Introduction to Experimental Design

Description:

Outline

This course is designed for those interested in the design, conduct, and analysis of experiments in the social sciences. The course will examine how to design experiments, carry them out, and analyse the experimental data. Positioned in the context of online market research, the course will also cover the use of experiments in market research.

We will discuss various designs and their respective differences, advantages, and disadvantages. In particular, basic and factorial designs are discussed in greater detail. Basic experiments involve a manipulation of one independent variable. Factorial designs involve a manipulation of two or more independent variables (factors). In factorial designs it is of particular interest to understand how combination (interaction) of the two (or more) factors affects the outcome. Differences between within (paired) and between-groups experiments are explained.

The course includes a review of statistics background that is needed for conducting and analysing experiments. We will start with hypothesis testing and discuss most commonly used techniques for analysing experimental data: t-test, Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA). SPSS software will be used to analyse the data. 

Cost:

£195 (£140 for those from educational, government and charitable institutions).

Website and registration:

http://www.cmist.manchester.ac.uk/study/short/introductory/intro-to-experimental-design/

Region:

North West

Keywords:

Qualitative Data Handling and Data Analysis, Experiments , A/B testing , experimental designs , t-test, Analysis of Variance , Analysis of Covariance , experimental validity

Related publications and presentations:

Qualitative Data Handling and Data Analysis

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