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Introduction to Quantitative Data Management and Statistics

The course is intended for students who wish to acquire practical skills in the management of quantitative data and detailed planning of statistical analyses, as well as a working knowledge of basic statistics.

The course is aimed  for  students  who  have  little  or  no  previous experience working  with quantitative data  and methods. Among  the  topics covered are: differences between types of data, responsible data management and the ethics of using survey data, basic programming, how to assess variables and write an analysis plan, as well as conduct descriptive  and  uni/bivariate  analyses. We  use STATA software  in  the  course,  which  offers students  an  important  opportunity to  master  a  key skill for  quantitative research. The  course will increase students’ability to independently plan, execute and document data analyses: Are the data source and variables suitable for the research question? How can data management and documentation increase efficiency  and  accuracy? Throughout  the  course,  students  will  have access to a pre-existing dataset. This dataset will be used during most of the course, but students are encouraged to begin looking for a data source to use in their thesis and are required to assess the  appropriateness  of data sources in the course.

 

 

 

  • Course structure

    Course work consists of computer-based exercises, written and oral presentations, and lectures. Computer exercises will be individually completed. 

    Teaching format

    The course is offered at full-time over 5 weeks. Course participants and instructors meet approximately twice a week for lectures, computer-based exercises and/or seminars. Course participants submit exercises and comment on peers’exercises in Athena and/or during seminars. 

    Course-PM

    Introduction to Quantitative Data Management and Statistics 2020 (663 Kb)

    Assessment

    Examination consists of individually assembled assignments and an analysis plan. 

    Examiner

    Postdoc/Researcher: Siddartha Aradhya

     

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • Contact

    Student Affairs Office

    Study counsellor

    Exchange studies

    Directors of studies, all levels

    Questions about all master's courses/programmes at the Department of Sociology: master@sociology.su.se