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TitelAnalyzing organizational growth in repeated cross-sectional designs using multilevel structural equation modeling
Autoren GND-ID; GND-ID
OriginalveröffentlichungMethodology 13 (2017) 3, S. 83-97 ZDB
Dokument (formal und inhaltlich überarbeitete Version)
Schlagwörter (Deutsch)Methodologie; Organisation; Wachstum; Längsschnittuntersuchung; Daten; Datenanalyse; Strukturgleichungsmodell; Mehrebenenanalyse; Latente Wachstumskurvenmodelle; PISA <Programme for International Student Assessment>; Simulation; Statistische Methode
TeildisziplinEmpirische Bildungsforschung
DokumentartAufsatz (Zeitschrift)
SpracheEnglisch
Erscheinungsjahr
BegutachtungsstatusPeer-Review
Abstract (Englisch):In repeated cross-sections of organizations, different individuals are sampled from the same set of organizations at each time point of measurement. As a result, common longitudinal data analysis methods (e.g., latent growth curve models) cannot be applied in the usual way. In this contribution, a multilevel structural equation modeling approach to analyze data from repeated cross-sections is presented. Results from a simulation study are reported which aimed at obtaining guidelines on appropriate sample sizes. We focused on a situation where linear growth occurs at the organizational level, and organizational growth is predicted by a single organizational level variable. The power to identify an effect of this organizational level variable was moderately to strongly positively related to number of measurement occasions, number of groups, group size, intraclass correlation, effect size, and growth curve reliability. The Type I error rate was close to the nominal alpha level under all conditions. (DIPF/Orig.)
Statistik Anzahl der Zugriffe auf dieses Dokument
PrüfsummenPrüfsummenvergleich als Unversehrtheitsnachweis
Eintrag erfolgte am15.12.2018
Empfohlene ZitierungHochweber, Jan; Hartig, Johannes: Analyzing organizational growth in repeated cross-sectional designs using multilevel structural equation modeling - In: Methodology 13 (2017) 3, S. 83-97 - URN: urn:nbn:de:0111-pedocs-158678
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