EPN-V2

PSYK2600 Research Methods 3 - Research Designs and Statistics Course description

Course name in Norwegian
Forskningsmetode 3 - Forskningsdesign og statistikk
Weight
10.0 ECTS
Year of study
2019/2020
Course history
Curriculum
SPRING 2020
Schedule
  • 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

    • has broad knowledge of general research methods
    • has broad knowledge of different research designs and validity
    • has knowledge of descriptive statistics
    • is familiar with probability and significance testing
    • is familiar with hypothesis testing, type I and type II errors
    • is familiar with basic statistical analyses

    Skills

    The student is capable of

    • assessing research results from published studies and the validity of the findings
    • designing a good study and completing simple statistical analyses of his/her own data

    Competence

    The student is capable of

    • communicating 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

    • Participation in compulsory teaching activities (80%)

  • 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

    A–F. A grade will be awarded on the basis of 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.