Programplaner og emneplaner - Student
MALKA214 Experimental Design and Functional Analysis Course description
- Course name in Norwegian
- Eksperimentelle design og funksjonell analyse
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Course history
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- Curriculum
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FALL 2022
- Schedule
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Introduction
On successful completion of the course, the student has the following learning outcomes classified as knowledge and competence:
Knowledge
The student can
- describe and discuss core concepts from research on respondent conditioning
- describe and discuss core concepts from research on operant conditioning
Skills
The student
- can identify in practical examples the terms of the operant paradigm
Competence
The student
- can describe and exemplify a functional analysis of behavior
- can describe selected experimental research that has been foundational in the development of behavior analysis as a science
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Required preliminary courses
Teaching and learning methods include lectures, exercises, oral presentations and discussion of reading materials. The lectures will partly be based on interteaching sequences using literature from the curriculum. Internet-based exercises consisting of programmed instructions will be used.
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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
- describe and discuss reliability
- describe and discuss the term generality
- describe and discuss validity, threats to inference, and different types of validity
- explain the role of replications in experiments
- discuss variability related to single subject designs and group-designs
- describe and discuss advantages and disadvantages of various experimental designs
- explain repeated measurements and when to conduct such measurements
- describe fundamental elements of inferential statistics, including hypothesis testing
- describe and discuss experimental methods for conducting reinforcer assessment and the functional analysis of behavior
- describe the basic principles for hypothesis testing using the binominal and normal distributions
Skills
The student can
- design simple experiments
- run and interpret common statistical tests
- interpret graphical displays of behavioral data and to present data in graphical form
- discuss ethics concerning the functional analysis of behavior
Competence
The student can
- analyze data in a behavior change project
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Teaching and learning methods
Individual written examination with invigilation, 4 hours. Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English.
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Course requirements
None
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Assessment
Grade scale A-F
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Permitted exam materials and equipment
One internal and one external examiner will assess all exams.
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Grading scale
Grade scale A-F
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Examiners
One internal and one external examiner will assess all exams.