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STUDENT EVALUATION OF CLINICAL EDUCATION ENVIRONMENT

STUDENT EVALUATION OF CLINICAL EDUCATION ENVIRONMENT

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constraints experienced by students were the only strengths or limitations not specifically<br />

addressed by the scaled-response portion of the instrument.<br />

Finally, students were asked to make any further comments they wished to communicate,<br />

related either to their clinical experience or to the evaluation instrument. Most comments were<br />

general in nature and related to either preceptor or staff issues (both positive and negative<br />

comments) or to general perceptions about the agency environment.<br />

Three study limitations became evident during data analysis, with the physical layout of<br />

the demographic section contributing to two of the limitations. The semester identification item<br />

was found to have 57 missing responses. This did not affect data analysis, as data collection<br />

occurred during only one semester. However, it might affect analysis, if data were to be<br />

collected over the span of several semesters. In addition, the item that requested students to<br />

identify the clinical site being evaluated was found to be problematic. Twenty-six students<br />

identified clinical sites only by institution (hospital) or clinical rotation (psychiatric), rather than<br />

by specific unit or department, even though instructions requested inclusion of the unit or<br />

department. This resulted in the need to create two general agency clinical site groups for<br />

ANOVA analysis, potentially impacting analysis results. However, the majority of missing data<br />

was from students evaluating one specific rotation in psychiatry, so validity testing of the<br />

instrument was assumed to be minimally affected.<br />

The third study limitation that became apparent during data analysis related to the<br />

unequal numbers of students evaluating the variety of clinical sites. Due to senior students<br />

having precepted clinical experiences in a wide variety of community and hospital settings, the<br />

number of students evaluating some sites was very small. Thus, it was necessary to group<br />

individual sites prior to ANOVA analysis. This grouping may have masked extreme scores for<br />

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