EPN-V2

MALKA214 Experimental Design and Functional Analysis Course description

Course name in Norwegian
Eksperimentelle design og funksjonell analyse
Weight
10.0 ECTS
Year of study
2019/2020
Course history
Curriculum
FALL 2019
Schedule
Programme description

  • Required preliminary courses

    Coursework requirements from MALK 4000-401, 4000- 402, 4000- 403, MALKA 211, MALKA 212 and MALKA 213 or equivalent must be approved to participate and submit coursework requirements in MALKA214.

  • Learning outcomes

    On successful completion of the course, the student has the following learning outcomes

    classified as knowledge, skills and competence:

    Knowledge

    The student

    • can discuss experimental logic
    • can discuss reliability
    • can discuss the term generality
    • can discuss validity, threats to inference, and different types of validity
    • can explain the role of replications when employing experimental designs
    • can discuss variability related to single subject designs and group-designs
    • can describe and discuss advantages and disadvantages of various experimental designs
    • can explain repeated measurements and when to conduct such measurements
    • can describe how to conduct a component analysis to decide the effective components in treatments
    • can consider how to conduct a parametric analysis to determine which values of consequences, like size and duration, are effective
    • can describe fundamental elements of inferential statistics
    • can describe and discuss functional analysis of behavior and describe how to conduct such analysis
    • can describe the basic principles for hypothesis testing using the binominal and normal distributions
    • can describe typical developmental milestones in children

    Skills

    The student

    • can arrange simple experiments
    • can interpret graphical displays of behavioral data and to present data in graphical form

    Competence

    The student

    • can analyze data in a behavior change project

  • Content

    Reliability; validity; generality; single subject designs; group designs; component analysis; descriptive and inferential statistics; functional analysis; developmental milestones in children.

  • Teaching and learning methods

    None

  • Course requirements

    A grading scale of A (highest) to F (lowest) where A to E is a pass grade and F is a fail grade

  • Assessment

    One internal and one external examiner

  • Permitted exam materials and equipment

    Behaviorism; philosophy of science; verbal behavior; rule-governed behavior; joint control; stimulus equivalence; naming; problem-solving; Relational Frame Theory.

  • Grading scale

    A grading scale of A (highest) to F (lowest) where A to E is a pass grade and F is a fail grade

  • Examiners

    One internal and one external examiner