
Content validity is the degree to which an instrument has an appropriate sample of items for the construct being measured and is an important procedure in scale development. Content validity index (CVI) is the most widely used index in quantitative evaluation. There are 2 kinds of CVI: I-CVI and S-CVI. A method to compute a modified kappa statistic (K*) can be used to adjust I-CVI for chance agreement. S-CVI/UA and S-CVI/Ave are both scale level CVI with different formulas. Researchers recommend that a scale with excellent content validity should be composed of I-CVIs of 0.78 or higher and S-CVI/UA and S-CVI/Ave of 0.8 and 0.9 or higher, respectively. The characteristics and qualifications of the experts, process and main results of content validity evaluation should be reported in scale-related manuscript.
Psychometrics, Data Collection, Surveys and Questionnaires, Humans, Reproducibility of Results
Psychometrics, Data Collection, Surveys and Questionnaires, Humans, Reproducibility of Results
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 94 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
