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Causal Research

Published on Oct 31, 2016

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PRESENTATION OUTLINE

Causal Research

By: Wendell Pitts, Makayla Henry, Trenesia Goolsby, Christaja Hubbard, Jeyla Mack
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What is Causal Research?

  • Marketing research that focuses on cause and effect and test “what if?” theories.
  • Causal research is sometimes referred to as conclusive research.
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Why do marketers use causal research?

  • Marketers use causal research to show that independent variable causes or affects the value of other dependent variables.
  • Marketers use causal research when they are extremely familiar with the research matter and have specific hypotheses they want to test.
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Why use causal research ?

  • Understanding which variables are the cause and which are the effect.
  • For example, lets say a city council wanted to reduce car accidents on their streets.
  • Causal research can test this theory of cause and effect.(Cause: packaging redesign) (Effect: Sales increase)
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Advantages

  • Causal studies may play an instrumental role in terms of identifying reasons behind a wide range of processes, as well as, assessing the impacts of changes on existing norms, processes etc.
  • Causal studies usually offer the advantages of replication if necessity arises

disADVANTAGES

  • It can be difficult to reach appropriate conclusions on the basis of causal research findings due to the impact of a wide range of factors and variables in social environment.
  • It certain cases, while correlation between two variables can be effectively established; identifying which variable is a cause and which one is the impact can be a difficult task to accomplish.

Importants

  • Causal research is typically completed by conducting experiments or simulations.(imitations or enactments)
  • It’s important for marketers to be patient about conducting causal research and to wait until they’ve laid the foundation of exploratory and descriptive research before they undertake it.
  • Key: Test Marketing
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Examples of Causal Research:

  • Test marketing a new product to gather data about its sales potential
  • Allowing customers to shop in a simulated store and recording their actions.
  • Conducting a clinical trial for a new medication.