GENERATION is a new study of young Australians to understand youth transitions from school to post school destinations, including a focus on how the COVID-19 pandemic may influence decisions and pathways. GENERATION tracks the interests, hopes and aspirations of young people. A representative group of Year 10 students (around 15 years of age), from over 300 schools across Australia, participated in the first wave of the study in 2022. Two additional surveys were completed in 2023 (Wave 2) and 2024 (Wave 3). The study aims to run for a decade, concluding in 2032 when the cohort is aged 25. The GENERATION survey, is conducted in partnership between the Australian National University and the Australian Department of Education, with advice from educational units of all Australian state and territory governments and a scientific advisory group.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

Due to the closure of school sites during the coronavirus pandemic, the Active Lives Children and Young People survey was adapted to allow at-home completion. This approach was retained into the academic year 2022-23 to help maximise response numbers. The at-home completion approach was actively offered for secondary school pupils, and allowed but not encouraged for primary pupils.

The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and enabling completion at home) and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic years 2020-21, 2021-22 and 2022-23 saw a more even split of responses by term across the year, compared to 2019-20, which had a reduced proportion of summer term responses due to the disruption caused by Covid-19.

The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets have been provided:

1) Main dataset: this file includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child’s activity levels; they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

2) Year 1-2 dataset: This file includes responses directly from children in school years 1-2, providing their attitudinal responses (e.g., whether they like playing sport and find it easy). Analysis can also be carried out into feelings towards swimming, enjoyment of being active, happiness, etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

3) Teacher dataset: This file includes responses from the teachers at schools selected for the survey. Analysis can be carried out to determine school facilities available, the length of PE lessons, whether swimming lessons are offered, etc. Since December 2023, Sport England has provided weighting for the teacher data (‘wt_teacher’ weighting variable).

For further information, please read the supporting documentation before using the datasets.

The Survey of Young People in Jordan (SYPJ) collected cross-sectional data from a nationally representative youth sample, targeting Syrian and Jordanian youth aged 16-30 years of age. The sample was based on a random, stratified, multi-stage cluster sample that ultimately sampled households with youth aged 16-30. The data includes household data, roster data on all household members, and detailed individual questionnaires for all young people in the households within the 16-30 years age range. The final sample consisted of 2,854 households and 4,538 young people completed individual questionnaires (1,757 young Syrians and 2,781 young Jordanians).

Results from the Jersey Children and Young People's Survey

Abstract

In every society, young people carry the promise of a better future. They are the building blocks of a country’s economy and society and its most essential human resource. In Egypt, young people are not only its most important capital but they also constitute the largest segment of the population. According to the 2006 census, approximately 40% of Egyptians are between the ages of 10 and 29. With the right investments, this youth bulge will represent a demographic opportunity that will positively shape the country’s future. Once Egypt’s young people reach working age, given a relatively low proportion of older and younger non-working populations to support, they will present a “demographic gift” of low economic dependency. However, the large size of this cohort places enormous pressures on social services and the labor market and creates a major challenge for development planning. Failures in these institutions could result in the social and economic marginalization of a large proportion of youth that will be unable to compete in an increasingly globalized economy, hence turning the “gift” to demographic “burden”.

Effective planning relies on high-quality research. The Population Council seeks to build the evidence base for better policies and programs with the view of generating research that makes a difference. Young people have been a primary focus for the Council for decades, directing research to determine their conditions and contexts, and providing evidence for decision-makers. In 1998, the Population Council published Transitions to Adulthood, a comprehensive profile of youth based on the Council’s 1997 Adolescence and Social Change in Egypt (ASCE) survey. The results of ASCE have been an important resource for programming for adolescents in Egypt.

Responding to the dearth of data on youth in Egypt, the Population Council conducted a comprehensive situation analysis of Egyptian adolescents and young people: the Survey of Young People in Egypt (SYPE), which covers a nationally representative sample of 15,029 young people aged 10-29.

The SYPE collected data on the five key life transitions of education, work, family formation; health, and civic and political participation. SYPE follows up to an earlier survey conducted by the Population Council in 1997, The Adolescence and Social Change in Egypt (ASCE) survey. With focus on young people aged 10 to 19, analysis of ASCE identified tobacco use, female circumcision, anemia, growth stunting and delayed sexual maturation, poor management of menstruation, and underutilization of health insurance as six priority issues for youth in Egypt. SYPE updates the results provided by the earlier survey and expands their scope.

Geographic coverage

The SYPE sample is nationally representative, covering all governorates in Egypt, including the five Frontier governorates. The SYPE sample is considered to be an innovative design, because it allows for a priori inclusion of slum areas within the urban sample.

