Internal consistency reliability improved if Childbirth and Body Image subscales were removed from PRAS-S Models 1 and 2. Binary logistic regression showed that models 1, 2, and full-scale PRAS all had greater than 98% accuracy in predicting whether someone had high or low anxiety.

New Mexico Highlands University

Focused on 5 factors with the most variance. The factors together explained 81.08% of the variance, and included the labels body image (39.03%), Baby Concerns (13.37%), Medical Staff (12.39%), Anxiety Symptoms (9.19%), and Childbirth (7.12%). Better internal consistency than PRAS-S Model 2 for Study on Psychometric Properties of PRAS-S. 

PRAS-S Model 1 for Study on Psychometric Properties of PRAS-S

Took the highest loading items from the 8 subscales. The factors together explained 64.22% of the variance and the labels included Childbirth Attitudes (33.375%), Body Image (12.249%), Anxiety (10.558%), and Baby Concerns (8.039%).

PRAS-S Model 2 for Study on Psychometric Properties of PRAS-S

Dryer, R., Brunton, R., He, D., & Lee, E. (2022). Psychometric properties of the Pregnancy-Related Anxiety Scale—Screener. Psychological Assessment, 34(5), 443–458. https://doi-org.proxy.wichita.edu/10.1037/pas0001110.supp (Supplemental)

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