This application is a research questionnaire to measure the effectiveness of vocabulary learning methods based on the Involvement Load Hypothesis (ILH) principles.

It allows users to take a research questionnaire easily and researchers to effortlessly create ILH questionnaires, distribute them globally, and analyze results through interactive data visualizations.

The ILH theory posits vocabulary learning is more effective when it incorporates a higher involvement load - i.e. need, search, and evaluation.

This app measures ILH scores through 3 categories of questionnaire questions:

• Need - the necessity of learning vocabulary
• Search - the effort to understand vocabulary meaning
• Evaluation - assessing vocab knowledge Based on user responses, it calculates category scores and total ILH scores. The results are displayed in a bar chart showing the breakdown and total score.

It enables researchers to quickly evaluate vocab learning methods and iterate on questionnaires.

This is a Next.js project bootstrapped with create-next-app.

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

A live demo is available here:

https://ilh-research.vercel.app/

Try it out by logging in, taking a short questionnaire and seeing the results!

• Answer questions belonging to the 3 ILH categories
• Select answer choices with point values

• Researcher see the results using password: 12345
• Interactive bar chart shows score breakdowns
• Updates in real-time as respondents submit

• Researchers can edit/update questions
• Add/modify answer choices and point values

• Next.js web application
• TypeScript + React
• Tailwind CSS styling
• Vercel hosting
• Neon PostgreSQL database
• Recharts for data visualization

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

This app was created for Ivana Slavikova (ESOL teacher and PhD provisional candidate at Nottingham Trent University) to facilitate her ILH research questionnaire.

Tri Thien Nguyen