Finding respondents who don't belong in the survey

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il y a 2 mois 4 jours #169709 par vadikcoma
vadikcoma a créé le sujet : Finding respondents who don't belong in the survey
Regardless of how perfectly a screener or questionnaire is designed, or how perfectly the recruiting was done, almost every research study will have one respondent, or maybe even a few, who don't belong in the sample. These people may have lied when they answered the screener questions or maybe even guessed correctly even though they knew their answers were bogus. That's a fact of research and it happens in almost every study. That's cool. Some people like to sneak into things so they can get paid, but there is a way to weed these people out of the sample.

If a respondent varies too much from the rest of the sample, the person is eliminated. You can compute the score yourself on a spreadsheet.

Here are the steps to do it:

Here are the steps:

1) Calculate the standard deviation for each respondent's answers.

2) Calculate z-scores for all the respondents' standard deviation scores.

3) Eliminate any respondent whose standard deviation z-score is greater than ±1.5. A person with a z-score that high does not belong in the sample.

Is there a way to automate such process with LimeSurvey and somehow highlight such respondents?

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il y a 2 mois 4 jours #169716 par tpartner
tpartner a répondu au sujet : Finding respondents who don't belong in the survey
No, LimeSurvey is predominantly a data-collection tool. Although there are statistics available, they are quite basic.

Cheers,
Tony Partner
Solutions, code and workarounds presented in these forums are given without any warranty, implied or otherwise.
Les utilisateur(s) suivant ont remercié: vadikcoma

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il y a 2 mois 4 jours #169721 par vadikcoma
vadikcoma a répondu au sujet : Finding respondents who don't belong in the survey
Thank you! Understood

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