Attrition and selectivity of the NEPS starting cohorts. An overview of the past 8 years.

Autor/inn/en	Zinn, Sabine; Würbach, Ariane; Steinhauer, Hans Walter; Hammon, Angelina
Titel	Attrition and selectivity of the NEPS starting cohorts. An overview of the past 8 years.
Quelle	Bamberg: Leibniz-Institut für Bildungsverläufe (2018), 40 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	NEPS Survey paper. 34
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; Monographie
DOI	10.5157/NEPS:SP34:1.0
Schlagwörter	Datenerhebung; Panel; Populationsdynamik; Statistische Analyse; Datenanalyse; Abbruch; Daten; Datenerhebung; Panel; Abbruchquote; Populationsdynamik; Datenanalyse; Teilnehmerschwund; Lebensspanne; Abbruch; Daten; Selektion; Statistische Analyse; Studie; Studie; NEPS (National Educational Panel Study)
Abstract	This article documents the number of target persons participating in the panel surveys of the National Educational Panel Study (NEPS) as well as the number of respondents who temporarily dropout and of those leaving the panel (attrition). NEPS comprises panel surveys with six mutually exclusive starting cohorts covering the complete life span. Sample sizes, numbers of participants and temporary as well as final dropouts and participation rates are reported in detail for each wave and for subsamples, if applicable. Sample particularities, such as the conversion of temporary dropouts into final ones, are elaborated on. All figures presented are derived from the corresponding Scientific Use Files (SUFs) published by February 1, 2018. Selectivity due to attrition (i.e., final dropouts) is studied. For this purpose, we examine how attrition distorts the NEPS samples with respect to relevant design variables (such as stratification criteria) and panel member characteristics (like sex and birth year). In detail, we study the panel status of each panel member, that is being part of the panel or having dropped out finally, along all of the panel waves with respect to starting cohort and population specific characteristics. We conclude this article with some recommendations for dealing with the detected selection bias in statistical analyses. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2021/3