Audit the codebookItem direction is checked against the data.
Score by explicit rulesReversals and missing-item rules are declared and logged.
Test what you expectScores are checked against relationships you state in advance.

WHAT IS INSIDE

From raw items to documented scores.

Run the synthetic example first, with its deliberately inserted problems, then adapt the codebook and settings to a de-identified working copy of your own data.

01

Import items and a codebook

Read responses conservatively, apply declared missing codes, and validate the codebook for scale, direction, and response range.

02

Screen the responses

Flag out-of-range and unreadable responses, review missingness by item, and keep a record of every change.

03

Audit item direction

Compare inter-item correlations with the codebook and flag items that point the wrong way after reversal.

04

Reverse-score and score scales

Apply the codebook's reversals, then compute mean or sum scores with a missing-item rule you set.

05

Review reliability and export

Report alpha and item statistics, check expected relationships, and export scored data, audit tables, and a scoring log.

DESIGNED FOR DISSERTATION DATA

Make scoring decisions visible.

This workflow is useful when:

  • You have item-level questionnaire data in a CSV file.
  • Your scales include reverse-worded items.
  • You need a documented scoring record for a committee or collaborator.
  • A result surprised you and you want to rule out a scoring error first.

Factor structure, measurement invariance, and validity evidence require a factor-analytic workflow, such as Psychometrics. Messy raw data may need Data Cleaning and Audit first.

OUTPUT-ONLY PUBLIC PREVIEW

Review the complete worked example.

Open full screen ↗
Scale Scoring and Item Analysis · Dissertation Stats Helper

The preview shows outputs and guidance. The paid version includes all editable R Markdown source, reusable scoring functions, and the synthetic-data generator. Source code and session information are omitted from the public preview.

YOUR DIGITAL DOWNLOAD

Run the example.
Set your rules.

The version 1.0.0 ZIP is prepared for Lemon Squeezy delivery.

  • Complete editable R Markdown source
  • Reusable scoring and synthetic-data functions
  • Synthetic item data and an example codebook
  • Worked HTML report and scored-data export
  • Ten audit, scoring, and item-analysis exports plus settings and version records
  • Setup, generation, license, and version documentation

Keep an untouched original and work only with de-identified data. Take item direction and scoring rules from the instrument's manual.

VERSION 1.0.0

Complete workflow.
$39 one time.

Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.