srl_strategies: Self-Regulated Learning Strategy Frequencies

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

Self-Regulated Learning Strategy Frequencies

Description

Simulated frequency counts of 9 self-regulated learning (SRL) strategies for 250 university students. Strategies are grouped into three clusters: metacognitive (Planning, Monitoring, Evaluating), cognitive (Elaboration, Organization, Rehearsal), and resource management (Help_Seeking, Time_Mgmt, Effort_Reg). Within-cluster correlations are moderate (0.3–0.6), cross-cluster correlations are weaker.

Usage

srl_strategies

Format

A data frame with 250 rows and 9 columns. Each column is an integer count of how often the student used that strategy.

Examples

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

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