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

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
DOI
https://doi.org/10.48529/bh7z-7k14
Producer(s)
David K. Evans, Katrina Kosec
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 26, 2016
Last modified
Aug 26, 2016
Page views
314687
Downloads
23512
  • Study Description
  • Data Description
  • Documentation
  • 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 health facilities in this community? (T5IQ2)

Data file: r1_HHData

Overview

Valid: 1759
Invalid: 5
Minimum: 1
Maximum: 4
Type: Discrete
Decimal: 0
Start: 458
End: 458
Width: 1
Range: 1 - 4
Format: Numeric

Questions and instructions

Literal question
How would you consider the quality of health facilities in this community?
Je, unaonaje ubora wa vituo vya afya katika kijiji hiki?
Categories
Value Category Cases
1 Excellent 96
5.5%
2 Good 1152
65.5%
3 Average 286
16.3%
4 Poor 225
12.8%
Sysmiss 5
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
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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