Calculate Education Sectoral Composite Score and Need Indicators

This function calculates an education sectoral composite score based on various education-related indicators. It computes scores for disrupted education and attendance/barriers, combines them into a total score, and determines if a household is in need or in acute need of educational assistance.

Prerequisite functions:

• add_loop_age_dummy.R

• add_loop_edu_barrier_protection_d.R

• add_loop_edu_disrupted_d.R

• add_loop_edu_ind_age_corrected.R

Usage

add_comp_edu(
  df,
  schooling_age_n = "edu_schooling_age_n",
  no_access_n = "edu_no_access_n",
  barrier_protection_n = "edu_barrier_protection_n",
  occupation_n = "edu_disrupted_occupation_n",
  hazards_n = "edu_disrupted_hazards_n",
  displaced_n = "edu_disrupted_displaced_n",
  teacher_n = "edu_disrupted_teacher_n"
)

Arguments

df

A data frame.

schooling_age_n

Column name for the number of children of schooling age.

no_access_n

Column name for the number of children with no access to education.

barrier_protection_n

Column name for the number of children with barriers to protection.

occupation_n

Column name for the number of children with disrupted education due to the school being occupied by armed groups

hazards_n

Column name for the number of children with disrupted education due to hazards.

displaced_n

Column name for the number of children with disrupted education due to a recent displacement.

teacher_n

Column name for the number of children with disrupted education due to teachers' absence.

Value

A data frame with additional columns:

• comp_edu_score_disrupted: Score for disrupted education (1-4).

• comp_edu_score_attendance: Score for attendance and barriers (1-4)

• comp_edu_score: Total education composite score (max of disrupted and attendance scores).

• comp_edu_in_need: Binary indicator for being in need of educational assistance.

• comp_edu_in_acute_need: Binary indicator for being in acute need of educational assistance.