The purpose of the study: to explore the development of 15-16-year-olds' ability to set goals for their future, match them with their achievements, and cope with a rapidly changing and contrasting social and economic environment. The key tasks of this study were: (1) to identify the dynamics of personal goals formation during adolescence; (2) to assess the effects of the main contextual factors (family, school, peers) and individual characteristics on goal formation during adolescence; (3) to evaluate the effects of objective and subjective aspects of socio-economic and cultural background on the content and processes of goal formation during adolescence. This is the first large-scale longitudinal panel study on adolescents' goal formation in Lithuania. The study was carried out over two years (2019-2021), during which, 1268 adolescents studying in 36 gymnasiums located in different areas of Lithuania, participated in four assessments. The first survey took place in October-November 2019 before the onset of the pandemic. The second survey took place five months later, in the spring of 2020 (end of April- early May), during the first pandemic wave. The third survey took place in October-November 2020 at the onset of the second wave of the pandemic. The fourth took place in the spring of 2021 (March-April) during the decline of the second wave of the pandemic. All four surveys were similarly spaced out with a median difference of 23-24 weeks. The sample is diverse in terms of family and socio-economic backgrounds. Through a multi-stage sampling procedure, 14 out of the 60 Lithuanian urban and rural municipalities were selected based on balanced quotas for socioeconomic indicators and school achievement levels (low, medium, and high). Gymnasiums in selected municipalities were then chosen based on their size and school achievement levels to ensure diversity in the sample. Three of the initially contacted 39 gymnasiums did not participate in the study. The study was supported by the Research Council of Lithuania (LMTLT), grant agreement no. S-MIP-19-26. To use this dataset, the user must obtain PERMISSION from the principal investigator of the project "The development of adolescent goals in the context of social inequality" dr. Rasa Erentaitė rasa.erentaite@ktu.lt.

This dataset contains data on the monthly cost of living in Lithuania in 1913 and 1919-1939.

This dataset contains data on population by literacy on the basis of the results of the Census Data of Lithuania, which was carried out on 17 September 1923.

This dataset contains data on population of cities and towns in Lithuania in 1923, 1930, 1935-1936 and 1938-1939.

This dataset contains data on crop area of potatoes in Lithuania in 1919-1939.

This dataset contains data on monthly index of goods retail trade sales in Lithuania in 1913 and 1923-1939.

This dataset contains data on number of population in Suwalki Province (within the current borders of Lithuania and Poland) on the basis of the results of the first general population census of the Russian Empire, which was carried out in 1897.

This dataset contains data on Lithuania imports by imports categories (Lithuanian litas, LTL) and Lithuania imports structure by imports categories (%) in 1919-1939.

The purpose of the study: to explore the scope, nature and characteristics of citizenship that result from the process of the deepening and enlargement of the EU. The mass survey was conducted in 2009 in the sixteen EU member states (Austria, Belgium, Bulgaria, Denmark, Estonia, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Slovakia, Slovenia, Spain, United Kingdom) and in one non-EU state (Serbia). Socio-demographic characteristics: age, gender, size of household, level of education, occupation, social class, marital status, religion, trade union membership in household, country of birth.

This dataset covers anonymised student-level population data on students enrolled in grade 8 during the school year 2020-2021, including historical data for this student cohort. The NO-GAP research team was provided with student-level primary population data by the National Agency for Education (NAE) from the Education Information Management System (EMIS) database. This database contains the data that is needed by education stakeholders to analyse and assess the state of education in various aspects, forecast educational change, make data-driven decisions, and manage education for quality. The primary data provided by the NAE was cleaned, additionally coded to prevent reidentification, and merged into a single data file by the NO-GAP research team. In addition, the team prepared the codebook "NO-GAP Codebook. School and Student Level Variables: 2020-2021 Cohort of 8th-Grade Students". Dataset "NO-GAP: Student-Level Data: Cohort of 8th Graders of the School Year 2020-2021" metadata and data were prepared implementing project "Disparities in School Achievement from a Person and Variable-Oriented Perspective: A Prototype of a Learning Analytics Tool NO-GAP" from 2020 to 2023. Project leader is chief research fellow Rasa Erentaitė. Project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized” under a grant agreement with the Lithuanian Research Council (LMTLT). These data are not open for external use based on the agreement with NAE.

This dataset contains data on land use in farms of 1 ha and larger in Lithuania in 1935.

This dataset contains data on population movement (population, marriages, births, deaths, infant deaths (under 1 year), natural increase of population) in Lithuania in 1919-1939.

The purpose of the study: to analyse Lithuanian residents attitude towards virtual social networks, behaviour and intensity of involvement in networks. Major investigated questions: respondents were asked how often do they use the internet and visits electronic social networks. Respondents who do not visits electronic social networks were asked why they do not do that. Further, assurance of personal information safety, possibility to establish friendship in electronic social networks, etc. was assessed. Respondents were asked which electronic social network they visit the most, when did they registered on it and how many contacts they have. It was analysed how often respondents interact with their family members, friends (people they know), colleagues (co-workers) and other people in electronic social network. Respondents were questioned on which subjects they interact usually and why they visit electronic social networks. It was analysed what personal information respondents publish in electronic social networks. Socio-demographic characteristics: gender, age, duration of education, education, employment status of the respondent and his / her husband / wife / permanent partner, profession (occupation), trade union membership, religion, participation in religious rites, political views, voting in the last Seimas elections, nationality, household size, respondent's average and total average monthly household income, marital status, place of residence, satisfaction with quality of life, change in living conditions, received social benefits, etc.

This dataset contains data on number of population in Kaunas Province (within the current borders Belarus, Latvia and Lithuania) on the basis of the results of the first general population census of the Russian Empire, which was carried out in 1897.

This dataset contains data on the winter rye harvest in Lithuania in 1919-1939.

This dataset contains data on the total population and the population aged 10 and over by literacy and education in Kaunas Province (within the current borders Belarus, Latvia and Lithuania) on the basis of the results of the first general population census of the Russian Empire, which was carried out in 1897.

This dataset contains data on literacy and education of population by estate in Kaunas Province (within the current borders Belarus, Latvia and Lithuania) on the basis of the results of the first general population census of the Russian Empire, which was carried out in 1897.

This dataset contains data on number of dairy cows in Lithuania in 1919-1939.

This dataset contains data on number of live births (excluding stillbirths) per year in Estonia in 1919-1939. Dataset "Number of Live Births (N) in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

This dataset contains data on the yield of winter wheat in Lithuania in 1919-1939.