#TYPES OF VALIDITY AND RELIABILITY WINDOWS#

Given the wide range of options in conducting a survey, it is imperative for the consumer/reader of survey findings to understand the potential for bias as well as the strategies and techniques used for reducing bias, so that appropriate conclusions can be drawn from the data. The term вЂњsurveyвЂќ reflects a range of research objectives вЂ“ target populations and sampling frames, recruitment strategies, survey instrument designs, survey administration methods, data processing, and statistical adjustment вЂ“to ensure a high-quality survey process and outcome. In other words, data that is unreliable, irreproducible, or invalid, leading to the wrong conclusions and actions.

Conversely, bad surveys produce flawed data.

#TYPES OF VALIDITY AND RELIABILITY WINDOWS#

Good surveys produce accurate data and critical information, providing salient windows into the core of the topic under exploration. What this implies is that there are good surveys, and there are bad surveys. Particularly when stakes are high, we need to be sure that we are gathering the right data. Have you found yourself in a discussion about the вЂњreliabilityвЂќ or вЂњvalidityвЂќ of data that comes out of surveys such as course evaluations or employee engagement surveys? Why does the reliability or validity of survey data matter?ДЇlawed data can lead to wrong conclusions. We stand behind many causes that enrich our communities вЂ“ near and far.

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Types of validity and reliability