Results, Analysis and Discussion
المؤلف:
Sherria Hoskins & Carolyne Jacobs & Heather MacKenzie
المصدر:
Enhancing Teaching and Learning through Assessment
الجزء والصفحة:
P193-C17
2025-07-04
594
Results, Analysis and Discussion
At this early stage the ILP is unable to predict more than 5% of variance in a multiple aggression analysis. However, it is anticipated if a similar exercise were to take place later in the academic year, more conclusive findings would emerge. Related research undertaken by members of the project team would suggest that at an early-stage social confidence rather than confidence in academic related skills is a more meaningful predictor.
Multiple regression and discriminant function analyses were conducted in order to determine the ability of the original and revised ILP factors to predict semester 1 achievement (continuous and categorical). Only one significant model emerged. A stepwise method multiple regression analysis using the revised ILP factors, age and special circumstances information produced a significant model where one predictor contributed significantly to the model; question 9a 'As you approach your studies, do you have any concerns about managing any other aspects of your life (for example, family commitments, financial difficulties, access to computing facilities, personal issues) that could affect your studies? '(F = 4.788, p < 0.05). However the adjusted R square value (0.057) indicates that this model accounts for just 5.7% of the variability in semester 1 mark. The standardized beta coefficient (-.268) indicates that question 9a has a negative relationship with semester 1 mark.
An independent t-test revealed a significant difference at the 10% level between the semester 1 mark for students who said that they did have additional concerns and those who said that they did not (t = 1.863, p < 0.1). Students with additional concerns were achieving significantly lower marks (mean = 53%) than were students without additional concerns (mean = 59%).
A significant difference in a small sample on this scale firmly underpins the impetus and rationale for further research and supports the theoretical framework discussed above.
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