Oh G-d, A Borderline: Clinical Diagnostics As Fundamental Attribution Error Page: I
The following text was automatically extracted from the image on this page using optical character recognition software:
Schmalz, Jonathan. Oh G-D, a Borderline: Clinical Diagnostics as Fundamental
Attribution Error. Master of Science (Psychology); December, 2011, 63 pp., 4 tables, 1
illustration, references, 95 titles.
Researchers raise concerns that the diagnostic approach can create stigma and lead to
clinical inferences that focus on dispositional characteristics at the expense of situational
variables. From social cognitive theory to strict behavioral approaches there is broad agreement
that situation is at least as important as disposition. The present study examined the clinical
inferences of graduate student clinicians randomly presented a diagnosis (borderline PD) or no
diagnosis and either randomly given context information or no context information before
watching a videotaped clinical interaction of a fabricated client. Responses to a questionnaire
assessing dispositional or situational attributions about the client's behavior indicated a diagnosis
of borderline personality disorder did not significantly increase dispositional attributions and did
not significantly moderate the importance of contextual factors. A notable difference between the
attributions made by psychodynamic and third wave behavioral respondents was observed.
Conceptual and experimental limitations as well as future directions are discussed.
Here’s what’s next.
This thesis can be searched. Note: Results may vary based on the legibility of text within the document.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Thesis.
Schmalz, Jonathan. Oh G-d, A Borderline: Clinical Diagnostics As Fundamental Attribution Error, thesis, December 2011; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc103389/m1/2/: accessed March 30, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .