September 7, 2016
Written by Maximus Peperkamp, M.S. Verbal Engineer
Dear Reader,
This is my eleventh response to “Verbal
behavior in clinical context: behavior analysis methodological contributions”
by Zamignani and Meyer (2007). In this paper the authors discuss different
types of analyses.
My analysis is of course not
included, but their work can bring the reader's attention to Sound Verbal Behavior (SVB) and
Noxious Verbal Behavior (NVB), two universal response classes which
characterize the expression and maintenance of positive and negative emotions.
Catania (1999) has said “The
analysis of more complex patterns can involve the identification of
relationships between events distant in time or response classes of a superior
order” but he doesn’t mention that SVB is necessary for such analysis as NVB
makes it impossible.
The problem
with analysis of more complex patterns of behavior is not that they are caused by events that are “distant in time or
response classes of a superior order”. Due to the high frequency of NVB and the
low frequency of SVB it is impossible to talk
about these matters.
NVB cannot
identify more complex patterns as it fixates on verbal categories. Even
“explanations with emphasis in response-consequence relationships” cannot make
the researcher aware of the SVB/NVB distinction. What is required is participation
in the conversation.
The
researcher or therapist needs to be reinforced for listening to him or herself
rather than for listening to somebody else. This self-listening makes a different kind of other-listening possible which sets the stage for SVB, which then will
make different data available.
“The
clinic is a privileged environment for the development of research. In this
situation we have access to verbal report data that, in another situation,
would be very difficult to access (Luna, 1997).”
For
therapy to be effective there must be a high rate of SVB and a low rate of NVB.
Researchers must also be therapists who capitalize on the fact that the clinic
situation can create a high probability for SVB.