Analysis unit

1- Households. 2- Youth aged (10-29) years.

Universe

The survey covered a national sample of households and selected youth aged 10-29.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

The sample of the Survey of Young People in Egypt 2009 (SYPE) was designed in such a way as to be representative at the national as well as regional levels. The sample size of approximately 17,000 young people between the ages of 10 and 29 was selected to provide estimates of key indicators related to adolescents and youth for the country as a whole and for four administrative regions (Urban governorates, Lower Egypt governorates, Upper Egypt governorates and the Frontier governorates), and, where relevant, for the urban and rural segments of these regions. These indicators include never enrollment rates, dropout rates, the incidence of child labor, and unemployment rates. Based on previous statistics about the incidence of young people in the relevant age and sex groups, we determined that a nationally-representative sample of 11,000 households would be sufficient. To obtain accurate estimates for the Frontier governorates, these governorates had to be oversampled. As a result, the SYPE is not a self-weighted sample and weights are needed to obtain the correct estimates.

Sample Frame

The SYPE sample was designed as a multi-stage stratified cluster sample. The primary sampling units (PSUs) were selected from a CAPMAS master sample. The master sample is a stratified cluster sample that contains 2,400 PSUs, divided into 1,080 urban and 1,320 rural PSUs. These PSUs are drawn from a frame of enumeration areas (EAs) covering the entire country prepared by CAPMAS from the 2006 Population Census. Each EA is drawn up in such a way as to contain roughly 1500 dwelling units. The sample is stratified into governorates and each governorate is further stratified into urban and rural segments, where relevant. The distribution of PSUs across strata in the master sample reflects the distribution of the population so as to produce a self-weighted sample.

To achieve a fairly wide geographic dispersion in the SYPE sample and thus minimize the design effect, we set the number of households per cluster to 25. To obtain these 25 households, 25 dwelling units were systematically selected from the roughly 1500 listed in each EA. To get the sample size we needed, we set the number of required PSUs to 455, for a total sample size of 11,375 households. The distribution of PSUs across governorates and urban and rural areas in both the master sample and the SYPE sample are shown in (Table 1 in Appendix C of the final report available among the external resources). The final sample of households interviewed was made up of 11,372 households, which yielded a total of 15,029 young people aged 10-29.

The PSU's in the SYPE sample were drawn from the EA's in the master sample at a rate of roughly 19%-20%. With the exception of the Frontier Governorates and the Luxor administrative area, the sampling rate varies in a relatively narrow range from 14% to 27%. To get good representation from the sparsely populated Frontier Governorates, we increased the sampling rate significantly, in some cases retaining all the PSU's in the master sample. Weights will be derived at the level of the administrative region to account for these varying sampling rates.

Selecting the Urban Slums Sub-Sample

One of the objectives of SYPE is to obtain separate estimates for young people living in urban slums (referred to in the final report chapters as informal urban areas). To make sure we had enough representation of urban slums, we used a study conducted by the Information and Decision Support Center of the Egyptian Cabinet of Ministers (IDSC) to classify urban PSU's in the CAPMAS master sample into slum and non-slum areas. Deciding how to allocate urban PSUs to slum and non-slum areas was not a straightforward exercise given the unreliability of the data on the population of the slum areas.

First, we had to make a decision on how to allocate the 212 urban PSUs to slum and non-slum PSUs. The most reasonable estimate of the share of slums in the urban population was close to 20%, leading us to allocate 44 of the 212 urban PSU's in the sample to slum areas. Second, we had to allocate these 44 slum PSUs to the various governorates. This allocation was done in such a way as to match as closely as possible, the distribution of the number of slum areas across governorates is shown in (Table 2 in Appendix C of the final report available among the external resources).

Ideally, we should have allocated slum PSUs across governorates according to each governorate's share of slum population rather than its share in the number of slum areas. However, given the unreliable information about the population of slum areas, it was impossible to do the allocation in terms of population. This allocation decision is likely to understate the true share of slums in governorates such as Cairo, Giza and Alexandria, where the size of slums is likely to be larger than average, and overstate slum populations in governorates like Damietta, Dakahlia and Sharkia where the size of slums is probably smaller than average. Without reliable data on slum populations, it is unfortunately not possible to use weights to correct for this possible bias in the geographic distribution of slums.

** More information on the sampling procedures is available in Appendix C in the English final report available among the external resources.

