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Assessing intrarater, interrater and test–retest reliability of continuous measurements
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| Zeitschriftentitel: | Statistics in Medicine |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Statistics in Medicine, 21, 2002, 22, S. 3431-3446 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Rousson, Valentin Gasser, Theo Seifert, Burkhardt Rousson, Valentin Gasser, Theo Seifert, Burkhardt |
|---|---|
| author |
Rousson, Valentin Gasser, Theo Seifert, Burkhardt |
| spellingShingle |
Rousson, Valentin Gasser, Theo Seifert, Burkhardt Statistics in Medicine Assessing intrarater, interrater and test–retest reliability of continuous measurements Statistics and Probability Epidemiology |
| author_sort |
rousson, valentin |
| spelling |
Rousson, Valentin Gasser, Theo Seifert, Burkhardt 0277-6715 1097-0258 Wiley Statistics and Probability Epidemiology http://dx.doi.org/10.1002/sim.1253 <jats:title>Abstract</jats:title><jats:p>In this paper we review the problem of defining and estimating intrarater, interrater and test–retest reliability of continuous measurements. We argue that the usual notion of product‐moment correlation is well adapted in a test–retest situation, whereas the concept of intraclass correlation should be used for intrarater and interrater reliability. The key difference between these two approaches is the treatment of systematic error, which is often due to a learning effect for test–retest data. We also consider the reliability of a sum and a difference of variables and illustrate the effects on components. Further, we compare these approaches of reliability with the concept of limits of agreement proposed by Bland and Altman (for evaluating the agreement between two methods of clinical measurements) and show how product‐moment correlation is related to it. We then propose new kinds of limits of agreement which are related to intraclass correlation. A test battery to study the development of neuro‐motor functions in children and adolescents illustrates our purpose throughout the paper. Copyright 2002 John Wiley & Sons, Ltd.</jats:p> Assessing intrarater, interrater and test–retest reliability of continuous measurements Statistics in Medicine |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Assessing intrarater, interrater and test–retest reliability of continuous measurements |
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assessing intrarater, interrater and test–retest reliability of continuous measurements |
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Statistics and Probability Epidemiology |
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http://dx.doi.org/10.1002/sim.1253 |
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2002 |
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<jats:title>Abstract</jats:title><jats:p>In this paper we review the problem of defining and estimating intrarater, interrater and test–retest reliability of continuous measurements. We argue that the usual notion of product‐moment correlation is well adapted in a test–retest situation, whereas the concept of intraclass correlation should be used for intrarater and interrater reliability. The key difference between these two approaches is the treatment of systematic error, which is often due to a learning effect for test–retest data. We also consider the reliability of a sum and a difference of variables and illustrate the effects on components. Further, we compare these approaches of reliability with the concept of limits of agreement proposed by Bland and Altman (for evaluating the agreement between two methods of clinical measurements) and show how product‐moment correlation is related to it. We then propose new kinds of limits of agreement which are related to intraclass correlation. A test battery to study the development of neuro‐motor functions in children and adolescents illustrates our purpose throughout the paper. Copyright 2002 John Wiley & Sons, Ltd.</jats:p> |
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| description | <jats:title>Abstract</jats:title><jats:p>In this paper we review the problem of defining and estimating intrarater, interrater and test–retest reliability of continuous measurements. We argue that the usual notion of product‐moment correlation is well adapted in a test–retest situation, whereas the concept of intraclass correlation should be used for intrarater and interrater reliability. The key difference between these two approaches is the treatment of systematic error, which is often due to a learning effect for test–retest data. We also consider the reliability of a sum and a difference of variables and illustrate the effects on components. Further, we compare these approaches of reliability with the concept of limits of agreement proposed by Bland and Altman (for evaluating the agreement between two methods of clinical measurements) and show how product‐moment correlation is related to it. We then propose new kinds of limits of agreement which are related to intraclass correlation. A test battery to study the development of neuro‐motor functions in children and adolescents illustrates our purpose throughout the paper. Copyright 2002 John Wiley & Sons, Ltd.</jats:p> |
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| spelling | Rousson, Valentin Gasser, Theo Seifert, Burkhardt 0277-6715 1097-0258 Wiley Statistics and Probability Epidemiology http://dx.doi.org/10.1002/sim.1253 <jats:title>Abstract</jats:title><jats:p>In this paper we review the problem of defining and estimating intrarater, interrater and test–retest reliability of continuous measurements. We argue that the usual notion of product‐moment correlation is well adapted in a test–retest situation, whereas the concept of intraclass correlation should be used for intrarater and interrater reliability. The key difference between these two approaches is the treatment of systematic error, which is often due to a learning effect for test–retest data. We also consider the reliability of a sum and a difference of variables and illustrate the effects on components. Further, we compare these approaches of reliability with the concept of limits of agreement proposed by Bland and Altman (for evaluating the agreement between two methods of clinical measurements) and show how product‐moment correlation is related to it. We then propose new kinds of limits of agreement which are related to intraclass correlation. A test battery to study the development of neuro‐motor functions in children and adolescents illustrates our purpose throughout the paper. Copyright 2002 John Wiley & Sons, Ltd.</jats:p> Assessing intrarater, interrater and test–retest reliability of continuous measurements Statistics in Medicine |
| spellingShingle | Rousson, Valentin, Gasser, Theo, Seifert, Burkhardt, Statistics in Medicine, Assessing intrarater, interrater and test–retest reliability of continuous measurements, Statistics and Probability, Epidemiology |
| title | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_full | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_fullStr | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_full_unstemmed | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_short | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_sort | assessing intrarater, interrater and test–retest reliability of continuous measurements |
| title_unstemmed | Assessing intrarater, interrater and test–retest reliability of continuous measurements |
| topic | Statistics and Probability, Epidemiology |
| url | http://dx.doi.org/10.1002/sim.1253 |