Table 3.

Confirmatory factor analysis results: standardized internal consistency coefficients^a and factor loadings^b for 19 self-efficacy variables^c (n = 183^d of 190 cases)

Factor and item labels	Number of Factor Items, α score	Factor Loadingse
GCP confidence self-efficacy, overall	19, α = 0.96
Conceptualizing a study	8, α = 0.95
Articulate clear purpose		0.898
Select suitable topic area		0.714
Refine a problem to investigate		0.806
Organize research ideas in writing		0.900
Justify importance of research		0.888
Convince reviewers that the research is worth funding (added)		0.745
Logical rational for research		0.867
Relate questions to underlying theory		0.855
Designing a study	7, α = 0.95
Design data analysis strategy		0.855
Select methods of data collection		0.868
State purpose, strengths, limits of study design		0.839
Determine population and sample of study		0.837
Choose appropriate research design		0.832
Determine how each variable will be measured		0.864
Determine adequate number of subjects		0.834
Funding a study	4, α = 0.90
Write a competitive grant		0.781
Identify appropriate funding		0.848
Converse with funders about the project		0.824
Describe funding process		0.842

Fit indices: Chi-square: 534.35, df = 149, P < 0.0001; adjusted GFI: 0.70; CFI: 0.89; RMSEA: 0.12 (90% CI: 0.11–0.13); SRMR: 0.06; Bentler comparative fit: 0.89; Bentler-Bonett non-normed fit: 0.87.

^aCronbach’s alpha scores range from 0 to 1.0 and indicate the level of internal consistency of the items measuring the underlying abstract construct/factor for a given sample.

^bFactor loadings are standardized correlation coefficient estimates for each item in each factor.

^cItem scores are self-rated on a 0 to 10 scale where 0 = no confidence and 10 = complete confidence in ability to perform the task. There were no differences in factor loading whether we used pre- or postintervention data from the study sample.

^dThe maximum likelihood procedure used eliminates incomplete cases from the dataset; there were seven cases with some missing values.

^eAll factor loadings are significant at P < 0.0001.