QTEST

QTEST 2.1


QTEST 2.1 is a custom-designed public-domain statistical analysis package for order-constrained inference.

The goal of QTEST 2.1 is to make modeling and quantitative testing accessible to behavioral decision researchers interested in substantive questions. We provide a novel, rigorous, yet very general, quantitative diagnostic framework for testing theories of binary choice. This permits the nontechnical scholar to proceed far beyond traditionally rather superficial methods of analysis, and it permits the quantitatively savvy scholar to triage theoretical proposals before investing effort into complex and specialized quantitative analyses. Our theoretical framework links static algebraic decision theory with observed variability in behavioral binary choice data.

QTEST 2.1 Software


In order to use QTEST 2.1 you will need both an MCR installer and a compiled version of the QTEST 2.1 software program, both of which can be found below. First, download and install the MCR installer. The MCR installer only needs to be installed once on your computer and it must be installed for all platforms. Second, download a compiled version of QTEST 2.1. Whenever you would like to start a new instance of QTEST 2.1, simply open this QTEST 2.1 file.

For Mac, first download and unzip MCRInstaller-Mac.zip. Click on the file InstallForMacOSX and follow the instructions.

After downloading the runtime, download and unzip qtest2.1_mac.zip to install QTEST 2.1 among your applications. Then click on the file called qtest.

For Windows, first download and unzip MCRInstaller-Windows.zip.

After downloading the runtime, download qtest.rar to install QTEST 2.1 among your applications.

Source code can be used directly in MATLAB and requires a valid MATLAB license to run. Before running the source code, install the Optimization Toolbox in MatLab.

QTEST 2.1 Tutorial

A tutorial following the analyses in Zwilling et al., 2019 can be found here.

Release Notes

If publishing results generated by QTEST 2.1, please include the following citation:

QTEST 2.1: Quantitative testing of theories of binary choice using Bayesian inference

Zwilling, C., Cavagnaro, D. R., Regenwetter, M., Lim, S.H., Fields, B., and Zhang, Y. 

Journal of Mathematical Psychology, Volume 91, pp.176-194

and please acknowledge that:

QTEST was developed with support by the National Science Foundation grants SES 10-62045 and SES 14-59699 (PI: M. Regenwetter) as well as by the Humboldt Foundation (Co-PIs: J. Stevens and M. Regenwetter).