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Business Research Methods I Summary

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  • April 7, 2021
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Business Research Methods Quantitative
Lecture 1:

Business Research:
“A series of well-thought-out and carefully executed activities that enable the manager to
know how organizational problems can be solved, or at least considerably minimized” -
Sekaran & Bougie (2016, p. 2)

Hallmarks of scientific research




1. Purposiveness: Knowing “the why” of your research
2. Rigor: Ensuring a sound theoretical base and methodological design
3. Testability: Being able to test logically developed ideas based on data
4. Replicability: Finding the same results if the research is repeated in similar circumstances
5. Precision & Confidence: Drawing accurate conclusions with a high degree of confidence
6. Objectivity: Drawing conclusions based on facts (rather than on subjective ideas)
7. Generalizability: Being able to apply research findings in a wide variety of different
settings
8. Parsimony: Shaving away unnecessary details, explaining a lot with a little

Research process:

,Stage 1: Problem identification




Stage 2: Research approach development
A theoretical framework consists of:
 Description of all relevant variables and their definitions
o Motivate why these are important

 Hypotheses (i.e. expected relationships between variables)
o Based on existing theory, testable, and unambiguous

 Conceptual model (i.e. a graphical representation)


Theoretical framework summarized:
Conceptual model –graphical representation
 Covers all variables and relationships

Variable definitions
 Define all variables
 Motivate why these variables are important to include

Hypotheses –relationships between variables
 Provide a logical justification / backing
 Based on theory

Research design: “A framework or plan for conducting a [...] research project. It details the
procedures necessary for obtaining the information needed to structure or solve [...]
research problems. ” –Malhotra, Nunan& Birks (2017, p. 61)

,Research design classification:




Explanatory research:
 A flexible and evolving approach to understand phenomena that are inherently
difficult to measure
 Often required when prior theory is absent and an in-depth understanding is
required
 Aim is to develop new theory since phenomenon is new or previously uninvestigated
Result -> theory

Examples:




Conclusive research:
 Characterized by clearly defined phenomena that can be measured by means of
quantitative data
 Descriptive: testing the correlational relationship between two or more variables
(e.g. by means of a survey or archival data)
 Causal: testing the causal relationship between two or more variables by means of a
(laboratory of field) experiment

, Useful R-commands:




Lecture 2:
Total error: Variation between true mean value in the population of the variable of interest
and the observed value

Random sampling errors: Error because the selected sample is an imperfect representation
of the population of interest

Non-sampling errors: Error that can be attributed to sources other than sampling and that
can be random or non-random

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