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    Home / Central Data Catalog / HUN_2009_WVS-W5_V01_M / variable [F2]
central

World Values Survey 2009, Wave 5

Hungary, 2009
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Reference ID
HUN_2009_WVS-W5_v01_M
Producer(s)
István György Tóth, Tamás Keller, Anikó Balogh
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
7869
Downloads
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  • WV5_Data_Hungary_2009_Spss_v20180912

Weight (V259)

Data file: WV5_Data_Hungary_2009_Spss_v20180912

Overview

Valid: 1007
Invalid: 0
Minimum: 0.595
Maximum: 3.862
Type: Discrete
Decimal: 6
Start: 732
End: 739
Width: 8
Range: 0 - 3.861844
Format: Numeric
Weighted: Yes

Questions and instructions

Categories
Value Category Cases
0 Undefined 0
0%
0.595273 13
1.3%
0.663533 12
1.2%
0.664421 6
0.6%
0.671619 5
0.5%
0.701433 18
1.8%
0.725706 14
1.4%
0.726156 46
4.6%
0.740916 6
0.6%
0.745789 6
0.6%
0.770938 49
4.9%
0.773535 19
1.9%
0.803199 9
0.9%
0.808064 22
2.2%
0.816394 17
1.7%
0.816915 16
1.6%
0.826629 11
1.1%
0.830131 11
1.1%
0.838565 64
6.4%
0.850135 24
2.4%
0.851449 11
1.1%
0.887288 47
4.7%
0.899143 25
2.5%
0.909762 2
0.2%
0.912658 51
5.1%
0.962017 39
3.9%
0.964385 48
4.8%
0.965136 9
0.9%
0.983222 8
0.8%
0.988101 31
3.1%
1 No weighting 0
0%
1.023483 17
1.7%
1.032381 6
0.6%
1.044152 34
3.4%
1.045615 30
3%
1.071823 9
0.9%
1.10151 40
4%
1.107565 40
4%
1.111849 9
0.9%
1.137911 7
0.7%
1.202889 4
0.4%
1.237517 27
2.7%
1.287539 12
1.2%
1.290226 11
1.1%
1.38156 9
0.9%
1.386777 37
3.7%
1.443402 40
4%
1.47878 11
1.1%
1.517772 8
0.8%
1.715508 3
0.3%
2.144746 3
0.3%
2.666693 7
0.7%
3.476273 1
0.1%
3.567323 1
0.1%
3.861844 2
0.2%
-5 Missing; Unknown 0
-4 Not asked 0
-3 Not applicable 0
-2 No answer 0
-1 Don´t know 0
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
V259. Weight variable (Provide a 4-digit weight variable to correct your sample to reflect national distributions of key variables. If no weighting is necessary, simply code each case as "1." It is especially important to correct for education. For example, if your sample contains 10 percent more university-educated respondents as there are in the adult population, members of this group should be downweighted by 10 percent, giving them a weight of .90).
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