Intermediate Statistics in SPSS and/or R

Duration

Dates

Block 1: 05-06/03/2025: Fundamentals (SPSS) 

Block 2: 25-27/03/2025: Linear and logistic regression (SPSS)

Block 3: 07-08/05/2025: Multilevel modeling (SPSS)

Block 4: 03-04/06/2025: Systematic review and meta-analysis (SPSS)

Block 5: 18-19/06/2025: Introduction to R for beginners: R environment, data cleaning, and basic statistical analyses (R)

It is not obligatory to attend all blocks. Participants can sign up to any number of blocks.

Time
The start time on DAY 1 of each teaching block is 10:00-15:30.
On DAY 2 (and 3) of each teaching block the start time is 09:00-15:30.

Teacher(s)

Ali Amidi, Bobby Zachariae, Karolina Ścigała, Mia Skytte O’Toole.

Course description

Learning outcomes

Across the five blocks of the course, participants will:

• Gain a theoretical understanding of basic and some advanced statistical analyses relevant to social sciences, particularly psychological research.
• Perform both basic and some advanced statistical analyses using IBM SPSS Statistics.
• Conduct basic statistical analyses using R.
• Learn to navigate R effectively for more advanced analyses, including exploring relevant packages, vignettes, tutorials, and other resources to support ongoing independent learning.

Content

The first four blocks of the course will provide students with a theoretical understanding of statistical methods and practical skills in conducting these methods using IBM SPSS Statistics. The fifth block will introduce participants to conducting basic statistical analyses in R, focusing on technical and practical skills, rather than theory. This block is suitable for students who have completed Blocks 1 and 2 and want to apply those analyses (e.g., correlations, t-tests, linear and logistic regression) in R, or for those already familiar with the theory behind these statistical methods. Participants will also learn to navigate R for more advanced analyses using various resources.

Please note that this course assumes prior undergraduate knowledge of introductory statistics. If you need a refresher, it is recommended that you attend the first block and review topics you do not feel confident in using the provided literature list. 

ECTS points

Blocks 1, 3, 4, and 5 amount to 3 ECTS per block. Block 2 amounts to 4 ECTS.

Please note that certification for a block will only be awarded if the corresponding assignment is submitted and approved, and that certificates will not be sent out until the whole course has been finished.

Expected workload

100-150 pages per course day as well as homework assignments.

The due dates for the homework assignments will be 2-3 weeks after each block.

PLEASE SEE DETAILS ON COURSE CONTENT, READING AND EXPECTED WORKLOAD

Language

English.

Target group

PhD students.

Venue

Aarhus University, Bartholins Allé 14, 8000 Aarhus C. Building 1327, room 026. Notice: On 27 March: 1327-024.

Coordinator

Karolina Ścigała.

Deadline for applying

31 January 2025.

Applicants will be informed whether they have been given a spot no later than 5 February 2025, and in any case no earlier than the deadline for applying mentioned above.

Maximal number of participants

25

Applying for the course 

Please complete the online application form.