chatgpt_srl: ChatGPT Self-Regulated Learning Scale Scores

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

ChatGPT Self-Regulated Learning Scale Scores

Description

Scale scores on five self-regulated learning (SRL) constructs for 1,000 responses generated by ChatGPT to a validated SRL questionnaire. Part of a larger dataset comparing LLM-generated responses to human norms across seven large language models.

Usage

chatgpt_srl

Format

A data frame with 1,000 rows and 5 columns:

CSU

Numeric. Comprehension and Study Understanding scale mean.

IV

Numeric. Intrinsic Value scale mean.

SE

Numeric. Self-Efficacy scale mean.

SR

Numeric. Self-Regulation scale mean.

TA

Numeric. Task Avoidance scale mean.

Source

Vogelsmeier, L.V.D.E., Oliveira, E., Misiejuk, K., Lopez-Pernas, S., & Saqr, M. (2025). Delving into the psychology of Machines: Exploring the structure of self-regulated learning via LLM-generated survey responses. Computers in Human Behavior, 173, 108769. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.chb.2025.108769")}

Examples

net <- build_network(chatgpt_srl, method = "glasso",
                     params = list(gamma = 0.5))
net

Nestimate documentation built on April 20, 2026, 5:06 p.m.