big_word_club: Big Word Club (BWC)

In mdogucu/bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book

Big Word Club (BWC)

Description

Data on the effectiveness of a digital learning program designed by the Abdul Latif Jameel Poverty Action Lab (J-PAL) to address disparities in vocabulary levels among children from households with different income levels.

Usage

big_word_club

Format

A data frame with 818 student-level observations and 31 variables:

participant_id

unique student id

treat

control group (0) or treatment group (1)

age_months

age in months

female

whether student identifies as female

kindergarten

grade level, pre-school (0) or kindergarten (1)

teacher_id

unique teacher id

school_id

unique school id

private_school

whether school is private

title1

whether school has Title 1 status

free_reduced_lunch

percent of school that receive free / reduced lunch

state

school location

esl_observed

whether student has ESL status

special_ed_observed

whether student has special education status

new_student

whether student enrolled after program began

distracted_a1

student's distraction level during assessment 1 (0 = not distracted; 1 = mildly distracted; 2 = moderately distracted; 3 = extremely distracted)

distracted_a2

same as distracted_a1 but during assessment 2

distracted_ppvt

same as distracted_a1 but during standardized assessment

score_a1

student score on BWC assessment 1

invalid_a1

whether student's score on assessment 1 was invalid

score_a2

student score on BWC assessment 2

invalid_a2

whether student's score on assessment 2 was invalid

score_ppvt

student score on standardized assessment

score_ppvt_age

score_ppvt adjusted for age

invalid_ppvt

whether student's score on standardized assessment was invalid

t_logins_april

number of teacher logins onto BWC system in April

t_logins_total

number of teacher logins onto BWC system during entire study

t_weeks_used

number of weeks of the BWC program that the classroom has completed

t_words_learned

teacher response to the number of words students had learned through BWC (0 = almost none; 1 = 1 to 5; 2 = 6 to 10)

t_financial_struggle

teacher response to the number of their students that have families that experience financial struggle

t_misbehavior

teacher response to frequency that student misbehavior interferes with teaching (0 = never; 1 = rarely; 2 = occasionally; 3 = frequently)

t_years_experience

teacher's number of years of teaching experience

score_pct_change

percent change in scores before and after the program

Source

These data correspond to the following study: Ariel Kalil, Susan Mayer, Philip Oreopoulos (2020). Closing the word gap with Big Word Club: Evaluating the Impact of a Tech-Based Early Childhood Vocabulary Program. Data was obtained through the was obtained through the Inter-university Consortium for Political and Social Research (ICPSR) https://www.openicpsr.org/openicpsr/project/117330/version/V1/view/.

mdogucu/bayesrules documentation built on April 23, 2022, 2:46 a.m.