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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: Combined weights used: Design weight (to account for different selection probability due to different household sizes) and post-stratification weight (based on gender, age, and education).
AU: Combined, summary weights used: Post-stratification (based on age, sex, and education) and non-response.
BG: No weighting.
CH: Design weight used with all respondents having the same probability of inclusion since the sample frame is individual based and the sampling is pure random, so that every resident in Switzerland has equal chance to participate.
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: Combined, summary weights: a) Design weight (based on selection probabilites) and b) post-stratification weight (based on NUTS2, education, gender, age).
DE: Two separate German samples (see variable 'c_sample'): 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), a design weight is necessary (stored in the data): weighting factor for Western Germany: 1.25399685; weighting factor for Eastern Germany: 0.50277849.
DK: Post-stratification weight was used based on AGE (four age groups: 18-34, 35-49, 50-64 & 65-79), ETHNIC ORIGIN (Danish origin and immigrants and descendants), FAMILY TYPE (four groups: singles without children, single parents, couples without children, and couples with children), HIGHEST FULFILLED EDUCATION (three groups: primary school, highschool/ EUD/ short-cycle higher education, and long-cycle higher education and PhD) and SOCIOECONOMIC STATUS (three groups: employed, pensioners and early retirement recipients, and others outside the labour force).
FI: Post-stratification weights were used based on the following variables: 1) gender, 2) six age classes, 3) modified NUTS3 regions (the Greater Helsinki Area was dealt as a separate region), 4) type of community (urban – semiurban - rural).
FR: Post stratification weighting 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: The weight provided is the main BSA survey weight (a design+post-stratification+non-response weight). Calibration weighting was also applied to adjust the final non-response weight so that the weighted sample matches the population in terms of age, sex and region.
HR: No weighting.
IL: Post-stratification weight used based on the variables 'c_sample (Jews/ Arabs), 'SEX' and 'EDUCYRS'.
IS: No weighting.
IT: No weighting.
JP: No weighting.
LT: Post-stratification weights used based on sex by age by type of settlement (interlocking grid).
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: A design weight was used.
RU: Post-stratification weights were used based on sex, age and education.
SE: No weighting.
SI: No weighting.
SR: Post-stratification weights used (based on strata and household composition).
TH: No weighting.
TW: Design and post-stratification weights used; post-stratification weights were based on sex, age, urbanization and education-degree groups.
US: Combined, summary weights were applied - comprising a design weight, a post-stratification weight (based on the variables on region, marital status, hispanic ethnicity, education, US born, gender, race, age) + a non-response weight.
VE: Design weight has been used.
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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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-Module zu sozialer Ungleichheit befassen sich hauptsächlich mit Themen wie Einstellungen zu Einkommensungleichheit, Ansichten zu Verdienst und Einkommen, Legitimation von Ungleichheit, beruflicher Aufstieg durch familiären Hintergrund und Netzwerke, soziale Spaltungen und Konflikte zwischen Gruppen sowie die aktuelle und frühere soziale Position.
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ISSP Social Inequality modules mainly deal with issues, such as attitudes towards income inequality, views on earnings and incomes, legitimation of inequality, career advancement by means of family background and networks, social cleavages and conflict among groups, and the current and past social position.
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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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