Lecture 5: Introduction to Quantitative Methods Flashcards
What are the Characteristics of quantitative research
- It is objective.
- It has clearly defined questions
- It has structured research instruments.
- It is used to gather data. - It has numerical data.
- It has large samples.
- It can be replicated.
- It predicts future outcomes
What are the Strengths of Quantitative Research?
- It is objective.
- It facilitates sophisticated analyses and allows comprehension of huge amount of vital characteristics of data
- It allows analysis of data in a quick and easy way and generalisation of findings to the population.
- It can be replicated.
Weaknesses of Quantitative Research
- It requires a large number of respondents.
- It is costly.
- It usually ignores the context of information.
- It is difficult to gather information on sensitive issues using structured research instruments.
- Data gathered may be incomplete and inaccurate.
What are problems/ questions a marketing manager could address with the use of quantitative research
- What is the most common household income of our target market? Could do this by sending out a survey.
- What is the age demographic of our target market (Survey)
- What is the geographical area of our target market? (Survey)
- Do people believe our product is good value for money (yes or no question)
- How often do you go to the supermarket?
Some problems/ questions I think would be better suited to qualitative research would be.
- What is your initial perception of the way our product looks, why do you feel that way?
- What is the perception you have of our brand, why do you have that perception?
- Why do you choose our product over our competitors, or vice-versa?
What are the three approaches to Quantitative research
- Experiments: Explore the conditions under which a phenomenon occurs
- Modelling: Understand the nature of the relationship between two or more constructs (variables)
- Time Series: Study the change of a phenomenon over time.
Examples of a construct (variable)
Salary, Savings, Satisfaction, Loyalty, Authenticity, Brand identification.
What is measurement/measure?
- An empirically observed/quantified manifestation
What are the different types of measure?
Ratio
Nominal (or categorical)
* Interval Variables
* Ordinal Variables
What are Experiments and Explorative Designs?
✓ A research method where we manipulate something (variable) and check if there is a change in something else (another variable)
✓ Experiments allow the researcher to explore the different conditions associated with certain consumer behaviours.
✓ In designing an experiment, the main GOAL is twofold:
Characteristics of Time series Analysis
- Time is often a crucial factor in understanding a phenomenon.
- This is because “time” is an important variable in the fields of Economics and Business; things happen “over time”.
- Especially when it comes to the understanding of the Macro- and Micro- environments.
Examples of Time series Analysis
- How has the households’ average income changed since 2000?
- How is the retail price index changing over time?
- How is customer satisfaction from air carriers changing over time?
- How is customer loyalty for M&S changing over time?
Purpose of trend analysis?
- Seeks to eliminate the ”noise” from a time series that various events may cause.
Use of Time Series analysis
- Forecasting. Use the knowledge of the past to predict the future.
- History repeats itself; Right?
- Retail sales peak every Christmas.
- IF I know sales for Xmas in 2022, 2021, 2020, 2019, … Then I can use this knowledge to predict (±) sales for Xmas 2023!
Two associations under Modelling are?
- Correlation
- Causation