Assessing the quality of participants’ responses is a concern for researchers using survey designs. This concern is particularly important for online data collection. Respondents often fail to read questions, follow instructions, and provide careless answers. These inattentive responses may stem from a minimization of cognitive effort, and despite literature showing the damaging effects of these responses, this methodological aspect is often ignored. For example, it can lead to biased estimates, attenuation of relationships, and psychometric invalidity. In this workshop, we will explore what data-quality controls are, why you should care about them, and how to implement them. We will cover reverse scaling, consistency, instructional manipulation checks, response patterns, and timed responses with time for brainstorming of additional alternatives.
You can check out the google document here: Google Doc.
The GitHub folder with all the data, slides, etc. here: GitHub Folder. This folder is also linked to the OSF page.
Check out the RStudio Cloud workspace: here.
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