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Course, academic year 2023/2024
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Sociological Research 2: Survey - ASG100113
Title: Sociologický výzkum 2: Dotazníkové šetření
Guaranteed by: Department of Sociology (21-KSOC)
Faculty: Faculty of Arts
Actual: from 2019
Semester: summer
Points: 0
E-Credits: 5
Examination process: summer s.:
Hours per week, examination: summer s.:2/1, Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: PhDr. Jiří Vinopal, Ph.D.
Teacher(s): PhDr. Jiří Vinopal, Ph.D.
Pre-requisite : ASG100112
Annotation -
Last update: PhDr. Jiří Vinopal, Ph.D. (06.02.2018)
In the course students will be provided with a knowledge about the conduct of a survey and introduced into the basic principles, procedures and individual activities. In addition to explaining key concepts and approaches, students will practice several steps and activities. After completing the course, they will be able to prepare an adequate research plan for a selected topic (operationalization, definition of the research object and selection of the sampling procedure), critically evaluate the methodological benefits and limitations of the different solutions; and to carry out key research activities in the basic form (preparation of a questionnaire, organization of data collection, technical data preparation). They will also be equipped with the knowledge to enable them to outsource the collection of questionnaire data to the external contractor and to assess the quality of the offers and their subsequent implementation.
Course completion requirements - Czech
Last update: PhDr. Jiří Vinopal, Ph.D. (29.01.2021)

Včasné plnění průběžně zadávaných úkolů.

Prokázání získaných znalostí v rámci ústního pohovoru.

Podrobnosti k získání atestace jsou uvedeny v Moodle.


Literature -
Last update: PhDr. Jiří Vinopal, Ph.D. (12.05.2023)

Groves R. M. Fowler F. J. Couper M. Lepkowski J. M. Singer E. & Tourangeau R. (2009). Survey methodology (Second). Wiley.

Disman, M. (1993). Jak se vyrábí sociologická znalost. Karolinum.

Groves, R. M. (2004). Survey Error and Survey Costs. Wiley.

Saris, W. E. & Gallhofer, I. N. (2007). Design, Evaluation, and Analysis of Questionnaires for Survey Research. Wiley.

Babbie, E. (2012). The Practice of Social Research (13th edition). Waldsworth Publishing.

Petrusek, M. (1993). Teorie a metoda v soudobé sociologii. Karolinum.

Teaching methods - Czech
Last update: PhDr. Jiří Vinopal, Ph.D. (29.01.2021)

Za běžných podmínek výuka probíhá prezenční formou v učebnách FF UK.


Realizace kursu v případě Distanční výuky

  • Výuka bude probíhat on-line dle rozvrhu zveřejněného na stánkách Katedry sociologie
  • Platforma on-line výuky: Zoom
  • Studijní materiály: Moodle
  • Podmínky splnění: stejné, jako za běžných podmínek
  • Způsob atestace: ústní pohovor
Syllabus -
Last update: PhDr. Jiří Vinopal, Ph.D. (06.02.2018)

1. History and main features of the survey: standardization, interviewing, representativeness, inference, etc.
2. The concept of Total Survey Error (TSE) and handling it in during the realization of the survey
3. Data collection modes (F2F, CAPI, CATI, CAWI, mixed mode), selection procedures and nonresponse
4. Principles of the interviewing situation (CASM)
5. Operationalization: Concept - Construct - Indicators - Items (3 step procedure)
6. Preparation of research questions: types, parameters, formulations, scales, etc.
7. Verification of the quality of research questions: pilot study, pre-research, CASM, SQP
8. Technical and formal aspects of the questionnaire, PAPI / CATI / CAWI differences
9. Fieldwork logistic: costs, timetable, interviewing network, quality check, ethical aspects, etc.
10. Technical data processing: programming, recording, coding, data file,
11. Data file preparation, representativeness control and weighing, data quality inspection
12. Total Survey Error (TSE), data quality analysis (SQP, measurement error correction)
13. Comparative research - principles, methodological problems, equivalence

Learning resources - Czech
Last update: PhDr. Jiří Vinopal, Ph.D. (29.01.2021)


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