Summary: Business Research Methods 4Rd Edition
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2 The research process and proposal
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2.3 Research process
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Decisions for the research design, for instance:
Laboratory or field research?
Interviews or surveys or observations?
Participants and sampling technique?
Data collection conditions and allocation?
What are relevant variables (what to measure)? -
3 Literature review
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We now know what literature is, but what is a literature review?
A literature review provides the reader with an overview of the current state of art regarding a problem and the research theme
A good review provides the reader with insight into the existing knowledge and what is not yet known -
Searching information (literature) using academic databases, for instance:
ABI/INFORM, ECONLIT, EBSCO, PSYCHLIT, SOCIOFILE, PSYCARTICLES, GOOGLE SCHOLAR)
Working/discussion papers databases
Publishers’ databases -
How can you determine which literature is relevant?
Read the title
Read the abstract
Check keywords
Scan the manuscript (empirical part)
Read the beginning of the discussion section
Check reference list (can lead to a new reference) -
5 Quantitative and qualitative research
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What is the role of passengers in the development of a train delay?
- Research design: cross‐sectional survey with fixed questions and answers
- Sample: all passengers at Eindhoven Station on four Fridays in December, 2018
- Statistical analysis: hierarchical regression analysis
- Research design: cross‐sectional survey with fixed questions and answers
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Descriptors of research designs:
• the purpose of the study
o descriptive study
o casual study
o predictive study
• degree of research question crystallization
o exploratory study
o formal study
• method of data collection
o monitoring
o interrogation/communication study
o archival study
• researcher control of variables
o experimental design
o ex-post facto design
• the time dimension
o cross-sectional study
o longitudinal studies
§ panel
§ cohort
• the research environment
o field conditions
o laboratory conditions
o simulations -
5.4 Field and Quasi-experiments
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Proxies for a real experiment
Field experiments are conducted in a natural setting
Participants usually do not know that they are studied
If a researcher cannot meet the requirements of a true experiment: s/he can conduct quasi‐experiments
For example: no randomization possible, no real control group -
6 Sampling strategies
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6.4 What makes a good sample?
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Representativeness depends on two aspects:
1. Accuracy: unbiased sample; no systematic variance due to (un)known influences that cause the scores
2. Precision: no random fluctuations (i.e., no sampling error); calculated by the standard error of estimate (i.e., the smaller this value, the greater the precision) -
6.5 Sample size
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Principles that influence sample size:
Population size
Degree of variance in the population
Degree of reliability
The desired precision of the estimate
Interest in subgroups -
7 Survey research
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7.3 Survey method choice
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The choice for a certain survey method is largely dependent on the following factors:
Costs of the research
Topic of the research
Accessibility and spread of the population
Response time
Anonymity or confidentiality
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