@incollection{AssmannSteinhauerWuerbachetal., author = {Aßmann, Christian and Steinhauer, Hans Walter and W{\"u}rbach, Ariane and Zinn, Sabine and Hammon, Angelina and Kiesl, Hans and Rohwer, G{\"o}tz and R{\"a}ssler, Susanne and Blossfeld, Hans-Peter}, title = {Sampling Designs of the National Educational Panel Study: Setup and Panel Development}, series = {Education as a Lifelong Process}, booktitle = {Education as a Lifelong Process}, editor = {Blossfeld, Hans-Peter and Roßbach, Hans-G{\"u}nther}, publisher = {Springer Fachmedien Wiesbaden}, address = {Wiesbaden}, isbn = {978-3-658-23161-3}, doi = {10.1007/978-3-658-23162-0_3}, pages = {35 -- 55}, abstract = {The German National Educational Panel Study (NEPS) was set up to provide an empirical basis for longitudinal analyses of individuals' educational careers and competencies and how they unfold over the life course in relation to family, formal educational institutions, and private life. Educational developments and decisions over the life span are being tracked in six starting cohorts as a foundation for characterizing and analyzing educational processes. These six starting cohorts include newborns, Kindergarten children, secondary school children (5th and 9th grade), first-year undergraduate students, and adults. Because access to the target population in several starting cohorts was gained via educational institutions such as Kindergartens and schools, multistage sampling approaches were implemented that reflect the clustered structure of the target populations. Samples in individual contexts, such as those in the adult and newborn cohorts, were established via register-based stratified cluster approaches. This chapter briefly reviews the designs of the implemented sampling strategies for each established starting cohort and provides information on the levels of attrition in the panel development.}, language = {en} } @incollection{Kiesl, author = {Kiesl, Hans}, title = {Gewichtung}, series = {Handbuch Methoden der empirischen Sozialforschung}, volume = {29}, booktitle = {Handbuch Methoden der empirischen Sozialforschung}, editor = {Baur, Nina and Blasius, J{\"o}rg}, publisher = {Springer Fachmedien}, address = {Wiesbaden}, isbn = {978-3-658-21307-7}, doi = {10.1007/978-3-658-21308-4_28}, pages = {405 -- 412}, abstract = {Ziel einer Analyse quantitativer Daten ist die Verallgemeinerung der Stichprobenergebnisse auf die interessierende Grundgesamtheit (H{\"a}der/H{\"a}der, Kapitel 22 in diesem Band). Tats{\"a}chlich unterscheiden sich Stichproben in bestimmter Hinsicht aber fast immer von der Grundgesamtheit; sei es durch ein geplantes „Oversampling" einer bestimmten Teilpopulation (die Genauigkeit einer Sch{\"a}tzung wird im Wesentlichen von der Fallzahl in der Stichprobe bestimmt, weshalb seltene Teilpopulationen, f{\"u}r die valide Sch{\"a}tzungen m{\"o}glich sein sollen, mit einem gr{\"o}ßeren Auswahlsatz in die Erhebung aufgenommen werden) oder durch selektiven Nonresponse (Engel/Schmidt, Kapitel 27 in diesem Band). Viele Befragungen weisen etwa einen so genannten „Mittelschichtsbias" auf; Personen mit mittlerem bis gehobenem Bildungsniveau (gemessen durch den h{\"o}chsten Schulabschluss) zeigen sich am {\"o}ftesten bereit, an Umfragen teilzunehmen, sie sind in den Erhebungsdaten daher {\"u}berrepr{\"a}sentiert.}, language = {de} } @article{DrechslerKieslMeinfelderetal., author = {Drechsler, J{\"o}rg and Kiesl, Hans and Meinfelder, Florian and Raghunathan, Trivellore E. and Rubin, Donald B. and Schenker, Nathaniel and Zell, Elizabeth R.}, title = {In Memory of Professor Susanne R{\"a}ssler}, series = {Journal of Official Statistics}, volume = {35}, journal = {Journal of Official Statistics}, number = {1}, publisher = {de Gruyter}, doi = {10.2478/jos-2019-0013}, pages = {285 -- 286}, language = {en} }