PHBA8230 Pervasive Developmental Disorders - diagnosis, aetiology, prevalence and intervention Emneplan

General admission requirements for the Ph.D. Degree in Behavior Analysis.

Basic knowledge about autism and ABA intervention, and techniques (i.e. discrete trial training experience; intervention programs, measuring and recording behavior; reinforcement systems)

The student will be able to:

• describe and discuss pervasive developmental disorders with respect to aetiology and prevalence
• describe and discuss findings of medical and biological studies in autism spectrum disorders
• describe and discuss findings in studies of Early Intensive Behavioral Intervention with persons with autism, emphasizing short and long-term effects, maintenance strategies, and the transfer of staff and teacher knowledge and skills during transitions between education providers or service providers
• demonstrate practical skills in planning and implementing specific education and skills training programs for persons with autism in an educational or residential setting
• describe and discuss knowledge dissemination strategies aimed at service and education providers
• describe and discuss criteria for Empirically Supported Treatments

The course consists of 1 introductory meeting, and 6 - 12 seminars of 4 x 45 minutes, and time for discussion and a final seminar (4 x 45 minutes). The introductory meeting takes place 2 weeks ahead of the main part of the course. At this meeting, the structure, content and purpose of the course are presented. The students are asked to give short presentations of their Ph.D. projects, and describe how the course is relevant to it. The main purpose of this early session is to help the students to start systematic work with the course readings.

The seminars target central themes from the course readings for discussion and reflection. A high level of student participation is expected. During this time, students will produce several reaction papers (3 - 4 pages double spaced), and a final presentation of one central theme from the course. Themes are assigned by the lecturers.

The final seminar consists of a discussion of the presentations, which are distributed in advance as papers not to exceed 10 pages double spaced, and introduced by each candidate in a short (3 minute) session. Course teachers mediate the discussions.

Students will be able to:

• give a general description of methods relevant to the collection and interpretation of data in research in behavior analysis and learning in complex systems
• discuss specific methods of data collection and their appropriateness for answering different kinds of research questions
• describe and discuss various statistical methods appropriate to the collection and interpretation of data in research in learning in complex systems
• describe and discuss criteria for validity and reliability, and of methods of assessing them
• describe and discuss criteria for ESTs
• describe and discuss the rationale for single-case research designs
• describe and discuss the interpretation and application of descriptive and inferential statistical techniques required for an understanding of data presentations in psychological research
• describe, discuss and apply the necessary operations for extracting measures of central tendency, variability and frequency distributions from a data set
• produce graphical presentations of data
• describe and discuss the normal curve
• describe and discuss basics of probability theory, and show how it applies to their own research and that of others
• describe and apply general principles for hypothesis formulation and testing
• describe and discuss the application of the t-test; analysis of variance (ANOVA); multivariate analysis of variance (MANOVA); multiple regression; and correlation
• apply the relevant statistical tools and concepts to their own research

The course consists of 1 introductory meeting, and 6 - 12 seminars of 4 x 45 minutes, and time for discussion and a final seminar (4 x 45 minutes). The introductory meeting takes place 2 weeks ahead of the main part of the course. At this meeting, the structure, content and purpose of the course are presented. The students are asked to give short presentations of their Ph.D. projects, and describe how the course is relevant to it. The main purpose of this early session is to help the students to start systematic work with the course readings.

The seminars target central themes from the course readings for discussion and reflection. A high level of student participation is expected. During this time, students will produce several reaction papers (3 - 4 pages double spaced), and a final presentation of one central theme from the course. Themes are assigned by the lecturers.

The final seminar consists of a discussion of the presentations, which are distributed in advance as papers not to exceed 10 pages double spaced, and introduced by each candidate in a short (3 minute) session. Course teachers mediate the discussions.

• All papers approved,
• attendance in at least 80 % of the seminars, and
• approved paper presentation in final seminar.

Portfolio.

Portfolio requirements: 4 reaction papers

All