Midwestern university's program in clinical psychology prepares you to work as part of the healthcare team providing compassionate care to diverse individuals and groups.Cognitive machine learning our evidence-based program centers on your development as a competent, thoughtful clinical psychologist. That's why our caring faculty experts maintain diverse clinical practices and provide you with the essential diagnostic, therapeutic, and consultative skills you need to build your future as a respected clinical psychologist.Cognitive machine learning you'll benefit from a student-focused curriculum integrated with research and field experiences designed to help you make a meaningful contribution as a clinician.Cognitive machine learning apply now

The midwestern university community has been saddened to learn the news about the sudden closure of argosy university and the detrimental impact this has had on their students and faculty.Cognitive machine learning we have been in communication with national and state educational agencies, as well as our specialty accrediting agency, to determine how we can best assist former argosy students.Cognitive machine learning we are committed to upholding the high standards of excellence we have established at our doctor of clinical psychology (psy.D) degree programs at both our downers grove, IL, and glendale, AZ, campuses.Cognitive machine learning while we have a limited capacity, our goal is to be able to assist as many argosy students as possible to continue their education.

At this time, we have committed to be a receiving institution for argosy students as our capacities allow.Cognitive machine learning we are working with our accrediting agency to establish a transition plan, which will include details about transferring didactic and clinical training experiences.Cognitive machine learning we appreciate your patience as we work through all the necessary processes to ensure our continued ability to deliver the highest level of academic quality for all of our students.Cognitive machine learning

Consistent with the program's mission, educational and training philosophy, and aims, the faculty emphasizes in its didactic and clinical curricula that science informs practice as practice informs science.Cognitive machine learning the program demonstrates their interdependency by integrating theory with research as both apply to clinical situations and experiences to help students understand bidirectional influences of science and practice.Cognitive machine learning degree description

The doctor of psychology degree is designed to be a professional degree similar to the doctoral degrees provided in medicine, law, pharmacy, physical therapy, and dentistry.Cognitive machine learning the psy.D. Is considered the degree of choice for persons interested in becoming a practitioner scholar when pursuing a career in clinical psychology.Cognitive machine learning the program emphasis is on the development of the essential diagnostic, therapeutic, and consultative skills for the practice of clinical psychology.Cognitive machine learning

The program of study follows the recommendations of the american psychological association (APA) for broad and general education and training for health service providers.Cognitive machine learning students are educated and trained in the current body of knowledge in the following discipline-specific domains: the biological aspects of behavior, cognitive and affective aspects of behavior, social aspects of behavior, history and systems of psychology, psychological measurement, research methodology, techniques of data analysis, individual differences, human development, dysfunctional behavior and psychopathology, professional standards and ethics, theories and methods of assessment and diagnosis, effective interventions, consultation, supervision, efficacy of interventions, issues of cultural and individual diversity, and attitudes essential for lifelong learning, scholarly inquiry, and professional problem-solving.Cognitive machine learning the program centers on the development of appropriate attitudes, knowledge, and skills reflected in the training competencies of relationship, assessment, intervention, research/evaluation, consultation/education, management/supervision, diversity, and professionalism.Cognitive machine learning

Research competency: the research competency rests on the student's understanding of research, research methods, and techniques of data collection and analysis.Cognitive machine learning students will also understand the reciprocal relationship between science and clinical practice. Students are expected to be able to use this knowledge to critically evaluate and solve novel problems, to independently formulate research or other scholarly activity of sufficient quality and rigor to potentially contribute to the scientific or professional knowledge base, and to disseminate such research or scholarly activity via professional publications and presentations at the local, regional or national level.Cognitive machine learning

Ethics and legal standards competency: this competency includes having a working knowledge of ethical, legal and professional standards and guidelines at the organizational, local, state, and federal level.Cognitive machine learning students are expected to act in accordance with those standards and guidelines and conduct themselves in an ethical manner in all professional activities.Cognitive machine learning this competency also includes the ability to recognize ethical dilemmas when they arise and to apply ethical decision making in order to resolve those dilemmas.Cognitive machine learning

