Psychometric

A TypeScript-compatible package offering a comprehensive suite of psychometric functions. This library includes methods for correlation coefficients, error calculations, reliability estimates, and validity measures, making it ideal for psychometricians and data scientists working with psychological and educational assessments.

Installation

Install the package via npm:

npm install psychometric

Usage

Import specific functions based on your needs. Below is an overview of the modules available in this package:

Modules

Correlation

Functions to calculate various correlation coefficients.

• pearsonCorrelationCoefficient: Calculates the Pearson correlation coefficient.
• phiCoefficient: Calculates the phi coefficient for binary data.
• pointBiserialCorrelation: Calculates the point-biserial correlation between a binary and a continuous variable.
• spearmanRankCorrelationCoefficient: Calculates the Spearman rank correlation coefficient.

Example:

const { pearsonCorrelationCoefficient } = require('psychometric');
const correlation = pearsonCorrelationCoefficient([1, 2, 3], [4, 5, 6]);
console.log(correlation);

Error

Functions to compute various error estimates, including confidence intervals and margin of error.

• confidenceInterval: Calculates confidence intervals for a dataset.
• marginOfError: Computes the margin of error given a standard deviation, sample size, and z-score.
• standardErrorEstimate: Calculates the Standard Error of Estimate (SEE).
• standardErrorMean: Calculates the Standard Error of the Mean (SEM).

Example:

const { marginOfError } = require('psychometric');
const moe = marginOfError(10, 100);
console.log(moe);

Reliability

Functions for assessing the reliability of measurements.

• alternateFormsReliability: Calculates reliability for alternate forms of a test.
• cronbachsAlpha: Computes Cronbach's Alpha for internal consistency.
• interRaterReliability: Measures reliability between different raters.
• parallelFormsReliability: Calculates reliability for parallel test forms.
• splitHalfReliability: Estimates reliability using split-half method.
• testRetestReliability: Measures reliability over time (test-retest reliability).

Example:

const { cronbachsAlpha } = require('psychometric');
const alpha = cronbachsAlpha([/* your data */]);
console.log(alpha);

Validity

Functions to assess the validity of test measures.

• constructValidity: Assesses construct validity.
• criterionRelatedValidity: Evaluates criterion-related validity.

Example:

const { constructValidity } = require('psychometric');
const validity = constructValidity([/* your data */]);
console.log(validity);

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

This project is licensed under the MIT License.