Sociodemographic characteristics of the sample (n = 2895).

Sample socio-demographic profile.

Abstract

This study is the result of the socio-demographic and labor analysis of refugee residents in Brazil and represents a milestone in the production of knowledge about the integration of this population into the country. The study shows that most of the interviewees maintain close ties with family, friends and entities located in the countries of origin and, at the same time, demonstrate great knowledge of the Brazilian culture and want to become Brazilian citizens. Nevertheless, they pointed out obstacles to integration, including discriminatory acts. Several factors explain the vulnerability of the refugee population in Brazil: labor market, low wages or insufficient income, difficulty in recognizing diplomas and accessing public or banking services. All these factors, common to a large part of the Brazilian population, have a more striking impact on the quality of life of the refugee population.

Analysis unit

Individual

Sampling procedure

For the realization of the field work, a sample design was elaborated to take into account the intentional sampling by quotas, to estimate proportions of sociodemographic variables, with a total of 500 interviews being established. This sample was applied in 14 cities, distributed in eight Federation Units which concentrate 94% of refugees under the protection of the Brazilian government. The allocation of the number of interviews in each of the states took into account their relative share in the total sample.

Mode of data collection

Face-to-face [f2f]

ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monitor attitudes, behavior, and social change in Germany. Each ALLBUS cross-sectional survey consists of one or two main question modules covering changing topics, a range of supplementary questions and a core module providing detailed demographic information. Additionally, data on the interview and the interviewers are provided as well. Key topics generally follow a 10-year replication cycle, many individual indicators and item batteries are replicated at shorter intervals. The present data set contains socio-demographic variables from the ALLBUS 2021, which were harmonized to the standards developed as part of the KonsortSWD sub-project “Harmonized Variables” (Schneider et al., 2023). While there are already established recommendations for the formulation of socio-demographic questionnaire items (e.g. the “Demographic Standards” by Hoffmeyer-Zlotnik et al., 2016), there were no such standards at the variable level. The KonsortSWD project closes this gap and establishes 32 standard variables for 19 socio-demographic characteristics contained in this dataset.

Understanding public perceptions of the importance of environmental issues is crucial for gauging support for management activities. This survey assess the importance boaters placed on 16 water issues in a lake-rich region of northern Wisconsin. Sociodemographic characteristics, recreation specialization, place attachment, and attitudes concerning aquatic stewardship and invasive species management were then used to predict class membership. While anglers were most concerned about fishing quality, sightseers identified lakeshore development and loss of natural habitat. Groups also differed in their socio-demographic and attitudinal characteristics. The priorities of each group were substantially different from those of the overall sample. Accounting for differences in stakeholders’ environmental concerns may improve public involvement in water management initiatives by allowing managers to identify common concerns and prioritize important issues among multiple groups.

Abstract

The Demographic Sample Survey 1986/87, shortly called as DSS 1986/87 is carried out by the Central Bureau of Statistics (CBS) with financial support from UNFPA and technical assistance from UNDTCD.

The major objectives of the DSS are to provide intercensal estimates of some important demographic parameters such as birth, death, migration, etc. The DSS 1986/87 not only provides these parameters but also examines the factors affecting fertility, mortality and migration in more details.

Geographic coverage

National Urban/ Rural areas Ecological Zones: Mountain, Hill, Terai

Analysis unit

Individual, Household

Universe

All private households

Kind of data

Sample survey data [ssd]

Sampling procedure

The DSS 1986/87 is a longitudinal study based on multi-stage national probability sample of 129 identifiable compact clusters known as ward/subwards. Ward/subwards (81 rural and 48 urban) were drawn from 35 districts (14 from Terai Zone and 18 and 3 from the Hill and Mountain zones respectively), out of a total of 75 districts in the country. The emphasis that the ultimate sampling units of DSS 1986/87 should be easily identifiable compact clusters is to ensure that the survey could be smoothly carried out in several successive rounds. The DSS 1986/87 drew samples from rural and urban areas separately in order to provide estimates of demographic and non-demographic parameters independently for each of the area.

