pisaUSA15: student questionnaire data with four variables from the 2015...
In jrosen48/tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
pisaUSA15 R Documentation
student questionnaire data with four variables from the 2015 PISA for students in the United States
Description
student questionnaire data with four variables from the 2015 PISA for students in the United States
Usage
pisaUSA15
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/
jrosen48/tidyLPA documentation built on Feb. 23, 2024, 11:33 p.m.
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| pisaUSA15 | R Documentation |
student questionnaire data with four variables from the 2015 PISA for students in the United States
Description
student questionnaire data with four variables from the 2015 PISA for students in the United States
Usage
pisaUSA15
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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