Course plan

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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: 6/4/2013
Version valid from: 8/30/2013

Aim

The aim of the course is to give basic knowledge in conducting quantitative research projects, e.g. surveys.

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:
- Independently be able to formulate a quantitative research problem
- 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. Some parts of the training can be compulsory. The language used in the training is English.

Examination form

Examination by written test and/or 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

Fowler, Floyd J, Survey Research Methods, Sage Publications Ltd, Senste upplagan

Hair, Joseph. F.Jr; Black, William C.; Babin, Barry J.; Anderson, Ralph E., Multivariate Data Analysis - A global perspective, New Jersey, Pearson Education, Senaste upplagan

Reference literature

SPSS användarmanual, senaste version, Senaste upplagan

Artiklar och kompendier kan tillkomma./Articles and kompendium can be added.