Altogether 8640 households were eventually selected in the DSS 1986/87 for baseline and prospective study. The rural sample consisits of 6126 households while the urban sample accounts for 2514 households. The households selected in the Mountain, Hill and Terai are 675, 4179 and 3786 respectively. The urban households in the Hill and Terai are 1200 and 1314 respectively. In the Mountain there is no urban area. The sample consists of 35101 rural and 14412 urban population.

Refer to page 2 of "DSS Report" for a detailed description of the Sample Design.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data at baseline survey were collected by using six different schedules:

1. Household schedule The household schedule was employed to collect information on some conventional socio-demographic measures of each usual/permanent member of the selected households.

2. In-migration schedule The In-migration schedule was used to collect detailed information on internal migrants and for immigrants.

3. Fertility and Mortality schedule The Fertility and Mortality schedule was used to collect the information on fertility anf mortality history of ever married worman in the household.

4. Out-migration schedule The Out-migration schedule was used to obtain detailed information on each out-migrant from the household which took place in the last five years preceding the survey.

5. Socio-economic status of the household schedule The Socio-economic status of the household schedule was used to obtain socio-economic characteristics of the households.

6. Migration survey-individual questionnaire The Migration survey-individual questionnaire was administered to internal migrants.

Refer to page 5 of "DSS Report" for detailed information on the types and contents of the questionnaires.

Abstract

The primary objective of SASAS is to design, develop and implement a conceptually and methodologically robust study of changing social attitudes and values in South Africa to be able to carefully and consistently monitor and explain changes in attitudes amongst various socio-demographic groupings. The SASAS explores a wide range of value changes, including the distribution and shape of racial attitudes and aspirations, attitudes towards democratic and constitutional issues, and the redistribution of resources and power. Moreover, there is also an explicit interest in mapping changing attitudes towards some of the moral issues that confront and are fiercely debated in South Africa, such as gender issues, AIDS, crime and punishment, governance, and service delivery. The SASAS is intended to provide a unique long-term account of the social fabric of modern South Africa, and of how its changing political and institutional structures interact over time with changing social attitudes and values.

Geographic coverage

National coverage

Analysis unit

The units of analysis in the study are households and individuals

Universe

The population under investigation includes adults aged 16 and older in private households in South Africa

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Design The South African Social Attitudes Survey has been designed to yield a representative sample of adults aged 16 and older. The sampling frame for the survey is the Human Sciences Research Council’s (HSRC) Master Sample, which was designed in 2002 and consists of 1 000 primary sampling units (PSUs). The 2001 population census enumerator areas (EAs) were used as PSUs. These PSUs were drawn, with probability proportional to size, from a pre-census 2001 list of EAs provided by Statistics South Africa.

The Master Sample excludes special institutions (such as hospitals, military camps, old age homes, school and university hostels), recreational areas, industrial areas and vacant EAs. It therefore focuses on dwelling units or visiting points as secondary sampling units, which have been defined as ‘separate (non-vacant) residential stands, addresses, structures, flats, homesteads, etc.’

As the basis of the 2004 SASAS round of interviewing, a sub-sample of 500 PSUs was drawn from the HSRC’s Master Sample. Three explicit stratification variables were used, namely province, geographic type and majority population group.

Within each stratum, the allocated number of PSUs was drawn using proportional to size probability sampling. In each of these drawn PSUs, two clusters of 7 dwelling units each were drawn. These 14 dwelling units in each drawn PSU were systematically grouped into 2 subsamples of seven, to give the two SASAS samples.

