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

We provide installation for Mac OS (Intel-based) and Windows. We also provide the QTEST source code for users who would like to use the functions directly in Matlab. Please note that this download is data intensive and benefits from a fast internet pipeline. Your machine will need approximately 2GB of storage to complete the installation process.

Unfortunately, our software is not currently compatible with newer Macs that have M1 chips or later. We will be providing a version compatible with newer Macs soon.

QTEST 2.1 Tutorial

A tutorial following the analyses in Zwilling et al., 2019 can be found here. The corresponding tutorial files referenced throughout this document can be found here.

Release Notes

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

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).