Design of experiments and analysing experimental data

Date:

22/06/2018

Organised by:

The Cathie Marsh Institute, University of Manchester

Presenter:

Marzena Nieroda

Level:

Entry (no or almost no prior knowledge)

Contact:

Anthony Bacon
0161 2751980
cmist-courses@manchester.ac.uk

Map:

View in Google Maps  (M13 9PL)

Venue:

The Cathie Marsh Institute
Humanities Bridgeford Street
Manchester

Description:

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.

Objectives

After attending the course you should be able to:

  • Understand the principles of experimental design
  • Understand different types of experimental design
  • Know how to design experiments that are likely to yield valid results
  • Understand the logic of hypothesis testing
  • Have a basic understanding of the most common techniques used to analyse experimental data
  • Be able to select an appropriate statistics to test the proposed hypothesis
  • Gain understanding of how experiments can be used in business settings and help to increase profits and build competitive advantage.

Cost:

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

Website and registration:

Region:

North West

Keywords:

Experimental Research , Experimental design, Frameworks for Research and Research Designs (other), Hypothesis testing research, Survey and Questionnaire Design, Questionnaire design, Design of experiments , experimental data , data analysis

Related publications and presentations:

Experimental Research
Experimental design
Frameworks for Research and Research Designs (other)
Hypothesis testing research
Survey and Questionnaire Design
Questionnaire design

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