Universidade Nova de Lisboa

Universidade Nova de Lisboa

NOVA Information Management School

Experimental Design

Code

200163

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Diego Costa Pinto

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

  • This methodological course aims to provide students how to design, conduct, and analyze experiments in any field of knowledge.
  • This course also gives the students the opportunity to develop and conduct their own experimental studies.  

Prerequisites

There are no enrolment requirements.

Subject matter

  • Introduction: Experiments and behavioral research
  • Theoretical Assumptions of Experimental Design (validity, causality)
  • How to develop a contribution and hypotheses using Experimental Design
  • Randomization and Design of Experiments (between and within subjects)
  • Types of Studies: Field, Laboratory, and Survey settings
  • Power and Sample Size
  • Measuring, Priming, and Manipulating Variables
  • Manipulation Checks, control variables, covariates, and confounds
  • Internal and External Validity
  • Developing an Experimental Plan
  • Working with Series of Experiments
  • Types of Analysis: Main Effects and Interaction Effects
  • Contrasts and Multiple Comparisons
  • Advanced Experimental Design: Moderation and Mediation
  • Writing and publishing an experimental paper

Bibliography

  • Campbell, D.T. (2002) Experimental and Quasi-Experimental Designs for Generalized Causal Influence, Boston: Houghton Mifflin Company.
  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.

* A list of papers will be handed by the professor in the first class as the complementary readings.

Teaching method

This curricular unit is based on theoretical and applied classes (development of studies, application of techniques, and discussion of results). This is a hands-on course in which the students will participate in different experimental studies and will develop their own experiments (final project in group).

Evaluation method

1st call

  • Projects (50%)
  • Final Exam (50%)

2nd call

  • Projects (20%)
  • Final Exam (80%)

Courses