The pairs of items had the same number of calories per 100-gram portions.
The item parameters of the pairs of items were explored in the IRT analysis.
In this paper, we set out to test: Internal consistency : assessed by whether correlations between the four howRwe items are moderate to strong, with the strongest correlation between the pairs of items on clinical behaviour and organisation of care (convergent validity), and Cronbach's α is between 0.7 and 0.9.
In addition, we noticed that the pairs of items that addressed the same activities related to pain (in the subscale Pain) and function (in the subscale ADL Function) such as 'walking on flat surface' (P5 and A6), 'going up and down stairs' (P6 and A1 A2), 'sitting or lying' (P8 and A14) and 'standing upright' (P9 and A4), loaded on the same principal factor.
Participants were asked to select the correct pair of items based on the phrase they heard by using a keyboard.
Correlations above 0.30 in the correlation matrix identified this dependency and led to the exclusion of one item of the correlated pair of items.
Covariance was specified between the error items of the following three pair of items: "Pain walking on flat surface" and "functional limitation walking on flat surface", "pain up/down stairs" and "functional limitation ascending stairs", and "functional limitation getting in/out of a car" and "functional limitation putting on socks".
Average inter-item correlation is a subtype of internal consistency reliability, obtained by taking all of the items on a test that test the same construct, determining the correlation coefficient for each pair of items, and finally taking the average of all of these correlation coefficients.
Using tree-like patterns, the relationships for a pair of items can be identified in terms of the cause and effect.
Solution of analogies requires one to see that the relationship between one pair of items (whether they are words, diagrams, pictures, or objects) is the same as the relationship between a different pair of items.
