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Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development. by Friedrich M. Götz; Rakoen Maertens; Sahil Loomba; Sander van der Linden is a Mathematics article available to read on EtoBox.

What is Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development. about?

Measurement is at the heart of scientific research. As many-perhaps most-psychological constructs cannot be directly observed, there is a steady demand for reliable self-report scales to assess latent constructs. However, scale development is a tedious process that requires researchers to produce good items in large quantities. In this tutorial, we introduce, explain, and apply the Psychometric Item Generator (PIG), an opensource, free-to-use, self-sufficient natural language processing algorithm that produces large-scale, humanlike, customized text output within a few mouse clicks. The PIG is based on the GPT-2, a powerful generative language model, and runs on Google Colaboratory-an interactive virtual notebook environment that executes code on state-of-the-art virtual machines at no cost. Across two demonstrations and a preregistered fivepronged empirical validation with two Canadian samples (N Sample 1 = 501, N Sample 2 = 773), we show that the PIG is equally well-suited to generate large pools of face-valid items for novel constructs (i.e., wanderlust) and create parsimonious short scales of existing constructs (i.e., Big Five personality traits) that yield strong performances

Who reads Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.?

Author

Friedrich M. Götz; Rakoen Maertens; Sahil Loomba; Sander van der Linden

Publisher

American Psychological Association (APA)

Published

2023

Language

EN

Field

Mathematics (Physical Sciences)