Number of units: Questionnaire 1: 2 497 cases realised from 3 500 addresses; questionnaire 2: 2 483 cases realised from 3 500 addresses; combined : 4980 cases

Mode of data collection

Face-to-face [f2f]

Research instrument

To accommodate the wide variety of topics that was included in the 2004 survey, two questionnaires were administered simultaneously. Apart from the standard set of demographic and background variables, each version of the questionnaire contained a harmonised core module that will remain constant from round to round, with the aim of monitoring change and continuity in a variety of socio-economic and socio-political variables. In addition, a number of themes will be accommodated on a rotational basis. This rotating element of the survey consists of two or more topic-specific modules in each round of interviewing and is directed at measuring a range of policy and academic concerns and issues that require more detailed examination at a specific point in time than the multi-topic core module would permit.

In respect of the two SASAS questionnaires, the questions contained in the core module (demographics and core thematic issues) were asked of all 7 000 respondents, while the remaining rotating modules were asked of a half sample of approximately 3 500 respondents each. The two different versions of the questionnaire were administered concurrently in each of the chosen sampling areas. Fieldworkers were required to complete a paper-based instrument while interviews were conducted face-to-face. Questions for the core module were asked of both samples (3 500 respondents each – 7 000) of which 5 583 were realised.

ISSP Module: The International Social Survey Programme (ISSP) is run by a group of research organisations, each of which undertakes to field annually an agreed module of questions on a chosen topic area. SASAS 2003 represents the formalisation of South Africa's inclusion in the ISSP, the intention being to include the module in one of the SASAS questionnaires in each round of interviewing. Each module is chosen for repetition at intervals to allow comparisons both between countries (membership currently stands at 40) and over time. In 2003, the chosen subject was national identity, and the module was carried in version 2 of the questionnaire (Qs.152-203).

The standard questionnaires dealt with democracy, identity, public services, social values, crime, voting, demographics, families and family authority The rotating modules in the 2004 survey covered: Questionnaire 1: Poverty, environment, democracy (part 2) Questionnaire 2: ISSP module (citizenship), democracy (part 2)

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first two cycles (1994/1995, 1996/1997) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Each cycle, a common set of health questions is asked to the respondents. This allows for the analysis of changes in the health of the respondents over time. In addition to the common set of questions, the questionnaire does include focus content and supplements that change from cycle to cycle. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

A data set designed to provide a cross-sectional description of health, mental, and social status of the oldest-old segment of the elderly population in Israel, and to serve as a baseline for a multiple-stage research program to correlate demographic, health, and functional status with subsequent mortality, selected morbidity, and institutionalization. Study data are based on a sample of Jewish subjects aged 75+, alive and living in Israel on January 1, 1989, randomly selected from the National Population Register (NPR), a complete listing of the Israeli population maintained by the Ministry of the Interior. The NPR is updated on a routine basis with births, deaths, and in and out migration, and corrected by linkage with census data. The sample was stratified by age (five 5-year age groups: 75-79, 80-84, 85-89, 90-94, 95+), sex, and place of birth (Israel, Asia-Africa, Europe-America). One hundred subjects were randomly selected in each of the 30 strata. However, there were less than 100 individuals of each sex aged 95+ born in Israel, so all were selected for the sample. The total group included 2,891 individuals living both in the community and in institutions. A total of 1,820 (76%) of the 75-94 age group were interviewed during 1989-1992. An additional cognitive exam (Folstein) and a 24-hour dietary recall interview were added in the second round. Kibbutz Residents Sample The kibbutz is a social and economic unit based on equality among members, common property and work, collaborative consumption, and democracy in decision making. There are 250 kibbutzim in Israel, and their population constitutes about 3% of the country''s total population. All kibbutz residents in the country aged 85+, both members and parents, were selected for interviewing, of whom 80.4% (n=652) were interviewed. A matched sample aged 75-84 was selected, and 85.9% (n=674) were successfully interviewed. The original interview took approximately two hours to administer, and collected extensive information concerning the socio-demographic, physical, health, functioning, life events (including Holocaust), depression, mental status, and social network characteristics of the sample. The questionnaire used for kibbutz residents in the follow-up interview is identical to that utilized in the national random sample. Data Availability: Mortality data for both the national and kibbutz samples are available for analysis as a result of the linkage to the NPR file updated as of June 2000. The fieldwork for first follow up was completed as of September 1994 and for the second follow up as of December 2002. The data file of the three phases of the study is ready for analysis. * Dates of Study: 1989-1992 * Study Features: Longitudinal, International * Sample Size: 2,891

