Exploring Self-Efficacy and Anxiety in First-Year Nursing Students Enrolled in a Discipline-Specific Scholarly Writing Course
DOI:
https://doi.org/10.17483/2368-6669.1084Abstract
Background: Very few studies measuring writing self-efficacy or anxiety in undergraduate nursing students exist in the education literature. The purpose of the present investigation was to identify if changes to writing self-efficacy and writing anxiety will occur in first-year baccalaureate nursing students who are exposed to a discipline-specific scholarly writing course employing scaffolding strategies as the primary instructional method. Concurrently, this study was the pilot test for a new measure assessing writing self-efficacy, the Self-Efficacy Scale for Academic Writing.
Method: A one-group pre-test/post-test design was employed. Sixty-four paired questionnaires were available for analysis. Bandura’s self-efficacy theory and a scaffolding process guided the study.
Results: Anxiety was significantly reduced from pre-test to post-test (p = 0.005). Writing self-efficacy improved and was near but not significant (p = 0.051). Writing self-efficacy at pre-test predicted 15.4% of the variance in final self-reported grade on the scholarly paper (p = 0.001). Students who reported writing their paper late or last minute reported significantly higher writing self-efficacy compared to students who reported adhering to the paper task schedule (p = 0.021). There were no differences in writing self-efficacy scores based on student past experience with writing or their help seeking activities.
Conclusion: First-year nursing students can benefit from taking a discipline-specific writing course incorporating scaffolding as an instructional method as both writing anxiety and writing self-efficacy can potentially be improved in this population. However, additional research is required to support this claim.
Downloads
Published
Issue
Section
License
Copyright (c) 2017 Kim M. Mitchell, Tom Harrigan, Torrie Stefansson, Holly Setlack (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.