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Weighting factor
No total weight usable for international comparison.
The NATIONAL weight variable serves to compensate for unequal selection probabilities introduced by sampling design or non-response and can have design and/ or post-stratification and/ or non-response components.
NATIONAL weighting procedures/ variables used for calculation of NATIONAL weights:
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AT: Combination of design weight for size of household (see HOMPOP) and post-stratification weight for 1) federal states, 2) age-cohorts by sex, 3) level of education.
BG: Post-stratification weights are used based on the variables AGE, SEX, NUTS2 and place of residence (urban/ rural).
CH: The sample frame is individual based and the sampling is pure random, so that every resident in Switzerland has equal chance to participate - all weights are equal to 1. No adjustment for non-response bias.
CL: Post-stratification weight (based on urbanity: urban/ rural, gender: male/ female and age: 18-29/ 30-44/ 45-54/ 55-64/ 65 and older) + non-response weight.
CZ: Design weight (based on selection probabilites) and post-stratification weight (based on NUTS2 + 4 levels of education, gender + 4 categories of age, 6 categories of age + education, size of municipality).
DE: Two separate German samples: the sample for eastern Germany deliberately over-samples the five eastern federal states. If all of Germany is taken as the unit of analysis (rather than the eastern and western states), design weight is necessary. The two weighting factors are stored in the weight variable (weighting factor for Western Germany: 1.193285751; weighting factor for Eastern Germany: 0.55977884).
DK: Person-level post-stratification weight adjusting for age and sex.
ES: Combined design and post-stratification weight: the design weights adjust for unequal selection probabilities, post-stratification weights adjust for non-response in the sample strata (NUTS II regions (Autonomous Communities, CCAA (E_REG) and size of municipality (TAMUNI)).
FI: Post-stratification weights were used based on the following variables: 1) gender, 2) age classes, 3) modified NUTS3 regions, 4) type of community.
FR: Post-stratification weight computed on sex, age (4 groups: 18 to 29 years old, 30 to 39 years old, 40 to 54 years old, 55 years old or more) and occupation (6 groups: Farmers, Tradesmen, Shopkeepers and Business Owners; Managers and Secondary/ University Teachers; Intermediate Professions, White Collar Workers; Blue Collar Workers; Unemployed)
GB-GBN: Combined, summary weights used (Design + Post-Stratification + Non-response) considering an additional weight due to a lower response than usual to the Self Complete section of the questionnaire which included the ISSP questions.
GE: Combined personal-level design weight (household size) and post-stratification weight (sex and age).
HR: No weighting necessary.
HU: Post-stratification weights used based on sex, age, education and type of settlement.
IL: Person-level design + non-response weight.
IS: No weighting, not needed according to the design.
IT: No weighting.
JP: No weighting.
KR: Post-stratification weight adjusting for: gender (male, female), age (18-29, 30-39, 40-49, 50-59 and over), region (Seoul, Kyunggi, Kangwon/ Jeju, Chungcheng, Kyungsnag, Cholla) and urbanicity (urban/ rural).
LT: Post-stratification weight used to make survey sample representative of the population by gender, age and type of settlement.
NO: No weighting.
NZ: Post-stratification weights used based on logistic regression models of Responded (yes/ no) by age group, Maori descent, region, NZ Deprivation Index, urbanicity, and occupation.
PH: Weighting variable is based on people aged 18+ (voting age) and area/ region (NCR, Balance Luzon, Visayas, Mindanao). The weight applied was based on the 2018 census population.
RU: Post-stratification weights were used based on sex, age and education.
SE: No weighting.
SI: No weighting.
SK: Post-stratification weight used based on county (8 categories) x size of community (3 categories) and sex, age (6 categories) and education (3 categories).
SR: Post-stratification weights used (based on stratum, gender, age, education, main activity and position in household).
TH: No weighting.
TR: No weighting.
TW: Design and post-stratification weights used; post-stratification weights were based on sex, age, urbanization and education-degree groups.
US: The US WEIGHT variable takes into consideration a) the sub-sampling of non-respondents, and b) the number of adults in the household. It also essentially maintains the original sample size.
ZA: Design weight + poststratification weight + non-response weight. Explicit stratification variables: Province, population group and geography type (viz. urban formal, urban informal, tribal and rural formal, including commercial farms). Non-response adjustment = number of drawn HHs per EA (census enumerator area)/ number of responding HHs (i.e. where a person 16+ is successfully interviewed) provided that at least 50% of households responded. Otherwise two similar (i.e. in the same explicit stratum) and neighbouring EAs are combined and a combined adjustment factor calculated. Person and household weights are benchmarked, for persons using province, population group, gender and different age groups (i.e. 16-19, 20-24, 25-34, 35-44, 45-54, 55-64 and 65 and older) as benchmark variables and for households using province and population group of the respondent in the household. The marginal totals for the benchmark variables are obtained from the applicable midyear estimates as published by Statistics South Africa.
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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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