Decide on the Measuring Instruments

After you have determined what you want to measure, it is time to decide on the measuring instruments. From experience, we know that many people give up at this point because they don’t know what the right measurement tools are. Don’t give up though, this is a step you need to get past. You can do some literature research, ask around in your sector or contact knowledgeable institutions. We recommend to start as soon as possible with a measuring instrument that has NOT to be perfect from the start! If possible, make sure there is:

  • sufficient (scientific) substantiation.
  • a ‘feasible’ instrument that takes cost-effectiveness into account.

Under this topic you find some rules of thumb on measuring, the figure gives an overview of measuring instruments.

source: pixabay.com

Rules of Thumb

  • The question drives the method!

     

  • Existing (validated) measuring instruments or tailor-made? The advantage of working with an existing validated measuring instrument is the elimination of the development costs. Setting up a validated measurement instrument yourself requires expertise and resources that are usually too high to be taken on by one organisation. Opting for a non-validated measurement instrument is cheaper, but is a serious compromise on the validity of the measurement.
  • Qualitative or quantitative data? The type of data required depends on the research question and personal preferences of the organisation and stakeholder(s) whom the data are collected for. Some only value ‘hard’ data in the form of quantitative evidence. Others feel that impact can only be fully represented through narrative data. A balance between the two types is the most beneficial.
(click to enlarge image)
  • Baseline measurement? A baseline measurement has the great advantage that the difference between the starting point and later measurements can be evaltuated. Although a zero measurement is recommended, it is not always possible, in which case you can start measuring without it.
  • Keep it simple and integrate as much as possible into existing processes. Measuring can be complicated and time consuming. You can make it easier for yourself by keeping the measurement design simple and by integrating as much as possible into existing processes. This will also promote the sustainability and quality of the data.