Computer-Assisted Social Data Collection and Handling
Course: Sociology (with English language of instruction)
Structural unit: Faculty of Sociology
Title
Computer-Assisted Social Data Collection and Handling
Code
ОК03
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
1.1 Know the methods of computer data collection.
1.2 Know the methods of primary data analysis.
2.1 Be able to collect data.
2.2 Be able to prepare data for analysis.
4.1 Demonstrate skills of individual research work, mastering new knowledge.
Form of study
Full-time form
Prerequisites and co-requisites
1. Have basic PC skills (Chrome, Word, Excel).
2. Be able to search for scientific literature in English.
Course content
1. Data and computer methods of their collection.
2. Preparation of data for analysis.
3. Primary data analysis.
Recommended or required reading and other learning resources/tools
Basic:
1. Treiman Donald J. Quantitative Data Analysis. Doing Social Research to Test Ideas.- Jossey-Bass, 2008, 444P. (pp 151-333)
2. Bethlehem Fir Applied Survey Methods. A Statistical Perspective.-: Wiley, 2009. - 388P., (15-42, 153-177, 276-309, 310-339)
3. W. Paul Vogt, Elaine R. Vogt, Dianne C. Gardner, Lynne M. Haeffele Selecting the Right Analyzes for your Data. Quantitative, Qualitative, and Mixed Methods.- New York, London: The Guilford Press, 2014. - 500P (195-239).
4. Day Ian Qualitative Data Analysis. A user-friendly guide for social scientists.-: Routledge, 2005. - 294P. (10-86)
Additionally:
1. TryR, Code school, o'reilly http://tryr.codeschool.com/
2. Maindonald J.H. Using R for Data Analysis and Graphics. Introduction? Code and Commentary- Sydney, Australian National University, 2008, 96h
3. Krieg Eric J. Statistical and Data Analysis for Social Science.- London: PEARSON, 2014. - 398P.
Planned learning activities and teaching methods
Lecture, practical training, creative tasks, individual work, final work
Assessment methods and criteria
1. Test (test) 1 PH1.1, PH2.1 - 30 points / 18 points.
2. Test work (test) 2 PH1.2, PH2.2, PH 4.1. - 40/24 points.
3. Homework LR2.1, LR2.2, LR 4.1 (only 3 during the study of the discipline) - 30 points / 18 points (10 maximum or 6 minimum points for each).
final assessment – credit
Language of instruction
english
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline