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Introduction to ANOVA Analysis and Line Graph Visualization

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University of Minnesota

Social Determinants of Health: Methodological Opportunities

University of Minnesota

Course 4 of 5 in the Social Determinants of Health: Data to Action Specialization

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This fourth of five courses examines the methodological approaches and research tools that inform our understanding of best practices in working with science teams, communities, and with data. The topics of this course include: 1. Community-Based Participatory Research 2. Team Science 3. Community-Level Data 4. Informatics and the Social Determinants of Health: Knowledge Management 5. Data Applications: ANOVA Analysis and Line Graph Visualization

Skills You'll Learn

Data Analysis, Health Equity, Health Informatics, Data Visualization, Methodology

From the lesson

Data Applications: ANOVA Analysis and Line Graph Visualization

This module will focus on analyzing, displaying and interpreting social determinants of health data, with a particular focus on comparing health outcomes by groups. Lesson one will provide an overview of ANOVA analysis and line graph visualization. In lesson two, we will learn how to conduct ANOVA analyses and create line graphs in R. Using the NHANES dataset, we will compare the mean Hgb a1c by education level. Using the Omaha System dataset, we will compare the mean change in status by number of problems. Finally, we will discuss how to interpret the results of our analysis as we visualize our findings using line graphs.

Introduction to ANOVA Analysis and Line Graph Visualization7:39

Taught By

Daniel J. Pesut, Ph.D., RN, FAAN
Professor
Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN
Professor

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