Individual and cultural diversity competency: this competency stresses that students will develop the ability to conduct all of their professional activities with sensitivity to human diversity and will demonstrate an ability to work effectively with diverse individuals and groups.Cognitive machine learning students must demonstrate knowledge, awareness, sensitivity and skills when working with diverse individuals and communities who embody a variety of cultural and personal backgrounds and characteristics.Cognitive machine learning as such, students must demonstrate an understanding of their own personal/cultural history, attitudes and biases that may affect their understanding and interaction with others, have knowledge of the current theoretical and empirical knowledge base related to addressing diversity in professional activities, and show the ability to integrate this awareness and knowledge of individual and cultural differences in the conduct of their professional roles.Cognitive machine learning

Professional values, attitudes and behavior competency: this competency is evidenced by the ability to demonstrate an adherence to the professional values, attitudes and behaviors that define the profession of psychology.Cognitive machine learning this includes honesty, integrity and personal responsibility, as well as concern for the welfare of others. It includes one's professional identity as well as deportment in interactions with clients and with others including peers, supervisors, faculty, and other professionals.Cognitive machine learning students are expected to demonstrate openness and responsiveness to feedback and supervision. Professionalism also includes the capacity for self-reflection, self-care and an appreciation of lifelong learning.Cognitive machine learning

Communication and interpersonal skills competency: communication and interpersonal skills are foundational competencies for health service psychology.Cognitive machine learning this competency requires a demonstration of the ability to relate effectively and meaningfully with a wide range of individuals, groups and communities.Cognitive machine learning this includes the ability to form and maintain productive and respectful relationships with clients, peers, supervisors, and other professionals.Cognitive machine learning this competency also entails the ability to produce and comprehend nonverbal, oral and written communication and to have a thorough grasp of professional language and concepts.Cognitive machine learning students are expected to demonstrate effective interpersonal skills and to be able to manage difficult communication or conflict.

Assessment competency: the assessment competency involves the evidence-based assessment and diagnosis of problems, capabilities and issues associated with individuals, groups, or organizations.Cognitive machine learning it includes knowledge of principles of measurement and psychometrics. This competency also requires the knowledge and skills necessary for effective selection, administration, scoring and interpretation of assessment measures appropriate to the specific purpose or goals of the assessment and the individual being assessed.Cognitive machine learning the assessment competency also requires an ability to synthesize multiple sources of data to develop appropriate diagnoses, conceptualizations and treatment plans and to communicate that information in an effective oral and written manner to a range of audiences.Cognitive machine learning

Intervention competency: the intervention competency requires students to demonstrate the knowledge, skills and attitudes necessary to conduct evidence-based interventions with individuals, families, groups and other systems.Cognitive machine learning this competency encompasses the ability to establish and maintain effective therapeutic relationships, develop case formulations and implement treatment plans using relevant theory and research for effective clinical decision making.Cognitive machine learning it includes the ability to monitor and evaluate the effectiveness of chosen intervention approaches and to appropriately revise treatment strategies as necessary and appropriate.Cognitive machine learning

Supervision competency: the supervision competency requires students to be able to demonstrate a knowledge of supervision models and practices.Cognitive machine learning this includes having knowledge of how trainees and clinicians develop into skilled professionals, knowledge of the procedures and processes of effective supervision, and knowledge of how to effectively evaluate those skills in others.Cognitive machine learning

Consultation and interprofessional/interdisciplinary competency: the consultation and interprofessional/interdisciplinary competency requires students to demonstrate knowledge of consultation models and practices, and to demonstrate respect for the roles and perspectives of other professions.Cognitive machine learning it involves the ability to function in interdisciplinary contexts, and interact collaboratively with professionals in other disciplines in order to seek or share knowledge, address problems, promote effective professional activities and enhance outcomes.Cognitive machine learning program philosophy

The doctor of psychology in clinical psychology program follows the practitioner scholar model of preparation that was accepted by the american psychological association at the vail conference.Cognitive machine learning this model recognizes the ongoing need in society for expertly trained practitioners in the field of clinical psychology. The practitioner scholar philosophy dictates that competent practitioners are required to have an extensive understanding of the theoretical principles in the clinical practice of psychology and the ability to utilize the knowledge in specific clinical situations.Cognitive machine learning this program philosophy is to educate and train individuals to enter careers emphasizing the delivery of direct psychological services and consultation.Cognitive machine learning relevant theory, research, and field experiences are integrated toward the development of competent and ethical practitioners who are respectful of individual and cultural differences in the provision of psychological services.Cognitive machine learning administrative policies and procedures