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    Home / Central Data Catalog / BRA_1991_WVS-W2_V01_M / variable [F1]
central

World Values Survey 1991, Wave 2

Brazil, 1991 - 1992
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Reference ID
BRA_1991_WVS-W2_v01_M
Producer(s)
Carlos Matheus
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
8586
Downloads
99
  • Study Description
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  • Data files
  • WV2_Data_Brazil_1991_Spss_v20180912.sav

Weight (V376)

Data file: WV2_Data_Brazil_1991_Spss_v20180912.sav

Overview

Valid: 1782
Invalid: -
Minimum: 0.0816004
Maximum: 4.6206233
Type: Discrete
Decimal: 7
Start: 851
End: 859
Width: 9
Range: 0.0816004 - 4.6206233
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-5 Missing; Unknown; Inappropiate 0
0%
-4 Not asked 0
0%
-3 Not applicable 0
0%
-2 No answer 0
0%
-1 Don´t know 0
0%
0.0816004 2
0.1%
0.1632008 7
0.4%
0.2142011 7
0.4%
0.2754014 3
0.2%
0.3264016 29
1.6%
0.3774019 8
0.4%
0.4182021 12
0.7%
0.4386022 12
0.7%
0.4692024 19
1.1%
0.4998025 4
0.2%
0.5304027 16
0.9%
0.5508028 12
0.7%
0.5610028 8
0.4%
0.591603 23
1.3%
0.6120031 12
0.7%
0.6324032 10
0.6%
0.6426032 27
1.5%
0.6528033 12
0.7%
0.6630033 16
0.9%
0.6834035 10
0.6%
0.6936035 6
0.3%
0.7140036 14
0.8%
0.7344037 25
1.4%
0.7548038 27
1.5%
0.7752039 43
2.4%
0.8058041 18
1%
0.8160041 48
2.7%
0.8262042 13
0.7%
0.8364042 46
2.6%
0.8466043 20
1.1%
0.8670044 80
4.5%
0.8874045 19
1.1%
0.9078046 5
0.3%
0.9180046 56
3.1%
0.9282047 15
0.8%
0.9384047 26
1.5%
0.9486048 26
1.5%
0.9690049 62
3.5%
0.9792049 16
0.9%
0.999605 85
4.8%
1 Unweighted 0
0%
1.0200052 24
1.3%
1.0302052 11
0.6%
1.0506053 91
5.1%
1.0608054 172
9.7%
1.0710054 40
2.2%
1.0812055 30
1.7%
1.0914055 4
0.2%
1.1016056 14
0.8%
1.1118056 67
3.8%
1.1220057 114
6.4%
1.1322057 13
0.7%
1.1730059 88
4.9%
1.2036061 5
0.3%
1.2240062 16
0.9%
1.2648064 7
0.4%
1.2852065 6
0.3%
1.3362067 5
0.3%
1.3464068 36
2%
1.3566069 14
0.8%
1.387207 4
0.2%
1.3974071 12
0.7%
1.4178072 20
1.1%
1.4280072 6
0.3%
1.5096076 8
0.4%
1.581008 5
0.3%
1.6320082 7
0.4%
1.6728084 4
0.2%
1.8462093 5
0.3%
1.8972096 9
0.5%
1.9482098 5
0.3%
1.9686099 4
0.2%
2.0094101 6
0.3%
2.0604104 10
0.6%
2.3460118 10
0.6%
2.6826135 2
0.1%
3.1926161 1
0.1%
3.3558169 2
0.1%
3.5292178 1
0.1%
3.8658195 2
0.1%
4.5390229 1
0.1%
4.6206233 2
0.1%
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
This weight factor compensates for various features of sampling in givein countries, to make the samples replicate the national population parameters more closely. For example, the 1981 surveys in Western Europe, the United States, Canada and Mexico oversampled (by approximately 50 percent) the youngest group aged 16-24. These respondents receive proportionately less weight in this variable. The samples from China, India, Nigeria undersample the illiterate and rural portions of the public and oversample the more educated and urban portions; the weight variable is designed to correct for this problem by giving greater weight to the less educated. Both the 1981 and 1990 South
African samples were stratified by race, interviewing
approximately as many whites as Blacks; the weight variable
corrects for this. This variable also corrects for obvious deviations from national population parameters in age and education in other countries. In most cases, the more highly educated are oversampled, and are accordingly weighted less heavily than the less educated. In the 1990 Italian sample, however, the more educated are substantially undersampled, and are weighted more heavily to compensate for it.
Finally, the 1990 Spanish sample has a much larger N than most other samples, which would give it disproportionate importance in any analysis involving pooled samples; it is down-weighted. Similarly, this study includes many small countries, and their combined Ns would far outweigh the results from the larger countries: unweighted, the Nordic countries plus the Baltic countries would outweigh India, China, the United States and Russia. This weight factor gives greater weight to the more populous countries than to the less populous ones, so that pooled analyses (which are often convenient) more closely approximate global reality. The weighted N of the combined 67 surveys assembled here is 89,672, as compared with the unweighted N of 89,909.
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