Intermediate Effects in Psychodiagnostic Classification

نویسندگان

  • Cilia L.M. Witteman
  • John H.L. van den Bercken
چکیده

Most comparative studies of performance in psychodiagnostic classification contrast novices with very experienced clinicians, and do not include a group with an intermediate level of experience. We describe an empirical study involving 41 clinicians with three levels of experience. We asked novices, intermediates, and very experienced psychodiagnosticians to give the diagnostic (DSM) classification for 10 written cases. We found an intermediate effect in diagnosticians’ decision time and correctness: Intermediates performed worse and faster than both novices and very experienced clinicians. In line with most other studies, we found that experienced diagnosticians were not significantly more accurate than novices.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ontological assumptions of psychiatric taxonomy: main rival positions and their critical assessment.

The scientific classification of human psychopathology raises a host of important philosophical issues ranging over all major areas of philosophical inquiry; logic, semantics, ontology, epistemology and ethics. The paper focuses on the major views of the ontological status of our psychodiagnostic constructs; idealism, nominalism and finally, neoaristotelian realism. Idealism holds that our psyc...

متن کامل

Evaluating psychodiagnostic decisions.

RATIONALE Several frameworks can be used to evaluate decision making. These may relate to different aspects of the decision-making process, or concern the decision outcome. Evaluations of psychodiagnostic decisions have shown diagnosticians to be poor decision makers. In this essay we argue that this finding results from the evaluation of only one part of the diagnostic process. METHOD We put...

متن کامل

The Effect of Technological Changes on Employment: Regional I-O SDA Approach

I n this study, the Regional Input- Output Structural Decomposition Analysis (I-O SDA) is used to investigate the effects of technological changes on employment in Sistan and Baluchestan Province of Iran during 2006-2011. This paper develops the SDA method to decompose the technological change from two viewpoints of supply and demand for intermediate inputs in each sector. These chan...

متن کامل

Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007