This is a statistics-oriented course that focuses on various aspects of regression analysis (general and generalized linear models).

Supervised experience in application of diagnostic and interviewing techniques in a counseling service. May be repeated to a maximum of 12 credits. Lecture, three hours; laboratory, eight hours per three credit hours.

Supervised experience in application of diagnostic and interviewing techniques in a counseling service.

Supervised experience in application of diagnostic and interviewing techniques in a counseling service.

A general review of and development of basic competence in the major intervention strategies applicable to the amelioration of children's common learning and adjustment difficulties in the school setting.

A study of the rationale and techniques used in consultation with teachers, parents, administrators and other school personnel for the purpose of both preventing and alleviating the learning and adjustment difficulties of individual or groups of school-aged children.

Supervised experience in the application of psychoeducational, diagnostic assessment, intervention, and consultation services in a school setting. Requires minimum three hours of on-site activities per credit hour. Students will have a primary supervisor at their school site. Students will attend class meetings in a didactic format. Students will have a university supervisor who will serve as a secondary supervisor and communicate and coordinate on-going communication with the school-based supervisor. May be repeated to a maximum of 18 credits.

Supervised experience in the application of psychoeducational diagnostic assessment, intervention, and consultation services in a clinic, school, or community setting. Requires three hours of on-site activities per credit hour and weekly supervision meetings. May be repeated to a maximum of 18 credits.

This course is designed to educate students about ethical and legal issues related to the practice of psychology. An emphasis is placed on learning the current APA ethical code of conduct, mental health laws, and ethical decision-making models.

Multivariate statistics will prepare students to understand multivariate statistical methods and draw the link between statistics previously learned. Students will be able to conduct, interpret, and critique procedures such as factorial ANOVA, multiple regression, MANOVA, ANCOVA, MANCOVA, PCA, EFA, discriminant function analysis, logistic, regression, canonical correlation, hierarchical linear regression, and multivariate analysis of change. Become familiar with statistical software for implementing multivariate procedures.