"I Don't Know", "I'm Not Sure", "I Don't Want to Answer": A Latent Class Analysis Explaining the Informative Value of Nonresponse Options in an Online Survey on Youth Health

Autor/inn/en	Montagni, Ilaria; Cariou, Tanguy; Tzourio, Christophe; González-Caballero, Juan-Luis
Titel	"I Don't Know", "I'm Not Sure", "I Don't Want to Answer": A Latent Class Analysis Explaining the Informative Value of Nonresponse Options in an Online Survey on Youth Health
Quelle	In: International Journal of Social Research Methodology, 22 (2019) 6, S.651-667 (17 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Montagni, Ilaria) ORCID (Cariou, Tanguy) ORCID (Tzourio, Christophe) ORCID (González-Caballero, Juan-Luis)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1364-5579
DOI	10.1080/13645579.2019.1632026
Schlagwörter	Online Surveys; Response Style (Tests); Multivariate Analysis; Health; College Students; Young Adults; Individual Characteristics; Foreign Countries; Test Items; Gender Differences; Age Differences; Intellectual Disciplines; France + Suchen Sie Ihr Suchwort? Antwortverhalten; Multivariate Analyse; Gesundheit; Collegestudent; Young adult; Junger Erwachsener; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Ausland; Test content; Testaufgabe; Geschlechterkonflikt; Age; Difference; Age difference; Altersunterschied; Geisteswissenschaften; Frankreich
Abstract	Online surveys are increasingly used to investigate health conditions, especially among young people. However, this methodology presents some limitations including item nonresponse concerning sensitive and knowledge-related questions. This study aimed to suggest latent class analysis as the methodology to statistically deal with item nonresponse data, while describing item nonresponse in an online health survey addressed to young people. We used data from an e-cohort study on 8,663 French university students and identified six homogenous groups of students with similar use of nonresponse options ('I don't know', 'I'm not sure', or 'I don't want to answer'): one of High Respondents (64.2%), four of Partial Respondents (34.3%), and one of High Nonrespondents (1.5%). Item nonresponse largely depended on the survey's contextual features (type of nonresponse options, question domains), and was significantly associated with (non)respondents' individual characteristics (gender, age, field of study). We conclude that item nonresponse can be very informative and that latent class analysis is a useful method to identify its patterns in online health surveys. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01