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. Author manuscript; available in PMC: 2013 Oct 19.
Published in final edited form as: Med Decis Making. 2012 Nov 5;33(1):71–77. doi: 10.1177/0272989X12464432

Table 3.

Results of Logistic Regression Analyses Predicting Test Uptake by (Step 1) Demographic Variables,a (Step 2) Attitude Peak (A) or Attitude toward Most Important Disease (B), and (Step 3) Attitude Average

A. Peak Score (in Step 2), N = 275, Beginning Classification Accuracy = 51.4%
−2 Log Likelihood χ2 Model df Sig. χ2 Change df Sig. Change Nagelkerke R2 Percentage Correct
Step 1 368.163 13.064 6 0.042 13.064 6 0.042 0.062 58.9
Step 2 336.832 31.332 7 0.000 31.332 1 0.000 0.199 66.9
Step 3 333.777 47.450 8 0.000 3.054 1 0.081 0.211 69.8
B. Most Important Score (in Step 2), N = 257, Beginning Classification Accuracy = 50.2%
−2 Log Likelihood χ2 Model df Sig. χ2 Change df Sig. Change Nagelkerke R2 Percentage Correct
Step 1 343.810 12.273 6 0.056 12.273 6 0.056 0.062 57.6
Step 2 323.886 32.201 7 0.000 19.928 1 0.000 0.157 66.1
Step 3 315.861 40.226 8 0.000 8.025 1 0.005 0.193 69.6
a

Age, sex, race, level of education, and marital status.