| Author | Jobst, Lisa Jasmin Désirée | dc.contributor.author |
| Date of accession | 2023-03-21T09:03:55Z | dc.date.accessioned |
| Available in OPARU since | 2023-03-21T09:03:55Z | dc.date.available |
| Year of creation | 2022 | dc.date.created |
| Date of first publication | 2023-03-21 | dc.date.issued |
| Abstract | The dissertation investigates the effects of multivariate non-normal data on measures of fit and statistical power in structural equation modeling. Different non-normality conditions were generated by means of Monte Carlo simulations considering various estimation methods and corrections to the likelihood-ratio model test statistic. Furthermore, the dissertation provides important insights regarding the simultaneous effect of multivariate non-normality and missing data. The results show that the multivariate distribution has an effect on measures of fit as well as on statistical power in finite samples. | dc.description.abstract |
| Language | en_US | dc.language.iso |
| Publisher | Universität Ulm | dc.publisher |
| Has part | Jobst, L. J., Bader, M., & Moshagen, M. (2021). A tutorial on assessing statistical power and determining sample size for structural equation models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000423 | dc.relation.haspart |
| Has part | Jobst, L. J., Auerswald, M., & Moshagen, M. (2021). The effect of latent and error non-normality on measures of fit in structural equation modeling. Educational and Psychological Measurement. Advance online publication. https://doi.org/10.1177/00131644211046201 | dc.relation.haspart |
| Has part | Jobst, L. J., Auerswald, M., & Moshagen, M. (2022). The effect of latent and error non-normality on corrections to the test statistic in structural equation modeling. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-021-01729-9 | dc.relation.haspart |
| Has part | Jobst, L. J., Heine, C., Auerswald, M., & Moshagen, M. (2021). Effects of multivariate non-normality and missing data on the root mean square error of approximation. Structural Equation Modeling: A Multidisciplinary Journal, 28(6), 851–858. https://doi.org/10.1080/10705511.2021.1933987 | dc.relation.haspart |
| License | CC BY 4.0 International | dc.rights |
| Link to license text | https://creativecommons.org/licenses/by/4.0/ | dc.rights.uri |
| Keyword | Non-normal multivariate data | dc.subject |
| Keyword | Source of non-normality | dc.subject |
| Keyword | Statistical power | dc.subject |
| Dewey Decimal Group | DDC 150 / Psychology | dc.subject.ddc |
| Dewey Decimal Group | DDC 310 / General statistics | dc.subject.ddc |
| LCSH | Structural equation modeling | dc.subject.lcsh |
| LCSH | Multivariate analysis | dc.subject.lcsh |
| LCSH | Statistical hypothesis testing | dc.subject.lcsh |
| Title | Multivariate non-normal distributions and their effects on statistical power and measures of fit in structural equation modeling | dc.title |
| Resource type | Dissertation | dc.type |
| Date of acceptance | 2022-12-08 | dcterms.dateAccepted |
| Referee | Moshagen, Morten | dc.contributor.referee |
| Referee | Klein, Andreas | dc.contributor.referee |
| Referee | Stadnitski, Tatjana | dc.contributor.referee |
| DOI | http://dx.doi.org/10.18725/OPARU-47813 | dc.identifier.doi |
| PPN | 1840016450 | dc.identifier.ppn |
| URN | http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-47889-4 | dc.identifier.urn |
| GND | Strukturgleichungsmodell | dc.subject.gnd |
| GND | Multivariate Analyse | dc.subject.gnd |
| Faculty | Fakultät für Ingenieurwissenschaften, Informatik und Psychologie | uulm.affiliationGeneral |
| Institution | Institut für Psychologie und Pädagogik | uulm.affiliationSpecific |
| Grantor of degree | Fakultät für Ingenieurwissenschaften, Informatik und Psychologie | uulm.thesisGrantor |
| DCMI Type | Text | uulm.typeDCMI |
| Category | Publikationen | uulm.category |
| Bibliography | uulm | uulm.bibliographie |
