Lithuanian Data Archive
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Winter Wheat Harvest in Lithuania, 1919-1939
No full text This dataset contains data on the winter wheat harvest in Lithuania in 1919-1939.</p
NSSA 2014: 8th Grade Teachers of the Mathematics Study, 2014
No full textThe purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality, and national level.
The objectives of National Survey of Student Achievement (NASA):
to collect the information for monitoring the national students’ achievements, planning the novelties, and implementing the novelties for monitoring the success;
to evaluate the educational content, and substantiating students’ achievement criteria based on collected data;
to prepare the necessary tools (i.e., standardized tests, etc.) for students and teachers for the impartial evaluation of their work results;
to prepare the necessary tools (i.e., standardized tests, etc.) for the municipality’s education subdivisions and school principals for collecting the required data of work result assessments and planning of activities.
National Survey of Student Achievement, first implemented in 2002, became the responsibility of the Education Supply Centre. Due to economic reasons, the assessments were not provided from 2009 to 2011. In 2012, the renewed assessment implementation was consigned to the National Examination Centre. Since the 2nd of September, 2019, the National Agency of Education took over the activities of the National Examination Centre and continues to carry them on to this day.
In 2014, 5 NASA surveys were carried out. One line in SPSS Statistics from the 2014 National Survey of Student Achievement coincides with the achievements or questionnaire answers of one particular student or a teacher. The information provided in databases is impersonal - a student or a teacher is identified based on code, without providing the class or school’s name. Each school that has participated in the 2014 National Survey of Student Achievement received a unique five-number school code. The code used for identifying the schools of both grade 4 and grade 8 students and teachers consists of a school code and the numbers identifying a class and a student. The class code in the student’s database coincides with the code in the teacher’s database. To connect these databases, the variable named “ID_klase” would have to be used as an identifier.
This dataset contains data from a survey of 8th grade teachers of the mathematics study.
All the provided questionnaire answers from teachers appear in teacher databases from the 2014 National Survey of Student Achievement. The same questionnaire was given to all the teachers. The teacher questionnaire consisted of general questions (to analyse the educational context), as well as personal questions or questions about the objective field.
Dataset "NSSA 2014: 8th Grade Teachers of the Mathematics Study, 2014" 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).</p
NSSA 2012: 8th Grade Students Study, 2012
No full textThe purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality, and national level.
The objectives of National Survey of Student Achievement (NASA):
to collect the information for monitoring the national students’ achievements, planning the novelties, and implementing the novelties for monitoring the success;
to evaluate the educational content, and substantiating students’ achievement criteria based on collected data;
to prepare the necessary tools (i.e., standardized tests, etc.) for students and teachers for the impartial evaluation of their work results;
to prepare the necessary tools (i.e., standardized tests, etc.) for the municipality’s education subdivisions and school principals for collecting the required data of work result assessments and planning of activities.
National Survey of Student Achievement, first implemented in 2002, became the responsibility of the Education Supply Centre. Due to economic reasons, the assessments were not provided from 2009 to 2011. In 2012, the renewed assessment implementation was consigned to the National Examination Centre. Since the 2nd of September, 2019, the National Agency of Education took over the activities of the National Examination Centre and continues to carry them on to this day.
During the 2012 National Assessments of Student Achievements, grade 8 students received notebooks with 9 types of tests. To pinpoint the personal peculiarities as well as home, class, and school context, etc., the student questionnaires were used for the research of educational context. One student got to fill out only one notebook which consisted of tests from two different subjects and a student questionnaire. The questionnaires provided in different types of notebooks consisted of general questions and a questionnaire from one or two objective fields.
One line in SPSS Statistics from the 2012 National Survey of Student Achievement coincides with the achievements or questionnaire answers of one particular student or a teacher. The information provided in databases is impersonal - a student or a teacher is identified based on code, without providing the class or school’s name. Each school that has participated in the 2012 National Survey of Student Achievement received a unique five-number school code. The code used for identifying the schools of both grade 4 and grade 8 students and teachers consists of a school code and the numbers identifying a class and a student. The class code in the student’s database coincides with the code in the teacher’s database. To connect these databases, the variable named “ID_klase” would have to be used as an identifier.
Dataset "NSSA 2012: 8th Grade Students Study, 2012" 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)
The Competitiveness of the University Graduates in the Labour Market: Employers Survey, May - August 2003
No full textThe purpose of the study: to analyse employers opinion about professional preparation of employed graduates of higher education schools of classes of 1996-2002. If their preparation meets the needs of labour market.
