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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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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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21 views

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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27 views

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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45 views

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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38 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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100 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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52 views

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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41 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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1answer
33 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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1answer
74 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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1answer
32 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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212 views

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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162 views

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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30 views

Disagreeing measures of agreement for multilevel modeling

I created a questionnaire of 3 parts. Each part has a few questions. I now want to see if I can gather data into level 2 modeling (i.e. take each part and gather all answers to have only one number). ...
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1answer
30 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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98 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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Measures of rater agreement for timing dataset

I have a dataset that contains multiple raters. Each rater had to watch 6 videos and indicate the time at which an event occurred (e.g., 2 secs, etc.) during each trial (60 trials total). For example: ...
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49 views

Multiple Imputation of Multilevel data

I am using Mice package in R for multiple imputation of a multilevel data where repeated measures are nested within individuals. But there is a bug in mice for which we need to convert the group ...
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1answer
22 views

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 \...
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finding intraclass correlation in a set of unequally sized groups

I'm trying to analyze a set of N samples taken from M subjects, with N>M (each subject was sampled at least once). I'm interested in finding the intraclass correlation coefficient (ICC). After looking ...
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34 views

Interpreting variance given stepwise changes in generalized linear mixed effects models (glmer in lme4 for R)

I am conducting an analysis for which I would like to better quantitatively understand how the incremental introduction of additional variables to mixed effects models can be used to infer which ...
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1answer
94 views

Calculating variance components and ICC of a random intercept model by hand

When I really want to understand a measure or parameter, I tend to do the calculation by hand with simplified data. Today I have attempted to do the same with the ICC, but somehow keep failing. I was ...
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Is Intra-cluster correlation recommendable to test an imputation method?

I am thinking at a situation where we are testing the performance of an imputation method, by using real values. Is it ok to use Intra-cluster correlation, by considering each value-estimate pair as a ...
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Intra-class correlation between two raters

I'm reading a paper that compares two raters (one human, one algorithm) that rate images with a single number (total volume of an object in the image), and there are about 100 images. Each image is an ...
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How to calculate momentary intra class correlations (ICC)

I came across this paper (http://dx.doi.org/10.1037/abn0000064 )that has intensive longitudinal data (128 measurement points per participant). They are interested in momentary negative affect ...
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Measuring emotion differentiation on a within-person level.

To measure emotion differentiation, which refers to the precision of an individual to accurately describe and distinguish between different emotional states, many studies have used a between-person ...
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When do I use two-way mixed, two way random and one way random for the Intraclass correlation coefficient?

I have a question about the intraclass correlation coëfficiënt. I have 62 patients for whom I calculated the breast tumor volume. The surgeon who resected the tumors did the same thing, but without ...
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1answer
134 views

Adjusted ICC with mixed effects model in R [closed]

I am trying to run an intraclass correlation for a small dataset, adjusting for the interval of time between sessions, which varied across participants. In the data below, value is the dependent ...
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121 views

Possible to convert intraclass correlation coefficients ($ICC$) for use in meta-analysis of $r$?

I am trying to meta-analyze the validity evidence for a variety of new-fangled measurement devices. My effect size of interest is the correlation (Pearson's $r$) between measurements from these new ...
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1answer
32 views

Which is the state of the art regarding methods for Association rule learning?

I have a set of data about which I would like as a first step, discover some interesting or frequent relationships. For this I know that there are several algorithms, like association or sequence ...
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1answer
99 views

Which ICC model to use for computer vs. human agreement

I have an agreement study with the following basic construction: ~ 400 items are rated by (1) a computer algorithm, and (2) a human rater. The ratings are on a continuous scale. I would like to ...
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295 views

Is high ICC essential when using HLM?

I have a question related to 'whether HLM is necessary or not.' My data has regions and firms with the time range of 2005 and 2010. I set each firm (with multiple observations within it) as the ...
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40 views

How to correlate time series to a variable

In an experiment, heart rate of participants is collected for 60 seconds (1 reading per seconds) and pupil diameter whilst performing one of three tasks. The success of the task is measured with a ...
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reliability of a device for my thesis and negative icc values in spss

first time here , hoping for a great answer! so my thesis is including using a sensor to measure how far is a a person leg is from the sensor. so i measured it with a ruler and compared with sensor ...
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139 views

ICC low, but still team variables in individual model?

I have data on two levels: team and individual. However, since the ICC on team level is low, I’ll not use a multilevel model but just a regular regression on individual level. After all, the impact of ...
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What test can I use for statistical significance?

This is a graph of the distributions of population proportion (y-axis) by population density (x-axis) for four different modal ages of housing stock. The black line, which we are interested in, ...
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Low ICC for Healthy but Large Difference from Diseased

I have a test I am interested in further investigating for diagnostic purposes. The test involves 6 trials, giving a mean result and variance for each person. What we have found through Mann-Whitney ...
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102 views

Which nlme model formula is correct for my data?

I want to fit a linear mixed model for my data, after reading around now I am slightly confused which one of the three models I had mentioned below is correct for my data. In my data I want to check ...
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1answer
48 views

Intraclass correlation with dependent sample units for inter-rater realibility

I have to calculate intraclass correlation to quantify intra and inter-reliability. However, I am not totally sure whether the classical two-way ICC is appropriate because of the correlation among ...
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2answers
40 views

Computation of correlation between variables pertaining to groups and variables pertaining to subjects included in groups

I have a number of observations that are organized in groups and subgroups. I would like to estimate the correlation coefficient between a variable that refers to each group and a variable that refers ...
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1answer
2k views

Does Cronbach's alpha reveal reliability information over and above the intraclass correlation coefficient?

I have seen in some papers that they have reported ICC as well as Cronbach's alpha. Does Cronbach's alpha provide more information about the reliability of a measured variable (e.g. heart rate at two ...
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1answer
493 views

Partitioning variance within a level in a 3-level mixed effects model

I have a 3-level repeated measures model setup observations (level-1) nested within patients (level-2) nested within providers (level-3). One of my questions is the percentage of variance explained at ...
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1answer
459 views

Showing that 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects

At a conference I overheard the following statement: 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects. It's kind of obvious that this is true, but ...
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39 views

Identifying the method with higher Intraclass correlation coefficient on multiple dependent variables

I have a 24 subjects and for each subject 3 operators generate a 3D Mesh. I then have 4 methods to assign a coordinate system to those 24x3 3D meshes, the results are 3 orthogonal vectors, so 9 ...
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1answer
143 views

Random Intercept Model: Will including Level 1 predictors necessarily reduce ICC?

Heck et al (2013) describe a process of building multilevel models that makes use of the concept of intraclass correlation (ICC). They recommend calculating the ICC from a random-effects ANOVA FIRST ...
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Intraclass correlation with labeled data points

I want to run ICC on my data set, but the label of each point matters. In regular ICC, these data sets would be equivalent: ...
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1answer
380 views

Mixed effects models: ICC and variance decomposition

I am fitting several mixed models, with random intercept/random slope (based on comparing the model with a random intercept model using the AIC and -2LL). For these models I was asked to compute a ICC....