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Table 2 Descriptive statistics, intraclass correlation coefficients, ANCOVA for repeated measures, and absolute and directional discrepancies

From: Explaining parent-child (dis)agreement in generic and short stature-specific health-related quality of life reports: do family and social relationships matter?

  Parent-report Child-report   ANCOVA for repeated measures b Discrepancy ANCOVA for repeated measures e
Absolute c Directional d Absolute discrepancy Directional discrepancy
Baseline M (SD) α M (SD) α ICC a F p M (SD) M (SD)     
KIDSCREEN-10 73.15 (13.10) .83 77.02 (14.02) .84 .65 0.31 .58 9.15 (6.77) −4.07 (10.66)     
QoLISSY-22 71.09 (22.63) .95 75.34 (20.66) .93 .75 2.28 .14 11.49 (11.46) −1.02 (16.23)     
Physical QoL 73.67 (20.99) .83 73.76 (20.29) .77 .68 0.03 .87 12.73 (12.38) −2.91 (17.55)     
Social QoL 71.52 (27.14) .93 76.31 (22.65) .87 .73 5.32 .02 13.97 (13.06) −5.58 (18.33)     
Emotional QoL 68.72 (23.54) .86 75.57 (24.27) .85 .66 1.16 .29 10.86 (10.11) −3.22 (14.51)     
Retest M (SD) α M (SD) α ICC a F p M (SD) M (SD) F p F p
KIDSCREEN-10 76.43 (12.69) .82 78.99 (15.74) .88 .59 2.58 .11 9.77 (7.87) −3.77 (11.99) 0.28 .60 0.70 .41
QoLISSY-22 70.86 (22.39) .95 73.81 (22.77) .95 .80 2.52 .12 10.44 (10.29) −0.84 (14.66) 2.16 .15 0.11 .74
Physical QoL 72.42 (21.49) .83 73.04 (21.58) .81 .77 0.04 .85 11.54 (11.97) −2.79 (16.42) 0.39 .54 0.01 .91
Social QoL 70.93 (25.49) .91 73.93 (25.23) .89 .77 4.49 .04 12.63 (12.03) −4.55 (16.87) 0.45 .51 0.03 .86
Emotional QoL 69.61 (24.19) .87 74.28 (24.83) .87 .72 2.35 .13 9.63 (10.12) −2.90 (13.69) 0.78 .38 0.01 .93
  1. a Intraclass correlation coefficients reference values: ICC < .40 = poor agreement, ICC between .41 and .60 = moderate agreement, ICC between .61 and .80 = good agreement, ICC > .81 = excellent agreement (Landis & Koch, 1977). All ICCs were statistically significant at the .01 level
  2. b Univariate analyses of covariance for repeated measures, entering the informant (parent vs. child) as the within-subject factor and the socio-demographic and clinical variables (children’s sex and age group, diagnosis, treatment status and height deviation) as covariates, at baseline and retest
  3. c Absolute discrepancy = Σ (|parent score - child score|)/number of items for each dimension
  4. d Directional discrepancy = Σ (parent score - child score)/number of items for each dimension
  5. e Univariate analyses of covariance for repeated measures, entering the time of assessment (baseline vs. retest) as the within-subject factor and the socio-demographic and clinical variables (children’s sex and age group, diagnosis, treatment status and height deviation) as covariates