2023 Volume 33 Issue 2-2 Pages 69-80
〔Aims〕To develop a reliable and validated scale for self-diagnosis of problems that nursing faculty in Japan encounter while supervising master’s theses.
〔Methods〕An exploratory sequential design of mixed methods was used. The questionnaire items were generated based on the problems that nursing faculty encounter in their supervision of master’s theses as revealed by qualitative research. Content validity was examined by a panel of experts and via two pilot studies. A national survey for nursing faculty involved in supervision of master’s theses was conducted to examine the reliability and validity of the scale.
〔Results〕Valid answers were 215, and 20 items were selected based on the results of item analysis. Cronbach’s alpha reliability coefficient was .87, and the result of test-retest reliability was r=.87 （p<.001）. The results of principal component analysis and analysis of covariance structures showed that the scale has a generally unidimensional structure. The scale scores were significantly correlated with research supervision abilities r=−.385 （p<.001）. The scores of the nursing faculty with experience producing PhDs were significantly lower than those without （t=2.36, p<.05）.
〔Conclusions〕The “Scale for Self-diagnosis of Problems While Supervising Master’s Thesis in Nursing” has both reliability and validity, and can be utilized for understanding objectively the problems that nursing faculty encounter in their supervision of master’s theses.
