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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [V1675]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files

Kenya, 2004
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Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/6x0c-5y08
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
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  • aghead_a
  • aghead_b
  • aghead_c
  • aghead_d
  • aghead_e
  • aghead_e1_2
  • agspouse_a
  • agspouse_b
  • agspouse_c
  • agspouse_c_2
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I12
  • assets_I17
  • assets_II
  • assets_II5
  • assets_II11
  • assets_III
  • assets_III7
  • assets_III13
  • assets_IV
  • assets_V
  • assets_V6
  • assets_V12
  • assets_VI
  • behavior
  • behavior_c5
  • education
  • educexp
  • enterprise
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hh_roster
  • identification
  • income
  • iroster
  • othexp
  • polygamoushh
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_a27
  • shocks_b30
  • shocks_b33
  • shocks_b36
  • shocks_b40
  • shocks_c44
  • shocks_c49
  • shocks_c53
  • timealloc
  • transfers
  • transfers_a3
  • transfers_a9
  • transfers_a16
  • transfers_b3
  • transfers_d
  • youth

7. Terms of school missed in 2003 & 2004 (y07)

Data file: youth

Overview

Valid: 177
Invalid: 190
Type: Discrete
Decimal: 0
Width: 1
Range: 0 - 4
Format: Numeric

Questions and instructions

Literal question
How many terms of school have you missed in 2003 and 2004?
Categories
Value Category Cases
0 1
0.6%
1 Less than one term 152
85.9%
2 One term 16
9%
3 Two terms 1
0.6%
4 Three terms 7
4%
Sysmiss 190
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
If answer is 1 > Go to 9 (y09 - variable name in dataset).
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