J Am Pharm Assoc (2003). 2022 Sep-Oct;62(5):1623-1630.e2. doi: 10.1016/j.japh.2022.05.006. Epub 2022 May 10.
There are limited data on the psychometric properties of instruments evaluating professional identity (PI) among student pharmacists.
This study analyzed the psychometric properties of an instrument to assess student pharmacists' perception of their PI.
Data from a cross-sectional survey were used to establish validity and reliability evidence of student pharmacists' perception of PI using Rasch analysis. Linear regression was conducted to evaluate the association of students' characteristics with their perceived PI. Analyses were conducted in WINSTEPS (SWREG, Minnetonka, MN) and SAS (SAS, Cary, NC).
The analysis included 118 student pharmacists. Primary analysis suggested inadequate scale functionality; thus, some response categories were merged. With modified item anchors and the removal of the most misfitting item, the data fit the model as measured by student and item infit and outfit mean-squared values. The item-person map showed appropriate distribution of item difficulty, identifying medicine adviser and entrepreneur being the easiest and hardest items to agree with, respectively. Students' abilities initially mismatched with item difficulty and exhibited a ceiling effect, requiring addition of items reflecting students' higher perceptions of PIs. Although students' reliability coefficient (RC) and separation index were 0.98 and 1.73, respectively, RC of the items was 0.94. Students who reported receiving formal PI training were 0.3 times more likely to have high perception of PI than those who did not report training.
The instrument exhibited fair validity and reliability evidence for assessing the perception of PI among student pharmacists. Additional items to fill identified item gaps are needed to improve the instrument's content validity.
针对评估药学专业学生职业认同感(PI)的工具的心理计量学特性,目前仅有有限的数据。
本研究旨在分析评估药学专业学生对 PI 感知的工具的心理计量学特性。
采用横断面调查数据,使用 Rasch 分析方法建立药学专业学生 PI 感知的有效性和可靠性证据。通过线性回归,评估学生特征与他们感知的 PI 之间的关联。分析在 WINSTEPS(SWREG,明尼通卡,MN)和 SAS(SAS,卡里,NC)中进行。
分析纳入了 118 名药学专业学生。主要分析表明,量表功能不足,因此合并了一些反应类别。通过修改项目锚定和去除最不匹配的项目,数据符合学生和项目 infit 和 outfit 均方值衡量的模型。项目-学生图显示出适当的项目难度分布,确定医学顾问和企业家分别是最容易和最难同意的项目。学生的能力最初与项目难度不匹配,并表现出上限效应,需要添加反映学生对 PI 更高感知的项目。尽管学生的可靠性系数(RC)和分离指数分别为 0.98 和 1.73,但项目的 RC 为 0.94。与未报告接受正式 PI 培训的学生相比,报告接受正式 PI 培训的学生更有可能对 PI 有较高的感知,其可能性高 0.3 倍。
该工具在评估药学专业学生 PI 感知方面具有良好的有效性和可靠性证据。需要添加额外的项目来填补已识别的项目差距,以提高工具的内容有效性。