Relationships between economic, political, demographic, and educational climate variables and state appropriations to research I universities
| dc.contributor.author | Frantz, Rebecca L., author | |
| dc.contributor.author | Kuk, Linda, advisor | |
| dc.contributor.author | Bajtelsmit, Vickie, committee member | |
| dc.contributor.author | Gloeckner, Gene, committee member | |
| dc.contributor.author | Hughes, Rodney, committee member | |
| dc.date.accessioned | 2021-09-06T10:25:47Z | |
| dc.date.available | 2021-09-06T10:25:47Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Higher education appropriations have been a widely studied topic by researchers and became more of a concern after the Great Recession. Assessing factors influencing appropriations to Research I institutions is of particular interest as they possess substantial enrollment capabilities but can create great inequities and access issues without state subsidization (Weerts & Ronca, 2006). Two measures of appropriations were crafted using data from the Integrated Post Secondary Data System (IPEDS) for two year and above institutions from 2010 to 2015. Using fixed effects modeling, a series of twelve independent variables across four different categories (economic, political, demographic, and educational climate) were evaluated for predictive power on appropriations. Submodels where constructed on a set of the sample only including Research I institutions. A number of statistically significant effects on appropriations were found in the results and were largely consistent with findings in past research (Tandberg & Griffith, 2013). The largest statistically significant R2 value was found in need to pay overall model. When focusing on this research project's focus evaluating factors influencing appropriations at Research I institutions both Income Disparity (β=-161.951, p<.05) and Citizen Ideology (β=85.50, p<.01) stood out in the results with notable effect sizes. Personal income, citizen ideology, and tuition were significant in three of the four regression models. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier | Frantz_colostate_0053A_16608.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/233779 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | fixed effects | |
| dc.subject | recession | |
| dc.subject | public finance | |
| dc.subject | appropriations | |
| dc.title | Relationships between economic, political, demographic, and educational climate variables and state appropriations to research I universities | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Education | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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