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Table 1 Analysis by the Rasch model - overall fit statistics for J-EAT-10

From: Item analysis of the Eating Assessment Tool (EAT-10) by the Rasch model: a secondary analysis of cross-sectional survey data obtained among community-dwelling elders

Scale analysis% Extr.Fit residuals mean (SD)Item-trait interactionReliabilityUnidi-mensionality
ItemPersonχ2 (df)PPSI / αPower of fitT-test %
Initial analyses
 1. Full sample (N = 1144)42%−0.66 (4.16)− 0.30 (1.08)485.48 (40)< 0.0010.65 / 0.85Good2.27%
 2. Independent group (N = 594)53%− 0.82 (2.13)−0.37 (0.86)175.92 (30)< 0.0010.32 / 0.72Too low0.72%
 3. Dependent group (N = 550)30%−0.19 (3.53)−0.25 (1.17)293.28 (40)< 0.0010.74 / 0.87Good1.83%
Analysis after reducing to three scoring categories (full sample,N = 1144)
 4. Scoring structure: 00122a65%−0.89 (3.21)−0.25 (0.77)284.01 (40)< 0.0010.38 / 0.76Low1.73%
 5. Scoring structure: 0111242%−1.73 (4.72)−0.35 (0.90)416.01 (40)< 0.0010.69 / 0.83Good1.21%
 6. Scoring structure: 0112242%−1.90 (4.34)−0.38 (1.01)448.90 (40)< 0.0010.66 / 0.83Good2.27%
 7. Scoring structure: 0122243%−0.78 (4.26)−0.26 (1.11)439.37 (40)< 0.0010.65 / 0.89Reasonable0.76%
 8. Scoring structure: 0011265%−0.56 (4.04)−0.24 (0.74)225.24 (30)< 0.0010.49 / 0.76Low1.98%
Optimal values <  15%0 (<  1.00)0 (<  1.00) > 0.05> 0.70< 5%
  1. J-EAT-10 Japanese version of the Eating Assessment Tool, % Extr. percentage of extreme scores, χ2 Chi-square, SD standard deviation, df degrees of freedom, PSI Person Separation Index, α Cronbach’s alpha, CI confidence interval
  2. aScoring structure suggested by Cordier et al. [16]