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Audit before modelingCheck coding, reverse scoring, missingness, and response use.
Validate the structureConnect parallel analysis and EFA to an ordinal CFA.
Compare groups carefullyTest invariance before interpreting group differences.

WHAT IS INSIDE

A connected measurement workflow.

The package treats reliability, dimensionality, invariance, and scoring as related decisions rather than isolated output tables.

01

Audit item responses

Verify ranges, missingness, reverse scoring, floor and ceiling rates, and corrected item-total patterns.

02

Estimate reliability

Calculate ordinal alpha and omega with bootstrap uncertainty and item-level diagnostics.

03

Explore dimensionality

Compare Pearson and polychoric correlations, run parallel analysis, and fit an oblique EFA.

04

Confirm the factor model

Fit an ordinal WLSMV CFA and review global fit, standardized loadings, and local diagnostics.

05

Test measurement invariance

Compare configural, metric, scalar, partial scalar, and strict models across groups.

06

Decide whether to score

Review convergent and discriminant evidence, document score rules, and generate dynamic reporting text.

DESIGNED FOR DOCTORAL RESEARCH

Use it when the quality of a multi-item measure is part of the research argument.

This workflow is useful when:

  • You are developing, adapting, or validating a Likert-type measure.
  • You need reliability estimates with uncertainty rather than one coefficient.
  • You need EFA and CFA decisions documented in one report.
  • You plan to compare scores across programs or demographic groups.
  • You need a reproducible scoring and reporting trail for committee review.

Longitudinal, multilevel, bifactor, item-response, formative, and high-stakes classification models require extensions beyond this introductory workflow.

PUBLIC PREVIEW

Review the complete analysis output.

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Reliability, Factor Analysis & Measurement Invariance · Public Preview

The public preview shows analysis output, figures, decision guidance, and dynamic reporting. The paid package will include the complete editable R Markdown source, all analysis code, synthetic data, documentation, and reusable exports.

THE DOWNLOADABLE PACKAGE

Designed to run first
and adapt second.

The synthetic example contains known psychometric strengths and problems, including reverse-keyed items, modest missingness, a weak item, partial scalar invariance, and a strict-invariance limitation.

  • Editable R Markdown source and rendered report
  • Documented multi-group synthetic Likert dataset
  • Package installer and RStudio project
  • Ordinal alpha and omega with bootstrap intervals
  • Parallel analysis, EFA, and ordinal CFA
  • Five-level measurement-invariance sequence
  • Validity and score-decision tables
  • Accessible figures and reusable CSV exports
  • Start guide, data-generation notes, and individual license

The workflow supports analysis and documentation. Final measurement decisions remain the researcher's responsibility and should be reviewed with the dissertation advisor, committee, or a qualified psychometrician.

VERSION 1.0

Complete workflow.
$59 one time.

Pay securely and receive access to the version 1.0 ZIP with the editable analysis, synthetic data, documentation, rendered report, and reusable exports.

Purchase for $59 Review purchase terms