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Table 5 Bayes factors (BF10) for correlations between ideal portion size and predictors of food intake, for individual test foods

From: Testing an online measure of portion size selection: a pilot study concerned with the measurement of ideal portion size

Predictor variable

Granola

Chicken chow mein

Salted crisps

Madeira sponge cake

Chocolate buttons

Skittles

Age (years)

2.00 (−0.40, −0.02)

0.20* (−0.16, 0.21)

0.98 (−0.01, 0.36)

0.19* (−0.19, 0.19)

0.21* (−0.23, 0.15)

0.30* (−0.30, 0.12)

BMI (kg/m2)​

0.19* (−0.18, 0.19)

0.24* (−0.12, 0.25)

0.24* (−0.13, 0.25)

0.20* (−0.23, 0.15)

0.19* (−0.20, 0.19)

0.35 (−0.10, 0.31)

Expected satiation (100mm)

0.19* (−0.19, 0.20)

0.35 (−0.08, 0.29)

0.19* (−0.20, 0.17)

0.84 (−0.35, 0.02)

0.45 (−0.32, 0.06)

0.24* (−0.27, 0.15)

Expected satiety (kcal)

0.83 (−0.02, 0.35)

13.74** (0.09, 0.46)

68.14*** (0.14, 0.51)

191.36*** (0.17, 0.54)

10.17** (0.08, 0.46)

28.10** (0.12, 0.52)

  1. Bayes factors shown are for non-parametric correlations (Kendall’s tau) that do not account for effects of baseline hunger and fullness
  2. Bayes factor indicates *** ‘very strong evidence’; ** ‘strong evidence’; * ‘substantial evidence’; all other factors indicate ‘anecdotal’ or ‘no evidence’. Bayes factor > 1 indicates evidence in favour of an association (H1 over H0)
  3. 95% CI are given in brackets
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Pilot and Feasibility Studies

ISSN: 2055-5784