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Course Syllabus

SW 2850 Behavioral Science Analytics & Evaluation

  • Division: Social and Behavioral Science
  • Department: Behavioral Science
  • Credit/Time Requirement: Credit: 3; Lecture: 3; Lab: 0
  • Semesters Offered: Fall, Spring
  • Semester Approved: Spring 2026
  • Five-Year Review Semester: Fall 2030
  • End Semester: Fall 2031
  • Optimum Class Size:
  • Maximum Class Size:

Course Description

This applied course introduces students pursuing the Behavioral Health Technician Certification or other social science majors to varying processes of data collection, evaluation, and assessment in a wide array of behavioral health fields ranging from clinical environments, to conducting and interpreting research, to program evaluation, and more. This course is cross-listed as PSY 2850.

Justification

This course gives students early exposure to some of the more challenging facets of behavioral health fields. It will make students more likely to succeed in future courses and help them become more capable consumers and creators of data. This course is also required as a core course for the Behavioral Health Technician Certification.

Student Learning Outcomes

  1. Upon successful completion of this course, students will be able to demonstrate competency in the valid and ethical collection, use, and interpretation of data.
  2. Upon successful completion of this course, students will be able to apply the basic principles of psychometric assessment and interpretation.
  3. Upon successful completion of this course, students will be able to utilize correct intake procedures, data collection, and interpretation processes.
  4. Upon successful completion of this course, students will be able to conduct program evaluations.
  5. Upon successful completion of this course, students will be able to develop a basic practice-based efficacy or quality-improvement assessment grounded in ethical standards.

Course Content

This course will have content such as, but not limited to:
- Structured clinical interviewing documentation
- Intake assessments and interpretation
- Basics of psychometrics
- Psychometric interpretation
- Treatment plan outcome tracking & monitoring
- Data collection and use
- Program evaluation
- Data informed decision making in organizations
- Performing risk screenings
- Presenting data & findings, evaluations (written, short-form, public, spoken)