Post Hoc Tests
Dunn’s Post Hoc Test Statistical Calculator
Dunn’s Post Hoc Test Calculator run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment. Use the tabbed test workspace below for data, variables, analysis, visualizations, results, interpretation and reporting.
Quick method summary
The Dunn’s Post Hoc Test Statistical Calculator runs the named method with its own validated formula, inputs, intermediate results, chart and interpretation.
Post Hoc Tests
Dunn’s Post Hoc Test Calculator
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment.
Calculated result
When to use
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment.
Formula
Pairwise mean-rank differences are standardized with tie correction and Bonferroni-adjusted p-values.
Assumptions and limits
Use the named design, correct variable scale, independent or paired structure as specified, transparent missing-data handling, and an adequate sample before interpreting inference.
Method integrity
This page uses a separate canonical calculator ID, method-specific inputs, a dedicated calculation branch, an automated fixture, and no generic fallback result.
Formula review
Formula, input validation, output contract, and independent control cases reviewed 2026-08-02; study-design assumptions remain visible to the user.
Dunn’s Post Hoc Test Calculator method, assumptions and reporting guideComplete selected-test explanation, assumptions, formula and reporting details
Data Import and Variable Requirements
Upload XLSX, CSV, TSV or pasted data, review cleaning, then select the dependent, independent, grouping, paired, time, item, rater or study variables required by Dunn’s Post Hoc Test. For Dunn’s Post Hoc Test Calculator, map Independent groups, Familywise alpha 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.
Dunn’s Post Hoc Test Calculator Workspace Features
- Dedicated Dunn’s Post Hoc Test Calculator variable mapping, calculation contract, result explanation, and diagnostics
- Dedicated formula and calculator function
- Manual and browser-local spreadsheet input
- Visible variable roles and selected column names
- Method-specific chart and downloadable results
- Assumptions, warnings and reporting guidance
- Canonical URL with no synonym duplication
About the Dunn’s Post Hoc Test Calculator
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment. Post hoc procedures identify which means differ while applying the named family-wise, stepwise, unequal-variance, control-comparison, or decision-theoretic rule.
When to Use the Dunn’s Post Hoc Test Calculator
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment.
How the Dunn’s Post Hoc Test Calculator Works
Pairwise mean-rank differences are standardized with tie correction and Bonferroni-adjusted p-values.
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
- The study design and variable scales match the named method.
- Independence, pairing, ordering, censoring, grouping or rater structure is represented correctly.
- Missing values and influential observations are reviewed before inference.
Required Inputs
- Independent groups (required)
- Familywise alpha (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:
- Groups
groups - Comparisons
comparisons - Minimum Adjusted P Value
minimum_adjusted_p_value - Decision
decision
Dunn’s Post Hoc Test Calculator Worked Example
Load the example or upload cleaned data, map variables, calculate, and review the method-specific result and chart.
| Input | Example value |
|---|---|
| Independent groups | A: 4,5,6,7
B: 7,8,9,10
C: 10,11,12,13 |
| Familywise alpha | .05 |
Verified Worked Result
The packaged automated fixture produces the following checked values from the example inputs. Display rounding can differ from the full-precision browser result.
| Result | Verified value |
|---|---|
| Groups | 3 |
| Comparisons | 3 |
| Minimum Adjusted P Value | 0.0068545807254039 |
| Decision | At least one adjusted comparison is significant |
| Pairwise Results | [{"group_a":"A","group_b":"B","z":-1.5252424189681186,"p_value":0.12719868858288885,"adjusted_p_value":0.38159606574866656},{"group_a":"A","group_b":"C","z":-3.0504848379362373,"p_value":0.002284860241801301,"adjusted_p_value":0.006854580725403903},{"group_a":"B","group_b":"C","z":-1.5252424189681186,"p_value":0.12719868858288885,"adjusted_p_value":0.38159606574866656}] |
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
Review the Dunn’s Post Hoc Test estimate or test statistic, uncertainty or p-value where applicable, assumptions, chart and research-question interpretation. In the Dunn’s Post Hoc Test Calculator result workspace, interpret Groups, Comparisons, Minimum Adjusted P Value, Decision together with the method assumptions, warning messages, confidence information, effect magnitude, and diagnostic plots shown for the selected variables.
Do not treat different multiple-comparison procedures as synonyms; each controls error or loss differently and may require a significant omnibus test.
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 Dunn’s Post Hoc Test, the analyzed variables and valid sample size, the principal estimate or statistic, degrees of freedom and p-value or confidence interval where available, assumptions, and a conclusion tied to the research question. A reproducible Dunn’s Post Hoc Test 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 Dunn’s Post Hoc Test Calculator calculate?
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment.
Which formula does the Dunn’s Post Hoc Test Calculator use?
Pairwise mean-rank differences are standardized with tie correction and Bonferroni-adjusted p-values.
When should I use the Dunn’s Post Hoc Test Statistical Calculator?
Run pairwise rank comparisons after a significant Kruskal–Wallis test with multiplicity adjustment.
What formula does the Dunn’s Post Hoc Test Statistical Calculator use?
Pairwise mean-rank differences are standardized with tie correction and Bonferroni-adjusted p-values.
Which variables does the Dunn’s Post Hoc Test Statistical Calculator require?
The upload panel identifies compatible variable types and shows the exact dependent, independent, grouping, paired, time, item, rater or study roles required by this method.
Can the Dunn’s Post Hoc Test Statistical Calculator analyze Excel or CSV data?
Yes. XLSX, CSV, TSV or pasted data are cleaned locally, then selected columns are mapped to this exact calculator and chart.