Skip to main content
. Author manuscript; available in PMC: 2023 Nov 1.
Published in final edited form as: Body Image. 2022 Sep 30;43:217–231. doi: 10.1016/j.bodyim.2022.09.005

Table 3.

Rotated Factor Pattern Matrix, with Eigenvalues and Percent Variance Explained for the CII subscales in Study 2.

Original Item Number Item Thick/Curvy Breast Size Thin Waist
5 It is important for me to look thick. .895 −.003 −.043
7 I want my body to look very curvy. .861 .000 −.097
9 I think a lot about looking thick. .685 .037 .13
10 I think a lot about looking curvy. .89 −.032 −.008
17 I want a flat stomach with a big butt and big thighs. .631 .049 .108
21 I want to have a flat stomach with a thin waist and big breasts. −.041 .902 −.022
28 I want big breasts. −.009 .946 −.048
29 It is important for me to have big breasts. .117 .776 −.059
30 I spend a lot of time thinking about having big breasts. −.031 .564 .292
24 I like exercises that make my stomach flatter. .057 −.048 .775
25 It is important for me to have a small waist. −.046 .131 .641
27 I like exercises that make my waist smaller. .001 −.073 .929
Eigenvalues 5.56 1.91
Percent variance explained 46.37 15.89

Note. CII = Curvy Ideals Internalization; Extraction Method: Principal Axis Factoring; Rotation Method: Promax with Kaiser Normalization. The rotation converged in three iterations.