Don't let a poor sampling strategy or sampling error ruin your survey
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It is rarely possible to survey everyone in your target population. Too often, the group is too big or isn't concentrated in one area. This is when sampling – choosing a subset of the population – becomes essential. How you choose this subset is crucial to the quality of your data, so be sure that you are making the right choices.
A clear research question, outcomes, and indicators are the best base for an effective survey.
Learn when you should use observations, questionnaires, interviews, and focus group discussions.
Master when and how to best use qualitative vs. quantitative research questions.
Which questions should you ask and, more importantly, which questions you should avoid?
A good survey question asked in the wrong way will just confuse your results.
Other tips and tools to help with writing clear, objective questions.
Write “Mutually Exclusive, Collectively Exhaustive” questions to ensure you get good data.
How do closed-ended questions differ from open-ended questions, and when is each most effective?
How to make sure that your sampling error does not invalidate the results of your survey.
This is a superb data collection guide. It helped me understand how to deal with large and unknown population sizes, a typical problem faced by a lot of my colleagues. This book is a must have for all researchers.
This course is super helpful for our field staff to understand why they collect data, and how they can collect the right information they need.
Your workshop helped our staff to know why they are collecting the data and how it can help improve the lives of people they work with.