SubjectsSubjects(version: 861)
Course, academic year 2019/2020
  
Applied Social Research - JSM032
Title: Applied Social Research
Guaranteed by: Department of Sociology (23-KS)
Faculty: Faculty of Social Sciences
Actual: from 2019 to 2020
Semester: winter
Points: 7
E-Credits: 7
Examination process: winter s.:
Hours per week, examination: winter s.:2/1 Ex [hours/week]
Capacity: 24 / 24 (24)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: Mgr. Jiří Remr, Ph.D.
Teacher(s): Mgr. Jiří Remr, Ph.D.
Annotation
Last update: Mgr. Jiří Remr, Ph.D. (08.01.2020)
Aim of the course is to turn the attention to specific topics that have impact on overall quality of conducted researches and that determine its validity. Each lecture is dedicated to one specific topic or methodological issue (that is listed below). Each issue is always explained in detail, presented in numerous real-world examples and case-studies, and possible solutions are usually identified and discussed.
Literature
Last update: Mgr. Jiří Remr, Ph.D. (08.01.2020)

Obligatory reading

Hedrick, T. E., Bickman, L., Rog, D. J., 1993. Applied Research Design. A Practical Guide. London, SAGE Publication

 

Recommended reading

Batini, C., Scannapieco, M., 2006. Data Quality. Concepts, Methodologies and Techniques. Berlin, Springer-Verlag

Biemer, P. P., Lyberg, L. E., 2003. Introduction to Survey Quality. New Jersey, Wiley

Sudman, S., Bradburn, N. M., Schwarz, N., 1996. Thinking about Answers: The Application of Cognitive Processes to Survey Methodology. New Jersey, Wiley

Willis, G. B., 2005. Cognitive Interviewing. A Tool of Improving Questionnaire Design. London, SAGE Publications

Syllabus
Last update: doc. Mgr. Martin Hájek, Ph.D. (03.12.2019)

Contents:

  1. Introduction

  2. Modes of Data Collection

  3. Mode-effects

  4. Validity and Reliability

  5. Mesurement Error

  6. Coverage Errors

  7. Bias

  8. Satisficing

  9. Non-response

  10. Question Format I.

  11. Question Format II.

 
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