Data analysis
Four assumptions were tested: 1) the texts using benefit language and risk language would increase IIFAS-J scores, 2) the improvement in IIFAS-J score would be greater for Group 1 (i.e., those who read the benefits text) than for the other groups, 3) benefit language would be received more favorably than risk language, and 4) participants who reacted favorably to a text would have a more positive attitude toward breastfeeding in post-test measurement than did those who read the risks text. Analysis of Variance (ANOVA) or the chi-square test of independence was used to assess between-group differences in nurse characteristics. The paired t-test was used to compare mean differences in pre-test and post-test IIFAS-J scores within each group. ANOVA was used to compare mean IIFAS-J scores among groups at baseline and after the intervention, and change in IIFAS-J score after the intervention. The chi-square test of independence was used to compare how participants in the three groups reacted to the texts. The t-test was used to assess the association between receiving the text favorably and post-test IIFAS-J scores. Stata version 13.1 was used to analyze all the data (Stata Corp. LLC, College Station, Texas, USA), and a 