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Questions tagged [intraclass-correlation]

Intraclass correlation coefficient (ICC) measures how much quantitative values are similar or associated within groups. There exist several versions and alternative formulations of ICC. The correlation is used to assess a dataset clusteredness, agreement among raters and in other settings.

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To pool or combine multiple correlations: Pearson and ICC

For part of a study we are running, we are investigating the correlation between a post-practice score, and the subsequent day's pre-practice score. We are looking at the potential association between ...
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How low should an ICC be to justify disaggregating (i.e. ignore clustering) a multilevel/mixed model?

It is conventional wisdom that ICCs can be used to estimate how much clustering/non-independence is occurring in data consisting of two or more levels. ICCs can inform whether a multilevel/mixed model ...
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Asymptotic distribution of intraclass correlation

Consider the random effects ANOVA model below (notation based on Snijders and Bosker, 1999), where $j$ represents a group and $i$ an individual: $$ Y_{ij} = \mu + U_j + R_{ij}, \qquad var(Y_{ij}) = \...
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Fluctuation and standard errors in election polling

British politics is very interesting lately; particularly so since Corbyn was elected Labour leader in 2015, and later with Brexit happening and so on. Since then, multiple events have had dramatic ...
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Inter-rater reliability or intraclass correlation for one subject

I'm looking for a way, in R, to get measures of agreement for each item. I have 32 ordinal items (we want separate statistics for each), and 66 raters.I have two subjects, but we want to look at the ...
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How to use ICC(intraclass correlation coefficient) to test the correlation between categorical and numerical variables?

I have a dataset with both numerical and categorical variables.I'm trying to test the correlation or say, strength of association between these two kinds of variables. I already tried the eta and eta ...
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Interpreting ICC in 3-level logistic regression

I've run a 3-level logistic regression in STATA- level one is maternal health clinics (N=200), level 2 is the primary health care centres(N=41) which run the clinics and level 3 is the district(N=8). ...
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Intra-observer variance versus inter-observer variance for non-i.i.d. measurements

I have three judges (A,B,C) that estimate a value for N objects. Each judge estimates the same object three times, so that my data frame looks like ...
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How to do Intraclass correlations & Within-group reliability in SPSS?

Friends, My sincere apologies if this question has been posted earlier. I am looking for help in terms of how to do Intraclass Correlations and find out how to do within group reality in SPSS. I am ...
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What statistical test should I use to check that test-retest data are not significantly different in a repeated measures design?

I have a repeated measures study with two independent factors. The first factor is an environment factor that with three environments: a, b, and c. The second factor is the treatment: no treatment, ...
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Intra-class Correlation Coefficient (ICC) for a single subject

I need to calculate a score that reflects the level of disagreement/ambiguity between raters for a music clip. The experimental set-up is that 10 respondents listen to a clip with a one-dimensional ...
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Bayesian Comparison of Dependent Correlation Coefficients

I would like to compare the correlation coefficients from two different models of the same data points. One of them is the raw bivariate data (Value vs Time), and the other is given a biologically-...
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Variance Partitioning Coefficient to help random effect interpretation in lme4 model with both random intercepts and slopes?

I am working on a project having to do with disadvantaged families accessing support services from a charity. The structure of the data places us within a mixed model context: for the random side, we ...
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Test-Retest reliability/ICC Help?

I’m sure this is a simple question but I’m new to statistics and would really appreciate the help! The study I am working collected data over two testing days. On each testing day subjects ran a ...
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Inter and Intra-rater reliability

I am working on a project, in which we asked 5 raters to evaluate a bone dyplasia. All raters evaluated the dysplasia between o and 3. 0: normal 1: mild dysplasia 2: moderate dysplasia 3: severe ...
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Differences between glmmadaptive Vs lme4 and glmmTMB in ICC measurement

This is my first question, so please be kind... I am currently modelling a GLMM with a binary outcome with many (500+) clusters but cluster size of 2 (by design - there can be no more than 2 per ...
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How to calculate ICC for a zero-inflated negative binomial model

I did a zero-inflated negative binomial regression on some data. However, the data is nested (students within schools), and I would like to calculate ICC to make sure that we did not need to take this ...
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Getting significant between effects in mediation despite low ICC

I am interested in examining between effects using lmer in a mediation model using mediation and within effects using ...
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Meta-analyzing ICCs to avoid using multiple random effects?

(Note: Parts where I've encountered problems are in bold to make them easily findable.) I have data from a longitudinal study of twins. Several biomarkers are measured, usually 4 measurements each (...
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How should I compare variability across repeated measures in a single trial vs variability across measurements across repeated trials?

I have collected some data from different subjects in 2 different ways. In the first way, each subject performed one long trial, I segmented the data captured and and calculated a variable value for ...
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Should I use ANOVA or ICC to demonstrate no effect between measurements before and after a treatment?

I have taken a performance measurement on a group of subjects, then put those subjects through a treatment, and remeasured their performance. I would like to comment on the similarity between the ...
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Intraclass correlation coefficient (ICC) for two raters using a mixed effects model for a design with repeated measurements

I want to calculate the intraclass correlation coefficient (ICC) for an inter-rater assessment with two raters. The design is as follows: Each of the $n$ subjects were assessed by the same 2 raters on ...
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Which ICC (ICC(2,1) or ICC(2,k)) should I report?

I have some hundred subjects indicating on a 7point scale for 10 situations how likely they are to be influenced in diverse situations. I will build an index of the responses for these behaviors and ...
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How to calculate intra-observer error and average difference?

I am trying to assess intra-observer error in a setting where measurements where done repeatedly by a single observer. So far I'm having some conceptual and technical issues. In the dataset we have ...
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Is the ICC appropriate here?

