Quantitative Methods (5cr)

Evaluation scale

H-5

Objective

After completion of the course the student is able to
- collect quantitative data
- apply the statistical descriptive methods using statistical SPSS software
- apply multivariable methods and statistical tests using statistical SPSS software
- execute quantitative research process.

Execution methods

Teaching profile: HYBRID 3.

Accomplishment methods

Completing the exercises and a final work.

Content

The quantitative research process step by step: data collection, questionnaire design, descriptive statistics, statistical tests, multivariable methods (cluster analysis, factor analysis, regression analysis, logistic regression analysis).

Location and time

The web course can be studied year-round. The contact teaching for the hybrid course will take place in November 2024, while the other parts can be studied throughout the year.

Materials

The recordings of lectures and exercises, as well as other teaching materials, are available on Moodle.

Literature: 

Hair et al.: Multivariate Data Analysis

Teaching methods

The course can be studied as web course and a hybrid course. In the web course, the teaching is provided through lecture and exercise recordings available on Moodle. In addition to lecture and exercise recordings, it is also possible to participate in contact teaching in the hybrid course.

The course includes lectures and exercises (36 hours) and a final work.
The student must successfully complete all exercises. The final work will be evaluated on a scale of 1-5. The descriptions of the tasks are available on Moodle, and the assignments are also submitted through Moodle.

Assessment criteria, satisfactory (1)

Fail (0): Performance is highly deficient or erroneous. The work may be based on serious misunderstandings.

Sufficient (1): Performance is lacking in scope, superficial, or corresponds poorly to the assignment. The work contains errors or obscurities.

Satisfactory (2): Performance corresponds poorly to the assignment. The author merely lists things out of context or addresses them one-sidedly. The work may contain errors or obscurities.

Assessment criteria, good (3)

Good (3): Performance corresponds to the assignment. The author has addressed the issue comprehensively. The work may contain some deficiencies.

Very good (4): Performance corresponds well to the assignment, manifesting comprehension and a skill to analyse and justify. The author has addressed the issue comprehensively.

Assessment criteria, excellent (5)

Excellent (5): Performance delineates an extensive whole and the author can apply knowledge in a multifaceted way or place it in various contexts. The work manifests independency and insight, and it is a flawless entity that involves justified thinking or critical contemplation. The work is well written and implemented.

Further information

The course utilizes the SPSS software, which students can download for free onto their computers from the self-service portal:
https://luc.service-now.com/lucportal?id=sc_cat_item&sys_id=d1ed1eb11b376c10b0b2b912dd4bcb03