Lithuanian Data Archive
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Yield of Winter Wheat in Estonia, 1919-1939
No full textThis dataset contains data on the yield of winter wheat in Estonia in 1919-1939.
Dataset "Yield of Winter Wheat 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".</p
Preparing for Higher Education Studies: Survey of Lecturers, January - February, 2017
No full textThe purpose of the study: to study the attitude of teachers working in Lithuanian higher education institutions to the preparation of master's students for university studies and to identify the factors influencing the preparation.
Major investigated questions: respondents were asked to indicate the percentage of time spent on work in higher education, research, administrative work, teaching and promotion of academic and R&D activities. They were asked whether they had taught undergraduate and/or integrated degree students in the last 3 years. Those faculty who have taught were asked to indicate what the most important components are in preparing applicants for undergraduate and/or integrated studies, and they were asked to rate their students' readiness for these studies accordingly. The readiness of undergraduate and/or integrated degree applicants for their studies and the subjects taught by the respondents were assessed. Furthermore, the communication, cognition, initiative and creativity and personal skills of the bachelor and / or full-time students to work with were assessed. The respondents also assessed the current situation in general education and higher education. It was clarified whether he works with students where motivation was assessed at the time of admission to the bachelor and / or integrated studies, and whether the assessed motivation helped to select the most motivated students. It was further asked whether respondent had taught master's students in the last 3 years. Those teachers who have taught were asked to indicate what the most important components are in preparing applicants for graduate study, and they were asked to rate their students' readiness for that study accordingly. The aim was to find out whether the respondents had college graduates among their master's students and whether there were noticeable differences between college graduates' and university graduates' readiness for master's studies. The readiness of first year master's students and the subjects taught by the respondents were assessed. After a block of questions, the characteristics of first year master's students were assessed that are necessary for study. It was asked whether respondent works with students whose motivation was assessed when they entered the master's program and whether the assessed motivation helped in selecting the most motivated students. It was further clarified whether respondent has taught or supervised doctoral students in the last 3 years. Those teachers who taught or supervised were asked to indicate the most important components of preparation for doctoral study and were asked to assess their students' study skills accordingly. They were also asked to rate the doctoral student's preparation and the qualities required to complete the dissertation. After a block of questions, admission to doctoral studies was assessed. It was asked whether the motivation of first-year students assessed during admission to doctoral studies helps to select the most motivated students. Furthermore, respondents commented on current and planned changes in higher education. It was asked whether freshmen motivation should be assessed when entering a higher education institution and how it should be assessed. Clarification was provided on how graduates should be admitted to liberal arts programs and how many state matriculation exams should be passed in order to enter an institution of higher education. The goal was to find out what the minimum score on a state matriculation exam should be for graduates to be admitted to a college. Finally, it asked who should receive public funding for college.
Socio-demographic characteristics: age, gender, number of occupations, major, type of college, city where college is located.
This survey was conducted at the initiative of the Research and Higher Education Monitoring and Analysis Centre (MOSTA). On January 1, 2019, MOSTA was reorganized into the Government Strategic Analysis Center (STRATA)
Lithuanian Political Elite Survey, May - June 2014
No full textThe purpose of the study: to identify political, economic and institutional changes that have taken place since Lithuania's accession to the European Union, and to explore the attitudes of Lithuania's political elite towards the future prospects of the EU.
