2. Purpose
Attempts to determine cause for
Existing conditions
Preexisting differences in groups
Alleged cause and effect have already occurred
Orientations
Retrospective (basic): starts with an effect and seeks
possible causes
Prospective (variation): starts with a cause and
investigates its effects on some variable
3. Features
The independent variable (IV) is not
manipulated; it has already occurred
Independent variables sometimes
called “attribute variables”
Less costly and time-consuming to
conduct
Establishing cause-effect relationships
is more difficult than in experiments
4. Procedures
Identify an existing condition /event
(e.g., differences in socialization among
1st grade students)
Look “backwards” to see what may
have caused this difference /condition
to occur
(i.e., some attended preschool, some
did not)
Rule out other causal factors
5.
6. Sometimes confused with
correlational research:
Both lack manipulation of variables
Both require caution in interpreting
results
Both can support subsequent
experimental research
7. Causal comparative vs.
Correlational research
Causal comparative
Attempts to identify
cause-effect
relationships
At least one
independent variable
Two or more groups
Involves a comparison
Correlational
No attempt to
understand cause and
effect
Two or more variables
Only one group
8. Sometimes confused with
experimental research:
Both try to establish cause-effect
relationships
Both can test hypotheses concerning the
relationship between an independent (X)
and a dependent variable (Y)
Both involve group comparisons
9. Comparison to experiments
Causal comparative
Individuals already in
groups before study
begins
Independent variable
has already occurred
Independent variable
is not manipulated
Cannot be
Should not be
Could be, but is not
Experiment
Individuals
randomly assigned
to groups (e.g.,
treatment or
control)
Independent
variable
manipulated by
the researcher
10. Examples of non-manipulated
independent variables
Age
Sex
Ethnicity
“Learning style”
Socioeconomic status (SES)
Parent educational level
Family environment
Type of school attended
11. Design of causal-comparative
research
Select 2 groups that differ on some IV
One group possesses a characteristic that the
other does not
Each group possesses the characteristic, but in
differing amounts
Randomly sample Ss from each group
Collect info on Ss to determine equality of
the groups
Compare groups on the DV
12. Difficulty in interpreting
findings
Establishing cause and effect requires
caution!
Alternative explanations:
Different causal variable
Order of causation
Reverse causality
Order of occurrence
13. Evidence necessary to
demonstrate that X causes Y:
Establish statistical relationship
between X and Y (i.e., correlational
research);
determine that X precedes Y in time
(collect data over time, i.e.,
longitudinal research);
demonstrate that other, unknown
factors did not determine the
dependent variable (i.e.,
experimental research).
14. Becker & Gersten (1982): “Effects of
Project Follow-Through…”
Quasi-experimental study
Ex post facto study
Problem: Are the two groups in
this study comparable to one
another?
15. In order to make sure that the two groups are
comparable, and to ensure that the only post-test
differences between the groups are due to the
independent variable (the Follow-Through
intervention), data were obtained on students’:
family income
gender
language spoken in home
mother’s education
ethnicity
number of siblings.
16. Research Design
FOLLOW-THROUGH
Year 1 (1975) Gr 5
Site 1
Site 2
Site 3
Site 4
Site 5
Year 2 (1976) Gr 6
Site 1
Site 2
Site 3
Site 4
Site 5
NO FOLLOW-THROUGH
Year 1 (1975) Gr 5
Site 1
Site 2
Site 3
Site 4
Site 5
Year 2 (1976) Gr 6
Site 1
Site 2
Site 3
Site 4
Site 5
17. Dependent variables
Wide-Range Achievement Test (WRAT)
reading
mathematics
Metropolitan Achievement Test (MAT)
reading
mathematics
18. RESULTS
A total of 180 comparisons of FT to
No-FT students. Of these, only 56
(31%) favored FT students!
Largest differences between FT and
No-FT students were in basic skills
areas.
FT students’ achievement declined
by grades 5 and 6 (2-3 years after
end of FT).
19. Critique of this research
What are the strengths of the study?
Groups are comparable to one another.
Contrasted statistical with practical significance.
Large sample size.
Multiple “replications” of treatment effect.
What are the weaknesses of the study?
Lack of random assignment.
Focus on standardized test performance.