I think you’d like a more comprehensive response than this, but hopefully my very generalised recollection of survey basics will at least help others answer more specifically.
Survey Questions Priming, or the avoidance of it, is as you might be aware essential to drafting an unbiased survey. Consider question placement, wording, phrasing, and most importantly selection when drafting each enquiry, and do the same for the answers. Key is to ask oneself whether a question and/or its composite answers will yield credible information, and the value of that information in answering the question to which the survey was orginally purposed.
Survey Sample The aim is to have as many respondents as possible answer the survey as truthfully as possible. If feasible, give the survey to everyone. Of course, the manner in which one does so might affect answer credibility. If infeasible, cleverly randomise.
The first logistical thought that comes to mind: You pretend the survey is for an experiment on efficacy, and as you respect the opinions of your fellow organisation members you’d like their responses as well as honest data on the present state of things efficient. Promise anonymity, actually make it your own experiment a bit (so you’re only equivocating), and disseminate the survey at a time members are most likely to respond. Maybe afterwards you may disclose the survey’s full purpose.
Drawbacks to the above are numerous, but to list just a few: with actual anonymity randomisation cannot be tested ex post facto; respondents may be the least or most efficient members of the population; truthfulness and number of respondents is subject to fluctuation due to their valuation of your person.
I genuinely request you let me know if this helps at all (I assume not, but decided to err in favour of pedantry).
I think you’d like a more comprehensive response than this, but hopefully my very generalised recollection of survey basics will at least help others answer more specifically.
Survey Questions
Priming, or the avoidance of it, is as you might be aware essential to drafting an unbiased survey. Consider question placement, wording, phrasing, and most importantly selection when drafting each enquiry, and do the same for the answers.
Key is to ask oneself whether a question and/or its composite answers will yield credible information, and the value of that information in answering the question to which the survey was orginally purposed.
Survey Sample
The aim is to have as many respondents as possible answer the survey as truthfully as possible. If feasible, give the survey to everyone. Of course, the manner in which one does so might affect answer credibility. If infeasible, cleverly randomise.
The first logistical thought that comes to mind:
You pretend the survey is for an experiment on efficacy, and as you respect the opinions of your fellow organisation members you’d like their responses as well as honest data on the present state of things efficient. Promise anonymity, actually make it your own experiment a bit (so you’re only equivocating), and disseminate the survey at a time members are most likely to respond. Maybe afterwards you may disclose the survey’s full purpose.
Drawbacks to the above are numerous, but to list just a few: with actual anonymity randomisation cannot be tested ex post facto; respondents may be the least or most efficient members of the population; truthfulness and number of respondents is subject to fluctuation due to their valuation of your person.
I genuinely request you let me know if this helps at all (I assume not, but decided to err in favour of pedantry).