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Note:
For detailed information and explanation about the construction of the nation weights for each country see appropriate 'Study Description' in the appendix of the Variable Report or 'Background Variables Documentations' in the GESIS Data Catalogue (ISSP 2008), tab 'Data and Documents'.
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Weighting factor
No total weight usable for international comparism.
NATIONAL weighting procedures/ variables used for calculation of NATIONAL weights:
AT: Region, Sex x Age, Education, Vote last election (Pop. 65 years + underrepresented in the sample).
AU: Age groups (five groups), sex, and educational attainment (five levels).
BE-FLA: A weighting variable was computed, taking into account gender, age group and level of education.
CH: Design weight defined according to the probability for the localities to be selected in the country, the probability for the sample points to be selected and cooperate in the localities and finally the probability for the respondents to be selected in his/ her household.
CL: Gender, Age (five categories) and Urbanity.
CY: No weighting procedure.
CZ: Design weight based on proportion of household sizes and post-stratification weight based on region, community size, sex, age and education (basic socio-demographic characteristics - sex and education - significantly different from known population characteristics).
DE: Eastern Germany is deliberately oversampled, so weighting is necessary if all of Germany is taken as the unit of analysis (incorporated in the WEIGHT variable: weighting factor for Western Germany: 1,17759009; weighting factor for Eastern Germany: 0,59940556).
DK: No weighting procedure.
DO: No weighting procedure.
ES: Weights have been calculated using two variables: Autonomous Communities (ES_REG), and Size of Municipalities (ES_SIZE). Foreigners underrepresented in the final sample.
FI: Two weights used for calculation by calibration method considering gender, age classes, NUTS3 regions with Greater Helsinki as separate region and type of community.
FR: Post-stratification weighting.
GB-GBN: Weights needed to be applied to correct for unequal probability to be selected (one person interviewed at each address independently from household size). Non-response weighting then applied to correct for unequal probability of response in different sub-groups in population.The final stage of weighting was to adjust the final non-response weight so that the weighted respondent sample matched the population in terms of age, sex and region.
GB-NIR: The weighting adjusts for the fact that individuals living in larger households had a lower chance of being included in the sample than individuals living in smaller households. The data are weighted in relation to the number of eligible adults at that address, derived from the details of the household structure recorded by the interviewers (design weight).
HR: No weighting procedure.
HU: Weighting variable takes type of residence (Budapest, other city, village), sex (male, female), age (18-29, 30-39, 40-49, 50-59, 60-69, 70-x) and highest educational level (less than full secondary/ maturity, Full secondary/ maturity, university degree) into account.
IE: Calibration to population totals by age group, sex, household size, economic status, level of education and region (adults in larger households underrepresented).
IL: No weighting procedure.
IT: The weighting process sets out to check gender by age by geographical area and regions by size of municipalities.
JP: No weighting procedure.
KR: No weighting procedure.
LV: No weighting procedure.
MX: Weight to adjust for non-response bias on the variable of gender (male population was underestimated).
NL: Weight = www1*www2, www1 adjusts for difference from sample frame with respect to location, no name, no phone, foreign name, type of dwelling and www2 adjusts for difference due to within-household replacement (relative to sample implied by household box) – with respect to age, sex, position in household, education, main activity. www1 adjusts (also) for household size (design weight).
NO: No weighting procedure (in net sample younger men and people with lower education under- and people in paid work overrepresented).
NZ: Weight to adjust for non-response bias on variables age and sex (without weighting young people underrepresented).
PH: Weighting variable is based on people aged 18 and above and region (NCR, Balance Luzon, Visayas, Mindanao).
PL: Weight to adjust for non-response on variables sex, age categories, size of the place of living and voivodship.
PT: Sample weighted in order to correct bias of the data regarding the distribution of the population in the following variables: sex, age and level of education.
RU: Variables age, sex and education used for calculation of weight.
SE: No weighting procedure.
SI: No weighting procedure.
SK: Weight constructed according the population characteristics sex, age groups, education, ethnicity (nationality), size of community and region (males, younger and low educated respondents underrepresented).
TR: No weighting procedure.
TW: Weighting factor is designed on sex, age, urbanization and education degree groups. Weights were then generated to match the population characteristics of Taiwan area.
UA: To adjust the data shifts between the statistical and the received data a weight was constructed considering the variables sex and age.
US: The weight variable takes into consideration the sub-sampling of non-respondents and the number of adults in the household (men and those under 25/ over 65 undersampled).
UY: Design weight to adjust for unequal selection probabilities.
VE: Weight variable takes account of selection probabilities for individuals.
ZA: Design weight to adjust for unequal selection probabilities (explicit stratification variables were province, population group and geography type) and weight to adjust for non-response bias.
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?:groupDescription
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Das International Social Survey Programme (ISSP) ist ein internationales Kooperationsprogramm, das jährlich eine Umfrage zu sozialwissenschaftlich relevanten Themen durchführt. Seit 1985 stellt das ISSP internationale Datensätze bereit, die internationale und kulturübergreifende sozialwissenschaftliche Forschung über Zeit ermöglichen.
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Die ISSP-Religionsmodule befassen sich hauptsächlich mit Themen wie religiösen Einstellungen und Überzeugungen, religiöser Sozialisation, religiösen Praktiken in der Vergangenheit und Gegenwart, Verbindungen zwischen Religion und Staat sowie Aspekten der Säkularisierung.
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ISSP Religion modules mainly deal with issues, such as religious attitudes and beliefs, religious socialization, past and current religious practices, religion and governmental connections and aspects of secularization.
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The International Social Survey Programme (ISSP) is a continuing annual program of cross-national survey collaboration, covering a wide range of topics important for social science research. Since 1985 the ISSP provides international data sets, enabling cross-cultural and cross-temporal research.
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