Abstract

Susenas is a survey designed to collect socio-demographic data in large area. The data collected were related to the fields of education, health / nutrition, housing / environmental, socio-cultural activities, consumption and household income, trips, and public opinion about the welfare of household. In 1992, Susenas data collection system has been updated, the information used to develop indicators of welfare (Welfare) contained in the module (information collected once every three years) drawn into the core (group information is collected each year).

The questions are included in the core is intended to obtain the information and to monitor the things that may change each year. It is also useful for short-term planning, as well as questions that can be associated with a question module, such as expenditures. Questions in the modules required to analyze problems that do not need to be monitored every year or analyze issues like government intervention, such as poverty and malnutrition.

Core module combined data can generate analysis to answer questions such as, whether the poor can get benefit from the appropriate educational program launched by the government (e.g., 9-year compulsory education program), who are able to take advantage of government subsidies in education, is there any kind -certain types of birth control that is more widely used by poor people than others, whether there is a link between working hours and fertility, then whether there is a link between sanitation and health status.

Since 1993 the core Susenas sample size is enlarged to generate simple statistics for the district / city level. This new development gives a new dimension to the Susenas data analyst and in that time, several counties have started to develop the indicators / statistics on the welfare of each.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

In 2000 Susenas conducted in all geographic regions of Indonesia with a sample size of 208,672 households spread across urban and rural areas. The number of households that will be enumerated by the core questionnaire only is 143 008 households and a chopped-module core questionnaire of social, cultural and education as much as 65,664 households. The number of households enumerated questionnaire module with population and iodized salt as much 20S.672 household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The design of the sample used is a three-phased sample design. Sample selection for urban and rural areas is done separately.

1. In the first-phase, the sample frame of enumeration areas is selected a number of enumeration areas systematically.

2. In the second-phase, from each selected enumeration area formed of segment group, then selected one segment group (segment group) in pps with size is the number of households in the segment group.

3. In the third-phase, from each selected segment group, selected a sample of 32 households in a systematic based on category of expenditure a month from the results of household registration.

Based on the results of sample selection, random digit odd number of units (R1, R3, R5, .., R29, and R31) to selected households in 2000 Susenas. While serial number of units of the random is even numbers (R2, R4. R6, .., R30, and R32) for selected household demographic module SP 2000.

Next in 2000 Susenas the households selected from core enumeration area, is named core household, while households selected from enumeration areas core-module is named household core-module.

Mode of data collection

Face-to-face

The data is from an experimental study of a simple random sample of about 1000 adults from the Swedish population. The sample is similar by gender, age, income and education to this population. In addition, we have a high response rate, and can detect no differences between non-response and response groups by the comparison variables we have access to. In all relevant respects, we have a representative sample of the Swedish population, and one of the larger samples in the experimental economics literature.

The purpose of this study was to explore gender differences in a wide range of economic preferences in a representative sample. We will use a battery of standard games typically used in experimental economics and psychology, as well as common measures of risk preferences, competitiveness and time preferences. We will explore the same games and measures in three contexts, i.e with three settings, designed to explore different aspects of potential gender differences. These three settings will be investigated using three different treatments for each game and measure.

The experimental data measures preferences in a broad range of standard incentivized decisions related to altruism, fairness, cooperation, trust, coordination, risk and competitiveness. Different treatments vary the salience of the participant’s own gender, as well as the gender of the counterpart. While gender differences in previous experimental studies typically are studied without controlling for sociodemographic characteristics, we have data on age, gender income and education and other sociodemographic variables.

The survey is an OSU of the Swedish population aged 18-73 years from 2011-08-19. It has been implemented by two methods, telephone interviews and distribution of printed questionnaires.

Of the sample, 2349 respondents answered by telephone and 800 respondents answered by postal questionnaire.

