This course is intended to develop the student’s advanced research and analytical skills. It will focus on the theory of inquiry, the logic, reality, and structure of investigative enquiry, as well as data analysis, methodologies of measurement models and reporting of results. Emphasis will be placed on data gathering and statistical techniques. The student will be introduced to multivariate statistical analysis techniques, using SPSS for application in the law enforcement and forensics fields. Various models of measurement, including quantitative, qualitative and data mining techniques with hands on data sets will be covered. Groups will be required to prepare a mini research project using all the statistical applications covered in class.
Students who have been accepted into a Forensics program where this course is a part of the matrix may register without any further approvals. Students who are not currently accepted in a Forensics program or, if this course is NOT part of your program matrix, please contact the Program Assistants for departmental approval at BCIT_Forensics@bcit.ca. For information on Forensic programs and courses, please visit: https://www.bcit.ca/cas/forensics.
3 seats remaining as of Dec 10, 2019 10:51 am (PST). Availability may change at any time.
At the end of this course, the student will be able to:
Explain the strengths and limitations of applied investigative research and research methodologies
Examine the significance of conceptualization and measurement models and analysis
Identify the differences between qualitative and quantitative research, and assess the suitability of each type of research for different applications
Identify the methodological issues when using public safety data
Articulate research findings in the law enforcement context
Apply statistical crime research methods and advanced data analysis techniques using SPSS and predictive analytics
Identify a suitable research topic to be explored in the capstone research course work
Effective as of Fall 2012
FSCT 7910 is offered as a part of the following programs: