Statistical Methods in Psychology (201-0-20)
Instructors
Benjamin J Gorvine
847/467-1839
Swift 306
Meeting Info
Swift Hall 107: Mon, Wed 2:00PM - 3:20PM
Overview of class
Major forms of psychopathology present during childhood, including disorders exclusive to childhood and those that may appear during any developmental period. Developmental models of the etiology and course of major psychopathologies.
Registration Requirements
High school algebra and PSYCH 110 or equivalent. This course counts toward the Weinberg College formal studies distribution requirement.
Learning Objectives
By the end of the course, you will:
• Develop an understanding of basic statistical concepts, particularly descriptive statistics (measures of central tendency and variability), and inferential statistics (Z-tests, t-tests, correlation, ANOVA, chi-square).
• Understand how statistical methods allow us to make inferences about populations based upon samples.
• Learn how to conduct and apply statistical tests for the purpose of answering typical research questions in the context of psychology/social science.
• Understand the strengths and limitations of the null hypothesis significance testing (NHST) approach as a way of answering psychological research questions.
• Understand how statistical significance, power, and effect size shape the use and interpretation of findings based on statistical methods.
• Be able to identify which statistical test to utilize to answer specific types of research questions (such as questions of group differences and association between variables).
• Understand the role of statistics in public and popular media discourse.
Class Materials (Required)
Glenberg, A. & Andrzejewski, M. (2008). Learning from Data: An Introduction to Statistical Reasoning (3rd Edition) Mahwah, NJ: Lawrence Erlbaum. ISBN: 9780805849219
Class Materials (Suggested)
The use of a scientific calculator is strongly encouraged.
Class Attributes
Empirical and Deductive Reasoning Foundational Dis
Formal Studies Distro Area
Attendance at 1st class mandatory
Prerequisites apply, see description