srl: Self-regulated learning intensive longitudinal data (Chapter...
In idiographic: Person-Specific (Idiographic) and Heterogeneous Complex Networks
srl R Documentation
Self-regulated learning intensive longitudinal data (Chapter 20)
Description
The self-regulated learning (SRL) experience-sampling data used in the
Learning Analytics Methods book, Chapter 20 (Vector Autoregression). Each of
36 students reported nine self-regulated-learning indicators once per study
occasion for 156 occasions, giving a balanced person-by-time panel suitable
for the idiographic time-series methods in this package.
Usage
srl
Format
A data.frame with 5616 rows and 11 columns:
- name
Student name (36 unique students).
- day
Within-person occasion index, 1-156.
- efficacy
Self-efficacy.
- value
Task value.
- planning
Planning.
- monitoring
Monitoring.
- effort
Effort regulation.
- control
Control of learning.
- help
Help seeking.
- social
Social support.
- organizing
Organizing.
Details
The columns have already been tidied for modelling: rows are ordered by
name then day, and day is a within-person occasion index (1-156) you can
pass as the time argument to fit_usem() and fit_gimme(). No further
ordering, indexing, or column selection is needed before fitting a model.
Source
Learning Analytics Methods, Book 2, Chapter 20 (VAR):
https://lamethods.org/book2/chapters/ch20-var/ch20-var.html. Original
data: https://github.com/lamethods/data2/raw/main/srl/srl.RDS,
licensed under CC BY-NC-SA 4.0. See the package COPYRIGHTS file for
attribution and transformation details.
Examples
data(srl)
summary(srl)
head(srl)
idiographic documentation built on Aug. 4, 2026, 1:07 a.m.
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| srl | R Documentation |
Self-regulated learning intensive longitudinal data (Chapter 20)
Description
The self-regulated learning (SRL) experience-sampling data used in the Learning Analytics Methods book, Chapter 20 (Vector Autoregression). Each of 36 students reported nine self-regulated-learning indicators once per study occasion for 156 occasions, giving a balanced person-by-time panel suitable for the idiographic time-series methods in this package.
Usage
srl
Format
A data.frame with 5616 rows and 11 columns:
- name
Student name (36 unique students).
- day
Within-person occasion index, 1-156.
- efficacy
Self-efficacy.
- value
Task value.
- planning
Planning.
- monitoring
Monitoring.
- effort
Effort regulation.
- control
Control of learning.
- help
Help seeking.
- social
Social support.
- organizing
Organizing.
Details
The columns have already been tidied for modelling: rows are ordered by
name then day, and day is a within-person occasion index (1-156) you can
pass as the time argument to fit_usem() and fit_gimme(). No further
ordering, indexing, or column selection is needed before fitting a model.
Source
Learning Analytics Methods, Book 2, Chapter 20 (VAR):
https://lamethods.org/book2/chapters/ch20-var/ch20-var.html. Original
data: https://github.com/lamethods/data2/raw/main/srl/srl.RDS,
licensed under CC BY-NC-SA 4.0. See the package COPYRIGHTS file for
attribution and transformation details.
Examples
data(srl)
summary(srl)
head(srl)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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