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Statistical Methods in Psychology (201-0-20)


John Michael Bailey

Meeting Info

Swift Hall 107: Mon, Wed 3:30PM - 4:50PM

Overview of class

This course focuses on the analysis of data, using computer software. The approach is conceptual-I want you to understand not memorize. Important concepts include samples versus populations, normal curves and the central limit theorem, sampling distributions, standard errors, hypothesis testing, correlation and regression, t-tests, analysis of variance (ANOVA), and the chi-squared test. We will also discuss the replication crisis and how common statistical practices have contributed. Finally, we will learn how to employ statistical procedures that will advance science.

Registration Requirements

Psychology 110 or permission of the instructor.

Teaching Method

There are online learning modules that students are expected to read, instead of a textbook. I will lecture in the classroom. I will also provide recordings of past online lectures. Learning is also enhanced by weekly homework and weekly group assignments

Evaluation Method

Grades will be based on weekly homework and group exercises (60%) and two exams (20% each

Class Materials (Required)

There is no required textbook.

Required Statistical Software: JMP. Northwestern has a site license for this software, and so it is free to students and can be downloaded here:

Class Materials (Suggested)

Optional TEXTBOOK: Warne, R. T. (2018). Statistics for the Social Sciences: A General Linear Model Approach. Cambridge University Press. (ISBN: 978-1-107-57697-1)

Class Attributes

Formal Studies Distro Area