The course is included in these curricula and study modules

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

The aim of the course is to present and train to use different quantitative research methods, such as surveys and experiments.

Learning outcomes

The student will learn how to define a quantitative research problem, how to create a measurement instrument based on prior knowledge, or literature, how to sample respondents, how to analyze data quantitatively with SPSS and how present the results ina written report.

Course contents

The research process for quantitative studies: measurement instruments, questionnaires, implementing a study trough different media including web studies, coding of data, analyzing of data using descriptive statistics, chi square, correlation- regression-, factor-, cluster-, mds-, conjoint and similar methods. How to present the results in a written report.

Prerequisites and co-requisites

none

Previous course names

N/A

Additional information

No mandatory attendance on lectures.The student is assumed to independently learn what has been taught during missed lectures. No special repetitions of missed content due to absence will be given. Possible extension study course for Plastics/Plastteknik students.

Recommended or required reading

Hair J., Black W., Babin B. & Anderson R (2010): Multivariate data analysis- A global perspective, Pearson, New Jersey, ISBN: 978-0- 13-515309-3. Selected parts according to lecturers instructions.. Articles according to lecturers instructions.

Study activities

  • Lectures - 0 hours
  • Individual- and group instruction - 0 hours
  • Small-group work - 0 hours
  • Project- and production work/artistic activities - 0 hours
  • Internet-based studies - 0 hours

Workload

  • Total workload of the course: 0 hours
  • Of which autonomous studies: 0 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

  • Exams (written-, oral-, home-)
  • Essays, reports, productions and portfolio

Assessment requirements

To pass the course the student should pass the following examinations: Examination 1 computer assignments. Examination 2 written examination on quantitative methods and ability to interpret results. No mandatory attendance on lectures. If a lecture is missed the student is supposed to individually learn what was taught, special repetitions of missed lectures are not given. (examinations include written examination tests, demonstrations and presentations, reports and produktions, essays, and also presence at specified occasions) The examinations contribute to the final grade as follows: 50% for assignments and 50% for examination.

Teacher

  • Mildén Peter
  • Smirnova Elena

Examiner

Mildén Peter

Home page of the course

https://arcada.itslearning.com/

Group size

No limit

Assignments valid until

12 months after course has ended

The timetable of the course

see ARBS

Assessment methods

  • Date of examination will be announced later - Exams
  • Date will be announced later - Reports and productions

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