This dataset is about books. It has 226 rows and is filtered where the book subjects is Socialization. It features 9 columns including author, publication date, language, and book publisher.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study interviewed young men living in New York City about their experiences being stopped by the police on the street or in their cars. It examined how experience with the police as well as general evaluations of police policies, practices and behaviors in the respondent's neighborhood shaped views about police legitimacy, and law related behavior, such as compliance with the law and cooperation with legal authorities.

The data for the research described in ''Do Women Socialize Better? Evidence from a Study on Sociality Effects on Gender Differences in Cooperative Behavior''

Dataset and code for the paper, "Ambiguous COVID-19 Messaging Increases Unsafe Socializing Intentions" published in the Journal of Behavioural Public Administration.

Research data for "Exploring novel frontiers in online privacy ethics"

Affluent Americans support more conservative economic policies than the non-affluent, and government responds disproportionately to these views. Yet little is known about the emergence of these consequential views. We develop, test and find support for a theory of class cultural norms: these preferences are partly traceable to socialization that occurs on predominately affluent college campuses, especially those with norms of financial gain, and especially among socially embedded students. The economic views of the student’s cohort also matter, in part independently of affluence. We use a large panel dataset with a high response rate and more rigorous causal inference strategies than previous socialization studies. The affluent campus effect holds with matching, among students with limited school choice, and in a natural experiment, and passes placebo tests. College socialization partly explains why affluent Americans support economically conservative policies.

Within the framework of the European Union, European institutions are aware of the importance of developing and strengthening Social Capital networks in order to assure social cohesion and eliminate social exclusion. Moreover, the enlargement to 10 new member States last year implies challenges in terms of regional integration for which the development of the Social Capital may become essential. In this context of heightened awareness of people’s values and day-to-day interaction, the DG Employment and Social Affairs was interested in measuring the level of Social Capital networks in the European Union and in two candidate countries (Bulgaria and Romania). For this purpose, 25.978 interviews were conducted between 22nd November and 19th December 2004. The report aims to present the main results obtained during this poll. This report is divided in 6 parts: ♦ The context and determinants of Social Capital: personal satisfaction with main social, economical and political domains as well as satisfaction with personal fields ♦ Trust and socialization: generalized trust and informal socialization (time spent in socializing with friends, neighbours and work colleagues) ♦ Informal Social Capital ♦ Networks and associational activities ♦ Social capital and political and civic commitment ♦ The care of elderly.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

This is the dataset used for the analysis of the paper

Replication Data for: The Holocaust, the Socialization of Victimhood and Outgroup Political Attitudes in Israel. Include two data files and two R scripts.

While the origins and consequences of populist attitudes in adults are being studied extensively, it is still unknown when populist attitudes might emerge in a person's life. Drawing on the existing literature on political socialization, we focus on populist attitudes during adolescence and explore the contributing role of negative relationships with parents, peers, and teachers. We provide the first comprehensive analysis of populist attitudes among a representative sample of children aged 12 to 18 using a unique dataset gathered through interviews conducted in schools in Austria, Germany, and Switzerland (n=3,123, mean_age=14.66 years). Our findings reveal a strong association between perceived unjust teacher behavior and the level of populist attitudes in adolescents, while the connection of peers and parents with populist attitudes appears to be limited. Further analyses using panel data from the UK supports these findings.

This dataset contains publically available posting data on users who posted on r/The_Donald in January 2017. All data was scraped via the PushShift.io project. Dataset contains monthly posting data of each individual and the results of term frequency analysis. All sampled users were anonymized.

We add the data set as a stata file. This 'raw' data set is not the actual data set we have used for our article which has been accepted for publication in the British Journal of Political Science. Thus we supply a 'clean' data set (please note that we have used ESS 2008 version 4.0. in the article).

GreetingSTATdataTableWolf greeting experiments, raw dataGroupDataEXP1Raw data EXP1IndividualDataEXP2Raw data, EXp 2

The data collected aim to test whether English proficiency levels in a country are positively associated with higher democratic values in that country. English proficiency is sourced from statistics by Education First’s "EF English Proficiency Index" which covers countries' scores for the calendar year 2022 and 2021. The EF English Proficiency Index ranks 111 countries in five different categories based on their English proficiency scores that were calculated from the test results of 2.1 million adults. While democratic values are operationalized through the liberal democracy index from the V-Dem Institute annual report for 2022 and 2021. Additionally, the data is utilized to test whether English language media consumption acts as a mediating variable between English proficiency and democracy levels in a country, while also looking at other possible regression variables. In order to conduct the linear regression analyses for the dats, the software that was utilized for this research was Microsoft Excel.The raw data set consists of 90 nation states in two years from 2022 and 2021. The raw data is utilized for two separate data sets the first of which is democracy indicators which has the regression variables of EPI, HDI, and GDP. For this table set there is a total of 360 data entries. HDI scores are a statistical summary measure that is developed by the United Nations Development Programme (UNDP) which measures the levels of human development in 190 countries. The data for nominal gross domestic product scores (GDP) are sourced from the World Bank. Having strong regression variables that have been proven to have a positive link with democracy in the data analysis such as GDP and HDI, would allow the regression analysis to identify whether there is a true relationship between English proficiency and democracy levels in a country. While the second data set has a total of 720 data entries and aims to identify English proficiency indicators the data set has 7 various regression variables which include, LDI scores, Years of Mandatory English Education, Heads of States Publicly speaking English, GDP PPP (2021USD), Common Wealth, BBC web traffic and CNN web traffic. The data for years of mandatory English education is sourced from research at the University of Winnipeg and is coded in the data set based on the number of years a country has English as a mandatory subject. The range of this data is from 0 to 13 years of English being mandatory. It is important to note that this data only concerns public schools and does not extend to the private school systems in each country. The data for heads of state publicly speaking English was done through a video data analysis of all heads of state. The data was only used for heads of state who had been in their position for at least a year to ensure the accuracy of the data collected; with a year in power, for heads of state that had not been in their position for a year, data was taken from the previous head of state. This data only takes into account speeches and interviews that were conducted during their incumbency. The data for each country’s GDP PPP scores are sourced from the World Bank, which was last updated for a majority of the countries in 2021 and is tied to the US dollar. Data for the commonwealth will only include members of the commonwealth that have been historically colonized by the United Kingdom. Any country that falls under that category will be coded as 1 and any country that does not will be coded as 0. For BBC and CNN web traffic that data is sourced by using tools in Semrush which provide a rough estimate of how much web traffic each news site generates in each country. Which will be utilized to identify the average number of web traffic for BBC News and CNN World News for both the 2021 and 2022 calendar. The traffic for each country will also be measured per capita, per 10 thousand people to ensure that the population density of a country does not influence the results. The population of each country for both 2021 and 2022 is sourced from the United Nations revision of World Population Prospects of both 2021 and 2022 respectively.

