Introduction to quantitative data analysis
doc. Mgr. Petr Ocelík, Ph.D.
Introduction to quantitative data analysis

Course Description

The course introduces the basics of quantitative data analysis to students. Each class consists of a lecture which introduces the theoretical background and “mechanics” of a given concept or method and a workshop where students use this knowledge through practical tasks.

The classes 1A/B, 2A/B, and 3A/B introduce a software used for data analysis and graphics, which is an open-source freeware R (https://cran.r-project.org/) and R Studio (https://www.rstudio.com/). Students will be familiarized with basic data formats, functions, and data manipulation techniques utilized later in the course. The course further introduces basic assumptions of statistical data analysis with a focus on levels of measurement, basic descriptive measures of central tendency, position, and variability. The other part of the course presents selected correlation coefficients and a chi-squared test as well as linear and multiple regression analyses. Students are obliged to submit assignments as specified further.

Upon successful completion of the course, students will be able to apply quantitative data analysis reasoning, specify appropriate techniques, and rigorously use them. The emphasis will be put on the practical use of this knowledge.


Course Requirements

The attendance is not compulsory but strongly advised. The lectures as well as workshops will be held online only via the Zoom meetings. The tutorial on downloading Zoom is here. Tutorial on joining Zoom meetings via a link is here.

To join classes 1A, 2A, and 3A, use this link: https://cesnet.zoom.us/j/94394381022

On Tuesday 6. X., 18:00-18:15, there will be a test of Zoom connection on the same link:  https://cesnet.zoom.us/j/94394381022

The only purpose of the test is to establish whether everyone enrolled in the course can join the meetings and can make audio and visual contact.

To join all the other classes, use this link: https://cesnet.zoom.us/j/94146307688

On Tuesday 6. X., 17:40-17:55, there will be a test of Zoom connection on the same link:  https://cesnet.zoom.us/j/94146307688

The only purpose of the test is to establish whether everyone enrolled in the course can join the meetings and can make audio and visual contact.

Students are expected to read the required readings for each class. Required readings for the course are to be found in either in electronic sources (databases or direct links), Faculty library, or in Study Materials folder in Information System. This semester all required materials will be available online.

The students will submit an assignment for each class (5 assignments in total). The specific instructions for the assignments are added as comments in the assignment scrips. The assignments are to be submitted via Information System to Homework Vaults in Study Materials within 6 days after the class (Tuesday included). Each of the assignments will be graded between 0 and 10 points. Thus, students can obtain up to 50 points.


Grading

The final grade will be calculated as a sum of the assignments. The maximum is 50 points; the minimum to complete the course is 30 points.

                                       44 – 50 points

B                                        41 – 43 points

C                                        38 – 40 points 

D                                        34 – 37 points

E                                        30 – 33 points

F                                        less than 30 points


Cheating and plagiarism

Cheating on a written exam or in any other part or aspect of the course will result in the reduction of the final grade to an F. Plagiarism is the use of material written by another person without referencing the source. Plagiary will receive no points and the final grade will be an F. The Disciplinary Commission will be notified about any cases of plagiarism.

In case of uncertainty about how to avoid plagiarism, please follow instructions mentioned on this link (https://www.sv.uio.no/english/studies/resources/sources-and-references/). In case you still have questions, please consult Petr Ocelík.

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