Name of the PhD course
Intermediate Statistics Using SPSS
Dates
2-3 February, 2023
16-17 March, 2023 (amended)
13-14 April, 2023
22-23 May, 2023 (amended)
1-2 June, 2023
Time
The start time on DAY 1 of each teaching block is 10:00-15:30 (2/2, 16/3, 13/4, 22/5, 1/6).
On DAY 2 of each teaching block the start time is 09:00-15:30 (3/2, 17/3, 14/4, 23/5, 2/6).
Venue
Aarhus University, building 1325, room 440.
Coordinator
Sinué Salgado
Teacher(s)
Sinué Salgado, Ali Amidi, Bobby Zachariae, Mia Skytte O’Toole.
Language
English
ECTS points
Up to 15 ECTS points (see below).
Course description
Objective: The aim of this course is to provide participants with a broad intermediate-level competence in carrying out common quantitative psychological analyses using IBM SPSS Statistics software, as well as to introduce a few subjects on more advanced statistics using IBM SPSS Statistics software.
Content: The course begins with a brief review of basic statistical concepts and tests followed by more detailed instruction on: (i) Multiple regression including mediation/moderation; (ii) Factorial ANOVAs, (iii) Logistic regression, (iv) Multi-Level Modelling; and (v) Systematic review and meta-analyses.
Please note that this course assumes previous undergraduate knowledge of introductory statistics. It is recommended that if you need a brush-up, you review the suggested readings for the first two days of class before the course begins.
Format and Evaluation: The course includes a combination of lectures and practical instruction using SPSS. Focus will be on giving participants hands-on experience with each type of analysis. Practical exercises will be assigned for each session; some of these exercises will be done collectively during the teaching day and others must be completed independently.
The course consists of five modules in total. In order to receive a certificate of completion and ECTS points for a module, participants must submit and receive approval of the corresponding assignment. The specific number of ECTS points awarded is determined as follows: 1 assignment + 2 days of attendance = 3 ECTS (1 module); 2 assignments + 4 days of attendance = 6 ECTS points (2 modules); 3 assignments + 6 days of attendance = 9 ECTS points (3 modules), 4 assignments and 8 days of attendance = 12 ECTS points (4 modules), all 5 assignments + full attendance (10 days) = 15 ECTS points (5 modules).
Priority will be given to students who can attend all of the course, but it is possible to attend specific modules if space is available. Notice that certification for a module only is awarded if the corresponding assignment is submitted and approved, and that certificates are not sent out until the entire course is finished.
Reading
The core recommended text for the course is Field, A. (2018). Discovering Statistics Using SPSS, 5th Edition. Sage Publications.
Expected workload: 100-150 pages per course day as well as homework assignments.
The due dates for the homework assignments are as follows:
Assignment 1: February 24, 9am
Assignment 2: March 24, 9am
Assignment 3: April 28, 9am
Assignment 4: May 26, 9am
Assignment 5: June 23, 9am
PLEASE SEE DETAILS ON COURSE CONTENT, READING AND EXPECTED WORKLOAD
Target group
PhD students.
Deadline for applying: 31 December 2022.
Applicants will be informed whether they have been given a spot no later than on 6 January 2023; not before the above deadline for applying.
Maximal number of participants
25