Course plan

Save favourite

View syllabus
Syllabus:

Business Administration Ma, Quantitative methods, 7,5 Credits


General data

Code: FÖ025A
Subject/Main field: Företagsekonomi
Cycle: Second cycle
Credits: 7.5
Progressive specialization: A1N - Second cycle, has only first-cycle course/s as entry requirements
Answerable department: Department of Business, Economics and Law
Answerable faculty: Faculty of Human Sciences
Established: 4/1/2008
Date of change: 4/2/2015
Version valid from: 8/16/2015

Aim

The aim of the course is to give knowledge in conducting quantitative research projects and in using statistical methods of analyses.

Course objectives

The purpose of the course is to develop the skill of the students to formulate and study quantitative research problems in the business sector. This includes:
- Present the premises behind quantitative methods.
- Being able to design a study – including sampling, collecting data and to use different techniques for analyzing data – appropriate for such a research problem.
- Being able to understand and use the most common statistical techniques for analysis of data, both for descriptive and causal purposes.

Content

The course describes the quantitative research process from design – via collecting and processing data – to data analysis. Students will learn to choose appropriate research method for a particular research problem. Important parts of the course are: selection of sample, choice of method for collecting data, constructing a questionnaire, and choice of statistical methods for analysing data. Students will get both theoretical and practical knowledge about those steps in the quantitative research process. A variety of different statistical techniques of analysis will be taught, with an emphasis on different bivariate and multivariate analyses of relationships between variables, like correlation analysis and multiple regression analysis.

Entry requirements

Degree of Bachelor (180 Credits) with 90 Credits in Business Administration or corresponding education and Introductory statistics, 15 Credits, or corresponding course.

Selection rules and procedures

The selectionprocess is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

The course includes lectures, seminars, computer laboratory lessons, and tutoring on course papers. Attending the seminars is compulsory. The language used in the training is English.

Examination form

The examination is made through written test and course papers.

Grading system

The grades A, B, C, D, E, Fx and F are given on the course. On this scale the grades A through E represent pass levels, whereas Fx and F represent fail levels.

Course reading


Required literature

Author: Fowler, Floyd J
Title: Survey Research Methods
Edition: Senste upplagan
Publisher: Sage Publications Ltd, latest edition

Author: Hair, Joseph. F.Jr; Black, William C.; Babin, Barry J.; Anderson, Ralph E.
Title: Multivariate Data Analysis - A global perspective
Edition: Senaste upplagan
Publisher: Pearson Education, latest edition

Reference literature

Title: SPSS användarmanual, latest edition
Edition: Senaste upplagan

Vetenskapliga artiklar samt annat utdelat material tillkommer.

Scientific articles and other written texts will be added.