How do you interpret the intraclass correlation coefficient?
How do you interpret the intraclass correlation coefficient?
Under such conditions, we suggest that ICC values less than 0.5 are indicative of poor reliability, values between 0.5 and 0.75 indicate moderate reliability, values between 0.75 and 0.9 indicate good reliability, and values greater than 0.90 indicate excellent reliability.
What does a low ICC mean?
Like most correlation coefficients, the ICC ranges from 0 to 1. A high Intraclass Correlation Coefficient (ICC) close to 1 indicates high similarity between values from the same group. A low ICC close to zero means that values from the same group are not similar.
What is intraclass correlation coefficient value?
An intraclass correlation coefficient (ICC) is used to measure the reliability of ratings in studies where there are two or more raters. The value of an ICC can range from 0 to 1, with 0 indicating no reliability among raters and 1 indicating perfect reliability among raters.
What does the ICC tell you?
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 is intra cluster correlation?
The intracluster correlation coefficient (ICC) ,or ρ (the Greek rho), is a measure of the relatedness of clustered data. It accounts for the relatedness of clustered data by comparing the variance within clusters with the variance between clusters.
What does ICC mean in reliability?
Intraclass correlation coefficients
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.
Can ICC values be negative?
Negative ICC estimates are possible and can be interpreted as indicating that the true ICC is low, that is, two members chosen randomly from any class vary almost as much as any two randomly chosen members of the whole population.
What is inter cluster and intra-cluster?
The inter-class cluster show the distance between data point with cluster center, meanwhile intra-class cluster show the distance between the data point of one cluster with the other data point in other cluster.
What does it mean when data is clustered?
One particularly prevalent type of data is referred to as “clustered data.” Clustered data are characterized as data that can be classified into a number of distinct groups or “clusters” within a particular study. However, there are many other types of experimental design that can yield clustered data.
Is intraclass correlation coefficient a measure of reliability?
The ICC is a measure of reliability, specifically the reliability of two different raters to measure subjects similarly [12, 13].
What does a negative intraclass correlation coefficient mean?
The intraclass correlation measures a special meaning of the word independence. The intraclass correlation will be greater than 0. However, if the variability within the group is greater than across groups, then this is evidence of “divergence” within a group and the intraclass correlation will be negative.
What is intra-cluster correlation?
What does the intracluster correlation coefficient tell us?
SUMMARY. The intracluster correlation coefficient, or ρ, is a measure of relatedness of responses within a cluster. In human studies it is usually small, but in the design effect it is magnified by the number of elements in the cluster (m). The smaller the design effect, the larger the effective sample size.
What do we know about intra-cluster correlation coefficients (ICCs) in type 2 diabetes?
There are few sources of published data on intra-cluster correlation coefficients (ICCs) amongst patients with type 2 diabetes (T2D) and/or hypertension in primary care, particularly in low- and middle-income countries. ICC values are necessary for determining the sample sizes of cluster randomized trials.
How do you calculate the clustering effect?
The clustering effect can be determined by calculating the intra-cluster correlation coefficient (ICC), ρ = \\frac {b} {b+w} , based on measured outcomes, where b is the between-cluster variance and w is the within-cluster variance [ 5 ].
What is the ICC of a cluster in a CRCT?
Therefore, the ICC can range from 0 to 1, depending on how varied the measured outcomes would be within a cluster. The sample size of CRCTs often needs to be inflated by the design effect, DE = 1 + ( n – 1) ρ, where n is the average number of individuals per cluster.
