Conditions for Establishing Cause
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Transcript Conditions for Establishing Cause
Quantitative Research
Designs
V. Darleen Opfer
Conditions for Establishing CauseEffect Relationships:
Covariation
Temporal Precedence
No Plausible Alternative Explanations
Types of Alternative Explanations
History
Testing
Instrumentation
Regression
Mortality
Maturation
Selection
Selection by
maturation interaction
Ambiguity about
causal direction
Diffusion of
treatments
Compensatory
equalization of
treatments
Compensatory rivalry
Ways to Minimize Threats to
Validity:
By
By
By
By
By
argument
measurement or observation
analysis
preventive action
design
Individual/Agential
Variables
Values
Psychological
Mechanisms
Political
Interest
Personal
Knowledge/
Experience
Newspaper
Coverage
Newspaper
Impacts
Norms of
Journalists
Structural/ Social
Variables
Newspaper
“Market Forces”
Class, education,
gender, ethnicity,
age, etc..
Causal relations
Intervening variables
Social
Networks
Trust in Media
& Government
(i.e., Public
Schools)
Basic Design Elements
Time
Program(s) or Treatment (s) = X
Observation(s) or Measure(s) = O
Groups or Individuals =
R = Randomly assigned groups
An Example:
R
O
R
O
X
O
O
Expanding a Design:
X
O
Expanding across time
Expanding across programs
O O X O
O X O O X O
O X1 O
O X2 O
Expanding across observations
O1O2 X O1O2
Expanding across groups
R O X O
R O
O
N O
O
______________________________
R O X O
R O
O
N O
O
A Strategy for Design Construction
Depict the hypothesized causal relationship
Identify the possible alternative explanation
threats
Over-expand the basic design by expanding
across time, program observations, and groups
accounting for as many alternative explanations
as possible
Scale back the design to a manageable plan by
considering the effect of eliminating each design
component
The Nature of Good Design
Theory-Grounded
Situational
Feasible
Redundant
Efficient
Design Task
A principal/head teacher wants to know whether the provision
of professional development will improve the instructional
practices of teachers.
Design a study for answering her question.
Address the following questions:
What are your variables? (What are will you be measuring?)
What are potential validity/alternative explanation issues with
this study?
What are the validity issues accounted for in your approach?
And how would you minimize those not accounted for in the
design?