Advanced Quantitative Analyses

Study Board of Business Economics

Teaching language: English
EKA: B100195402
Censorship: Second examiner: None
Grading: 7-point grading scale
Offered in: Soenderborg
Offered in: Spring
Level: Bachelor

Course ID: B100195401
ECTS value: 5

Date of Approval: 18-09-2020


Duration: 1 semester

Course ID

B100195401

Course Title

Advanced Quantitative Analyses

Teaching language

English

ECTS value

5

Responsible study board

Study Board of Business Economics

Date of Approval

18-09-2020

Course Responsible

Name Email Department
Yingkui Yang yya@sam.sdu.dk Institut for Sociologi, Miljø- og Erhvervsøkonomi, Markets, Organization and Behavior (MOB) Research Group

Offered in

Soenderborg

Level

Bachelor

Offered in

Spring

Duration

1 semester

Recommended prerequisites

The course builds upon the competences that students have acquired in the part on Statistics in the course Mathematics and Statistics (the descriptive statistics part and hypothesis testing) and Marketing (theories of customer behavior, marketing decision making and collection of quantitative survey data).
Students are thus expected to have knowledge equivalent to those parts of the mentioned courses.

Aim and purpose

The overall purpose of the course is to give the student knowledge about and skills in converting quantitative data to information which can be used for decision making in a business economic context. By application of the statistical software SPSS, the student will acquire skills in application of simple and advanced techniques for analysis of data on business economic problems. Further, it is the aim that the student develops skills in interpretation of the results of statistical analyses and in presentation hereof in a way the displays their validity and relevance in a business context.

Content

•Introduction: Repetition on essential topics on quantitative methods from the courses Mathematics and Statistics as well as Marketing. 
•Data collection: Questionnaires, SurveyXact etc. 
•Data preparation, creation of a statistical analysis plan and data analysis in the statistical software SPSS  
•Analysis of relationships: Correlation, multiple regression and discriminant analysis 
•Structural analysis including multiple item scales and validation: factor analysis and cluster analysis 
•Conjoint analysis 
•The analysis report.

Learning goals

The learning outcome of this subject is that the student independently can choose, carry out and report analysis of quantitative data within business economics. 

The student should be able to demonstrate:

Description of outcome - Knowledge

The student can account for:

• the main methods for quantitative research, including the advantages and disadvantages of each method and the importance of triangulation
• question types and scaling
• sampling methods
• measurement problems in quantitative studies (reliability, validity and representativeness)
• basic procedures and important considerations in the design of research questions / hypotheses
• basic procedures and considerations in the preparation of a quantitative survey design
• simple and advanced analytical techniques, including their prerequisites and applications
• basic procedures and considerations in application of simple and advanced techniques for analysis of data.

Description of outcome - Skills

The student can:

• design relevant research questions / hypotheses for a problem within the field of business economics 
• set up a questionnaire design that can provide quantitative data for solving the problem by application of the methods learnt in the course
• use the SurveyXact questionnaire program
• draw up a plan for analysis which can provide information for decision-making for a specific problem within business economics
• execute the analysis according to the planned techniques using the SPSS statistical package. As a part of this:
  • assess reliability and validity in questionnaires and survey data
  • conduct control and quality assurance of a dataset
• report the completed analyses and results in a way that clearly shows the validity and relevance of the results for the problem defined. 

Description of outcome - Competences

The student can:

•identify and verify the need for quantitative data to solve a defined problem related to business economics 
•reflect on the suitability of specific analytical techniques to the research questions and hypothesis 
•summarize the results of the analysis in a conclusion that clearly shows their implications for the defined problem.

Literature

Examples
•Analysis of Quantitative Survey Data, ISBN 9781787264342, Customised book with selected chapters from Naresh K. Malhotra, David F. Birks & Peter Wills: Marketing Research: An Applied Approach, 5. Edition, Pearson, 2017 (latest edition)
•Janssens, W., Wijnen, K., De Pelsmacker, P., & Van Ken Hove, P. (2008). Marketing Research with SPSS. Harlow, England: Pearson Education Limited. 

Teaching Method

See under Workload / Scheduled classes.

Workload

Scheduled classes: 

A total of 30 lessons (3 hours per week in 10 weeks) during the beginning of the semester (February – April).
Group work with planned counselling in the following weeks in April and May. 30 minutes are allocated for counselling for each group (10 minutes for each consultation and in total 3 consultations). A statistical analysis plan for the project work must be prepared before counselling. The first counselling meeting takes place in the middle of April and the last two will be taken place in agreement with the supervisor.

Workload:
The activities for the course workload for an average student are structured as follows: 

Participation in lessons: 30 hours.
Preparation for lessons: 30 hours.
Preparation for counselling meetings: 3 hours (incl. preparations and following-up of the counselling meeting).
Work on report: 72 hours.
Total: 135 hours.

Examination regulations

Exam

Name

Exam

Timing

Exam: June.
Reexam: August.


Tests

Exam

Name

Exam

Form of examination

Project report

Censorship

Second examiner: None

Grading

7-point grading scale

Identification

Student Identification Card - Date of birth

Language

English

Duration

Across the semester. 

Length

Extent: 
Max. 25 pages for 2 persons (excl. table of contents and appendices).
Max. 30 pages for 3 persons (excl. table of contents and appendices).
Max. 35 pages for 4 persons (excl. table of contents and appendices).

Examination aids

All examination aids are permitted.

Assignment handover

Digital hand-out via "Digital Exam"

Assignment handin

Digital submission via "Digital Exam"

Please note!! Both the written report and all relevant SPSS outputs for each assignment should be uploaded. 

ECTS value

5

Additional information

Supplemental information for the form of examination:

The report must be prepared in groups of 2-4 students. The teacher can decide deviations. Although the students may begin their project work at the start of the semester, the workload is expected to be the highest in May. 
The contribution of each group member must appear clearly to enable individual grading.

The report must contain: 
•A well-defined problem formulation in the field of business economics. The problem formulation should be focused and precise,
•An analysis plan, 
•Presentation and interpretation of the analysis results, 
•Conclusion. It must be clear how the results and conclusion reached as a result of statistical analysis. 

Re-exam:
For the re-exam a new assignment will be handed out. 
Duration: 3 weeks. 
Date for submission will appear from the examination plan.

Examination form may be altered for the reexamination. 
A change in the examination form will be announced no later than 14 days prior to the re-exam.

EKA

B100195402

External comment

NOTE - This course is identical with the former course Odense: 8828501 Analysis of Quantative Survey Data (Advanced Quantitative Analysis)  Sønderborg: 9069901 Advanced Quantative Analyses (Tools for Quantative Analyses II). Used examination attempts in the former identical course will be transferred.Courses that are identical with former courses that are passed according to applied rules cannot be retaken


Courses offered

Period Offer type Profile Programme Semester

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