Demographic characteristics of the final sample.

Abstract

The Ethiopia Socioeconomic Panel Survey (ESPS) is a collaborative project between the Ethiopian Statistical Service (ESS) and the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic, household-level panel data with a special focus on improving agriculture statistics and generating a clearer understanding of the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology. ESPS is a long-term project to collect panel data. The project responds to the data needs of the country, given the dependence of a high percentage of households on agriculture activities in the country. The ESPS collects information on household agricultural activities along with other information on the households like human capital, other economic activities, and access to services and resources. The ability to follow the same households over time makes the ESPS a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses of how households add to their human and physical capital, how education affects earnings, and the role of government policies and programs on poverty, inter alia. The ESPS is the first-panel survey to be carried out by the Ethiopian Statistical Service that links a multi-topic household questionnaire with detailed data on agriculture.

Geographic coverage

National Regional Urban and Rural

Analysis unit

• Household
• Individual
• Community

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame for the second phase ESPS panel survey is based on the updated 2018 pre-census cartographic database of enumeration areas by the Ethiopian Statistical Service (ESS). The sample is a two-stage stratified probability sample. The ESPS EAs in rural areas are the subsample of the AgSS EA sample. That means the first stage of sampling in the rural areas entailed selecting enumeration areas (i.e., the primary sampling units) using simple random sampling (SRS) from the sample of the 2018 AgSS enumeration areas (EAs). The first stage of sampling for urban areas is selecting EAs directly from the urban frame of EAs within each region using systematic PPS. This is designed to automatically result in a proportional allocation of the urban sample by zone within each region. Following the selection of sample EAs, they are allocated by urban rural strata using power allocation which is happened to be closer to proportional allocation.

The second stage of sampling is the selection of households to be surveyed in each sampled EA using systematic random sampling. From the rural EAs, 10 agricultural households are selected as a subsample of the households selected for the AgSS, and 2 non-agricultural households are selected from the non-agriculture households list in that specific EA. The non-agriculture household selection follows the same sampling method i.e., systematic random sampling. One important issue to note in ESPS sampling is that the total number of agriculture households per EA remains at 10 even though there are less than 2 or no non-agriculture households are listed and sampled in that EA. For urban areas, a total of 15 households are selected per EA regardless of the households’ economic activity. The households are selected using systematic random sampling from the total households listed in that specific EA.

The ESPS-5 kept all the ESPS-4 samples except for those in the Tigray region and a few other places. A more detailed description of the sample design is provided in Section 3 of the Basic Information Document provided under the Related Materials tab.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The ESPS-5 survey consisted of four questionnaires (household, community, post-planting, and post-harvest questionnaires), similar to those used in previous waves but revised based on the results of those waves and on the need for new data they revealed. The following new topics are included in ESPS-5:

a. Dietary Quality: This module collected information on the household’s consumption of specified food items.

b. Food Insecurity Experience Scale (FIES): In this round the survey has implemented FIES. The scale is based on the eight food insecurity experience questions on the Food Insecurity Experience Scale | Voices of the Hungry | Food and Agriculture Organization of the United Nations (fao.org).

c. Basic Agriculture Information: This module is designed to collect minimal agriculture information from households. It is primarily for urban households. However, it was also used for a few rural households where it was not possible to implement the full agriculture module due to security reasons and administered for urban households. It asked whether they had undertaken any agricultural activity, such as crop farming and tending livestock) in the last 12 months. For crop farming, the questions were on land tenure, crop type, input use, and production. For livestock there were also questions on their size and type, livestock products, and income from sales of livestock or livestock products.

d. Climate Risk Perception: This module was intended to elicit both rural and urban households perceptions, beliefs, and attitudes about different climate-related risks. It also asked where and how households were obtaining information on climate and weather-related events.

e. Agriculture Mechanization and Video-Based Agricultural Extension: The rural area community questionnaire covered these areas rural areas. On mechanization the questions related to the penetration, availability and accessibility of agricultural machinery. Communities were also asked if they had received video-based extension services.

