Meta-Analysis
Meta-regression Statistical Calculator
Meta-Regression Calculator regress study effect estimates on one moderator using inverse-variance random-effects weights. Use the tabbed test workspace below for data, variables, analysis, visualizations, results, interpretation and reporting.
Quick method summary
The meta-regression statistical calculator regress study effect estimates on one moderator using inverse-variance random-effects weights.
Meta-Regression 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 Meta-Regression Calculator, map Study effect estimates, Study standard errors, Study moderator values 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.
Meta-Regression Calculator Workspace Features
- Dedicated Meta-Regression Calculator variable mapping, calculation contract, result explanation, and diagnostics
About the Meta-Regression Calculator
Regress study effect estimates on one moderator using inverse-variance random-effects weights. This calculator applies the displayed method to the requested inputs and reports the intermediate values used in the result.
When to Use the Meta-Regression Calculator
Regress study effect estimates on one moderator using inverse-variance random-effects weights.
How the Meta-Regression Calculator Works
Weighted least squares fits effect=beta0+beta1*moderator using inverse within-study plus residual heterogeneity variance.
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
- Study effect estimates (required)
- Study standard errors (required)
- Study moderator values (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:
- Studies
studies - Intercept
intercept - Moderator Coefficient
moderator_coefficient - Standard Error
standard_error - Z Statistic
z_statistic - P Value
p_value - Residual Tau Squared
tau_squared
Meta-Regression 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 |
|---|---|
| Study effect estimates | .12,.25,.08,.31,.18,.36 |
| Study standard errors | .05,.08,.04,.09,.06,.10 |
| Study moderator values | 0,1,0,1,2,2 |
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 Meta-Regression Calculator result workspace, interpret Studies, Intercept, Moderator Coefficient, Standard Error, Z Statistic, P Value 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 Meta-Regression 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 Meta-Regression Calculator calculate?
Regress study effect estimates on one moderator using inverse-variance random-effects weights.
Which formula does the Meta-Regression Calculator use?
Weighted least squares fits effect=beta0+beta1*moderator using inverse within-study plus residual heterogeneity variance.
What does the meta-regression statistical calculator calculate?
Regress study effect estimates on one moderator using inverse-variance random-effects weights.
Can the meta-regression 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 meta-regression 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 meta-regression statistical calculator result?
Report the method, variables, sample information, estimate or statistic, uncertainty, p-value where applicable, assumptions, and conclusion.