Exploratory Factor Analysis

4. The Naming of Subscales Exploratory factor analysis (the principal factor method, promax rotation) was conducted on 55 items on a draft of scales, selecting a total of 42 items (15 items in Factor I, 11 items in Factor II, 10 items in Factor III, and 6 items in Factor IV) as a Scale that measures Instructional Activities for Supporting the Formation of Relationship between Students and Child patients in Pediatric Nursing Practicum (SIAPRSCCTPN) (Table 4). The extracted four factors were treated as subscales and named as follows. We named Factor I “Assessment on Intervention” because 14 items excluding I-26 were the ones that judge the necessity of intervention, such as I-6 (Judging the timing of intervention for each student in the early …show more content…
There was a high correlation between them (r = .82, p < .01). From this result the stability of SIAPRSCCTPN was confirmed. We also conducted the correlation analysis between the total scale scores of Investigation I and Investigation II. Its results were r = .76 (p < .01) in Factor I, r = .80 ( p < .01) in Factor II, r = .75 ( p < .01) in Factor III, and r = .72 ( p < .01) in Factor IV, showing significant correlation between them. From this result the stability of subscales was also …show more content…
A subscale of “support of the facilitation of nursing care” included three items of “judgment on the necessity of intervention” and 8 items of “educational intervention” at the time of making items. Subscales of “support of the facilitation of approach behaviors” and “support of verbal communication” were composed of items on “educational intervention.” It was confirmed that extracted factor structure covered constructs at the time of making items, therefore, we judged that extracted four factors were appropriate subscales comprising