Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.


32nd Annual Convention; Atlanta, GA; 2006

Event Details

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Panel #296
The Emerging Science of Cultural Analysis: Part 1, Current Analytic Work
Monday, May 29, 2006
9:00 AM–10:20 AM
Area: CSE/OBM; Domain: Applied Research
Chair: Mark A. Mattaini (Jane Addams College of Social Work, University of Illinois, Chicago)
MARK P. ALAVOSIUS (University of Nevada, Reno)
RAMONA HOUMANFAR (University of Nevada, Reno)
FRANCIS R. LAUX (General Motors, Retired)
MARK A. MATTAINI (Jane Addams College of Social Work, University of Illinois, Chicago)
Abstract: Skinner’s third level of selection, the scientific analysis of cultures and cultural practices, is an emerging area of international scholarship. Such work may prove to have enormous importance for addressing human, social and ecological issues worldwide. At the 2005 ABA convention, an international group of behavior analysts presented a symposium entitled, “Advancing the Analysis of Cultural Change: Metacontingencies, Interlocking Practices, and Research Agendas.” Those participating in the symposium and others subsequently met in Campinas, Brazil at a five day, ABA-sponsored Thinktank on the same subject. Participants in those meetings and others working in the area of cultural analysis will continue and extend that conversation in two roundtable panel discussions on The Emerging Science of Cultural Analysis at ABA 2006. Drawing on the work done in Brazil, in Part 1 panelists will focus on current empirical work, with some consideration of the implications for conceptual extensions of theory. Those implications will be discussed in depth in Part 2. The panelists will also elaborate options for expanding research agendas that can advance the field beyond its current heavy emphasis on interpretation toward increasing reliance on empirical testing.



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