In two studies, we examine the relationship between self-reported everyday activities and SWB, while allowing individuals to express their activities freely by allowing open-ended responses that were then analyzed with state-of-the-art (transformers-based) Natural Language Processing.
We show that using a recent break-through in artificial intelligence –transformers–, psychological assessments from text-responses can approach theoretical upper limits in accuracy, converging with standard psychological rating scales..
This tutorial introduces how to use state-of-the-art AI techniques in both custom research analyses as well as in completely end-to-end analytic processes in R.
An `r-package` for analyzing text using NLP and deep learning.
Measuring psych constructs with words analyzed with AI...
We develop an approach using open-ended questions in which the responses are analyzed using natural language processing.
We developed the Harmony in Life Scale (HILS) emphasizing psychological balance and flexibility in life.
We suggest that the use of computerized methods to quantify and analyze text can be an important tool to move the affective profiles model into the era of big text data
My Open Science Framework Profile.
We used a computational method to quantitatively investigate the relationship between personality and written narratives of life events.