Litcius/Paper detail

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

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

2023Psychological Methods63 citationsDOI

Abstract

= 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 when tested in the wild and benchmarked against current gold standards for assessment. The PIG does not require any prior coding skills or access to computational resources and can easily be tailored to any desired context by simply switching out short linguistic prompts in a single line of code. In short, we present an effective, novel machine learning solution to an old psychological challenge. As such, the PIG will not require you to learn a new language-but instead, speak yours. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Topics & Concepts

Computer scienceScale (ratio)Generator (circuit theory)Process (computing)Code (set theory)Artificial neural networkGenerative grammarArtificial intelligenceMachine learningAlgorithmNatural language processingProgramming languageSet (abstract data type)PhysicsPower (physics)Quantum mechanicsExplainable Artificial Intelligence (XAI)Topic ModelingComputational and Text Analysis Methods