Major investigated questions: respondents were asked how often they had come into contact with people from the EU institutions or active organisations and companies, as well as with contributors and institutions from the EU's Eastern Partnership countries (Ukraine, Belarus, Moldova, Georgia, Armenia, Azerbaijan) in their professional activities over the last 3 months. The aim was to find out how often they use Western European or US media sources (not in the Lithuanian language) to obtain information in their professional activities. Given the block of questions, respondents were asked to assess the changes in various areas after Lithuania joined the EU in 2004 (balance of powers [president, parliament and government]; equal application of laws - 10 choices in total). The survey also went on to assess changes in the public policy sectors (environmental protection; energy - 28 choices in total) and the public administration sectors (implementation of strategic plans; budget programmes - 5 choices in total). After providing a list of contributors (European Union institutions; leaders of the parliamentary majority political parties - 13 choices in total), the survey went on to assess to what extent they have been responsible for the changes in Lithuania since joining the EU, and to what extent and how did the contributors’ influence for the changes in Lithuania from 2004 to 2014 have changed. Next, people were asked to assess the influence of different individuals concerning important national issues (ordinary citizen; member of the European Parliament - 11 choices in total). The overall change in levels of political corruption after Lithuania joined the EU, as well as levels of political corruption in different state institutions (Seimas, government - 5 choices in total) from 2004 to 2014, was assessed. The survey further went on to analyse the opinions on whether the state should actively defend the Lithuanian identity and the Lithuanian language, and whether the Soviet period was more beneficial than detrimental for Lithuania. Respondents were asked whether people can be trusted in general or caution should be exercised and whether people should orientate towards the Nordic welfare state model. Respondents had the opportunity to answer whether it is more important to grow a competitive European economy within global markets or to ensure better social protection for all its citizens. They were also asked about how a welfare state model in Lithuania would have to be designed. Given the list of welfare policy areas (6 in total), people were asked which ones should maintain a central role for the public sector and which ones should maintain a central role for the private sector. Respondents were asked whether they personally supported the introduction of the euro in Lithuania in 2015 and whether due to Russia's actions in Ukraine in 2014 the approach to the introduction of the euro in Lithuania from 2015 had changed. Given the block of statements (5 in total), people had to assess the most important reasons for Lithuania's introduction of the euro in 2015. Next, they were asked whether the Lithuanian budget should be balanced (i.e., without a deficit) and whether wage growth should not exceed labour productivity growth. They were asked whether austerity policies (cuts in budget spending, wage cuts) were crucial in Lithuania in the wake of the 2008 crisis, and were asked to assess the government's policy to deal with the 2008 crisis. Later, respondents were asked whether they would be in favour of euro area countries coordinating direct taxes (i.e., a minimum corporate tax rate) and having their own separate, direct budget collection to support countries in financial difficulties. There was also a question on whether the (common) EU budget should be bigger than it is now (2014). They were asked whether politicians in the Parliament and the government should have the right to replace public officials and senior civil servants once the governing majority in Lithuania changes. Given the block of statements, the survey analysed the opinions on public administration institutions in Lithuania (Lithuania needs to reduce the number of public administration institutions - 4 choices in total). Given the list of the ministers of the 16th Government of the Republic of Lithuania, respondents were asked to assess the degree of politicisation of civil servants and heads of public administration institutions and public bodies in the ministries under the authority of these ministers. They were further asked to reveal the extent to which they associate themselves with their region, their country or Europe (EU). Given the list of threats, they were asked to rate the risk those threats pose to the EU (non-EU immigrants; EU expansion by including Turkey - 6 choices in total). Political views on a left-right scale as well as the extent of European unification were assessed. Then, trust in the EU and in the ability of Lithuanian institutions to take the right decisions was assessed. The aim was to find out whether respondents felt that decision-makers at the EU level did not take Lithuania's interests into account sufficiently, and whether the interests of some EU Member States were given too much weight. The survey went on to analyse whether different policy areas should be dealt with at the national level or EU level (fight against unemployment; immigration policy [from non-EU countries] - 8 choices in total). Given the next set of questions, respondents were asked what the EU will look like in 10 years (unified EU tax system; mutual social security system - 5 choices in total). Next, they were asked how satisfied they are with the way democracy works in the EU and Lithuania. Given another block of statements, they were asked whether or not EU policies pose a risk to Lithuania (5 choices in total). Next, the survey went on to assess whether the redistribution of resources between EU Member States to protect the single currency is fair. While having the future of the EU in mind, respondents were asked what the EU economy, the economic disparities between EU member states, the social disparities between EU citizens, the importance of the EU as a geopolitical power in the world and what the EU politically will be like in 10 years. The survey was concluded by asking whether or not Lithuania has benefited from EU membership.