Cleaning operations

Final data cleaning was carried out on all data files. Only errors that could be clearly and confidently fixed by the team were corrected; errors that had no clear fix were left in the datasets. Cleaning methods for these errors are left up to the data user.

Response rate

ESPS-5 planned to interview 7,527 households from 565 enumeration areas (EAs) (Rural 316 EAs and Urban 249 EAs). However, due to the security situation in northern Ethiopia and to a lesser extent in the western part of the country, only a total of 4999 households from 438 EAs were interviewed for both the agriculture and household modules. The security situation in northern parts of Ethiopia meant that, in Tigray, ESPS-5 did not cover any of the EAs and households previously sampled. In Afar, while 275 households in 44 EAs had been covered by both the ESPS-4 agriculture and household modules, in ESPS-5 only 252 households in 22 EAs were covered by both modules. During the fifth wave, security was also a problem in both the Amhara and Oromia regions, so there was a comparable reduction in the number of households and EAs covered there.

More detailed information is available in the BID.

The STAMINA study examined the nutritional risks of low-income peri-urban mothers, infants and young children (IYC), and households in Peru during the COVID-19 pandemic. The study was designed to capture information through three, repeated cross-sectional surveys at approximately 6 month intervals over an 18 month period, starting in December 2020. The surveys were carried out by telephone in November-December 2020, July-August 2021 and in February-April 2022. The third survey took place over a longer period to allow for a household visit after the telephone interview.The study areas were Manchay (Lima) and Huánuco district in the Andean highlands (~ 1900m above sea level).In each study area, we purposively selected the principal health centre and one subsidiary health centre. Peri-urban communities under the jurisdiction of these health centres were then selected to participate. Systematic random sampling was employed with quotas for IYC age (6-11, 12-17 and 18-23 months) to recruit a target sample of 250 mother-infant pairs for each survey.Data collected included: household socio-demographic characteristics; infant and young child feeding practices (IYCF), child and maternal qualitative 24-hour dietary recalls/7 day food frequency questionnaires, household food insecurity experience measured using the validated Food Insecurity Experience Scale (FIES) survey module (Cafiero, Viviani, & Nord, 2018), and maternal mental health. In addition, questions that assessed the impact of COVID-19 on households including changes in employment status, adaptations to finance, sources of financial support, household food insecurity experience as well as access to, and uptake of, well-child clinics and vaccination health services were included.This folder includes the questionnaire for survey 1 in both English and Spanish languages.The corresponding dataset and dictionary of variables for survey 1 are available at 10.17028/rd.lboro.18785666.

A detailed description can be found in this LIVES working paper: https://www.centre-lives.ch/fr/bibcite/reference/51

Summary of the working paper: Background In Switzerland, recovery-oriented mental health research collecting non-clinical population data remains scarce. People experiencing psychological health problems (HPs) are more likely to be stigmatised than people experiencing physical HPs. Here, we present a study in which participants of the Swiss Household Panel (SHP) were contacted for an auto-administered questionnaire survey in order to report on the impact that psychological or physical HPs had on their identity, their experiences of stigmatisation, subjective state of recovery as well as positive and negative consequences for various aspects of their lives. This report describes the study aims, procedure, measures, sample selection and response analyses, sample composition and health characteristics. Methods 1426 persons were selected based on their health reports in the SHP, 713 for a psychological and 713 for a physical HP. We analysed the impact of the selection and the response process on sociodemographic characteristics and on psychosocial variables (social integration and mental health indicators). We also investigated mode (online versus paper-pencil) effects. Difference between groups were analysed using Chi-Square and t-tests. Results The response rate was 60.17%; 47.83% could be used for analyses. There were slight mode effects, especially regarding sociodemographic variables. Our final sample can be seen as representative of the German and French part of the Swiss population. Women, persons with high educational level, Swiss nationality and higher degrees of social trust were overrepresented. The principal HPs reported were the most frequent and burdensome for the Swiss population, mainly depression, burnout, anxiety, orthopaedic problems, allergies and cardiac problems. Most participants had received treatment for their HP and had experienced it already for some years. Conclusion Using these data enables to analyse the impact of frequent and burdensome psychological and physical HPs on people’s lives in a sample that has already had some time to deal with their HPs. Future research should try to reach more socially isolated persons, persons without treatment, and specifically stigmatising illness groups.

