This exploratory study investigated the variables that predict academic writing difficulties (AWDs) among first-year doctoral students, international and domestic, at a large, publicly funded research university in Southeastern United States. Data were collected through an online survey. The final sample size contained 111 first - year students, domestic and international from various doctoral programs. The first analysis examined factors predicting first-year doctoral students' self-assessed writing difficulties, using Multiple Linear Regression. Five factors were statistically significant predictors of AWDs: Asian race, Colleges of Business, Engineering, and Science, and the age between fifty-five to sixty-four. The remaining factors associated with age, Race, or College were not statistically significant. The second analysis examined differences between domestic and international students using Multivariate analysis of variance (MANOVA) and Multivariate analysis of covariance (MANCOVA). The MANOVA results indicated statistically significant differences in the AWD and GRE writing scores between domestic and international students, but no statistically significant difference was found between the two groups for Motivation. However, when GRE writing scores were used as a covariate, the MANCOVA revealed statistically significant differences for both Motivation and AWD between international and domestic doctoral students. The findings of this study have important pedagogical implications for doctoral students, graduate faculty, curriculum designers, university's administrators, and universities writing support programs.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1074 |
| Date | 01 January 2020 |
| Creators | Khudhair, Iman Ibrahim |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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