it too?

    I am curious how you will analyse your data. It appears to be at the nominal data level (i.e., either/or questions). Will you use chi-square statistics to establish significant differences, and Pearson Phi for correlations? Such data is nonparametric, and may have some substantial limitations as to representativeness and generalisability of results. Of course, this would agree with your online, nonrandom convenience sample collection method evidenced here.


  • Registered Users, Registered Users 2 Posts: 341 ✭✭jam83


    Black Swan wrote: »
    Done.

    You are welcome to survey in our Researcher forum. If I get time, I will try to point out your survey to others. Maybe they will complete it too?

    I am curious how you will analyse your data. It appears to be at the nominal data level (i.e., either/or questions). Will you use chi-square statistics to establish significant differences, and Pearson Phi for correlations? Such data is nonparametric, and may have some substantial limitations as to representativeness and generalisability of results. Of course, this would agree with your online, nonrandom convenience sample collection method evidenced here.

    Thanks It would be great if others can complete it, thanks for sharing it.
    I am reading some methodology for analysing it so have not determined best fit yet.


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