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Business Research for Decision MakingSixth Edition
by
Duane Davis
Chapter 6
Fundamentals of Research Design
PowerPoint Slides for the Instructor’s Resource Manual for
Research Design
Is the structure of the research project to solve a particular problem?
Its purpose is to guide researchers in answering problems.
Is a series of tradeoffs and compromises.
Potential Sources of Error in the Design Process: 1. Planning – faulty designs 2. Collection – actual collection of data 3. Analytical – the way the data is analyzed 4. Reporting- errors in interpretation
MaxiMinCon Principle
• Researchers are guided by the MaxiMinCon Principle
Maximize systematic variance Minimize error variance Control extraneous variance
Design is the researcher’s attempt at variance control.
MaxiMinCon Principle, continued
• Four Primary Means to Control Variance 1. Build the variable into the study 2. Exclude the variable from the study 3. Statistically control the variable(s) through covariance
analysis 4. Randomization
Potential Sources of Error in the Research Design Process
Table 6.1
Managerial Strategies for Dealing with Error
• Planning Error - well thought out proposals that are specific in design aspects– evaluated impartially
• Collection Error – careful execution of planned design – periodic managerial evaluations
• Analytical Error – justification of analytical methods – outside evaluation
• Reporting Error – unbiased and knowledgeable reviewers – commonplace in rigorous research environments
Schematic Diagrams Illustrating Moderation & Intervening Variables
Figure 6.1
Source: Adapted from Uma Sekaran, Research Methods for Managers (New York: Wiley, 1984), pp. 50–58.
Internal Validity
Are the results of the study true?Is what has taken place due to the variables the researcher claims to be
operating or could something else have taken place?
Internal Validity• History: events outside the study affect the
results. E.g. high unemployment• Maturation: changes in respondents over time• Testing: halo effect, Hawthorne effect – are the
respondents tipped about what your are studying?
• Instrumentation: changes in the instrument over time.
• Selection: differences among groups; respondents vs. non-respondents
• Mortality: people drop out of a study over time
External Validity
What is causality and proof?
Can anything be proven?
Causality
• Theory – a reason why one variable should cause an effect in another
• Correlation• Time order: cause MUST proceed effect• Rule out other explanations for the effect
or spurious variables
Comparison of the Major Types of Research Designs
Table 6.2
©2005 by DuxburyA division of Thomson Learning
Sources of Invalidity for Basic Research Designs*Table 6.3
Source: Donald T. Campbell and Julian C. Stanley: Experimental and Quasi-Experimental Designs for Research, copyright © 1963, Houghton Mifflin Company, used by permission.
R - Randomly A - Assign to conditions of I - Independent variable, then observe on D - Dependent variable, forE- ExperimentalR - Research
major research methods tend to
have strengths, as well as
weaknesses.
Ability to Infer Causality
(INTERNAL VALIDITY)
Low High
Ability to Represent Real-life Situations(EXTERNAL VALIDITY)
Low EXPERIMENTS
High SURVEYS
This would be the ideal – strong in both areas
Managerial Concerns
• No single correct design• Design to answer the research
problem• All research design represents a
compromise• A design is not a framework to be
followed blindly
Key Managerial Questions Pertaining to Research Design