UPA Package 4, Module 1

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UPA Package 4, Module 1
COLLECTION AND PROCESSING OF HOUSEHOLD DATA
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Collection and Processing of Household Data

• Household data sources
• Household questionnaires
• Sampling methods
• Processing of household data

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Household Data Sources

• National Census (frequency, coverage)
• Regular national household surveys (frequency,
  sample)
• International household surveys (DHS)
• Ad-hoc surveys (research)
• Use of household data in combination with other
  data sources
• DHS Demographic and Health Surveys

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Household Data Sources

• Structured personal interview with standard
  questions (and sequence of questions) similar for
  all respondents (e.g. Census)
• Meaning of questions similar for all households
• Interviewer attitude and experience
• Semi-structured and non-structured interviews

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Household Data Sources

• Advantages of structured personal interviews
• flexibility, high response rate
• Disadvantages
• - costs, interviewer bias (principles of
  interviewing), lack of anonymity
• CENSUS
• frequency (every 10 years), availability (at
  which spatial level), quality/reliability,
  specific (poverty/habitat) data not covered by
  Census, why no traditional Census in the
  Netherlands?

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Household Data Sources

• Other Household data sources
• National Samples
• Demographic and Health Surveys
  (www.measuredhs.com)
• Ad-Hoc surveys (research, Urban Inequities
  UN-Habitat)
• Data mixture (combine surveys with auxiliary
  (large) data sets), small area statistics

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Household Data Sources
Participatory data collection and/or expert
knowledge
Water scarcity in Nakuru/Kenya based on
information from participatory mapping. The
background images are a Landsat image overlaid by
a QuickBird image covering the built-up area.
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Household Questionnaires

• Questions
• Content Facts and Opinions (Subjective
  experience)
• Type Closed and Open-ended questions,
  contingency questions
• Format Categories of possible answers, rating
• Sequence Questions related to previous
  questions

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Household Questionnaires (Example 1)
www.measuredhs.com
questionnaires are available under basic
documentation
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Household Questionnaires

• Avoid bias
• Introduction and covering letter
• Wording
• Leading questions
• Gender
• Threatening questions
• Non-response
• Training/experience of interviewers

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Household Questionnaires (Example 2)
Multiple Indicator Cluster Survey
(MICS) www.childinfo.org
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Household Questionnaires (Example3)
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Household Questionnaires (Example 3)
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Sampling

• Why Sampling
• Total Population and parameters
• Subset Sample and statistics
• Sampling Unit
• Single member of a sampling population
• Sampling frame
• All sampling units

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Sampling

• Sample Domain a representative sample of n
  households for a city
• Sampling Frame a list of e.g. census enumeration
  areas (EAs) with population and household survey
  and census
• Sample Selection select a representative sample
  of households. Develop proportional clusters from
  which the sample of respondents could be drawn.
• Sampling Probabilities

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Sampling Methods

• Probability sampling methods
• Simple random sampling
• Stratified random sampling
• Systematic sampling
• Cluster sampling
• Non-probability sampling methods
• Convenience sampling
• Quota sampling
• Purposive/Focus sampling

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Sampling Size

• Factors influencing sample size
• Standard or sampling error, expected level of
  accuracy
• Sampling results related to parameters values
• Confidence interval and normal distributions
• Sampling distribution
• Non-sampling errors
• Measurement error
• Non response

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Sampling Size

• Sample size s² / (S.E)²
• Sstandard deviation
• S.Estandard error

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Processing of Household Data

• Describing
• Check for errors (obvious mistakes, outliers,
  missing values)
• Statistics, Tables, Graphs, Geo-Visualization
  (mapping)
• Single and composite variables
• Analysis
• Correlations, inductive statistics

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Processing of Household Data

• Describing
• Check for errors (obvious mistakes, outliers,
  missing values)
• Statistics, Tables, Graphs, Geo-Visualization
  (mapping)
• Single and composite variables
• Analysis
• Correlations, inductive statistics

4.1.4 Collection and Processing of Household Data
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