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Advanced Research Methods

Spring 2020
Graduate Only
Class Size: 15
4 Credits per quarter
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Advanced research methods examines statistical approaches from a practical viewpoint using R, a powerful tool for statistical modeling. The course aim is to introduce students to a variety of statistical research techniques as well as enhance their ability to generate, read, and interpret research findings. Ultimately the goal is for students to become better users and readers of research and workplace data. Our task is to learn how to analyze data sensibly and in context in order to enhance decision-making and organizational performance. Using R we will be able to fit statistical models to data, assess the goodness of fit, display estimates, standard errors, and predicted values derived from models. The software also provides us with the means to define, manipulate, explore, tabulate, and sort data. The assigned textbooks provide programming scripts and data sets for practice and homework assignments


Spring 2020 Registration

Course Reference Numbers

GR (4): 30264

Academic details

Maximum Enrollment
Online Learning
Complete Online Learning - This offering delivers all of its instruction online.
Class Standing


Time Offered
Advertised Schedule

Mar. 30-June 1 Mon 6-10p

Schedule Evergreen link
see Schedule Evergreen for detailed schedule

First Meeting

Purce Hall 7 - Classroom