Sampling deviation

Attrition was due to the individual's rejection or unavailability during the data collectors' visit or their subsequent two revisits to the same household.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey instruments included three separate questionnaires: 1) A household-level questionnaire; 2) An individual questionnaire that was administered to eligible young people; 3) A community-level questionnaire, which aimed at providing a profile of the localities in which young people live.

Response rate

A total of 16,061 young people were selected to be interviewed as part of this survey. Of this group, 15,029 young people were interviewed.

Sampling error estimates

SYPE estimates for sampling error estimation

Sampling errors along with other precision estimates have been calculated for several key survey estimates. The chosen estimates are labor-force participation rate; unemployment rate; employment

This is the first in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in July 2020, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education and services, and worries and anxieties during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2020 (MHCYP 2020), wave 1 follow up was based on 3,570 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing two primary aims: Aim 1: Comparing mental health between 2017 and 2020 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - the report examines the circumstances and experiences of children and young people in July 2020 and the preceding months, covering: Family dynamics (Topic 2) Parent and child anxieties about COVID-19, and well-being (Topic 3) Access to education and health services (Topic 4) Changes in circumstances and activities (Topic 5) The data is broken down by gender and age bands of 5 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter. Note: On 21 December 2020 the pdf was amended to ensure that Figure 5.6 was displaying the correct figures from the underlying data table.

Survey of Young People in Egypt (SYPE) is a nationally representative sample of young people in the Middle East and North Africa. The 2009 survey included 15,000 young people between the ages of 10 and 29 from 11,000 households. The 2014 survey follows more than 10,000 original respondents. Gender-disaggregated information on health, schooling, employment, and civic engagement is available.

The Scottish Young People Survey (SYPS) cohort series was a postal survey in which questionnaires were initially sent to young people approximately nine months after they had completed their 4th year in secondary school. The survey covered the following topics: experience of school; curriculum; attainment; post-school destinations; entry to labour market; employment; unemployment; training; YTS/employment schemes; further and higher education; attainment and aspirations of young people; attitudes to training/education; attitudes to school and after; social background. In order to make the questions relevant to the respondents' experiences and to reduce the overall number they were required to answer, the questionnaires were divided into several different types and targeted according to the information about sample members provided by the schools (i.e. expected stage of leaving school). The 1983/84 Cohort began with the 1985 survey of a school-year group of people who were in their last compulsory year (4th year) in Session 1983-84. (The cohort included young people who left school from 4th year in 1983-84 who were also represented in the concurrent survey of school leavers). A second sweep of the school-year group cohort was carried out in spring 1986, with a third sweep in autumn 1987.

Each year, "https://www.springtideresearch.org" Target="_blank">Springtide Research Institute conducts an online national survey to explore a different facet of young people's religious and spiritual lives. In 2024, Springtide turned its attention to exploring young people's experiences of and opinions about civic engagement and politics. The survey questionnaire included 72 questions and was completed by 6,669 young people between the ages of 13 and 25. Respondents answered questions about political identities, behaviors, and engagement, as well as religious identity, beliefs, and practices.

Youth data for the sixth wave of the National Youth Survey are contained in this collection. This research project, which was designed to gain a better understanding of both conventional and deviant types of behavior by youths, involved collecting information from a representative sample of young people in the United States. The first wave of this survey was conducted in 1976 (ICPSR 8375), the second wave in 1977 (ICPSR 8424), the third wave in 1978 (ICPSR 8506), the fourth wave in 1979 (ICPSR 8917), and the fifth wave in 1980 (ICPSR 9112). For this wave, youths and young adults were interviewed in early 1984 about events and behavior occurring in calendar year 1983, when they were 17 to 26 years of age. Data are available on the demographic and socioeconomic status of respondents, disruptive events for parents, neighborhood problems, employment, children, aspirations and current successes, normlessness, labeling by parents, perceived disapproval by parents, peers, co-workers, and partner, attitudes toward deviance, exposure to delinquent peers, self-reported delinquency, drug and alcohol use, victimization, pregnancy, depression, use of outpatient services, spouse violence by respondent and partner, and sexual activity.

