| Literature DB >> 20339694 |
Marisa Gasparin1, Isabela Hoffmeister Menegotto, Cristine Santos da Cunha.
Abstract
UNLABELLED: It is paramount to assess the psychometric properties of self-assessment tools in order to check the tests' reliability and validity, also to enable proper outcome interpretation. AIM: to check the psychometric properties of the IOI-HA (International Outcome Inventory for Hearing Aids) in its Portuguese version, called QI-AASI (International Questionnaire - Individual Sound Amplification Device), in terms of internal uniformity, correlation between the items and reproducibility. STUDYEntities:
Mesh:
Year: 2010 PMID: 20339694 PMCID: PMC9446040
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Mean, standard deviation of answers corrected item-total correlation, and questionnaire Cronbach Alpha IF each item is removed and for the questionnaire as a whole (n=46).
| Mean | SD | Correlation item-total corrigido | Cronbach Alpha if item is removedremovido | |
|---|---|---|---|---|
| Q1 | 4,67 | 0,94 | 0,27 | 0,67 |
| Q2 | 3,91 | 1,03 | 0,45 | 0,62 |
| Q3 | 3,43 | 1,07 | 0,45 | 0,62 |
| Q4 | 4,26 | 0,93 | 0,62 | 0,58 |
| Q5 | 3,69 | 1,26 | 0,37 | 0,64 |
| Q6 | 3,72 | 1,19 | 0,17 | 0,7 |
| Q7 | 3,91 | 0,98 | 0,41 | 0,63 |
| Total | 27,61 | 4,3 | 0,69 | |
Legend: Q1: question 1; Q2: question 2; Q3: question 3; Q4: question 4; Q5: question 5; Q6: question 6; Q7: question 7.
Correlation between IOI-HA items calculated by Pearson's Correlation Ratio (significant* if p £ 0.05).
| Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | ||
|---|---|---|---|---|---|---|---|---|
| Q1 | Pearson's Correlation | 1,000 | 0,294 | 0,038 | 0,373 | 0,135 | 0,046 | 0,231 |
| p= | (n= 48) | 0,045* | 0,796 | 0,009* | 0,366 | 0,757 | 0,114 | |
| Q2 | Pearson's Correlation | 1,000 | 0,325 | 0,635 | 0,048 | -0,103 | 0,445 | |
| p= | (n= 47) | (n= 47) | 0,026* | 0,000* | 0,753 | 0,493 | 0,002* | |
| Q3 | Pearson's Correlation | 1,000 | 0,276 | 0,295 | 0,243 | 0,323 | ||
| p= | (n= 48) | (n= 47) | (n= 48) | 0,058 | 0,044* | 0,096 | 0,025* | |
| Q4 | Pearson's Correlation | 1,000 | 0,332 | 0,016 | 0,449 | |||
| p= | (n= 48) | (n= 47) | (n= 48) | (n= 48) | 0,022* | 0,913 | 0,001* | |
| Q5 | Pearson's Correlation | 1,000 | 0,399 | 0,044 | ||||
| p= | (n= 47) | (n= 46) | (n= 47) | (n= 47) | (n=47) | 0,005* | 0,767 | |
| Q6 | Pearson's Correlation | 1,000 | 0,026 | |||||
| p= | (n= 48) | (n= 47) | (n= 48) | (n= 48) | (n= 47) | (n= 48) | 0,861 | |
| Q7 | Pearson's Correlation | 1,000 | ||||||
| p= | (n= 48) | (n= 47) | (n= 48) | (n= 48) | (n= 47) | (n= 48) | (n= 48) |
Legend: Q1: question 1; Q2: question 2; Q3: question 3; Q4: question 4; Q5: question 5; Q6: question 6; Q7: question 7.
Differences between mean values, difference standard deviation, paired T-test (significant* if p £ 0.05), correlation between items in both applications and Pearson's Correlation Ratio (significant* if p £ 0.05).
| Question | Difference between mean values SD | Desvio-padrão | p | Correlação | p |
|---|---|---|---|---|---|
| (teste-reteste) | p | Correlation | p | 0,000** | |
| Q2 | 0,02 | 0,45 | 0,743 | 0,907 | 0,000** |
| Q3 | 0,00 | 0,63 | 1,000 | 0,836 | 0,000** |
| Q4 | -0,07 | 0,44 | 0,323 | 0,883 | 0,000** |
| Q5 | -0,11 | 0,80 | 0,359 | 0,801 | 0,000** |
| Q6 | -0,35 | 1,04 | 0,028* | 0,573 | 0,000** |
| Q7 | -0,02 | 0,71 | 0,837 | 0,723 | 0,000** |
Legend: Q1: question 1; Q2: question 2; Q3: question 3; Q4: question 4; Q5: question 5; Q6: question 6; Q7: question 7.