Lithuanian Data Archive
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Lithuanian Society’s Civic Empowerment Index, November 2007
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
ESS7, Interviewer's Questionnaire Data, Lithuania, April - June 2015
No full textŠiame duomenų rinkinyje pateikiami Europos socialinio tyrimo 7 bangos vykdytos Lietuvoje apklausėjų klausimyno 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 suteikia informaciją apie interviu vykdymo tvarką ir eigą bei apibūdina apklausėjus. Ši informacija gali būti naudojama interviu atlikimo kokybės tyrimuose, taip pat paaiškinant kai kuriuos respondentų atsakymus į klausimus.
This dataset was created using version 2.0 of the integrated data file of countries participating in the ESS Round 7 (Lithuanian data) published in the ESS Data Archive on 2016-05-26
Crop Area of Winter Rye in Lithuania, 1919-1939
No full textThis dataset contains data on crop area of winter rye in Lithuania in 1919-1939</p
Yield of Potatoes in Lithuania, 1919-1939
No full textThis dataset contains data on the yield of potatoes in Lithuania in 1919-1939.</p
Money Circulation in Lithuania, 1938-1940
No full textThis dataset contains data on money circulation in Lithuania in 1938 January - 1940 September.</p
NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
No full textThis dataset covers anonymised student-level population data on students enrolled in grade 8 during the school year 2021-2022, 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: 2021-2022 Cohort of 8th-Grade Students".
Dataset "NO-GAP: Student-Level Data: Cohort of 8th Graders of the School Year 2021-2022" 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
Crop Area in Lithuania, 1919-1939
No full textThis dataset contains data on total crop area in Lithuania in 1919-1939.</p
NSSA 2014: 8th Grade Students 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.
During the 2014 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 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.
Dataset "NSSA 2014: 8th Grade Students 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)
ESS6, Sample Data, Lithuania, May - August 2013
No full textŠiame duomenų rinkinyje pateikiami Europos socialinio tyrimo 6 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 6 bangos duomenų analizę (skaičiuojant korektiškus statistikų įverčius ir jų paklaidas)
ESS7, Media Study Data, Lithuania, April - June 2015
No full textInformation of 7th 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 (April-June 2015), 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 7th 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 1.0 of the integrated data file of countries participating in the ESS Round 7 (Lithuanian data) published in the ESS Data Archive on 2016-07-08. </p