Pennsylvania State University 3 credits RSOC
This graduate level course focuses on developing, interpreting, and presenting the results from theoretically-informed multivariate regression analyses. The course begins by reviewing basic statistical concepts, descriptive and inferential statistics, ways to handle missing data, bivariate ordinary least squares (OLS) regression, and basic features of statistical software programs. The course proceeds with concepts of multivariate regression, and covers issues such as nonlinearity, outliers, and interaction terms. The final section covers methods for handling complex survey data and estimation techniques for binary, nominal, ordinal, and count outcomes. Students will learn how to choose the best method for the research question; where to locate and how to extract secondary survey data; and how to accurately, clearly, and succinctly describe analytic methods, interpret results, and report findings.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.