inst/shiny/psa/tutoring.md

In jbryer/psa: Applied Propensity Score Analysis with R

Tutoring Dataset

Results from a study examining the effects of tutoring services on course grades.

This dataset is included with the TriMatch package:

data(tutoring, package='TriMatch')

• treat - Treatment indicator.
• Course - The course id the student was enrolled in.
• Grade - The course grade the student earned (4=A, 3=B, 2=C, 1=D, 0=F or W).
• Gender - Gender of the student.
• Ethnicity - Ethnicity of the student, either White, Black, or Other.
• Military - Is the student an active military student.
• ESL - English second language student.
• EdMother - Education level of the mother (1 = did not finish high school; 2 = high school grad; 3 = some college; 4 = earned associate degree; 5 = earned baccalaureate degree; 6 = Earned Master's degree; 7 = earned doctorate).
• EdFather - Education level of the father (levels same as EdMother).
• Age - Age at the start of the course.
• Employment - Employment level at college enrollment (1 = No; 2 = part-time; 3 = full-time).
• Income - Household income level at college enrollment (1 = <25K; 2 = <35K; 3 = <45K; 4 = <55K; 5 = <70K; 6 = <85K; 7 = <100K; 8 = <120K; 9 = >120K).
• Transfer - Number of transfer credits at the start of the course.
• GPA - GPA as of the start of the course.
• GradeCode - Letter grade.
• Level - Level of the course, either Lower or Upper.
• ID - Randomly assigned student ID.

jbryer/psa documentation built on Nov. 17, 2023, 8:21 a.m.