What is the difference between inter and intra rater reliability?

What is the difference between inter and intra rater reliability?

Intrarater reliability is a measure of how consistent an individual is at measuring a constant phenomenon, interrater reliability refers to how consistent different individuals are at measuring the same phenomenon, and instrument reliability pertains to the tool used to obtain the measurement.

What is the intraclass correlation coefficient used for?

In statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), is a descriptive statistic that can be used when quantitative measurements are made on units that are organized into groups. It describes how strongly units in the same group resemble each other.

What are inter rater reliability ( IRR ) statistics?

Inter-rater reliability (IRR) is a critical component of establishing the reliability of measures when more than one rater is necessary. There are numerous IRR statistics available to researchers including percent rater agreement, Cohen’s Kappa, and several types of intraclass correlations (ICC).

When to use intraclass correlation coefficients ( ICC )?

Intraclass correlation coefficients (ICC) are recommended for the assessment of the reliability of measurement scales. However, the ICC is subject to a variety of statistical assumptions such as normality and stable variance, which are rarely considered in health applications.

What is the relationship between ICC and reliability?

It could be the case that a low ICC might be due to inconsistency between raters or it might reflect a lack of variability between subjects. Thus, reporting different reliability coefficients (e.g. percent agreement) would allow readers to get a meticulous understanding of the degree of reliability.

What is the relationship between ICC and percent rater agreement?

This article explores the relationship between ICC and percent rater agreement using simulations. Results suggest that ICC and percent rater agreement are highly correlated (R² > 0.9) for most designs used in education.

What is the difference between inter and intra-rater reliability?

What is the difference between inter and intra-rater reliability?

Intrarater reliability is a measure of how consistent an individual is at measuring a constant phenomenon, interrater reliability refers to how consistent different individuals are at measuring the same phenomenon, and instrument reliability pertains to the tool used to obtain the measurement.

Why is it good to have high inter-rater reliability?

Inter-rater and intra-rater reliability are aspects of test validity. Assessments of them are useful in refining the tools given to human judges, for example, by determining if a particular scale is appropriate for measuring a particular variable.

What is inter-and intra-rater reliability for measurement of?

Following a structured protocol, the inter- and intra -rater reliability was good-to-excellent for total scores and in all but two single joints, measured in degrees. The inter- and intra -rater reliability for prevalence of positive hypermobility findings was fair-to-almost perfect for total scores and slight-to-almost-perfect in single joints.

How is kappa value used in inter rater reliability study?

I am conducting an inter-rater reliability study where we have four raters and the form of the rating is “Yes vs. No”. Correspondingly, we chose to use Kappa value as our outcome measure. Now we want to estimate the sample size needed for this study. It was really a big headache to find a well-written method.

How to determine sample size for interrater-reliability?

The principal investigator will code all 600; however, how many of the samples will need to be coded by how many coders to minimize the variance of the intraclass correlation coefficient (ICC)? How to determine sample size when using kappa stats to examine test retest of a questionnaire?

When is a sample size of 25 patients needed?

The interpretation of results is as below: “When the estimated reliability is good (Kappa=0.8) and the estimated proportion of positive outcomes is 30%, with 4 raters, the sample size needed to ensure (with 95% confidence) that the true reliability is also good (Kappa ≥ 0.6) is 25 patients.”