Survey Design

Course content

This course provides a general introduction to quantitative social science methods, with a particular focus on surveys.
The aim is for students to acquire insight into and hands-on experience with key methodological concepts and the various phases of a survey investigation—from problem formulation to reporting.
The course includes a dedicated module introducing students to the use of software for statistical analysis.

Education

Mandatory course in the 1st semester of the Sociology programme.

Note! Survey Design is identical to Elementary Social Science Methods 1. The course content is unchanged.

Learning outcome

After completing the course, students are expected to be able to:

 

Knowledge:

  • Explain key concepts in the survey literature
  • Describe advantages and disadvantages of different data collection methods; discuss the strengths and weaknesses of face-to-face interviews, drawing on personal experiences with the used questionnaire
  • Articulate personal assumptions underlying problem formulation and the formation of concepts, and critically reflect on them
  • Understand fundamental research and sampling design
  • Classify variables according to their levels of measurement and explain which descriptive statistics (mean, median, mode, etc.) are appropriate for each level
  • Distinguish between theoretical and empirical hypotheses
  • Reflect on key insights from the methodological literature in relation to one's own experience with data collection and analysis
  • Explain the logic of non-response analysis and key concepts such as representativeness, population, sample, and analytical sample
  • Discuss ethical considerations in relation to survey research

 

Skills:

  • Justify the choice of a research topic with reference to societal relevance and/or sociological knowledge needs
  • Formulate and justify a clear research question suitable for investigation using survey methods
  • Identify and define relevant sociological concepts and construct simple models and hypotheses about relationships between them
  • Formulate theoretical and empirical hypotheses and substantiate them with explicit assumptions about patterns in social reality
  • Develop survey questions that operationalize theoretical concepts into empirical variables and argue for the selection of relevant dimensions in the operationalization process
  • Pilot one's own survey questions and revise them accordingly
  • Assess the validity and reliability of one’s own questions in light of analysis of the collected data
  • Prepare data for analysis and carry out basic univariate, bivariate, and multivariate analyses using statistical software
  • Conduct a non-response analysis of the analytical sample’s representativeness using known variables
  • Discuss and contextualize analytical results in relation to the research question, prior understanding, and theoretical hypotheses; identify limitations and implications of the findings
  • Discuss the strengths and limitations of the survey method based on personal experience
  • Report the full process and results of the survey in a coherent whole, including communicating key results using tables and graphs

 

Competences:

  • Independently and in collaboration with others, design and conduct a survey investigation from problem formulation to reporting, including basic data analysis using appropriate software
  • Actively apply the methodological literature to justify decisions made during the research process and critically reflect on their consequences
  • Communicate research results in written and oral formats, using tables and graphs
  • Incorporate ethical considerations into the planning and analysis of the study

Lectures for the full cohort, exercise sessions, and small-group instruction in the statistical program Stata. Includes both group and individual work outside class hours.

Textbook: Frederiksen, Morten, Peter Gundelach, and Rikke S. Nielsen (2017). Survey: Design, Sample, Questionnaire, Analysis. Copenhagen: Hans Reitzel.

Reader: Available for purchase at semester start from Academic Books at CSS.

SAMF IT has a page for installing required software on personal computers:
http:/​/​samf-it.ku.dk/​stud/​programmer

Continuous feedback during the course of the semester
ECTS
7,5 ECTS
Type of assessment
Continuous assessment
Type of assessment details
The student must participate in a number of test events consisting of oral presentations and small written home assignments, e.g. essays, papers and/or evaluate others' work. An overall assessment is registered at the end of the semester.

More detailed information about the specific test events is provided in the course room in Absalon before the start of the semester.
Aid
All aids allowed

The Department of Sociology prohibits the use of generative AI software and large language models (AI/LLMs), such as ChatGPT, for generating novel and creative content in written exams. However, students may use AI/LLMs to enhance the presentation of their own original work, such as text editing, argument validation, or improving statistical programming code. Students must disclose in an appendix if and how AI/LLMs were used; this appendix will not count toward the page limit of the exam. This policy is in place to ensure that students’ written exams accurately reflect their own knowledge and understanding of the material. All students are required to include an AI declaration in their exam submissions regardless of whether they have used generative AI software or not. This declaration should be placed as the last page of the exam submission. Please note that the AI statement is not included in the calculation of the overall length of your assignment. The template for the AI statement can be found in the Digital Exam system and on the Study Pages on KUnet under “Written exam”. Exams that do not declare if and how AI/LLMs were used will be administratively rejected and counted as one exam attempt.

Marking scale
passed/not passed
Censorship form
No external censorship
Re-exam

The student independently formulates an exam question based on predefined guidelines from the instructor.
The instructor must provide at least two example questions that meet these criteria.

Criteria for exam assessment

See learning objectives above.

  • Category
  • Hours
  • Lectures
  • 14
  • Preparation
  • 164
  • Exercises
  • 28
  • English
  • 206

Kursusinformation

Language
English
Course number
ASOB16134U
ECTS
7,5 ECTS
Programme level
Bachelor
Duration

1 semester

Placement
Autumn
Studyboard
Department of Sociology, Study Council
Contracting department
  • Department of Sociology
Contracting faculty
  • Faculty of Social Sciences
Course Coordinator
  • Andrew Christopher Herman   (13-64716775687a316b687570647143767266316e7831676e)
Saved on the 16-05-2025

Er du BA- eller KA-studerende?

Er du bachelor- eller kandidat-studerende, så find dette kursus i kursusbasen for studerende:

Kursusinformation for indskrevne studerende