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<strong>37</strong> QUESTIONS TO HELP BUYERS OF ONLINE SAMPLES<br />

Data quality and validation<br />

28. For work where you program, host, and deliver the survey data, what<br />

processes do you have in place to reduce or eliminate undesired in-survey<br />

behaviors, such as (a) random responding, (b) illogical or inconsistent<br />

responding, (c) overuse of item non-response (e.g., “Don’t Know”) (d)<br />

inaccurate or inconsistent responding, (e) incomplete responding, or (f)<br />

too rapid survey completion?<br />

<strong>Savanta</strong> utilizes carefully crafted trap <strong>questions</strong> in surveys to ensure that respondents do<br />

not easily recognize them. We have found that incorporating open-ended trap <strong>questions</strong>,<br />

along with other reliable and high-quality <strong>questions</strong> and checks, helps us maintain the<br />

integrity of our survey data.<br />

In order to maintain the overall quality of our projects, we conduct several general quality<br />

checks, including:<br />

• Open-ended question checks: <strong>Savanta</strong> employs automated checks to identify various<br />

issues such as copied and pasted text, gibberish, obscenities, duplicate responses,<br />

and the length of responses. We also have technology in place to translate open-ended<br />

responses for surveys that are not in English, enabling us to run these automated<br />

checks.<br />

• Overuse of item non-response/straight-liners: We employ automated checks to<br />

identify patterns in responses across specific question types. For example, we look for<br />

instances where respondents repeatedly select the same positive or negative end of a<br />

scale (e.g., “Strongly agree” or “Strongly disagree”), or consistently choose a particular<br />

answer option (e.g., always selecting the first or last option in the answer list).<br />

• Speeding check: <strong>Savanta</strong> identifies and removes respondents who rush through a<br />

survey by assessing their completion time compared to the median question page<br />

completion time. If a respondent spends 33% or less of the median completion time<br />

on more than 40% of the survey pages, they are flagged and excluded from the final<br />

dataset.<br />

These quality checks help us ensure the reliability and validity of our survey responses.<br />

savanta.com<br />

14

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