822187 :Statistics for CSAI


Voertaal Engels
Werkvorm: 14 lectures + 14 practice sessions (Collegerooster)
Tentamenvorm: Computer exam and take home exam (Tentamenrooster)
Studielast:6 ECTS credits
Inschrijving:Enrollment via Blackboard before start of lectures
Blackboard informatieLink to Blackboard (Als u de melding 'Guest are not allowed in this course' krijgt, dient u nog bij Blackboard in te loggen)


A.T. Hendrickson

Doel van de cursus

The overarching objective of this course is to acquire the academic skill to analyze and interpret quantitative data in order to answer a research question.

To achieve the above objective, this course covers the whole process of data-analysis:  (a) choosing the right analysis, (b) data exploration, (c) data analysis, (d) interpreting analyses and (e) correctly reporting analyses.
The learning goals for the student are: 
1.  To understand the rationale behind null hypothesis testing, its limitations and alternatives.
2.  To know how to work with a data set using statistical software such as SPSS or R (e.g. create new variables, recode variables, ask for descriptive statistics, make graphs). 
3.  To know what the assumptions are of parametric tests and how to test them in statistical software. 
4.  To be able to choose the appropriate statistical test for a given research question.  
5.  To be able to carry out t-tests, one-way ANOVA, factorial ANOVA, non-parametric tests, correlation, linear regression and Chi-Square test in statistical software, including bootstrapped confidence intervals of effects. 
6.  To be able to provide sound interpretations of such analyses and report the results accurately and accessibly (following the current APA style).

Inhoud van de cursus

This course provides an introduction in basic statistical analyses using statistical software such as SPSS or R. The course is built around the book `Discovering Statistics using SPSS’, which makes use of many examples and provides step-by-step explanations of how to approach your data; making statistics as entertaining as possible. This course will cover descriptive analyses, correlation, regression, t-tests, one-way ANOVA, factorial ANOVA, and chi-square analysis. You will learn what these analyses do and how to run them using statistical software. At the end of the course you will be able to test whether data support a given hypothesis or not and to write a report on the analysis according to APA style.

Not only for your own research, but also to understand the results sections of empirical articles and to be able communicate critically about this type of research, will you need statistics. Knowledge of statistics is an important asset for the labor market, as jobs in the field of Cognitive Science and AI require the analysis and interpretation of data. 


You need statistical software if you want to make the assignments for this course at home. Most students will use SPSS Statistics 18 or higher. You can buy this program via www.surfspot.nl. Students in the bachelor CSAI and premasters DSBG and CSAI will make (additional) use of the package R (open source). For you own convenience you should make sure to have this program before the course starts.

Students have to take part in "proefpersoonuren" for 15 hours. (check out http://www.tilburguniversity.edu/students/studyding/regulations/oer/humanities/) . Students can enrol via this link for research: http://uvt.sona-systems.com/ 


Verplichte literatuur

  1. Field, A., Discovering Statistics Using SPSS, Forth Edition. (you may also use the third edition of this book, but mind that there are some changes in the chapters), Sage Publishers, 2013, ISBN 9781446249178.

Aanbevolen literatuur

  1. Publication Manual of the American Psychological Association (6th ed.) (2010). Washington, D.C.: American Psychological Association..

Gewenste voorkennis


Vereiste voorkennis


Verplicht voor

  • Bachelor CIW: Cognitive Science and Artificial Intelligence ( 2017 )
  • Keuzevakken ( 2017 )