What is the reliability of each scale?
ReliCheck answers
Cronbach's alpha, McDonald's omega, and split-half reliability per scale, each with confidence intervals. Reported in the methods appendix without rewriting.
Researcher Suite
Defend your instrument before peer review does.
ReliCheck helps researchers, evaluators, and graduate students validate and document their survey instrument before submission, defense, or review. Reliability, factor structure, item quality, and methods language are checked in one dashboard, so the evidence your reviewer, committee, or co-author will ask for is ready before they ask.
What peer review actually asks
The questions reviewers usually ask. Already prepared.
Every study that uses a survey or a scale gets the same family of methodological questions in review. Whether the reviewer reads carefully or skims, the questions arrive. ReliCheck prepares the evidence for each one before you submit.
Does the factor structure support the theoretical model?
ReliCheck answers
Exploratory factor analysis on the data and confirmatory factor analysis on a proposed model, with the fit indices the reviewer expects (CFI, TLI, RMSEA, SRMR).
Did you check measurement invariance across groups?
ReliCheck answers
Multi-group CFA at configural, metric, and scalar levels, with delta CFI and RMSEA reported. The verdict on whether group comparisons are defensible appears in plain language.
How did you handle reverse-scored items?
ReliCheck answers
Reverse-coding is flagged at the item level and applied automatically to composite scores. The methods appendix names each reverse-coded item explicitly.
What about item-level performance?
ReliCheck answers
Item-total correlations, item difficulty, and discrimination flagged with thresholds drawn from the literature. Weak items surface with a recommended action and a citation pointer.
Where is your methods appendix?
ReliCheck answers
An auto-generated methods-language paragraph sits at the bottom of the analysis. Edit, then paste into the manuscript. Sample size, missing-data handling, and the analytic plan are filled in from the actual dataset.
The methods section writes itself when the methods work has already been done.
What ReliCheck takes off your plate
The psychometric audit your committee expects. Run automatically.
The work many studies leave until the final week happens inside the dashboard as the data are analyzed: reliability tables, factor structure, item analysis, and methods language.
Run by clicking, not by syntax
Reliability, factor structure, item analysis, and group comparisons that take a week in SPSS or R appear immediately on upload. Rerun anytime as new responses arrive.
Built to align with R, SPSS, and SAS
ReliCheck documents the formulas, assumptions, and implementation choices behind each statistic, with outputs designed to align with standard R, SPSS, and SAS workflows. Methodologists can audit the math.
Read the published methodologyMethodology you can cite
ReliCheck publishes every formula, assumption, and implementation choice behind every number. The methods appendix points to the methodology page for a full audit trail.
From data to defensible methods
How raw survey data becomes a methods section.
Most platforms stop at raw responses. ReliCheck carries the workflow through validation, documentation, and submission-ready methods.
Stage 1
Raw responses
The dataset arrives from Qualtrics, SurveyMonkey, Google Forms, or your own export. Items are labeled, reverse-coded items are marked, missing data is present, and nothing is yet validated as a measurement instrument.
Stage 2
Validated instrument
ReliCheck audits reliability, factor structure, item quality, and measurement invariance. Edge cases are flagged with thresholds drawn from the literature. The instrument either holds, holds with caveats, or needs revision before the next administration.
Stage 3
Submission-ready methods
The methods appendix is generated. Reliability and factor tables are formatted to APA conventions. SPSS, R, and Stata bundles export cleanly. A reviewer reading the supplementary materials finds what they came for.
In the platform
A psychometric audit built around your dataset.
The analyses you would expect from a methodologist, run automatically and exported in the formats peer review accepts.
Core validation
Alpha, omega, split-half with confidence intervals
Per-scale reliability across the metrics journals expect, with 95% CIs. Item-if-deleted analyses flag the items pulling reliability down. Test-retest is supported when waves are present.
Exploratory and confirmatory factor analysis
EFA with KMO and Bartlett's test of sphericity. CFA against a proposed model with CFI, TLI, RMSEA, and SRMR. Loadings are exportable as an APA-style table.
Item-total correlations, discrimination, and reverse-coding flags
Item-total correlations with configurable threshold flags, including commonly used 0.20 guidance. Discrimination and item-if-deleted analyses surface weak items. Reverse-scored items are flagged and applied automatically to composites.
Multi-group CFA across configural, metric, and scalar
Configural, metric, and scalar invariance with delta CFI and RMSEA reported. Until scalar invariance holds, comparing group means is flagged as not yet defensible.
Optional advanced analysis
t-tests, ANOVA, and non-parametric alternatives
Welch's t-test, one-way ANOVA, Mann-Whitney U, and Kruskal-Wallis H with Cohen's d, eta-squared, and confidence intervals. Useful when the study extends beyond instrument validation to group inference.
Bootstrap CIs and mixed-effects models
Bootstrap mediation with percentile and BCa intervals, moderation with Johnson-Neyman, and two- or three-level mixed-effects models when responses are nested. Available when the analytic plan calls for that depth.
What you submit
The deliverables researchers export from ReliCheck.
Every analysis produces an artifact ready for the manuscript, the supplementary materials, or the methodologist on your committee. The math is exposed; the writing is editable; the exports are standard.
Auto-generated methods-language paragraph
A two-to-three paragraph methods write-up. Sample size, missing-data handling, instrument reliability, and analytic plan are filled in from the dataset. Edit, then paste into the manuscript.
APA-style reliability and factor tables
Per-scale reliability with CIs. Factor loadings with cross-loadings called out. Formatted to APA conventions, copyable into the manuscript with the table notes intact.
SPSS .sav, R, and Stata exports
SPSS .sav with variable and value labels. R bundle (CSV plus an .R script with reverse-scoring applied). Stata bundle (CSV plus .do file). Reviewers and co-authors can rerun the analysis without rebuilding the dataset.
Per-respondent scored composites
Raw responses plus computed composite scores with reverse-coding applied. The dataset a downstream analyst would expect, with the construct definitions documented.
Reproducibility appendix
The formulas, the statistical assumptions, the implementation choices, and (where applicable) the random seeds for bootstrapped CIs. The methodologist on your committee can replicate the numbers from this document.
Start your workflow
Start with the path that fits your study.
Whether you already have data and need to defend the instrument, want to build a new scale from scratch, want to adapt an existing scale for a different context, or want to see the methods appendix that comes out the other side, ReliCheck gives your study a clear next step.
Path 01
Validate an existing instrument
Upload data from Qualtrics, SurveyMonkey, Google Forms, or your own export. Reliability, factor structure, item analysis, and the methods appendix appear immediately.
Path 02Build a new scale from scratch
Start from a validated template or generate items from a theoretical construct. The builder runs a pre-pilot readiness check and a post-pilot reliability audit on the same dataset.
Path 03Adapt and revalidate a scale
Translate, modify, or culturally adapt an existing scale. ReliCheck checks whether reliability and structure hold after the change, with invariance testing when comparison is the goal.
Path 04Preview a researcher sample report
See the kind of psychometric audit and methods appendix ReliCheck produces on a real instrument, end to end.
Defend your instrument before the reviewer does.
Start free, upload an existing dataset, or preview a researcher report and see the methods appendix that comes out the other side.