Youth data for the seventh wave of the National Youth Survey are contained in this collection. This research project, designed to gain a better understanding of both conventional and deviant types of behavior by youths, involved collecting information from a representative sample of young people in the United States. The first wave of this survey was conducted in 1976 (ICPSR 8375), the second in 1977 (ICPSR 8424), the third in 1978 (ICPSR 8506), the fourth in 1979 (ICPSR 8917), the fifth in 1980 (ICPSR 9112), and the sixth in 1983 (ICPSR 9948). For this wave, young adults were interviewed in early 1987 about events and behavior occurring in calendar year 1986, when they were 20 to 29 years of age. Data are available on the demographic and socioeconomic status of respondents, parents and friends, neighborhood problems, education, employment, skills, aspirations, encouragement, normlessness, attitudes toward deviance, exposure to delinquent peers, self-reported depression, delinquency, drug and alcohol use, victimization, pregnancy, abortion, use of mental health and outpatient services, violence by respondent and acquaintances, use of controlled drugs, and sexual activity.

Abstract

From December 2009 to March 2010 the World Bank with the help of Moroccan government conducted a study of the country's young people and their engagement in economic and social activities. Researchers from the World Bank's Sustainable Development Sector of the Middle East and North Africa region utilized a mixed-method approach to study factors that impede the economic and social inclusion of Moroccans aged 15 to 29. The Morocco Household and Youth Survey (MHYS) used two survey instruments to gather quantitative data: Household Questionnaire and Youth Questionnaire.

The study used a nationally representative sample of 2,000 households, in which 1,216 households were located in urban areas and 784 households in the rural areas. The Youth Questionnaire was administered to 2,883 young people between the ages of 15 and 29, representing about 90 percent of the youth in the surveyed households. Information was collected on topics such as economic inclusion, community participation, and use of key public services. The survey was able to examine little studied issues relating to youth such as participation in the labor force, intermediation, career choice, perceived job possibilities, use of time, use of recreational and educational activities targeting young people who have completed formal education.

The focus groups discussions supplemented MHYS.

Geographic coverage

National coverage

Analysis unit

• Households,
• Individuals between the ages of 15 and 29.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample size for the Household Questionnaire was 2,000 households with 1,216 found in urban locations and 784 in rural locations. The 2,000 households were drawn from the 2004 General Census of Population and Housing. For determining the number of households in urban and rural locations, proportionality of the possible locations was used to ensure representativeness. The proportionality was based off the disaggregation of Morocco into primary units in which there are about 600 households. In the end, 125 primary units were randomly selected, with 76 rural primary units and 49 urban primary units. From these 125 primary units, 16 households were randomly selected giving us the total sample size of 2,000 households.

For the Youth Questionnaire, the sample size was 2,883 individuals between the ages of 15 and 29. These 2,883 individuals came from the selected households in the Household Questionnaire. If there was an individual or individuals between the ages of 15 and 29 living at the selected household, the Youth Questionnaire was administrated. More details on sample design are provided in Appendix 2 in "MHYS Basic Information Document".

Mode of data collection

Face-to-face [f2f]

Research instrument

Household Questionnaire covers the following topics: Educational Characteristics, Economic Activities in last 12 months, Secondary Economic Activities in last 12 months, Economic Activities in the last 7 days, Unemployment, Health and Social Security, Housing Characteristics and Durables, Agricultural Assets, Climate Change and Shocks in Agriculture,Incidence of Shocks and Household Responses, Assistance from Social Programs, Migration of Household Members, Migration of non-residents, Migration and Climate Change, Decisions on Consumption in the Household, Expenditures on Frequently Consumed Food Items; Less Frequent Non-Food and Food Expenditures Household Consumption expenditures and food source procurement, Expenditure on less frequent non-food and food products,Infrequent Expenditures, Women in Decision Making

Youth Questionnaire includes the following sections: Employment Preferences, Education, Employment during the last 7 days, First Job, Employment History, Entrepreneurship and Independent Farming, Unemployment, Job Search, Job Services Access, Financial Behavior, Participation of Youth in Educational Institutions and in Youth Centers, Participation of Youth in Family, Access of Youth to Recreation and Social Activities, Satisfaction and Communication, and Time Use.

Cleaning operations

The MHYS contains several data files, with each file pertinent to a specific section. For the case in which there are multiple sections per data file, it is because they share similar levels of observations.

The households are identified by the variable "hid" which consists of the region, province, commune, and enumerator area in which the household is located. This allows the household members to remain anonymous yet statistically unique. This is extremely important especially when it comes to merging different datasets.

Merging data sets will depend on which files are being merged. The key to merging the MHYS data files will be to use unique variables.

For the data sets, the "hid" variable will be the unique variable used to perform the merge at household level; "memid" will be the unique variable used to perform the merge at individual level.

The variable "q5" which signifies enumeration area is scrambled to preserve anonymity of sampled households.

The weights are provided in the data file "weights" and can be merged.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

Introduction

In 2013, students of the Statistics class at "https://fses.uniba.sk/en/">FSEV UK were asked to invite their friends to participate in this survey.

