Lecture IV: Data Collection

Quantitative Market Research

  • Received responses can be analysed to make well-thought decisions for improving products & services

  • The age of information has transformation both selling as well as purchasing habits & norms

  • Companies rise and fall on the basis of how well they are able to collect & analyse data, and make informed decisions based on the gathered insights

  • Denote the relationship is directly or inversely proportional (demand qu’elle clarafie le difference avec positif et negatif.?)

  • When data is continuous, it is okay to have decimals

Procedure of Quantitative Design

Observation: Make an observation of something that is unknown to you

Investigative Theory: Investigative the theory that is related to your issue or the field that requires validation

Hypothesise: Create an in-depth hypothesis to validate your research & findings & end objective

Plan: Plan for how to prove or disprove this hypothesis and create a structure to achieve this objective

Collect & Analyse: Collect & analyse your data. If your data validates your hypothesis, prepare for final validation & present findings. If the data disproves your hypothesis, you can either start afresh with a new hypothesis or drop your current research

5 Steps for Creating a Successful Quantitative Market Research Survey

  1. Specify the goal

  2. Hae a plan sketched out

  3. Collect data

  4. Analysis of collected data

  5. Compile reports

Intro to Data Collection

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Data Collection Sampling

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Probability Sampling

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Non-Probability Sampling