Sociodemographic characteristics of the sample population.

Dataset of 6 survey processes applied to different populations –locals, tourists and users– from St. George´s Cultural Quarter (Leicester) and the Ouseburn Valley (Newcastle Upon Tyne) between September 2016 and April 2020.

Dataset with the answers to a series of questionnaires carried out to determine the brand awareness of the cultural and creative districts of Leicester, the St. George's Quarter, and Newcastle Upon Tyne, the Ouseburn Valley.

In total, six survey processes have been carried out in which two different questionnaires have been used. The first of them is aimed at tourists and locals from Leicester and Newcastle Upon Tyne and, the second, at users of their districts St. George's Quarter and the Ouseburn Valley.

The first questionnaire aims to determine the notoriety of the districts among tourists and locals. Hence two different survey processes were carried out using the same questionnaire, one among tourists and the other among locals. The questionnaire contains a total of 16 questions, some of them open and others closed, and is made up of five blocks intended to analyze:

1. Sociodemographic characteristics. Through the first two questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age and sex.
2. Degree of knowledge of the concept of cultural and creative districts in the city of Leicester/Newcastle Upon Tyne. This section aims to study the degree of spontaneous and suggested notoriety of the district and its logo among the public, whether tourists or locals. It asks, directly and indirectly, about some cultural and creative districts in the city and their corporate visual identity. First, it is done indirectly (spontaneous awareness) and then directly and concretely (suggested awareness).
3. Degree of knowledge of different institutions, companies or organizations in the district. This part aims to detect whether the local public knows the most relevant actors in the district, regardless of whether or not the respondent is aware of the name given to the space. For this, participants are asked about the most representative areas of each district and other general activities that they may know about.
4. Motivation to attend, know, use and visit the district regularly. This block aims to determine the reasons why the respondents make use of a cultural and creative district, as well as the frequency with which they visit it.
5. Opinions, variables, values and characteristics linked to cultural and creative districts in general. The respondents are asked about the importance that these spaces in the city have for them and why.

The questionnaire includes both mandatory questions and other optional ones, considering that those people who were unaware of a cultural and creative district or certain spaces within it could not answer some of the questions. It is worth noting some details of each survey process:

• The first survey process was carried out in person in September 2016 among tourists and visitors in Leicester, in the city centre, at the Leicester Tourist Office located at Gallowtree Gate.
• The second survey process took place between September and December 2017 among the inhabitants of Leicester. It was carried out in person in the city centre (specifically at Haymarket Memorial Clock Tower, Humberstone Gate and at the De Montfort University campus) and in the surroundings of Leicester's cultural and creative district (in Rutland Street).
• The third and fourth survey processes were carried out between September and December 2018 among the inhabitants and tourists of Newcastle Upon Tyne, respectively. Both processes were carried out in person in the city centre (specifically in Eldon Square, Grey's Monument, Northumberland Street and Newgate Street).

During all these processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly, in person and orally, and the answers obtained were recorded on a digital tablet.

In Leicester, 50 surveys were carried out among tourists and 306 among locals. On the other hand, in Newcastle Upon Tyne, 62 surveys were carried out among tourists and 60 among locals. All of these surveys were carried out in person.

