college: College datasets

In plspm: Partial Least Squares Path Modeling (PLS-PM)

College datasets

Description

Dataset with different scores (high school, undergrad basic, undergrad intermediate, and GPA) of graduated college student in life sciences majors

Usage

data(college)

Format

A data frame with 352 students on the following 13 variables. The variables may be used to construct four suggested latent concepts: 1) HighSchool=High School related scores, 2) Basic=scores of basic courses, 3) InterCourse=Scores of intermediate courses, 4) GPA=Final GPA (Graduate Point Average)

Num	Variable	Description	Concept
1	HS_GPA	High School GPA	HighSchool
2	SAT_Verbal	Verbal SAT score	HighSchool
3	SAT_Math	Math SAT score	HighSchool
4	Biology1	Introductory Biology	BasicCourses
5	Chemistry1	Introductoy Chemistry	BasicCourses
6	Math1	Calculus 1	BasicCourses
7	Physics1	Introductory Physics	BasicCourses
8	Biology2	Intermediate Biology	InterCourses
9	Chemistry2	Intermediate Chemistry	InterCourses
10	Math2	Calculus 2	InterCourses
11	Physics2	Intermediate Physics	InterCourses
12	FinalGPA	Graduation GPA	FinalGPA
13	Gender	Gender	none

Examples

# load data
data(college)

# take a peek
head(college)

plspm documentation built on June 22, 2024, 11:29 a.m.