The aim of the research of this database was to understand how professional socialization of female surgeons occurs, with an emphasis on gender and work relationships. This database contains two files: 1 - Collection instrument with a questionnaire applied to surgeons; 2 - Codes - Output - Atlas.ti. Data are in Portuguese.

This dataset combines three original datasets. It is designed for multi-generational study that includes the grandparents, parents, and children of an American family. The grandparents and parents were originally interviewed in 1965 as a nationally-representative sample. The parents were interviewed again in 1973, 1982, and 1997. In addition, the children of these parents were interviewed in 1997. This dataset contains each child’s 1997 data merged with their parent’s data and their co rresponding grandparent’s data. Since 2, 1, or 0 grandparents were interviewed for each parent in 1965, there may be 1 or 2 entries per child.

This dataset provides a detailed view of student lifestyle patterns and their correlation with academic performance, represented by GPA. It contains 2,000 records of students' daily habits across study, extracurriculars, sleep, socializing, and physical activities. Each student's stress level is derived based on study and sleep hours, offering insights into how lifestyle factors may impact academic outcomes.

A total of three datasets from the ICPSR were utilized in this study: DS8, which covers demographic and parenting information; DS9, which focuses on general romantic relationship data; and DS11, which provides detailed insights into romantic relationships. Relevant variables from these datasets were merged using IBM SPSS Statistics Data Editor, resulting in a final dataset comprising 53 variables, 1727 records. Of these, 16 variables fall under the demographic and parenting category, while the romantic relationship and detailed romantic relationship categories include 9 and 26 variables, respectively.

IntroductionPrevious studies have identified socioeconomic inequalities in the treatment of depression. However, these studies often take a narrow approach, focusing on a single treatment type and lacking a comprehensive theoretical framework. Moreover, income and education are frequently used interchangeably as indicators of disadvantage, without distinguishing their unique impacts. This study argues that relying solely on income to explain treatment inequalities is overly simplistic, suggesting instead that education influences treatment through two distinct pathways. The study’s objectives are twofold: first, to investigate the presence of a social gradient in depression treatment, and second, to examine how this gradient is manifested.MethodsThis study utilizes data from the Belgian Health Interview Survey (BHIS), covering four successive waves: 2004, 2008, 2013, and 2018. The weighted data represent a sample of the adult Belgian population. Multinomial regression models are used to address the research aims, and models are plotted to detect trends over time using marginal means post-estimation.ResultsFindings indicate that income is not significantly related to depression treatment, while persistent educational inequalities in treatment are observed over time. Individuals with longer educational attainment are more likely to use psychotherapy alone or a combination treatment, whereas individuals with shorter educational attainment are more likely to use pharmaceutical treatment alone.DiscussionThis study demonstrates that education plays a critical role in fostering health-related knowledge and reasoning, making individuals with longer education more likely to engage in rational health behaviors and choose more effective treatments, even when these treatments require more effort and competencies. The findings underscore the importance of considering education as a key determinant of depression treatment inequalities.

The CYI Survey invites employees to voluntarily disclose how they self-identify based on questions related to Indigenous identity, Black identity, gender, race/ethnicity, sexual orientation and if they identify as a person with a disability. The data displays the diversity within the workforce at the City of Toronto. The goal of the survey is to track progress towards realizing the City's Motto "Diversity Our Strength", and to continuously monitor and socialize diversity data across the City, in order to help inform decision-making and address gaps in representation across all levels at the City. About the Datasets The following datasets were collected through the City's CYI Workforce survey between 2013 and 2024. The data has been reported in aggregate formats that do not allow for the identification of individual employees. First Nations, Inuit, and Metis Data The City is working with an external working group of First Nations, Inuit, and Métis (FNIM) advisors to develop a framework for the collection and use of FNIM data. While this framework is in development, Indigenous data from CYI surveys conducted in 2022, 2023, and 2024 will not be made available until Ownership, Control, Access, and Possession (OCAP) and United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) principles have been applied. However, Indigenous data from 2018, 2019, 2020 and 2021 is still available. For questions related to the implications or considerations of the framework’s development, please contact dataequity@toronto.ca