Social Science
Degrees and Certificates
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Applied Data Analysis, Concentration
Courses
SOSS 200: Introduction Research Methods
Students will be introduced to the basics of social scientific research methods. Topics include exploratory research, hypothesis testing, community based research, program assessment, and quantitative and qualitative methods of gathering and analyzing data.
SOSS 301: Qualitative Research Methods
This course will address the social scientific research process including an examination of research ethics, theory, and research design methods addressed in a qualitative course that includes but is not limited to field methods (e.g. ethnography and participant observation), intensive interviewing, focus groups, and unobtrusive research methods. Three lecture hours and one laboratory hour.
Prerequisites
SOSS 302: Quantitative Research Methods
Topics in quantitative methods that may include but are not limited to data management, multiple regression, generalized linear models (ex. logistic regression), survey research (including design, implementation, and analysis), principal component analysis, and experimental designs. Three lecture hours and one laboratory hour.
Prerequisites
And STAT 161, 162, or 163.
SOSS 450: Advanced Project I
Collaborative seminar for students working on senior projects or honors theses. Capstone course for applied data analysis certificate. One to three credit hours.
Prerequisites
SOSS 200, SOSS 301 or 302 and STAT 161, 162, or 163 or instructor permission.
SOSS 451: Advanced Projects II
Collaborative seminar for students working on senior projects or honors theses. Capstone course for applied data analysis certificate. One to three credit hours.
Prerequisites
STAT 161, 162, or 163; SOSS 200; SOSS 301 or 302.