ArticleSocial science computer review2021
Using Paradata to Evaluate Youth Participation in a Digital Diary Study.
Article in Social science computer review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
We analyze recruitment, access and longitudinal response paradata from a year-long intensive longitudinal study (mDiary) that used a mobile-optimized web app to administer 25 bi-weekly diaries to youth recruited from a birth cohort study. Analyses investigate which aspects of teen recruitment experiences are associated with enrollment and longitudinal response patterns; whether compliance behavior of teens who require multiple invitations to enroll differs from that of teens who enroll on the first invitation; and what personal and social circumstances are associated with different longitudinal compliance patterns. Latent Class Analysis (LCA) is used to derive longitudinal compliance classes.
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