2020
DOI: 10.4038/jccpsl.v26i2.8316
|View full text |Cite
|
Sign up to set email alerts
|

Responsiveness analysis: a psychometric consideration in evaluating patient-reported outcome measures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 13 publications
0
1
0
Order By: Relevance
“…For the combined effect size of VR, we obtained a medium effect size of 0.37. However, according to previous studies, an effect size of ≥0.5 is considered clinically significant ( Han & Yun, 2020 ; Perera & Cader, 2020 ); therefore, our study’s results are insufficient to confirm the effect of VR on ADL in children with CP.…”
Section: Discussionmentioning
confidence: 58%
“…For the combined effect size of VR, we obtained a medium effect size of 0.37. However, according to previous studies, an effect size of ≥0.5 is considered clinically significant ( Han & Yun, 2020 ; Perera & Cader, 2020 ); therefore, our study’s results are insufficient to confirm the effect of VR on ADL in children with CP.…”
Section: Discussionmentioning
confidence: 58%
“…Hedge g value was used, and effect sizes of ≤ 0.3, ~ 0.5, ≥ 0.8, and ≥ 1.3 were set as small, moderate, large, and very large effect sizes, respectively. [ 36 ] When an effect size of ≥ 0.5 was observed in various fields, including health and medical care, it was judged as clinically meaningful, [ 37 , 38 ] and the effect size of each study was analyzed based on the 95% confidence intervals. [ 39 , 40 ] And, because the distribution effect sizes in visual observation was inconsistent and the methodological characteristics of the included studies were different, a random effects model was used.…”
Section: Methodsmentioning
confidence: 99%