Yayın: Parameter Recovery for the 1-P HGLLM with Non-Normally Distributed Level-3 Residuals*
| dc.contributor.author | Kara, Yusuf | |
| dc.contributor.author | Akihito Kamata | |
| dc.contributor.orcid | 0000-0003-0691-0630 | |
| dc.contributor.orcid | 0000-0001-9570-1464 | |
| dc.date.accessioned | 2025-11-13T22:51:59Z | |
| dc.date.issued | 2017-01-01 | |
| dc.identifier.doi | https://doi.org/10.12738/estp.2017.4.0250 | |
| dc.identifier.issn | 1303-0485 | |
| dc.identifier.openalex | W2608556539 | |
| dc.identifier.uri | https://hdl.handle.net/11421/15568 | |
| dc.identifier.uri | https://doi.org/10.12738/estp.2017.4.0250 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Educational Sciences Theory & Practice | |
| dc.rights | openAccess | |
| dc.subject | Normality | |
| dc.subject | Covariate | |
| dc.subject | Multilevel model | |
| dc.subject | Statistics | |
| dc.subject | Mathematics | |
| dc.subject | Hierarchical database model | |
| dc.subject | Random effects model | |
| dc.subject | Generalized linear model | |
| dc.subject | Item response theory | |
| dc.subject | Econometrics | |
| dc.subject | Hierarchical generalized linear model | |
| dc.subject | Computer science | |
| dc.subject | Data mining | |
| dc.subject | Psychometrics | |
| dc.subject | Meta-analysis | |
| dc.title | Parameter Recovery for the 1-P HGLLM with Non-Normally Distributed Level-3 Residuals* | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5055809834 |
