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SOCI301 Mixed Methods

Skills in reading, interpreting, and understanding sociological data, focusing on discovering the social world by mixing methods, i.e. integrating qualitative and quantitative methods within a single project.

Paper title Mixed Methods
Paper code SOCI301
Subject Sociology
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $904.05
International Tuition Fees (NZD) $3,954.75

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18 200-level SOCI, GEND, CRIM or ANTH points or 54 200-level Arts points
EDUC 351
Schedule C
Arts and Music
May not be credited together with SOCI 304 passed in 2010.
Teaching staff
Course Co-ordinators and Lecturers: Dr Melanie Beres and Dr Bryndl Hohmann-Marriott
Paper Structure

This paper is designed around two course projects: one focused on the analysis of qualitative data and the other on quantitative data. Over the course of the semester students will develop their own research projects based on datasets provided by the instructors. Upon completion of the final projects students will have gained experience in analysing both types of data.

Small additional assignments at the beginning and end of the paper are designed to sensitise students to possibilities of mixing qualitative and quantitative methods within a single project.

The paper is fully internally assessed.

Teaching Arrangements
Lectures: Two hours per week
Tutorials: Two hours per week, starting from the second week
Textbooks are not required for this paper.
Readings will be available through Blackboard.
Graduate Attributes Emphasised
Critical thinking, Information literacy.
View more information about Otago's graduate attributes.
Learning Outcomes
  • This paper will explore theory and philosophy that frames research methods
  • We will focus on the analysis phase of the research process and working with qualitative and quantitative data
  • Strategies for using qualitative and quantitative data together to answer important social questions will be explored

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Second Semester

Teaching method
This paper is taught On Campus
Learning management system

Computer Lab

Stream Days Times Weeks
A1 Wednesday 09:00-10:50 29-34, 36-41


Stream Days Times Weeks
L1 Monday 10:00-11:50 28-34, 36-41