Agreement and Validity Tests
Icc(3,k) Average-measure Statistical Calculator
ICC(3,k) Average-Measure Calculator calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix. Use the tabbed test workspace below for data, variables, analysis, visualizations, results, interpretation and reporting.
Quick method summary
The icc(3,k) average-measure statistical calculator calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
Agreement and Validity Tests
ICC(3,k) Average-Measure Calculator
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
Calculated result
When to use
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
Formula or algorithm
ANOVA mean squares are combined using the named one-way random, two-way random, or two-way mixed average-measure ICC formula.
Assumptions and limits
Use the variable scales and sampling design required by this named statistical method. Review missing values, independence or pairing, outliers, and distribution or model assumptions before interpretation. Confirm that the selected dependent, independent, grouping, time, item, rater, or matrix variables match the research design.
Formula review
Formula, input validation, output contract, and independent control cases reviewed 2026-08-02; study-design assumptions remain visible to the user.
ICC(3,k) Average-Measure Calculator method, assumptions and reporting guideComplete selected-test explanation, assumptions, formula and reporting details
Data Import and Variable Requirements
Upload XLSX, CSV, TSV, TXT, JSON, or pasted data where applicable; inspect cleaning, select the required variable roles, and review mapped inputs before calculation. For ICC(3,k) Average-Measure Calculator, map Rows are subjects; columns are raters from the cleaned browser-local table; every mapped variable remains editable before calculation, and the active dataset remains available while you work with this selected test and when you return to the Test Finder.
Uploaded files are processed locally in the browser. The cleaning report appears before variable selection, and the selected cleaned columns are mapped to this exact calculator rather than a generic fallback.
ICC(3,k) Average-Measure Calculator Workspace Features
- Dedicated ICC(3,k) Average-Measure Calculator variable mapping, calculation contract, result explanation, and diagnostics
About the ICC(3,k) Average-Measure Calculator
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix. This calculator applies the displayed method to the requested inputs and reports the intermediate values used in the result.
When to Use the ICC(3,k) Average-Measure Calculator
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
How the ICC(3,k) Average-Measure Calculator Works
ANOVA mean squares are combined using the named one-way random, two-way random, or two-way mixed average-measure ICC formula.
The calculation runs in the browser. Submitted values are validated for required numeric ranges, data shape, units and method-specific restrictions before results are shown.
Assumptions and Checks
- Use the variable scales and sampling design required by this named statistical method.
- Review missing values, independence or pairing, outliers, and distribution or model assumptions before interpretation.
- Confirm that the selected dependent, independent, grouping, time, item, rater, or matrix variables match the research design.
Required Inputs
- Rows are subjects; columns are raters (required)
Results Reported
The result workspace shows the final answer and intermediate quantities needed to audit the calculation. Depending on the method, reported values include:
- Subjects
subjects - Raters
raters - MS Subjects
ms_subjects - MS Raters
ms_raters - MS Error
ms_error - Intraclass Correlation
icc
ICC(3,k) Average-Measure Calculator Worked Example
Load the verified example or upload cleaned data, assign variable roles, calculate, and review the method-specific result and chart.
| Input | Example value |
|---|---|
| Rows are subjects; columns are raters | 8,9,8
7,8,7
9,9,10
6,7,6
8,8,9 |
How to Use This Workspace
- Confirm that the method matches the quantity, hypothesis, model or planning question you need to solve.
- Enter values with compatible units and the requested sample, group, matrix, count, date or option format.
- Use Example Data to inspect a valid input layout, or enter your own values and run the calculation.
- Review the result table, formula, substitutions, warnings and interpretation rather than relying only on the headline number.
- Copy, download or print the result when you need a reusable analysis record.
Understanding and Reporting the Result
Interpret the estimate, uncertainty, test statistic, p-value, effect size, and diagnostics for the selected variables and design. In the ICC(3,k) Average-Measure Calculator result workspace, interpret Subjects, Raters, MS Subjects, MS Raters, MS Error, Intraclass Correlation together with the method assumptions, warning messages, confidence information, effect magnitude, and diagnostic plots shown for the selected variables.
Review the formula, units, assumptions, and result interpretation before using the calculation.
Keep the entered values, units, selected options and any warning shown beside the result. For a hypothesis test, report the statistic, degrees of freedom where applicable, p-value, alpha level, effect size and decision. For an estimate or conversion, report the formula convention and final unit.
How to Report the Result
Report the method, selected variables, sample information, estimate or statistic, uncertainty, p-value when applicable, and practical conclusion. A reproducible ICC(3,k) Average-Measure Calculator report should identify the mapped variables, valid observations, exclusions or missing-data handling, selected options, principal outputs, uncertainty, diagnostics, and the practical conclusion supported by the analysis.
Accuracy and Limitations
The calculator keeps full browser precision during calculation and rounds only for display. Accuracy still depends on correct inputs and on whether the displayed model represents the real problem. Educational calculators cannot replace required professional review, current official rules, field measurements, laboratory methods or specialist statistical software where those are necessary.
Frequently Asked Questions
What does the ICC(3,k) Average-Measure Calculator calculate?
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
Which formula does the ICC(3,k) Average-Measure Calculator use?
ANOVA mean squares are combined using the named one-way random, two-way random, or two-way mixed average-measure ICC formula.
What does the icc(3,k) average-measure statistical calculator calculate?
Calculate an average-measure intraclass correlation coefficient from a subjects-by-raters matrix.
Can the icc(3,k) average-measure statistical calculator upload Excel or CSV data?
Yes. The web application cleans supported files locally in the browser and maps compatible variables to the calculator.
Does the icc(3,k) average-measure statistical calculator show a chart?
Yes. The result panel renders a method-specific chart or diagnostic visual from the entered or uploaded data.
How should I report the icc(3,k) average-measure statistical calculator result?
Report the method, variables, sample information, estimate or statistic, uncertainty, p-value where applicable, assumptions, and conclusion.