We are planning on analysing work place engagement, burnout and retention primarily in startups. We have a large network in South East Asia through which we hope to collect a significant number of responses (minimum target n = 300-500). We want to use an online form based on UWES, CBI [personal and work-related dimensions], some demographic and some employment meta-data.
I am looking for somebody who is willing to volunteer probably around 1-2 hours to provide some guidance around how we should design this survey to minimise biases. Specific questions include:
1. should we just string together these tests or randomise them to avoid biases
2. should we start with the tests and then do demographic information or first demographic information and then tests (any best practices around that)
3. what kind of typical blind spots do people have when designing surveys that could cause misleading results.
We don't have a background in social sciences but believe that due to our access to "real" participants the results could be very interesting. We do plan on publishing the results as well as our analysis on them so I want to make sure that we don't make any glaring methodological mistakes up front. Of course, if you want to get more involved, help with the outcome analysis, publishing of results etc. we'd be more than happy to list you as co-author as well.
Discussions could either be via a Skype call or via written communication (e.g. email).
Thank you!
well to avoid common method variance and sampling leniency, i advise that you split the data collection exercise into two segment (longitudinal). First collect data on respondents demographic characteristics and the independent variable(s)... the second segment of the data collection exercise will the focus primarily on the dependent variables and if any, mediating or moderating variables.
I would be interest to help in this study if the need be.
Many thanks
Consult the attached please...
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- Mathematical Sciences
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- Survey Design