Which statement about the Kaiser-Meyer-Olkin (KMO) range is true?

Which statement about the Kaiser-Meyer-Olkin (KMO) range is true?

• A. Values between 0.5 and 0.7 are mediocre
• B. Values between 0.7 and 0.8 are mediocre
• C. Values above 0.9 are superb
• D. Values between 0.7 and 0.8 are good

Answer: (A)

Kaiser–Meyer–Olkin (KMO) measures sampling adequacy for factor analysis and ranges from 0 to 1, with higher values indicating that the data are more suited to uncovering underlying factors. A common interpretation is that values in the 0.5 to 0.7 range are mediocre, meaning the sampling adequacy is only fair and you should be cautious about proceeding with factor analysis. As the KMO increases beyond 0.7, the adequacy improves and the results become more reliable, with higher bands often described as good, very good, or superb for the top end. So the statement that values between 0.5 and 0.7 are mediocre matches the typical interpretation and is the best-supported option here. The other statements either mislabel the 0.7–0.8 range or overstate the quality associated with higher cutoffs.

Kaiser–Meyer–Olkin (KMO) measures sampling adequacy for factor analysis and ranges from 0 to 1, with higher values indicating that the data are more suited to uncovering underlying factors. A common interpretation is that values in the 0.5 to 0.7 range are mediocre, meaning the sampling adequacy is only fair and you should be cautious about proceeding with factor analysis. As the KMO increases beyond 0.7, the adequacy improves and the results become more reliable, with higher bands often described as good, very good, or superb for the top end. So the statement that values between 0.5 and 0.7 are mediocre matches the typical interpretation and is the best-supported option here. The other statements either mislabel the 0.7–0.8 range or overstate the quality associated with higher cutoffs.