In this course, students will build the statistical skills needed to understand and interpret data used in health-related research, program evaluation, and policy decisions. Students will develop working knowledge of descriptive statistics, graphical data summary, sampling, correlation, group comparisons (t-tests and ANOVA), and measures of disease association (relative risk, odds ratio, attributable risk). Through critical reading of published integrative/complementary health research and hands-on data analysis in JASP (statistical software), the student will leave this course able to run and interpret the specific analysis for systematic reviews/meta-analyses, observational studies, and intervention trials.
Analyze the design, sampling approach, variable types, and potential sources of bias in published health and integrative health research to assess the appropriateness and limitations of statistical inferences.
Evaluate descriptive statistics, confidence intervals, graphical displays, and data-visualization choices for their accuracy, clarity, potential for bias, and suitability for communicating health-related findings to scholarly, clinical, and public audiences.
Analyze and interpret relationships and group differences in health datasets by conducting and evaluating correlation, independent-samples, and paired-samples t-tests, and one-way ANOVA in JASP, including assumption checks, confidence intervals, and effect-size estimates.
Evaluate statistical evidence from observational studies, intervention studies, and systematic reviews/meta-analyses by interpreting hypothesis-test results, statistical power, relative risk, odds ratios, attributable risk, heterogeneity, and the distinction between statistical significance and practical or clinical significance.
Critique causal and practice-related claims in integrative and public health research by appraising study design, confounding, sampling limitations, multiple-comparison risk, measurement quality, and the ethical reporting of null or uncertain findings.
Create and justify a statistically appropriate analysis plan for a proposed dissertation research question, selecting methods and JASP procedures suited to a systematic review/meta-analysis, observational/questionnaire-based study, or intervention design, and specifying appropriate interpretation and reporting strategies.
Required Course Pack:
Required Textbooks:
View the required textbooks for this class, including ISBN, edition, and retail price, by visiting our Required Textbooks page.
Total Course Price:
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