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    Home / Central Data Catalog / TZA_2009-2012_CCT_V01_M / variable [F17]
central

Community-Based Conditional Cash Transfer Program Impact Evaluation 2009-2012, Baseline, Midline, and Endline surveys

Tanzania, 2009 - 2012
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Reference ID
TZA_2009-2012_CCT_v01_M
Producer(s)
David K. Evans, Katrina Kosec
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
61867
Downloads
660
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • r1_ConsumptionItem
  • r1_CSCVillage
  • r1_District
  • r1_FoodItem
  • r1_FoodItemUnit
  • r1_FoodUnit
  • r1_HH
    respondents
  • r1_HHAsset
  • r1_HHChild
  • r1_HHChildActivity
  • r1_HHChildAsset
  • r1_HHConsData
  • r1_HHCredit
  • r1_HHData
  • r1_HHEnterprise
  • r1_HHFoodConsData
  • r1_HHGPSData
  • r1_HHLivestock
  • r1_HHMember
  • r1_HHOtherDescription
  • r1_HHPriceData
  • r1_HHPrivTransfers
  • r1_HHSampleRecord
  • r1_HHShock
  • r1_HHTransGroup
  • r2_CCTHHmemberList
  • r2_CCTlisting
  • r2_CHH_LastPay
  • r2_CHHTrachingForm
  • r2_ClusterMaster
  • r2_CMC_previsit
  • r2_CMC_reftables
  • r2_Community
  • r2_ConsItem
  • r2_ConsumptionItem
  • r2_crops
  • r2_Districts
  • r2_Dropped_Households
  • r2_Facilities
  • r2_FoodItem
  • r2_FoodItem_reftables
  • r2_FoodItemUnitsConvertions
  • r2_FoodUnit
  • r2_FoodUnit_reftables
  • r2_HHAsset
  • r2_HHChild
  • r2_HHChildActivity
  • r2_HHChildAsset
  • r2_HHConsData
  • r2_HHCredit
  • r2_HHData
  • r2_HHEnterprise
  • r2_HHFoodConsData
  • r2_HHLivestock
  • r2_HHMember
  • r2_HHMember_reftables
  • r2_HHOtherDescription
  • r2_HHOtherProjects
  • r2_HHPriceData
  • r2_HHPrivTransfer
  • r2_HHQxSpecificComments
  • r2_HHShocks
  • r2_HHTransGroup
  • r2_Interviewers
  • r2_ItemPrice
  • r2_medicines_inTZ
  • r2_None
  • r2_PayAllocation
  • r2_PrevHHData
  • r2_RegionDistricts
  • r2_time
  • r2_TrackingForm
  • r2_CaloricRequirements
  • r3_Assistance
  • r3_Attendance
  • r3_CCTHHmemberList
  • r3_ClusterMaster
  • r3_clusterReport
  • r3_CMCElections
  • r3_COMMENTS_community
  • r3_COMMENTS_health
  • r3_COMMENTS_household
  • r3_COMMENTS_school
  • r3_Committees
  • r3_Community
  • r3_facilities
  • r3_FoodItem
  • r3_FoodItemUnitsConvertions
  • r3_FoodUnit
  • r3_Grade
  • r3_HealthFacility
  • r3_HealthVill
  • r3_HHAsset
  • r3_HHConsDataCatA
  • r3_HHConsDataCatB
  • r3_HHConsDataCatC
  • r3_HHConsDataCatD
  • r3_HHConsDataCatE
  • r3_HHCredit
  • r3_HHData
  • r3_HHEnterprise
  • r3_HHLivestock
  • r3_HHMember
  • r3_HHPrivTransfer
  • r3_HHShocks
  • r3_HHTransGroup
  • r3_ItemPrices
  • r3_Link_HH
  • r3_Link_Ind
  • r3_NationalExams
  • r3_PayAllocation
  • r3_RegionDistricts
  • r3_RespondentEdu
  • r3_RespondentGov
  • r3_RespondentHealth
  • r3_School
  • r3_SchoolVill
  • r3_Teachers
  • r3_TRANSLATIONS_community
  • r3_TRANSLATIONS_health
  • r3_TRANSLATIONS_household
  • r3_TRANSLATIONS_school
  • r3_VGrecords
  • r3_Years

How would you consider the quality of schooling in this community? (T5IQ1)

Data file: r1_HHData

Overview

Valid: 1758
Invalid: 6
Minimum: 1
Maximum: 4
Type: Discrete
Decimal: 0
Start: 457
End: 457
Width: 1
Range: 1 - 4
Format: Numeric

Questions and instructions

Literal question
How would you consider the quality of schooling in this community?
Je, unaonaje ubora wa shule katika kijiji hikii?
Categories
Value Category Cases
1 Excellent 139
7.9%
2 Good 1357
77.2%
3 Average 199
11.3%
4 Poor 63
3.6%
Sysmiss 6
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.
Interviewer instructions
Here you are supposed to read all the responses to the respondent. Leave the respondent to make the final decision DO NOT lead the respondent by telling him/her the indicators of good education.

Please DO NOT lead the respondent on what qualities to look at. If the respondent thinks quality is having good buildings THEN that is what the response will be based on. DO NOT ask him questions such as "Are there any
teachers?", " Do children have books?" etc. Let the respondent measure quality the way he thiks about it. Even if you think his measures are wrong YOUR answer should still be based on his response ONLY.
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