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. 2019 Oct 22;21(10):e15720. doi: 10.2196/15720

Table 4.

Item Response Theory model parameters from C-eHEALS Graded Response Modelsa.

C-eHEALS items Discrimination Difficulty
  alpha SD P value betaMb beta1 beta2 beta3 beta4
C-eHEALS1 1.46 0.15 <.001 –0.47 –3.18 –1.96 –0.01 3.26
C-eHEALS2 1.74 0.17 <.001 –0.43 –2.97 –1.77 0.33 2.67
C-eHEALS3 2.31 0.23 <.001 –0.53 –2.86 –1.72 0.06 2.39
C-eHEALS4 1.72 0.16 <.001 –0.51 –3.24 –1.59 0.23 2.57
C-eHEALS5 1.81 0.16 <.001 –0.69 –3.28 –1.70 –0.08 2.31
C-eHEALS6 1.32 0.13 <.001 –0.54 –3.30 –1.78 0.25 2.68
C-eHEALS7 1.55 0.15 <.001 –0.56 –3.58 –1.63 0.25 2.73
C-eHEALS8 1.43 0.14 <.001 –0.38 –2.97 –1.49 0.35 2.59

aDiscrimination (alpha) refers to an item’s ability to discriminate between different latent levels of eHealth literacy (ie, theta). Difficulty parameters (beta) for responses on the 5-point Likert-type scale: 1 (from “strongly disagree” to “disagree”), 2 (from “disagree” to “neutral”), 3 (from “neutral” to “agree”), and 4 (from “agree” to “strongly agree”).

bBetaM: mean beta.