Seddig, Daniel 
ORCID: 0000-0003-1595-6948
(2023).
Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation.
Structural Equation Modeling: A Multidisciplinary Journal.
pp. 1-17.
New York, NY:
Psychology Press, Taylor & Francis Group.
ISSN 1070-5511
Identification Number:10.1080/10705511.2023.2175684
Official URL: http://doi.org/10.1080/10705511.2023.2175684
| Item Type: | Article |
| Creators: | Creators Email ORCID ORCID Put Code |
| URN: | urn:nbn:de:hbz:38-717308 |
| Identification Number: | 10.1080/10705511.2023.2175684 |
| Journal or Publication Title: | Structural Equation Modeling: A Multidisciplinary Journal |
| Page Range: | pp. 1-17 |
| Date: | 2023 |
| Publisher: | Psychology Press, Taylor & Francis Group |
| Place of Publication: | New York, NY |
| ISSN: | 1070-5511 |
| Language: | English |
| Faculty: | Faculty of Management, Economy and Social Sciences |
| Divisions: | Faculty of Management, Economics and Social Sciences > Social Sciences > Sociology and Social Psychology > Department of Scociology |
| Subjects: | Social sciences |
| Refereed: | Yes |
| URI: | http://kups.ub.uni-koeln.de/id/eprint/71730 |
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