details
Article (journal) accessible via
URN: urn:nbn:de:0111-pedocs-158678
DOI: 10.25656/01:15867; 10.1027/1614-2241/a000133
URN: urn:nbn:de:0111-pedocs-158678
DOI: 10.25656/01:15867; 10.1027/1614-2241/a000133
Title |
Analyzing organizational growth in repeated cross-sectional designs using multilevel structural equation modeling |
---|---|
Authors | Hochweber, Jan; Hartig, Johannes |
Source | Methodology 13 (2017) 3, S. 83-97 |
Document | full text (439 KB) (formally and content revised edition) |
License of the document | In copyright |
Keywords (German) | Methodologie; Organisation; Wachstum; Längsschnittuntersuchung; Daten; Datenanalyse; Strukturgleichungsmodell; Mehrebenenanalyse; Latente Wachstumskurvenmodelle; PISA <Programme for International Student Assessment>; Simulation; Statistische Methode |
sub-discipline | Empirical Educational Research |
Document type | Article (journal) |
Language | English |
Year of creation | 2017 |
review status | Peer-Reviewed |
Abstract (English): | 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.) |
Statistics | Number of document requests |
Checksums | checksum comparison as proof of integrity |
Date of publication | 15.12.2018 |
Citation | Hochweber, 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 - DOI: 10.25656/01:15867; 10.1027/1614-2241/a000133 |