The primary objective of School Psychology training at USM is to prepare behavioral scientists who can apply their skills to the solution of a broad range of problems related to the processes of schooling. Generalized empirically-based problem-solving skills represent the program's primary emphasis and are seen as essential in order for graduates to assume the diversity of roles associated with School Psychology today and in the future. All training in School Psychology is based on the scientist-practitioner model with special emphasis on integration of the scientist and practitioner dimensions.
The goal of integrating the science and practice dimensions of the scientist-practitioner model is approached through incorporation of an additional training scheme designated as the Data-Based Problem-Solver model (DBPS). One of the program's primary training objectives is to produce school psychologists who approach their professional activities from a cohesive frame of reference: that of a Data-Based Problem-Solver. The DBPS model teaches students to view all school psychological functions from a problem-solving perspective requiring systematic progression through the steps of (a) problem identification, (b) problem solution, and (c) problem evaluation. In addition, the DBPS stresses the importance of basing hypotheses and conclusions at each step on empirical data.
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Training in the Science area
The Practice area
Entry level preparation
The Education dimension includes coursework and experience related to: (a) Professional Issues, (b) Scientific Methodology, and (c) Theory and Data Bases. Since School Psychology is viewed as a sub-specialty of generic Psychology, training in these areas is provided relative to both the general discipline of Psychology and the School Psychology specialty area. The study of Professional Issues familiarizes students with the major professional organizations and their contributions to the discipline of Psychology and the profession of School Psychology.
Training elements in the Professional Issues area include: professional organizations, standards, ethics, and credentialing; and an introduction to School Psychology. The study of Scientific Methodology provides students with an empirical orientation and the skills to critically evaluate and contribute to the literature of Psychology and School Psychology. Training elements in the Scientific Methodology area include: research design and methodology, scientific writing, research in school psychology, and research participation including thesis and dissertation development. Study in the Theory and Data Bases area provides students with experience in the identification and critical evaluation of theory and data. Specific training elements in the Theory and Data Bases area include: biological and social bases; normal and abnormal development; and educational foundations.
The Training dimension represents supervised experience in the application of problem-solving skills to problems encountered by school psychologists in the schools. Supervised field experiences begin during the first semester of training, promoting an early integration of theory and practice, and continue throughout the program. The specific training elements associated with the Training dimension are organized around the problem-solving components of: (a) problem identification, (b) problem solution, and (c) problem evaluation. Other School Psychology training programs often label similar components as: (a) assessment, (b) intervention, and (c) evaluation. Use of the more general problem-solving terms reflects a conviction that general rather than specific problem-solving strategies are necessary to adequately prepare students to assume the variety of roles expected of school psychologists today and in the future. While the acquisition of specific problem-solving skills associated with the typical roles of school psychologists today constitutes a major focus of field training, students also gain experience in the use of their generalized skills to acquire new information and problem-solving strategies to develop solutions appropriate to the unpredictable problems encountered in the field. Under the supervision of program faculty, students representing each year level work together in teams providing supervisory experience for advanced students and allowing for observational learning by beginning students.