Socio-demographic characteristics: education, field of education, experience of studying abroad, place of study, what kind of job and where did they work before they took up their current position, what sector did they work in before they took up their current position, religion, how often do they attend religious services, member of the Seimas, term of office in the Seimas, political sphere, political party, member of the government
ISSP 2009: Social Inequality IV, Lithuania, November 2010 - February 2011
No full textThe purpose of the study: to analyse Lithuanian residents attitude toward social inequality.
Major investigated questions: two question blocks were provided to analyse respondents opinion about importance of different actions in order to achieve something in life. Opinion about fairness in earnings of interviewed Lithuanian residents. Respondents evaluated adequacy of monthly pay of different groups of people to positions held, i. e. how much they earn each month after taxes and how much they should ear for their work. It was analysed how respondents feel about state's role in reduction of social inequality when providing questions group. It was analysed if people who receives high income should pay a larger share of their income in taxes than those with low incomes, the same share, or a smaller share. Taxes which are paid by people with higher incomes in Lithuania were assessed. It was analysed if it is right that people with higher incomes can afford better health care and education than people with lower incomes. In question block it was analysed if in respondents opinion conflicts between different social groups in Lithuania exits. Lithuanian residents self and their families in which they were raised assigning to specific social group was analysed. Respondents were asked to compare their present work (or last work) to the work of their father when respondents were 15 years old. Respondents opinion about importance of different things when deciding how much people ought to earn was analysed. Respondents evaluated fairness of received pay, i. e. appropriate to their qualification and efforts. Respondents indicated which type best describes Lithuanian society and what type it should be. It was analysed where and what kind of work did respondents father and mother had and about how many books where in their family's house when respondents were 15 years old. It was analysed where did interviewed Lithuanian residents worked when they finished full-time education, what was their main occupation there, where they work now and what is their main occupation. Respondents had an opportunity to indicate to which social class they belong. It was questioned about how much money would there be left if the home or apartment where respondents and their families lived would be sold, and any debts, such as mortgage or personal loan, would be paid off. It was also analysed about how much money would there be left if respondents or their families would convert to cash all savings, stocks, or bonds they own, and then any personal debts (not including any home loan) would be paid off. At the end respondents assessed themselves as a person when they were 15 years old and now.
Socio-demographic characteristics: gender, age, level of education, membership in organizations, religion, marital status, nationality, political views, political participation, size of household, respondent's average personal income, place of residence, working situation of the respondent and of his/her spouse or partner
Number of Hospitals, Hospital Beds and Pharmacies (N) in Lithuania, 1919-1939
No full textThis dataset contains data on number of hospitals, hospital beds and pharmacies (N) in Lithuania in 1919-1939.
Dataset "Number of Hospitals, Hospital Beds and Pharmacies (N) in Lithuania, 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".</p
Central Government Revenue in Lithuania, 1918-1939
No full textThis dataset contains data on Lithuanian central government revenue in 1919-1939.
Dataset "Central Government Revenue in Lithuania, 1918-1939" 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".</p
Lithuania Exports, 1919-1939
No full textThis dataset contains data on Lithuania exports by exports categories (Lithuanian litas, LTL) and Lithuania exports structure by exports categories (%) in 1919-1939.</p
Number of Teachers in Primary Schools in Estonia, 1919-1939
No full textThis dataset contains data on number of teachers in primary schools in Estonia in 1919-1939.
Dataset "Number of Teachers in Primary Schools 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".</p
Central Government Revenue in Estonia, 1919-1940
No full textThis dataset contains data on Estonian central government revenue in 1919-1939.
Dataset "Central Government Revenue in Estonia, 1919-1940" 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".</p
Number of Secondary Schools in Lithuania, 1919-1939
No full textThis dataset contains data on number of secondary schools in Lithuania in 1919-1939.
Dataset "Number of Secondary Schools in Lithuania, 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".</p