EPN

PSYK2600 Research Methods 3 - Research Designs and Statistics Course description

Course name in Norwegian
Forskningsmetode 3 - Forskningsdesign og statistikk
Study programme
Bachelorstudium i psykologi med vekt på atferdsanalyse
Weight
10.0 ECTS
Year of study
2022/2023
Curriculum
SPRING 2023
Schedule
Course history

Introduction

Research methods and statistics play a key role in behaviour and social research, and a basic understanding of methodological and statistical concepts is necessary to be able to read research articles and assess the quality of data and findings.

Required preliminary courses

Passed the course PSYK2100

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge 

The student can

  • describe general research methodology
  • describe basic research designs and the different types of validity
  • explain the application of descriptive statistics
  • describe the general principles of statistical hypothesis testing
  • explain Type l and Type II errors
  • explain different types of basic statistical analyses and their application

Skills 

The student can

  • assess research results from published studies and the validity of the findings
  • design a good study and complete simple statistical analyses of his/her own data

Competence 

The student can

  • communicate the basic principles of research methodology, hypothesis testing and statistics

Teaching and learning methods

Work and teaching methods used in the course are lectures, self-study and group work. A seminar day will also be held where students are given practical exercises in using simple statistical analysis and interpreting results.

Course requirements

To prepare for the examination must the following obtain approved:

  • participation in compulsory teaching activities (100%)

Assessment

Portfolio exam comprising four tests and a digital, supervised written exam lasting four hours. All four tests must be approved before the student can take the digital, supervised written exam. All the components must be awarded a pass grade before the exam as a whole can be passed.

If the student fails one test, the student can retake this test. Resit/rescheduled attempts at the four tests can be taken once before the ordinary, digital, supervised written exam. Before the resit/rescheduled digital, supervised written exam, students will be given a third and final attempt at one or more of the tests.

Permitted exam materials and equipment

None

Grading scale

Grade scale A-F. A grade will be awarded based on the tests taken during the course (60%) and the result of the final written exam (40%). The student has a right to appeal the overall exam grade for the whole portfolio

Examiners

One internal examiner. A programme supervisor will evaluate the form of assessment.