Applied Statistics in the Social Sciences
This course applies statistical principles to social science problems by utilizing the basics of statistical software in developing and testing research questions as well as conducting univariate and multivariate statistics such as t-tests, ANOVAs, and regression models.
MFHD
513
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesSFL 290
 RecommendedUpper-division SFL course.
 TaughtFall
Course Outcomes: 


Theory and Research

Under the direction of a mentoring professor, students will critically examine, investigate, and integrate the literture for a topic of interest in marriage, family, and human development.

Learning Data Management

Students will learn the basics of entering, cleaning, and manipulating data in SPSS.

Learning Sampling

Students will learn the importance of adequate sampling methods in social science research as well as the common forms of bias that such sampling can create.

Learning Measurement Design

Students will learn the basics of item/scale creation as well as how social scientists create measurement and operationalize constructs.

Learning Applied Statistics

Students will learn how to run, interpret, and write about a variety of basic applied statistical techniques including t-tests, ANOVAs, regression, factor analysis, and cluster analysis.

Learning to Write-up Research

Students will learn how to write research results in APA formatting.

Learning the Reserach Process

Students will continue to develop their understanding of the research process and will understand how scholars go from a research question to a completed and published research article.