The impact of ignoring multiple-membership data structures
| dc.contributor.advisor | Beretvas, Susan Natasha | en |
| dc.creator | Chung, Hyewon | en |
| dc.date.accessioned | 2011-06-13T16:22:18Z | en |
| dc.date.accessioned | 2017-05-11T22:22:15Z | |
| dc.date.available | 2011-06-13T16:22:18Z | en |
| dc.date.available | 2017-05-11T22:22:15Z | |
| dc.date.issued | 2009-05 | en |
| dc.description | text | en |
| dc.description.abstract | This study was designed to investigate the impact of multiple-membership data structures in multilevel modeling. Multiple-membership arises when lower level units (e.g., students) are nested within more than one higher level unit (e.g., schools). In this case, more than one school will contribute to students' academic achievement and progress. In reality, it is inappropriate to assume a pure nesting of a student within a single school. While use of HLM requires either deletion of the cases involving multiple-membership or exclusion of prior schools attended, MMREM includes students who attend multiple schools and controls for the effect of all schools on student outcomes. The simulation study found level two variability underestimation and corresponding level one variability overestimation when multiple membership data structures were ignored. The study also revealed that when HLM failed to include multiple membership data structures, it underestimated school level predictor. With an increased numbers of mobile students under the No Child Left Behind (NCLB) Act, researchers need to understand MMREM and correctly apply it to multiple membership data structures. This MMREM approach will help improve the generalizability of findings and will improve the validity of the statistical results. | en |
| dc.description.department | Educational Psychology | en |
| dc.format.medium | electronic | en |
| dc.identifier.uri | http://hdl.handle.net/2152/11672 | en |
| dc.language.iso | eng | en |
| dc.rights | Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. | en |
| dc.subject | Multiple-membership data structures | en |
| dc.subject | Multilevel modeling | en |
| dc.subject | Students' academic achievement | en |
| dc.subject | Nesting | en |
| dc.title | The impact of ignoring multiple-membership data structures | en |