Major investigated questions: respondents were asked to evaluate general economic situation in their company in the last 12 months and perspectives of economic development till 2007. It was questioned if there are any specific changes planned in company's activity and what changes it will be. After various conditions listed, respondents were asked which of those conditions may be the most important in implementing planned changes in company's activity. It was analysed how many employees are currently working in respondent's company and how many of them have higher education diploma. Respondents were asked in the number of employees with higher education diploma is adequate. It was questioned which qualification employees with higher education diploma are missing or there are too much in a company. If there are too much workers with higher education it was questioned what actions there will be taken. It was questioned what personnel problems are likely to exist in respondents company in the next 1-2 years. Respondents were asked to indicate in what ways their companies usually fill in free work places of specialists with higher education. It was analysed if respondent's company accept students of higher education schools for internship and if company led by respondent employed new workers in 1996-2002. If so, respondents were asked how many new employees started working, in which higher education schools they got their degree and what position they have in the company. It was asked to which income group in respondent's company employed graduates of higher education of the class of 2000-2002 belong. It was analysed which professional qualification workers with higher education were hard to find in 1999-2002. Respondents were asked what graduates of higher education of the class of 1996-2002 who were employed in a company lacks the most based on professional training. It was questioned what knowledge, abilities and personal qualities are the most missing in company's employed graduates of higher education schools of classes of 1996-2002. Respondents were asked if they have employees of higher education in their company who's needs qualification training. It was asked which part of the total number of company's employees of higher education do employed graduates who needs qualification training make and what courses would they need. It was analysed what form of training or retraining of company's employees with higher education is the most acceptable for respondents and who would pay for qualification training, retraining of employees with higher education. Respondents were asked which part of costs of one specialist training could their company cover. It was questioned how company's staff turnover till 2007 is predicted. If respondents indicated that a growth of employees number is predicted, it was questioned of what kind professional qualifications and how many employees with higher education is expected to be accepted. Respondent's as employer (representative of employee) awareness about specialists training in higher education schools and willingness to participate in preparation and evaluation of study programmes was analysed. At the end of the interview, respondents were asked how they as employers (representatives of employees) could contribute to improvement of specialists training in higher education schools. It was questioned which measures (financial, organizational, administrative) would encourage to participate in the process of specialists training in higher education schools the most and what would respondents suggest to leaders of Ministry of Education and Science, higher education schools about improvement of specialists training in higher education schools
Crop Area of Oats in Lithuania, 1919-1939
No full textThis dataset contains data on crop area of oats in Lithuania in 1919-1939.</p
NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2020-2021
No full textThis dataset covers anonymised school-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 school-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: School-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.</b
ESS7, Sample Data, Lithuania, April - June 2015
No full textŠiame duomenų rinkinyje pateikiami Europos socialinio tyrimo 7 bangos vykdytos Lietuvoje atrankos dizaino duomenys. Duomenų rinkinį sudarė tyrimą vykdžiusi organizacija UAB "Baltijos tyrimai", o jį sutvarkė EST Nacionalinis koordinatorius Lietuvoje ir Lietuvos HSM duomenų archyvo (LiDA) darbuotojai.
Jis skirtas duomenų svėrimui ir duomenų stratifikacijos bei klasterizacijos poveikio įvertinimui. Šie duomenys turi būti naudojami atliekant korektišką EST 7 bangos duomenų analizę (skaičiuojant korektiškus statistikų įverčius ir jų paklaidas).
This dataset was created using version 1.1 of the integrated data file of countries participating in the ESS Round 7 (Lithuanian data) published in the ESS Data Archive on 2016-08-25
Lithuanian Society’s Civic Empowerment Index, November - December 2008
No full text The purpose of the study: to determine the changes in Lithuanian society's interest in public affairs, their civil participation, willingness to be engaged in civil actions at the local and national level, the attitudes towards the available civil power and the assessment of the friendliness of social environment to engage in civil activities.
Major investigated questions: respondents were which sources of information they use in order to learn about public affairs. They were also asked to indicate how they would behave if they and all the society confronted with a serious political, economic or any local problem. Civic participation of respondents was evaluated by asking questions about various forms of political participation and, community action and social solidarity. Political effectiveness of respondents was evaluated by asking questions about the power of different groups to influence decision-making. The risk of civil participation was evaluated by asking how much it is likely that those people, who initiate or actively participate in civil actions, would experience certain problems.
Socio-demographic characteristics: sex, age, nationality, education, occupation, marital status, number of family members in the household, the number of children under the age of 16 in the households, household income per family member during the preceding month, respondent's income during the last month, accommodation, has a computer in the household, computer has access to the Internet, language of interview, region, size of the place of residence
ESS8, Media Study Data, Lithuania, October - December 2017
No full textInformation of the 8th wave ESS field work is presented in this data set. Information about contextual events according to media claims coding methodology in main chapters (in first pages of national news) of two biggest daily newspapers of Lithuania - "Lietuvos žinios" and "Lietuvos rytas". Gathering of contextual event was carried out 10 weeks (October-December 2017), daily newspaper issues of work days were analysed only. When doing expert analysis of content of published articles, only thematically connected media news with main questionnaire of ESS 8th wave were selected and coded to SPSS file according to preliminary coding scheme.
This data set is dedicated to assess significant and important things that happened in national or international level during the time of the survey. That is why this data can be used in order to explain differences of "normal" and "exclusive" attitudes of residents between different ESS waves in a specific country and between countries.
This dataset was created using version 2.0 of the integrated data file of countries participating in the ESS Round 8 (Lithuanian data) published in the ESS Data Archive on 2018-05-30. </p
Exit Poll Survey: Parliamentary Elections, October 2008
No full textThe purpose of the study: to get information on the voting results of the 2008 Seimas elections in multi-member districts in the evening of the election day.
Major investigated questions: Lithuanian citizens, who participated in the parliamentary elections, were asked for which political party they voted for.
Socio-demographic characteristics: gender, age, place of survey, age groups, county, place of residence.
To use this dataset, the user must obtain WRITTEN PERMISSION from the BNS/RAIT ([email protected]).</b