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Eksperimentelle design og funksjonell analyse

Emneplan

Engelsk emnenavn
Experimental Design and Functional Analysis
Emnekode
MALKA214
Omfang
10 stp.
Pensum
Pensum vår 2027 i Leganto
Timeplan
Timeplan i TP
Emnehistorikk
Emnehistorikk

Innledning

Emnebeskrivelsen finnes kun på engelsk. Velg engelsk versjon av nettsiden for å se fullstendig emnebeskrivelse.

Forkunnskapskrav

For kull 2025:Coursework requirements from MALKA211 or equivalent must be approved to participate and submit coursework requirements in MALKA214.

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

Læringsutbytte

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
  • describe central concepts of network theory and the contribution of social network analysis to the study of behavior

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 ethical considerations in functional and statistical analyses

Competence

The student can

  • analyze data in a behavior change project

Arbeids- og undervisningsformer

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. Feedback is used on written assignments is used. Students must have download and installed SPSS on their computers before the course starts.

Arbeidskrav og obligatoriske aktiviteter

None

Vurdering og eksamen

Individual school examination (multiple choice-test), 3 hours. Exam questions are in English.

Hjelpemidler ved eksamen

Authorized materials: Norwegian-English dictionary

Vurderingsuttrykk

Grade scale A-F.

Sensorordning

The exam is automatically graded. An examiner will quality assess the automatic grading. An external examiner is regularly involved in the development of the exam questions, at a minimum of every third examination.

Programplan

  • Masterstudium i atferdsvitenskap - spesialisering i begreper og anvendelse (2026 HØST)
  • Masterstudium i atferdsvitenskap - spesialisering i innovasjon og implementering (2025 HØST)
  • Masterstudium i atferdsvitenskap, deltid (2026 HØST)

OSLO METROPOLITAN UNIVERSITY
STORBYUNIVERSITETET

Postboks 4, St. Olavs plass
0130 Oslo
Tlf.: 67 23 50 00

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