Research Design and Quantitative Methods

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Spring 2018
Credits per quarter

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Taught by

environmental sociology, energy and climate change, social science research methods
Saul square
energy and environmental policy, political ecology, social impacts of energy choices
John Withey
ecology, conservation biology, wildlife biology

The third program in the core sequence explores quantitative methods for studying complex environmental phenomena. A primary focus is developing practical literacy in experimental design and data analysis. Students will learn statistical methods including graphical and tabular summaries, distributions, confidence intervals, t-tests, analysis of variance (ANOVA), Chi-square tests, linear regression, multivariate statistics, and both non-parametric and resampling approaches to these statistical methods. The program also introduces software for data management and statistical analyses. Computer lab exercises and collaborative group research projects help students develop proficiency in experimental design and statistical programs.



Online learning:
  • Hybrid Online Learning - This offering delivers < 25% of its instruction online, rather than via face-to-face contact between you and your instructors.

Scheduled for: Evening

Located in: Olympia

Final schedule and room assignment:


Advertised schedule:

6-10p, Tue/Thu