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central

World Health Survey 2003

Norway, 2003
Reference ID
NOR_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
1053
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • Blocks 1,3 and
    10 - Household
    Characteristics
  • Block 4 -
    Person records
  • Block 5 -
    Monthly
    household
    expenditure on
    food and non
    food items
  • Block 6pt1 -
    Monthly
    household
    expenditure on
    clothing,
    bedding etc
  • Block 6pt2 -
    Household
    expenditure on
    clothing,
    bedding etc
  • Block 7pt1 -
    Monthly
    household
    expenditure on
    footwear
  • Block 7pt 2 -
    Household
    expenditure on
    footwear
  • Block 8 -
    Monthly
    household
    expenditure on
    misc goods and
    services
  • Block 9pt1 -
    Monthly
    household
    expenditure for
    purchase of
    durables
  • Block 9pt2 -
    Household
    expenditure for
    purchase of
    durables
CSV JSON

Sub Sample (SubSample)

Data file: Block 4 - Person records

Overview

Valid: 0
Invalid: 0
Type: Discrete
Format:

Questions and instructions

Literal question
Sub Sample
Categories
Value Category
1 Central sample
2 State sample
8 Invalid
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.

Description

Definition
An important feature of the NSS sampling design is that the total sample of first stage units is drawn in the form of two or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is drawn by the same
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows the margin of uncertainty associated with the combined sample estimate.

Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.
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