Title:
FRAME ANALYSIS: A MODERN APPROACH TO FACTOR ANALYSIS
FRAME ANALYSIS: A MODERN APPROACH TO FACTOR ANALYSIS
| dc.contributor.advisor | Hunter, Michael D. | |
| dc.contributor.author | Sanchez, Ryan C. | |
| dc.contributor.committeeMember | Roberts, James S. | |
| dc.contributor.committeeMember | Fletcher, Keaton | |
| dc.contributor.department | Psychology | |
| dc.date.accessioned | 2022-01-14T16:04:33Z | |
| dc.date.available | 2022-01-14T16:04:33Z | |
| dc.date.created | 2021-12 | |
| dc.date.issued | 2021-11-11 | |
| dc.date.submitted | December 2021 | |
| dc.date.updated | 2022-01-14T16:04:33Z | |
| dc.description.abstract | We introduce and develop a new statistical method for exploring latent structures: Frame Analysis. Frame Analysis drops the one-to-one correspondence between factor dimensionality and vector space representation found in Factor Analysis. This minor change obviates factor rotations, simple structure, and provides equal status for cross-loaded items. We show that in Frame Analysis, manifest items are defined by only one frame loading and are uniquely characterized as a linear combination of latent variables: a frame vector. Through a series of simulations, we characterize Frame Analysis performance in three scenarios: Exploratory, Constrained, and Partially-Constrained. Finally, we apply Frame Analysis to archival five-factor personality data and provide evidence that hierarchical personality models are disguised frame vectors. | |
| dc.description.degree | M.S. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/65998 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Factor Analysis | |
| dc.subject | Frames | |
| dc.subject | Psychometrics | |
| dc.subject | Personality | |
| dc.subject | Circumplex | |
| dc.title | FRAME ANALYSIS: A MODERN APPROACH TO FACTOR ANALYSIS | |
| dc.type | Text | |
| dc.type.genre | Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | College of Sciences | |
| local.contributor.corporatename | School of Psychology | |
| relation.isOrgUnitOfPublication | 85042be6-2d68-4e07-b384-e1f908fae48a | |
| relation.isOrgUnitOfPublication | 768a3cd1-8d73-4d47-b418-0fc859ce897d | |
| thesis.degree.level | Masters |