Statistics 1
Course infoSchedule
Course moduleSOW-PSB1RS10E
Credits (ECTS)6
CategoryB1 (First year bachelor)
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Psychology;
PreviousNext 2
dr. J.L. Ellis
Other course modules lecturer
dr. J.L. Ellis
Other course modules lecturer
Contactperson for the course
dr. J.L. Ellis
Other course modules lecturer
dr. J.L. Ellis
Other course modules lecturer
dr. S. Pieters
Other course modules lecturer
Academic year2021
PS3  (31/01/2022 to 08/04/2022)
Starting block
Course mode
RemarksYou can enrol to the workgroups until January 1 via Brightspace. See the instructions on Brightspace.
Registration using OSIRISYes
Course open to students from other facultiesNo
Waiting listNo
Placement procedure-

Upon completion of this course you will be able to:

  1. Give systematic data reports of basic research projects, including formulation of the conclusions
  2. Use the results of these reports to give individual scores according to various modules (standardisation, linear prediction)
  3. Draw correct statistical conclusions concerning histograms, scatter charts, bar charts and related figures, for both raw and transformed scores
  4. Apply the correct statistical method, compare this with (limitations of) intuitive human thought and substantiate this with descriptions of existing research
  5. Reproduce the principles of sampling theory in testing and estimating statistics, and apply them in elementary situations
  6. Communicate with others on how to analyse and interpret these situations, and identify imperfections or mistakes in your own analyses and interpretations, or those of others.
Psychology is based on human behaviour. It is therefore vital to use our own eyes to observe how people behave. The problem that we then encounter is that humans display great diversity and variety of behaviour, more than the average person can comprehend. As a result, researchers need statistics in order to make meaningful statements about human behaviour.
This is true of all four of the basic forms of psychological research: testing, passive observation, experimentation and theory. This is also true of every phase of the research cycle: collecting and coding data; arranging and summarising data, as well as interpreting it; and communicating with fellow researchers.
In this course you will develop a considerable amount of ready knowledge and skill, concerning the need for statistics in various forms and phases of research. The following key statistical concepts and skills will be explored:
  • Testing: scoring and setting standards
  • Passive observation: correlation and connection
  • Experimentation: size effect and t-test
  • Theory: simulation and testing.

Presumed foreknowledge

Test information
Assessments and weight
  • Four partial exams, each consisting primarily of open questions and four corresponding optional assignments.
  • A passing mark must be achieved for each partial exam; when this condition is met, each partial exam comprises 25% of the mark.
  • The optional assignments must be handed in on Brightspace no later than 72 hours before the corresponding parial exam.
  • The optional assignments are valid only if all requirements are met, as stated in the course manual (including sufficient attendance at work groups) and in the assignment itself.
Course enrolment
  • Enrolment for this course via Osiris is compulsory. Enrolment closes on January 1.
Work group enrolment
  • If you want to participate in a workgroup, you need to enroll separately for workgroups before January 1.
  • Before January 1, you can enrol for work groups via Brightspace after enrolling for the course.
  • After January 1, you cannot enrol to workgroups anymore the rest of the course.
  • When enrolling you must take into account your personal schedule for RP1, AS, the Brain and Cognition Practical, and any other required courses. It is not possible to change your work group because of a scheduling conflict once the course is in progress.
  • Communication concerning enrolment must always be directed to the lecturer of the course, never to mentors or other lecturers.
Required materials
Ellis, J. L. (2020). Applying Statistics in Behavioural Research. Amsterdam: Boom. 2nd edition
ISBN:978 90 8953 989 2
You may use a calculator with statistical and regression functions and a user guide; a graphic calculator is not permitted.
To be announced
Three additional chapters will be distributed electronically.

Instructional modes
Type of instructional modeAssignment

Discussion board on BB
Type of instructional modeDiscusion

Type of instructional modeLecture

Practice apps
Type of instructional modePractical computer training

There are 13 practice apps that strongly resemble the exam

Question-and-answer seminars
Type of instructional modeResponse course

Type of instructional modeWorking group

Register for workgroups on Brightspace before January 1, or else you cannot attend any workgroup during the whole course. Participation in work groups is not compulsory, but is strongly recommended. Experience has shown that the chance of a passing mark is proportional to the number of tutorials attended.

Preparation of meetings
All homework should be submitted the day before the workgroup

4 partial exams
Test weight1
Test typeExam
OpportunitiesBlock PS4, Block PS4