SIMREL

Author: Halil Yurdugul
Contact: yurdugul@hacettepe.edu.tr
Description: SIMREL: A Software for Coefficient Alpha and Its Confidence Intervals With Monte Carlo Studies. The software runs principal component analysis on data set and calculate distribution coefficient alpha. It is a program designed for the simulation of a coefficients and the estimation of its confidence intervals. It runs on two alternatives. In the first one, if SIMREL is run for a single data file, it performs descriptive statistics, principal components analysis (first eigenvalue and the ratio of first and second eigenvalues as an unidimensionality index), and variance analysis of the item scores in the data file. Following this, it derives unstandardized- standardized coefficient alphas and Armor's Theta from the entire data set. In addition, it calculates the confidence interval estimates of coefficient alphas according to the four different approaches. The second alternative in SIMREL utilizes Monte Carlo simulation. It uses the data employed in the first alternative as population data and obtains estimators of each parameter (such as unidimensionality index, coefficient alphas, Armor's theta, and the boundaries of the confidence intervals obtained from population data) using samples at the desired sample size and replication number from the population data. SIMREL also calculates the bias and the root mean squared error (RMSE) of each estimator. More Detail at: SIMREL: A Software for the coefficient alpha and its confidence intervals with Monte Carlo studies, Applied Psychological Measurement, 33(4), 325-32
Analyses: Dimensionality; Factor/Latent Structure
System Requirements: Windows
Measurement Model: Classical
License Type: Open-Source
Documentation: Manual