Course Description

Course Name

Quantitative Methods

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Design and analysis of psychological experiments.

In this course, students learn how to analyse research data using the general linear model. This model is the basis for most commonly used statistical techniques in psychological research, including analysis of variance (ANOVA), correlation and regression. Students will gain a conceptual understanding of what the model is, how it is used to analyse data and what it teaches us about how research studies should be designed in the first place.

Course Structure
-Analysis of experimental data: analysis of variance
-Describing experimental designs
-Analysis of between-subjects designs: one-way, two-way, three-way, etc
-Analysis of within-subjects designs (repeated-measures): one-way, two-way, three-way, etc
-Analysis of mixed designs

[In-class test]
-Regression
-Correlation and simple regression
-Scattergrams
-Fitting a predictive model
-Hypothesis testing
-Inferences about causality
-Regression toward the mean
-Multiple regression
-Fitting a multiple-regression model
-Testing the full model
-Testing individual terms in the model: the extra sum of squares principle
-Model selection procedures (all possible, forward, backward, stepwise)

-Dummy variable regression and analysis of covariance
-Effects coding
-Using dummy variables to perform ANOVA
-Relationship of dummy variable regression to ANOVA
-Dummy variable regression for ANOVA with unequal cell sizes
-The mechanics of ANCOVA
-ANCOVA for error reduction
-ANCOVA for statistical control

Required Calculator: Students require calculators for this paper. For the test and examination, students may use any calculator without communication capabilities.

Assessment:
Weekly homework exercises 20%
Computer competency exam 5%
Test 25%
Final examination 50%

Learning Outcomes
Demonstrate ability to understand, apply and interpret advanced statistical techniques used in scientific research in psychology

Textbooks
Required Reading: Miller, J., & Haden, P. (2013). Statistical analysis with the general linear model

*Course content subject to change