I have N tissue samples, labelled as either A or B. 2 measurements are taken from each sample. The data is not normally distributed. I'm interested in 2 things: firstly, whether there is ...
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How to compute intraclass correlation (ICC) for THREE-level logit hierarchical model?

I know that for a two level model the formula is: ICC = 𝜎^2/(𝜎^2+(π^2/3) But how can I calculate it for a three level logit MLM?
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Measuring equivalence/reliability (ICC and consorts)

For a reliability study I’m administering patient reported outcomes (questionnaires) with 2 modes of administration (on paper and via an electronic device). I’d like to measure equivalence/reliability ...
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Calculating ICC using z-scored standardized or unstandardized DV in Multilevel Linear Model?

I am doing multilevel linear modelling and I am calculating my ICC for my random intercept model. However, when I use the z-scored standardized DV (reaction time), the intercept and residual variance ...
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Interpretation of low intraclass correlation coefficient (ICC) values and assumptions of independence

I have an unbalanced repeated measures data set and my main goal is to see what stats are correlated with win percentage. There is an unbalanced number of observations per player. With my data set I ...
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Measure stability of radiomic features using ICC

I have a question regarding ICC. I want to measure how different MRI T1 pulse sequences affect radiomic features extraction. I have at the moment 7 patients, all of them have T1 SE and T1 GRE scans. ...
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37 views

Checking ICC in MLM when DV is level 2

I'm running a multilevel model in SPSS where my data is grouped by teams. The DV is a level 2 variable since the team as a whole got a score (1 - 10) for completing a task. The IV is level 1 such that ...
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Is it okay to use ICC with auto-correlated time series data?

Is it okay to use ICC with autocorrelated data and if not, how do you deal with this? I'm trying to measure reliability of devices measuring a continuous physiological signal.
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What are p and p0 in ICC.Sample.Size

The purpose of this R package should be self-explanatory. However, its parameters are not. The help page never explains what is meant by p and ...
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interrater-reliability with likert-scale and different raters

I am collecting data from a survey that includes a likert scale of 5 points. Each rater answers 18 questions (probably different questions). For each question I will have answers from 10 different ...
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How to calculate Intraclass Correlation Coefficients (ICC) for hierarchical or clustered data

I have 4 measurements for each of my 1000 subjects, and each subject has a bunch of parameters (p1, p2, ... p100), for each of which I would like to calculate an ICC (version: (3,1) according to ...
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How should clustering be accounted for in logistic regression, when there are very few clusters?

I have survey data from 1000 patients. This is a convenience venue-based sample. In a specific city, at 9 hospitals that happen to have a psychosocial program, patients can opt into the program if ...
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Should reviews/ratings data be considered as repeated measures?

Suppose I have some ratings/review data for a type of product (say coffee). There are many different kinds of coffee and there are many different subjects reviewing coffee and also some covariates ...
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210 views

Intraclass Correlation Coefficient in multilevel models (HLM)

I am currently writing my Master's Thesis and struggling to find a convenient way of calculating the ICC for my multilevel model (random intercept, fixed slopes). Information to the data: I have ...
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140 views

Adjust intraclass correlation for measurement error

It's been known since Spearman (1904) that one can adjust an observed Pearson correlation for measurement error using this formula (R code with tidyverse attached): ...
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icc in hierarchical models as variance partition coefficient

When I learned multilevel modeling, one of the first things we were required to do is to run an empty model with the dependent variable and the clustering IDs. In my understanding, the ICC of such a ...
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109 views

Can ICC be used to measure and benchmark ordinal classification accuracy?

I am conducting ordinal regression with an ordinal categorical target outcome roughly equally distributed as 1, 2 or 3. (This ordinal categorical target is actually the conversion of a numeric target ...
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43 views

Comparing dependent correlations

I have a simple single-group pre-post design and have Pearson correlations for performance and self-report for both times of measurement for each participant that I would like to compare. Would using ...
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185 views

Logistic linear mixed effects model with categorical predictors

I've read a lot of threads on stack exchange but haven't exactly found what I'm looking for. Everyone seems to have a slightly different problem/issue. First, lets have a look at my data: 120 Users ...
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72 views

Intraclass Correlation Coefficient with Bayesian ordered-logit GLMM (STAN)

I am fitting a Generalized Linear Mixed Model for an ordered outcome, in form of an ordered logit, with random intercept and slope. For this task, I am going Bayesian by handling STAN through the ...
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Interpretation of ICC when multiple random intercepts and fixed effects are collinear in mixed models

The intraclass correlation coefficient (ICC) is used in mixed models to give a sense of how much variance is explained by a random effect. It is calculated by dividing the variance of the random ...
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Calculating ICC 2.1C in R

Intraclass Correlations using Mcgraw and Wong conventions defines 5 ICC´s for single scores. I am interested in calculating both Two-way random, single measures, absolute agreement (Sometimes ...
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41 views

Intraclass Correlations for Intraobserver-Reliability in Hierarchical Data

We have a dataset where multiple measurements of the same variable are taken from individuals and we want to measure the intraobserver reliability. However, the individuals each come from different ...
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188 views

Test-Retest reliability for mixed models

We have an experimental setup as follows: A set of subjects each repeat a single task multiple times in a single session, yielding a set of measurements. The same subjects then repeat the same task ...
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best statistical approach to study the time evolution of clustering in a data set

I am using a stochastic method for the clustering of a data set. The number of clusters that this approach returns, can differ in each iteration. On the other hand, I would like to study the evolution ...
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How to test correlation in this model

I have a model with $n$ participants. From 5 different angles $\theta_1, \theta_2, \dots, \theta_5$, each participant either responds to a stimulant with either a $0$ or a $1$, so $y_{i,\theta_j} \in \...