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n = 242 247, the number of missing answers varied between 23 28 for the different items in the 10 item scale.
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For the study-specific questions, the missing number of answers varied from 0 (4 questions) to 100 (the open-answer question about profession), with a median of five missing answers.
The N in the four samples varied for each question due to missing answers on the variables (0%-11%).
* The N in the four samples varied for each question due to missing answers on the variables (0.8%-3.3 0.8%-3.3
The proportion of missing answers to the core items among the 1,324 respondents varied from 0.8% (item 4) to 4.2% (item 25) (see Additional file 4).
However, owing to some missing answers to certain survey questions, the denominator used in percentage computation varies according to the responses obtained for the survey question.
Owing to some missing answers to certain survey questions, the denominator used in percentage computation varies according to the responses obtained for each survey question.
However, in this paper, we show several problems of the LCA-based approaches, including meaningless answers, incomplete answers, duplicated answers, missing answers, and schema-dependent answers.
**Two missing answers.
Missing answers not shown.
Questionnaires with missing answers were excluded.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com