• The data file (responses.csv) consists of 1010 rows and 150 columns (139 integer and 11 categorical).
• For convenience, the original variable names were shortened in the data file. See the columns.csv file if you want to match the data with the original names.
• The data contain missing values.
• The survey was presented to participants in both electronic and written form.
• The original questionnaire was in Slovak language and was later translated into English.
• All participants were of Slovakian nationality, aged between 15-30.

The variables can be split into the following groups:

• Music preferences (19 items)
• Movie preferences (12 items)
• Hobbies & interests (32 items)
• Phobias (10 items)
• Health habits (3 items)
• Personality traits, views on life, & opinions (57 items)
• Spending habits (7 items)
• Demographics (10 items)

Research questions

Many different techniques can be used to answer many questions, e.g.

• Clustering: Given the music preferences, do people make up any clusters of similar behavior?
• Hypothesis testing: Do women fear certain phenomena significantly more than men? Do the left handed people have different interests than right handed?
• Predictive modeling: Can we predict spending habits of a person from his/her interests and movie or music preferences?
• Dimension reduction: Can we describe a large number of human interests by a smaller number of latent concepts?
• Correlation analysis: Are there any connections between music and movie preferences?
• Visualization: How to effectively visualize a lot of variables in order to gain some meaningful insights from the data?
• (Multivariate) Outlier detection: Small number of participants often cheats and randomly answers the questions. Can you identify them? Hint: [Local outlier factor][1] may help.
• Missing values analysis: Are there any patterns in missing responses? What is the optimal way of imputing the values in surveys?
• Recommendations: If some of user's interests are known, can we predict the other? Or, if we know what a person listen, can we predict which kind of movies he/she might like?

Past research

• (in slovak) Sleziak, P. - Sabo, M.: Gender differences in the prevalence of specific phobias. Forum Statisticum Slovacum. 2014, Vol. 10, No. 6. [Differences (gender + whether people lived in village/town) in the prevalence of phobias.]

• Sabo, Miroslav. Multivariate Statistical Methods with Applications. Diss. Slovak University of Technology in Bratislava, 2014. [Clustering of variables (music preferences, movie preferences, phobias) + Clustering of people w.r.t. their interests.]

Questionnaire

MUSIC PREFERENCES

1. I enjoy listening to music.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
2. I prefer.: Slow paced music 1-2-3-4-5 Fast paced music (integer)
3. Dance, Disco, Funk: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
4. Folk music: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
5. Country: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
6. Classical: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
7. Musicals: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
8. Pop: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
9. Rock: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
10. Metal, Hard rock: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
11. Punk: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
12. Hip hop, Rap: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
13. Reggae, Ska: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
14. Swing, Jazz: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
15. Rock n Roll: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
16. Alternative music: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
17. Latin: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
18. Techno, Trance: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
19. Opera: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)

MOVIE PREFERENCES

1. I really enjoy watching movies.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
2. Horror movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
3. Thriller movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
4. Comedies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
5. Romantic movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
6. Sci-fi movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
7. War movies: Don't enjoy at all 1-2-3-4-5 E...

Investigator(s): Delbert Elliot For this series, parents and youth were interviewed about events and behavior of the preceding year to gain a better understanding of both conventional and deviant types of behavior by youths. Data were collected on demographic and socioeconomic status of respondents, disruptive events in the home, neighborhood problems, parental aspirations for youth, labeling, integration of family and peer contexts, attitudes toward deviance in adults and juveniles, parental discipline, community involvement, drug and alcohol use, victimization, pregnancy, depression, use of outpatient services, spouse violence by respondent and partner, and sexual activity. Demographic variables include sex, ethnicity, birth date, age, marital status, and employment of the youths, and information on the marital status and employment of the parents. NYS was sponsored by the National Institute of Mental Health.

Number of children starting to be looked after as reported in the ‘vulnerable children and young people’ survey and a 3-year average of children starting to be looked after in the same week across 2017 to 2020.

The Scottish Young People's Survey (SYPS) was a nationally-representative survey of young people in Scotland. The first sweep of the survey was carried out when the young people were aged 16/17, with a subsequent sweep at age 18/19. The SYPS1989autumn survey was the 2nd sweep of the cohort who were in the SYPS 1987 (also held in Datashare), and describes the experiences of young people in jobs, training or unemployed, as well as those continuing their education at school, college or university. In addition to factual questions about attainment and destinations, family background, social class, school and region, each of the surveys included questions about attitudes, aspirations and choices.