India - Survey of disabled persons, July 2002 - Dec 2002, NSS 58th Round
Reference ID | DDI-IND-MOSPI-NSSO-58Rnd-Sch26-July2002-Dec2002 |
Year | 2002 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) |
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
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108968
Sub sample
(Sub_sample)
File: Blocks 1,3_Household characteristics
File: Blocks 1,3_Household characteristics
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 70302 Invalid: 0 |
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.
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.
Value | Category | Cases | |
---|---|---|---|
1 | Central sample | 35447 | 50.4% |
2 | State sample | 34855 | 49.6% |
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.