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POL / SOC 360-01
Spring 2015
 How researcher will study empirical question
 Must answer several questions:
 What theory or propositions will be tested?
 What are the appropriate units of analysis?
▪ Units of Analysis vs. Units of Observation
 What measurements are needed?
 Nominal, Dichotomous, etc.
 Ecological Fallacy and Reductionalist Fallacy
 How will this information be collected?
 What statistical procedures will be used to
analyze the data?
 Qualitative, Quantitative, Mixed Methods
 Purpose of Investigation
 Feasibility and Practicality
 Research Objectives:
 #1: Establish relationship between DV and IV
 #2: Demonstrate results in real life (external validity)
 #3: Does one phenomenon precedes another?
 #4: Eliminate alternative explanations
 “Correlation Does Not Equal Causation”
 Correlation
 Variable associated with one another
 Positive and Negative Relationships
 Causation
 One variable directly causes or explains the other
 How do we establish causality in research design?
 Association / Covariation
 Randomization
 Statistical Control
 Time Order
 Context
 Nonspuriousness
 Observed relationship between X andY is
spurious (or partly spurious) if there exists a third
variable “Z” which is:
 A cause ofY
 Correlated with X
Number of
Firefighters
(X)
Amount of Fire
Damage
(Y)
??????
(Z)
Number of
Firefighters
(X)
Amount of Fire
Damage
(Y)
Size of Fire
(Z)

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Pol soc 360_01_research_design

  • 1. POL / SOC 360-01 Spring 2015
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  • 4.  How researcher will study empirical question  Must answer several questions:  What theory or propositions will be tested?  What are the appropriate units of analysis? ▪ Units of Analysis vs. Units of Observation
  • 5.  What measurements are needed?  Nominal, Dichotomous, etc.  Ecological Fallacy and Reductionalist Fallacy  How will this information be collected?  What statistical procedures will be used to analyze the data?  Qualitative, Quantitative, Mixed Methods
  • 6.  Purpose of Investigation  Feasibility and Practicality  Research Objectives:  #1: Establish relationship between DV and IV  #2: Demonstrate results in real life (external validity)  #3: Does one phenomenon precedes another?  #4: Eliminate alternative explanations
  • 7.
  • 8.  “Correlation Does Not Equal Causation”  Correlation  Variable associated with one another  Positive and Negative Relationships  Causation  One variable directly causes or explains the other  How do we establish causality in research design?
  • 9.  Association / Covariation  Randomization  Statistical Control  Time Order  Context  Nonspuriousness
  • 10.
  • 11.  Observed relationship between X andY is spurious (or partly spurious) if there exists a third variable “Z” which is:  A cause ofY  Correlated with X
  • 12. Number of Firefighters (X) Amount of Fire Damage (Y) ?????? (Z)
  • 13. Number of Firefighters (X) Amount of Fire Damage (Y) Size of Fire (Z)