Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration
Based on a synthesis of persistence theory and the empirical literature, an online doctoral program integration model was developed using data from 232 online EdD students. A predictive, correlation design and regression analysis were used to examine if personal factors (sex, race, age, marital stat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Online Learning Consortium
2019-12-01
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| Series: | Online Learning |
| Subjects: | |
| Online Access: | https://olj.onlinelearningconsortium.org/index.php/olj/article/view/1579 |
| _version_ | 1827360436335411200 |
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| author | Amanda Rockinson-Szapkiw Joe Holmes Jacqueline Stephen |
| author_facet | Amanda Rockinson-Szapkiw Joe Holmes Jacqueline Stephen |
| author_sort | Amanda Rockinson-Szapkiw |
| collection | DOAJ |
| description | Based on a synthesis of persistence theory and the empirical literature, an online doctoral program integration model was developed using data from 232 online EdD students. A predictive, correlation design and regression analysis were used to examine if personal factors (sex, race, age, marital status, and presence of children in the home) and program factors (stage in doctoral journey, synchronous interactions, cohorts, and orientations) could predict program integration. The entire model was significant. The variables of sex, race, participation in a cohort, and engagement in synchronous communication individually contributed to the variance in program integration. |
| first_indexed | 2024-03-08T06:46:13Z |
| format | Article |
| id | doaj.art-75325f933b9d42b1b663464863586dce |
| institution | Directory Open Access Journal |
| issn | 2472-5749 2472-5730 |
| language | English |
| last_indexed | 2024-03-08T06:46:13Z |
| publishDate | 2019-12-01 |
| publisher | Online Learning Consortium |
| record_format | Article |
| series | Online Learning |
| spelling | doaj.art-75325f933b9d42b1b663464863586dce2024-02-03T07:55:22ZengOnline Learning ConsortiumOnline Learning2472-57492472-57302019-12-0123410.24059/olj.v23i4.1579Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program IntegrationAmanda Rockinson-Szapkiw0Joe Holmes1Jacqueline Stephen2University of MemphisFBIMercer UniversityBased on a synthesis of persistence theory and the empirical literature, an online doctoral program integration model was developed using data from 232 online EdD students. A predictive, correlation design and regression analysis were used to examine if personal factors (sex, race, age, marital status, and presence of children in the home) and program factors (stage in doctoral journey, synchronous interactions, cohorts, and orientations) could predict program integration. The entire model was significant. The variables of sex, race, participation in a cohort, and engagement in synchronous communication individually contributed to the variance in program integration.https://olj.onlinelearningconsortium.org/index.php/olj/article/view/1579Doctoral persistenceonlinesocial integrationacademic integrationfaculty |
| spellingShingle | Amanda Rockinson-Szapkiw Joe Holmes Jacqueline Stephen Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration Online Learning Doctoral persistence online social integration academic integration faculty |
| title | Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration |
| title_full | Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration |
| title_fullStr | Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration |
| title_full_unstemmed | Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration |
| title_short | Identifying Significant Personal and Program Factors that Predict Online EdD Students’ Program Integration |
| title_sort | identifying significant personal and program factors that predict online edd students program integration |
| topic | Doctoral persistence online social integration academic integration faculty |
| url | https://olj.onlinelearningconsortium.org/index.php/olj/article/view/1579 |
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