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Complete summary for Business Research Methods 1 (quantitative) including calculations and examples

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Business Research Methods 1 Iris Lijkendijk




Lecture 1 - Introduction



Managerial decisions that are based on:

• The results of “good” research tend to be more effective

• Hunches, intuition and past experiences are more likely to be wrong



The managers are from Mars, researchers are from Venus myth:

• There is no need to study business research for a future manager

But, managers with knowledge about business research have an advantage over
managers who don’t



The most research is not read myth:

• Business research ends up in the bottom drawer

This happens often, however this is often due to the manager being intimidated by
the research, caused by a lack of understanding.



The big bucks myth:

• Business research is only for the wealthiest organisations

This is not true, one of the solutions being A/B-testing. The practice of giving a part
of the visitors of the website version A and the other part of visitors version B. After
a while, you will look at the difference in conversion rate and select the version
with the highest rate. So, business research is diverse: it can be cheap or expensive.



The big decision myth:

• Business research is only useful when you have a major decision to make.



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, For small decisions, it is often better for the manager to carry out their own
research. Creating strategies often does not take a long time but analysing which
strategy to use is very time consuming.



The universal truth myth:

• There is just one best way of researching a business problem.

There is no such thing as an absolute truth in business, nevertheless this does not
imply that any research is good.



Business research

“A series of well-thought-out and carefully executed activities that enable the
manager to know how organisational problems can be solved, or at least
considerably minimised” (Sekaran & Bougie, , p. )



A business researcher:

• Speci es the information necessary to address these issues

• Designs the method for collecting information

• Manages and implements the data collection process

• Analyses the results

• Communicates the ndings and their implications



Hallmarks of scienti c research
• Purposiveness • Precision and con dence

• Rigor • Objectivity

• Testability • Generalisability

• Replicability • Parsimony




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, . Purposiveness

• Does it lead to the goal that you had in mind?

• Knowing the why of the research



. Rigor

• Ensuring a sound theoretical base and methodological design




• Left: A theoretical base that explains job performance based on articles
including the important concepts.

• Right: sample of a population that resembles this population



. Testability

• Being able to test logically developed ideas based on data

• Narrow down different explanations



. Replicability

• Finding the same results if the research is repeated in similar circumstances

• Can you replicate your ndings?



. Precision and con dence

• Drawing accurate conclusions with a high degree of con dence

• Narrow con dence intervals re ect accurate estimates


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, . Objectivity

• Drawing conclusions based on facts (rather than subjective ideas)

• did you incorporate intuition or were you completely objective?



. Generalisability

• Being able to apply research ndings in a wide variety of different settings




. Parsimony

• Shaving away unnecessary details, explaining a lot with a little

• did you include the right amount of variables that were actually required or did
you include unnecessary variables



Research process



• Identify problem area and de ne problem statement



• Theoretical framework, hypothesis and model



• Determine nature of research, methods, sampling…



• Data collection



• Data preparation and data analysis



• Data interpretation

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