Department of Applied Statistics and Research Methods
Chair: Trent Lalonde, Ph.D.
Location: McKee 520
Telephone: 970.351.2807
Faculty: Susan R. Hutchinson, Ph.D.; Maria K. E. Lahman, Ph.D.; Trent L. Lalonde, Ph.D.; Randy Larkins, PhD.; William Merchant, Ph.D.; Jay R. Schaffer, Ph.D.; Khalil Shafie, Ph.D.; Chia-Lin Tsai, PhD.; Han Yu, Ph.D.
This program provides students with a broad understanding of appropriate applications of statistical and research methodology and with experience in using computers effectively for statistical analysis.
The master’s and doctoral programs in Applied Statistics and Research Methods are designed to prepare graduates in statistics and education who make important contributions to educational practice. Through the programs, great emphasis is placed on how research design and statistics can be applied to educational issues and problems. Service courses are offered by the school in support of other university programs at the graduate level.
Admission : Applications must be complete and on file in the ASRM office by March 1 for Fall admission and by October 1 for Spring admission.
Applied Statistics and Research Methods M.S.
Students planning on concentrating on applied statistics need a working knowledge of calculus and linear algebra. Students must also provide a written statement regarding the relationship of the Master’s program to the student’s professional goals.
Completion of this degree will enable the graduate to seek employment in a career field requiring the application of statistical or research methodology, for example: data analysis or experimental design; to teach in a community or junior college; to work as an evaluation/assessment specialist in a public school setting; or to enter a Ph.D. program in statistics, educational research, or a related area.
For degree and program requirements, see:
Applied Statistics and Research Methods M.S.
Applied Statistics and Research Methods Ph.D.
The student must provide the ASRM program coordinator with a written statement regarding the relationship of the doctoral program to the student’s professional goals. It is expected that the student possesses the knowledge, skills and competencies equivalent to those of a graduate from our M.S. degree program. Should it be necessary, a student may use elective credits to make up deficiencies.
This program prepares students to teach courses at the university level in applied statistics and research methodology, to provide leadership in the conduct of research studies, and to serve as consultants in research methodology and data analysis in education, industry, or government.
For degree and program requirements, see:
Applied Statistics and Research Methods Ph.D.
Applied Statistics and Research Methods Doctoral Minor