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Note:
/ GB-GBN: this applies to the whole BSA dataset, of which the ISSP dataset is a part, thus, for the ISSP data, weighted base=934 and unweighted base=928.
/ NL: Weight is based on 3 different weights:
- weight 1: adjusts for difference from sample frame with respect to location, no name, no phone, foreign name, type of dwelling,
- weight 2: 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
- weight 3: adjust for differences with turnout and results of last national elections
/ PH: The weight applied was based on the 2007 census population and rescaled on sample size.
/ SK: The un-weighted sample under-represents younger respondents (25-34 and 18-24) and over-represents residents in settlements with 1001 to 5000 inhabitants and under-represents respondents in settlements with more than 100 thousands inhabitants.
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Weighting factor
No total weight usable for international comparism.
NATIONAL weighting procedures/ variables used for calculation of NATIONAL weights:
AU: The three-way tabulation of age group, sex and highest schooling was compared to the equivalent three-way tabulation of those characteristics from the 2011 Census data of Australian Citizens. More information is available in the study description document.
BE: In Flanders the ISSP-questionnaire 2011 was an addition (drop-off questionnaire) to a general face-to-face survey. In Wallonia the ISSP questionnaire 2011 including the standard background variables was a postal survey in 2012. In order to deliver one integrated harmonized data file for Belgium post stratification weights were calculated based upon age, sex, nationality, and geographical classification (NUTS2). All these characteristics are known for all sampled units. The weights were scaled to make the weighted sample size equal to the unequal sample size.
BG: Weighting variable has been computed and accounts for sex, settlement and age-groups. There are twenty coefficients - 4 groups (male and female for towns and villages) multiplied by five age groups (18-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, 65-84 years, 85 years and over).
CH IL JP KR SE SI TR: No weighting.
CL: Weight to adjust for non-response bias on gender, age and urbanity.
CN: Design weight used to adjust for unequal selection probabilites and final weights rescaled to net sample size.
CZ: WEIGHT include total weight, which was constructed from design and post-stratification weights. Design weights based on proportion of household sizes. Post-stratification weight based on region, community size, sex, age and education. The weights were derived from data of the Czech Statistical Office.
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: weighting factor for Western Germany: 1.23472181*; weighting factor for Eastern Germany: 0.53513429*; recoding of the country variable is necessary. The two weighting factors are not stored in the weight variable.
ES: Weights have been elaborated from the response rates, and have been calculated using two variables: Autonomous Communities and Size of Municipalities .
FI: Weight used for calculation by calibration method considering gender, age classes, NUTS3 regions with Greater Helsinki as separate region and type of community. Weight doesn't have the expansion property (the mean of the weights is 1 and the sum of the weights is the number of accepted responses, i.e. the size of the data).
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: A number of area level and interviewer observation variables were used to model response. 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. Very large weights were capped and were scaled to make the weighted sample size equal to the unweighted sample size.
IT: Weight used (based on gender, age (18 groups) and place of residence (14 groups) to adjust data for non-response bias. Final weights were rescaled to the net sample size.
LT: Design weight based on sex, age and type of settlement rescaled to net sample size.
NL: Three different weights are merged together.
NO: No weighting procedure (in net sample younger people, single (never married) and people with lower education underrepresented).
PH: Weighting variable is based on people aged 18 and above and region (NCR, Balance Luzon, Visayas, Mindanao).
PL: Calculation of weight using IPF (Iterative Proportional Fitting) algorithm including sex, age categories (18-24, 25-34, 35-49, 50-59, 60 and more years), type of the place of living and voivodship.
PT: Calculation of the distribution on the sample and population of 3 variables: gender, age groups (18-24; 25-34; 35-44; 45-64; 65-74; 75+), level of education. Population: people aged 18 and more living in the mainland of Portugal (excluding Azores and Madeira islands) at the time of the last Census of the population in 2011.
RU: Variables age, sex and education used for calculation of weight.
SK: Weight constructed according the population characteristics sex, age groups, education, ethnicity (nationality), size of community and region. The un-weighted sample under-represents younger respondents (25-34 and 18 - 24) and over-represents residents in settlements with 1001 to 5000 inhabitants and under-represents respondents in settlements with more than 100 thousands inhabitants.
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.
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). The GSS uses a sub-sampling design to focus resources on a smaller set of the difficult cases for further attempts, thereby reducing non-response bias. It also essentially maintains the original sample size. It also adjusts for attrition.
ZA: Person and household weights are benchmarked using the SAS CALMAR macro and province, population group, gender and 5 age groups (i.e. 16-24, 25-34, 35-49, 50-50 and 60 and older) as benchmark variables for persons and province and population group of the respondent in the household for households as benchmark variables.
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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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Das Modul befasst sich mit gesundheitsbezogenen Fragen, wie z. B. der selbst eingeschätzten Gesundheit und dem Wohlbefinden, den persönlichen Erfahrungen mit der Gesundheitsversorgung (Hindernisse für die Behandlung und regelmäßige Betreuung aufgrund von Zahlungsunfähigkeit, Entfernung zu Diensten, mangelnde Vertrautheit mit dem medizinischen System usw.), der Zuversicht und dem Vertrauen in das Gesundheitssystem, der relativen Bedeutung, die verschiedenen Bereichen der Gesundheitsversorgung beigemessen wird (psychische Gesundheit, Zahngesundheit, Palliativmedizin, Gesundheitsförderung usw.), der konventionellen (westlichen) gegenüber der alternativen Medizin, den Gesundheitssystemen und der Zufriedenheit mit den Gesundheitsdiensten.
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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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The module deals with health related issues, such as self-reported health and well-being, personal experiences with health care (barriers to treatment and regular care due to inability to pay, distance from services, no familiarity with medical system, etc.), confidence and trust in the health care system, relative importance placed on various health care fields (mental health, dental health, palliative care, health promotion, etc.), conventional (Western) vs. alternative medicine, health care regimes, and satisfaction with health care services.
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