Measuring health in a longitudinal education study.

Autor/inn/en	Carstensen, Johann; Gottburgsen, Anja; Jungbauer-Gans, Monika
Titel	Measuring health in a longitudinal education study.
Quelle	Aus: Blossfeld, Hans-Peter (Hrsg.); Maurice, Jutta von (Hrsg.); Bayer, Michael (Hrsg.); Skopek, Jan (Hrsg.): Methodological issues of longitudinal surveys. The example of the national educational panel study. Wiesbaden: Springer VS (2016) S. 213-232 PDF als Volltext Link als defekt meldenVerfügbarkeit
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-658-11992-8; 978-3-658-11994-2
DOI	10.1007/978-3-658-11994-2_13
Schlagwörter	Längsschnittuntersuchung; Panel; Essstörung; Körpergröße; Gesundheit; Datengewinnung; Messung; Gewicht; Qualität; NEPS (National Educational Panel Study)
Abstract	When analyzing health in an educational study, there are some methodological aspects and problems that must be considered. In this paper, we address questions of data quality in the measurement of health outcomes. It is possible that data quality can be biased by social desirability since questions on health (e. g., on eating disorders or body height and weight) are fairly sensitive items, and accordingly, the impact of the privacy of the setting increases with the sensitivity of the questions. Therefore, we expect mode effects resulting from the way the data are collected. Following a methodological discussion of these issues, empirical analyses are presented. We compare the measuring of body height, weight, BMI, and the likelihood of having an eating disorder in the NEPS with data from reference studies (KiGGS and GEDA from 2010) carried out by the Robert Koch Institute. To conduct the analysis of BMI, we use the Kindergarten cohort, the ninth graders, and the adults' cohort. The eating disorder scale is compared for ninth graders only. The results show some differences between NEPS data and the reference data, which point towards an influence of the interview situation. In about half of our comparisons, no significant deviations between the datasets can be found. A short section describes some further thoughts on endogeneity problems. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2020/3