ACC 210 Methods & Statistics II

Content

This course consists of two parts. In the first part the most commonly used statistical models are introduced: multivariate regression, factor analysis, (multivariate) analysis of (co)variance, discriminant analysis, logistic regression, and log linear models. Furthermore, attention is paid to non-parametric tests. Students learn to apply these models to data using SPSS12. In the second part of the course students learn to deal with problems that may occur whenever statistical models are used. The following topics are discussed: model assumptions, multiple hypotheses and power, cross-validation, causality and missing data. The topics of the second part are discussed in the context of the statistical models introduced in the first part of the course.

Instructor

Dr. Pieternel Verhoeven

Period

Fall / 2011

Evaluation/Assessment

Grading element

• 25% for each double assignment 2x: assignments 1 & 2, 3 & 4 (50%)
• 20% for single assignment 1x: assignment 5 (20%)
• 5% for each poster: 2x (10%)
• 10% for the presentation: 1x (10%)
• 10% for (active) participation: 1x (10%)

Total: 100%

Course Material

• Reader

• Field, A. (2005). Discovering statistics using spss for windows. Advanced techniques for the beginner. (second ed.). London, Thousand Oaks, New Delhi: SAGE Publications

Prerequisites

The following course is required in order to take this course:

• ACC 110 Methods & Statistics I

Additional Prerequisites

• Mandatory for all Social Science majors.

Required for

This course is required in order to take the following course:

• ACC 310 Methods & Statistics III