Content area

Abstract

In an earlier investigation, the authors assessed the reliability of the ADI-R when multiple clinicians evaluated a single case, here a female 3 year old toddler suspected of having an autism spectrum disorder (Cicchetti et al. in J Autism Dev Disord 38:764-770, 2008 ). Applying the clinical criteria of Cicchetti and Sparrow (Am J Men Def 86:127-137, 1981 ); and those of Cicchetti et al. (Child Neuropsychol 126-137, 1995 ): 74 % of the ADI-R items showed 100 % agreement; 6 % showed excellent agreement; 7 % showed good agreement; 3 % manifested average agreement; and the remaining 10 % evidenced poor agreement. In this follow-up investigation, the authors described and applied a novel method for determining levels of statistical significance of the reliability coefficients obtained in the earlier investigation. It is based upon a modification of the Z test for comparing a given level of inter-examiner reliability with a lower limit value of 70 % (Dixon and Massey in Introduction to statistical analysis. McGraw-Hill, New York, 1957 ). Results indicated that every item producing a clinically acceptable level of inter-examiner reliability was also statistically significant. However, the reverse was not true, since a number of the items with statistically significant reliability levels did not reach levels of agreement that were clinically meaningful. This indicated that clinical significance was an accurate marker of statistical significance. The generalization of these findings to other areas of diagnostic interest and importance is also examined.[PUBLICATION ABSTRACT]

Details

Title
Reliability of the ADI-R for the Single Case-Part II: Clinical Versus Statistical Significance
Author
Cicchetti, Domenic V; Lord, Catherine; Koenig, Kathy; Klin, Ami; Volkmar, Fred R
Pages
3154-3160
Publication year
2014
Publication date
Dec 2014
Publisher
Springer Nature B.V.
ISSN
01623257
e-ISSN
15733432
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1620543497
Copyright
Springer Science+Business Media New York 2014