13 PD0325901 Speech Suggestions

To evaluate whether responses to CHES-Q items differed by patient demographic characteristics, responses were compared using independent samples t-tests (sex, race, marital status, education) or one-way analysis of variance (income). Pearson correlations were computed between CHES-Q items and age. Exploratory factor analysis and confirmatory factor analysis were undertaken to determine the structure and scoring of the CHES-Q; factors with eigenvalues >1.0 were retained. In addition, the percentage of responses at the lowest value (floor) and at the highest value (ceiling) was calculated for each item. Floor and ceiling effects click here were determined to be present if ��15% of respondents chose either the lowest or highest response.19,20 Analysis of test-retest reliability (ie, the extent to which a measure yields consistent scores over a short period of time, assuming there is no underlying change in health status) was restricted to subjects who reported no changes in health (eg, had not been ill, medication had not changed, had not lost or gained ��3 lb) on the follow-up questionnaire. Results were evaluated using the intraclass correlation coefficient. An intraclass correlation coefficient ��0.70 for each item was considered to reflect acceptable test-retest reliability.21 A paired t-test was calculated to assess whether there were shifts in mean response over this time frame. Convergent validity is demonstrated when scales or items thought to measure the same construct this website have high correlation coefficients, while divergent validity is demonstrated when scales or items thought to measure different constructs have low correlation coefficients. Because there are similar concepts captured by both the SF-36 and CHES-Q, it was hypothesized that there would be moderate to high levels of correlations between several SF-36 scales and GRB10 CHES-Q items. For example, it was hypothesized that the CHES-Q item about physical activities would be moderately to highly correlated with the physical component summary score of the SF-36 (convergent validity). Convergent and divergent validity were evaluated by calculating Pearson correlation coefficients for CHES-Q items with items from the SF-36.18 Importantly, comparisons were made between the magnitude of the association of the CHES-Q with BMI and the association of SF-36 scores with BMI because satisfaction with weight is a driver of behavior and HRQoL, and SF-36 scores are sensitive to BMI categories.22�C26 Known-groups validity analyses were conducted to determine whether the CHES-Q was better able to distinguish between patients known to differ based on clinical factors (BMI [based on self-reported height/weight], disease severity, and HbA1c level). Respondents were categorized based on their self-reported BMI category (available choices were