In addition, another survey process different from the ones described above was carried out, for which a second questionnaire was used. This questionnaire has a similar structure to the first and many of the blocks are common, but focuses on understanding the reasons that led current users to a cultural and creative district become such, and how they make use of the district and its logo, its corporate visual identity, its nature as a cultural and creative space, the existing information about it, etc. The main objective of this second questionnaire, beyond determining the suggested notoriety of the districts of St. George's Quarter and the Ouseburn Valley among its users, has focused on studying the phenomenology described. To do this, a total of 17 questions are combined, some of them open and others closed, distributed into five blocks intended to analyse:

1. Sociodemographic characteristics. Through the first three questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age, gender and current employment status.
2. Opinions, variables, values and characteristics linked to cultural and creative districts in general. Respondents are asked about the importance of these spaces in the city and why they are important (if respondents consider they are).
3. Degree of awareness of the nature of the cultural and creative districts among their users. This section aims to study the degree of suggested notoriety of a district and its logo among users. It asks directly about the identification of the space as a cultural and creative district and the knowledge (or not) of its corporate visual identity.
4. Degree of knowledge and use of the different institutions, companies, organizations and actors in the district. This part aims to detect the level of knowledge and frequency of use of the most relevant spaces in a district by the surveyed users. Respondents are asked about the most representative areas of each district and other general activities that they may know about in them.
5. Motivation to attend, get to know and visit the district regularly. This block aims to determine the reasons why respondents make use of a cultural and creative district, as well as the frequency with which they visit the space and with whom they do so. In addition, it focuses on studying how they get to it (public transport, walking, car,...) and through which means (social networks, traditional media, word of mouth,...) the surveyed users are aware of the different events that take place in the corresponding district.

The questionnaire includes both mandatory questions and other optional ones, once again considering that those people who may be unaware of certain spaces in the cultural and creative district or certain features of it may not be able to answer some of the questions.

Both survey processes were carried out online between March and April 2019 and 65 responses have been obtained among users of the St. George's Quarter and 86 among users of the Ouseburn Valley.

During all the survey processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly. Likewise, they were informed of the nature of the investigation and the identity of the interviewer, and also were provided with a contact email to send any questions or suggestions.

In this case, the questionnaire was prepared using Google Forms and distributed from March 1 to April 30, 2020 "online" through "e-mailing" and Social Networks such as Google +, Facebook, Twitter and Instagram. For this, the different workers in the areas of interest were identified thanks to the web directories available on the corporate pages of each cultural, creative, educational actor, etc. and were contacted. In addition, concerning social networks, the questionnaire was distributed using various specific interest groups existing in the districts and through the corporate accounts of the actors in the districts, which facilitated the distribution of the questionnaire on their profiles on social networks.

The study explores university students' perceptions of e-learning in the context of the ongoing COVID-19 epidemic. The study finds that students prefer e-learning because it enables them to connect with their lecturers and fellow students and engage with their study materials at their leisure, and with the freedom to choose their preferred location and time. One of the key reason students choose e-learning is the ease with which they may obtain study resources. The research methods used with a quantitative model, where the sample tested represented the student of 1137 respondents from 43 universities in Indonesia. The study's findings show the weakness of e-learning is that the majority of respondents responded in turn to interaction with lecturers (52,7%). The study also identified that the majority of respondents have a moderate mastery of technology, 1038 individuals (77.6%), while the remainder has poor knowledge of technology, as many as 52 people (3.9%). According to the study, e-learning technology enables quick access to information, which results in students developing a favorable attitude toward it based on its utility, self-efficacy, the convenience of use, and student behavior related to e-learning. The study verifies the utility of e-learning by demonstrating how it enables students to study from any geographical location, which is not achievable with face-to-face instruction.

The hypothesis was that disparities in time from diagnosis to definitive surgery (TTDS) exist between Asian groups. The National Cancer Database (2004-2020) was used to populate a sample of 1388 Asian patients with melanoma. Adjusting for sociodemographic factors with East Asian patients as the reference group, Southeast and South Asian melanoma patients had around 2.5 times the odds of a TTDS over 90 days.

Table 1. Categorization of Asian ethnicities into regional groups Table 2. Sample demographics Table 3. Adjusted odds ratios of multivariable analyses of melanoma treatment timeliness and sociodemographic associations