Critical Values for Lawshe’s Content Validity Ratio

By C. Ayre, A. Scally. 2014

1,372 citations recorded by the source corpus.

Subfields: Education, Issues, ethics and legal aspects, Public Health, Environmental and Occupational Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Gary Klein
2. Robert R. Hoffman
3. Sergio S. Braga Junior
4. Marcelo L. D. S. Gabriel
5. Joseph F. Hair
6. Dirceu Silva
7. Jim Gleason
8. Jeremy Zelkowski

In Issues, ethics and legal aspects

1. Sergio S. Braga Junior
2. Marcelo L. D. S. Gabriel
3. Joseph F. Hair
4. Dirceu Silva
5. Jim Gleason
6. Jeremy Zelkowski
7. Stefanie D. Livers

In Public Health, Environmental and Occupational Health

1. Gary Klein
2. Sergio S. Braga Junior
3. Marcelo L. D. S. Gabriel
4. Joseph F. Hair
5. Dirceu Silva
6. Jim Gleason
7. Jeremy Zelkowski
8. Stefanie D. Livers

Citations in the corpus

• Metrics for Explainable AI: Challenges and Prospects (2018, background): “According to Ayre and Scally (2014) the Critical Value of the average CVR should be 0.50 or greater.”
• Development and validation of attitudes measurement scales: fundamental and practical aspects (2019, methodology): “Lawshe (1975) proposed an approach called content validity ratio (CVR), Lynn (1986) further explored the index of content validity and Ayre and Scally (2014) reproduced Lawshe’s CVR to build a critical CVR values’ table, which is very useful as a guide to the freshman researcher.”
• Mathematics Classroom Observation Protocol for Practices (MCOP2): A validation study (2017, methodology): “Based on the value of the content validity ratio (Ayre & Scally, 2014) necessary to reject the null hypothesis that the item does not fit the construct, we present the results of the follow-up survey of experts in Appendix E.”