Description

Introduction to the analysis of data from experimental and correlational research in psychology. Emphasizes the applications and logical nature of statistical reasoning.

In this course, you will:

💡 Describe research methods commonly used in behavioral sciences.

💡 Be able to calculate and interpret descriptive and inferential statistics.

💡 Explain the logic behind hypothesis testing and identify the appropriate statistical test for various research designs.

💡 Know how to write and communicate about psychological research and be able to use APA style and formatting.

Course text:

You should have a SPSS textbook to help you. Here is what I recommend, but there are acceptable alternatives:

Mayers, A. (2013). Introduction to Statistics and SPSS in Psychology. Pearson.

OR Howitt, D., & Cramer, D. (2020). Understanding Statistics in Psychology with SPSS (8th ed.). Pearson.

Course Assignments:

Research Proposal - 10%

Quizzes - 15%

Individual Research Paper - 25%

Exams - 50%

Schedule:

Topics that we will cover:

1. Intro to Quant Designs

2. Types of Data

3. Measures of Central Tendency & Frequencies

4. Significance, Effect Size, & Power

5. Hypothesis Testing

6. t Tests

7. Ethics

8. Report Writing

9. Correlations

10. ANOVAs

11. The Chi-Square Statistic

12. Non-Experimental Designs

13. Regression

14.  Intro to Advanced Statistics

15. Factor Analysis & Reliability Analysis