big_word_club dataset

Big Word Club (BWC)

Big Word Club (BWC)

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. data

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/.

big_word_club
  • Maintainer: Mine Dogucu
  • License: GPL (>= 3)
  • Last published: 2021-09-25

About the dataset

  • Number of rows: 818
  • Number of columns: 32
  • Class: data.frame

Column names and types (First 10)

  • participant_id:integer
  • treat:integer
  • age_months:integer
  • female:integer
  • kindergarten:integer
  • teacher_id:integer
  • school_id:factor
  • private_school:integer
  • title1:integer
  • free_reduced_lunch:integer