pisaUSA15: student questionnaire data with four variables from the 2015...
In tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Description
Usage
Format
Source
Description
student questionnaire data with four variables from the 2015 PISA for students in the United States
Usage
1
Format
Data frame with columns
#'
- broad_interest
composite measure of students' self reported broad interest
- enjoyment
composite measure of students' self reported enjoyment
- instrumental_mot
composite measure of students' self reported instrumental motivation
- self_efficacy
composite measure of students' self reported self efficacy
...
Source
http://www.oecd.org/pisa/data/
tidyLPA documentation built on Nov. 17, 2021, 5:07 p.m.
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Description Usage Format Source
Description
student questionnaire data with four variables from the 2015 PISA for students in the United States
Usage
1 |
Format
Data frame with columns #'
- broad_interest
composite measure of students' self reported broad interest
- enjoyment
composite measure of students' self reported enjoyment
- instrumental_mot
composite measure of students' self reported instrumental motivation
- self_efficacy
composite measure of students' self reported self efficacy
...
Source
http://www.oecd.org/pisa/data/
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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