MALK5000 Masteroppgave Emneplan

On successful completion of the course the student has the following learning outcomes classified as knowledge:

Knowledge

The student can

• describe and discuss radical behaviorism as a philosophy of science
• describe and discuss important aspects of verbal behavior
• describe and discuss verbal governance and contingency shaping of behavior
• describe and discuss principles involved in joint Control
• describe and discuss important aspects of stimulus equivalence
• describe and discuss the naming hypothesis
• describe and discuss Relational Frame Theory
• describe and discuss problem-solving, thinking, remembering, and higher-order classes of behavior

Skills

The student can

• analyze variables influencing complex human behavior

Coursework requirements from MALK4000-401, MALK4000-403, and MALKA211, or equivalent must be approved to participate and submit coursework requirements in MALKA214.

On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:

Knowledge

The student can

• discuss reliability
• discuss the term generality
• discuss validity, threats to inference, and different types of validity
• explain the role of replications when employing experimental designs
• 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 how to conduct a component analysis to decide the effective components in treatments
• consider how to conduct a parametric analysis to determine which values of consequences, like size and duration, are effective
• describe fundamental elements of inferential statistics
• describe and discuss functional analysis of behavior and describe how to conduct such analysis
• describe the basic principles for hypothesis testing using the binominal and normal distributions

Skills

The student can

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

Competence

The student can

• analyze data in a behavior change project

In the BSCA specialisation, campus-based lectures, discussions and exercises are the main teaching methods. Students read selected texts in advance for each day of class, and everyone is expected to participate in class through questions and through joining in discussion. In the BSII specialisation, the main teaching method is digital course sequences, and feedback on details of course content, and supervised discussion groups will be available during pre-determined time periods. Feedback on written assignments is used in both specialisations. Students must have download and installed SPSS on their computers before the course starts

The following required coursework must be approved before the student can take the exam:

• 2 individual assignments submitted digitally, each with maximum 12.000 keystrokes

All

Grade scale A-F

One internal and one external examiner will assess all exams.

One internal and one external examiner will assess all exams.