Nonexperimental and Quasi-experimental Studies

undefined
 
 
1
 
Nonexperimental and quasi-experimental
studies often look like experiments in terms of
the general structure of the research study
since they all compare groups under treated
different conditions.
 
2
 
A quasi-experimental design is one that looks
like an experimental design but lacks the key
ingredient 
-- random assignment
.
 
Uses Intact groups – Two high schools treated
differently
 
3
 
Non-experimental research
compares groups
 but does not attempt to
explain the 
cause and effect 
relationship.
 
4
 
1.
Between-subjects 
designs, also
known as 
nonequivalent
 group
designs
2.
 
Within-subjects 
designs, also known
as 
pre–post 
designs
 
5
 
Researcher cannot control variables or
conditions that makes the two groups
equivalent.
 
6
 
( 1) the 
differential research 
design. 
(Non)
( 2) the 
posttest- only 
non-equivalent control
group design. 
(Non)
( 3) the 
pretest– posttest 
nonequivalent control
group design. 
(Quasi)
 
7
 
Group differences are 
the primary interest
not the cause an effect.
Studies 
pre-existing groups
No treatment
This type of study often is called 
ex post
facto 
research because it looks at differences
“ after the fact;” that is, at differences that
already exist between groups.
 
8
 
Age differences
Gender differences
Difference between 
CSULB and CSULA
students in their Math scores.
 Compare academic performance of 2 groups
of 
high
 and 
low
 
self esteem
 
9
 
This type of study is occasionally called a
static 
group comparison.
Compares 
treatment 
with no-treatment
group
 
10
 
Example
, Difference between 
those who take
a course and those who don’t.
Comparing 2 high schools one with a
pregnancy
 prevention program and one
without
Comparing two classes after they were
taught with 2 different 
teaching methods
.
 
11
 
A much stronger version of the nonequivalent
control group design is often called a pretest–
posttest nonequivalent control group design and
can be represented as follows:
 
 
 
 
The addition of the pretest measurement allows
researchers to 
address the problem of
assignment bias 
that exists with all
nonequivalent group research.
 
12
 
Although the addition of a pretest to the
nonequivalent control group design 
reduces
some threats 
to internal validity, it does not
eliminate them completely.
 
Example,
Groups are equal in their pretest but not in
their IQ
 
13
 
A series of observations is made over time.
Collectively
, such studies are known as pre–post
designs.
 
14
 
One- group pretest– posttest design 
(Non)
Time- series design 
(Quasi)
 
15
 
the 
five categories 
of time- related threats
are history, instrumentation, testing effects,
maturation, and statistical regression can
threaten internal validity.
 
16
 
 
Because the one- group pretest– posttest
study 
precludes
 a cause- and- effect
conclusion, this type of research is classified
as 
non-experimental
.
 
example, 
political advertisement
 
17
 
May
 
October
 
18
 
A 
time- series 
design requires a series of
observations for each participant before and
after a treatment or event.
 
 
Thus, the series of observations allows a
researcher to 
minimize most threats to
internal validity
. As a result, the time- series
design is classified as 
quasi- experimental
.
 
19
 
It is possible for an external event ( 
history
) to
be a threat to internal validity 
EVEN
 in 
time-
series 
designs, but only if the event occurs
simultaneously
 with the treatment.
 
20
 
21
 
Research designs that focus on a single case,
rather than a group of participants, are
occasionally called 
single-case time-series
designs but are more often classified as
single- subject or single- case designs.
 
22
 
23
 
Two basic types of developmental research
designs are the 
cross- sectional 
design and the
longitudinal design
.
 
24
 
25
 
The cross- sectional developmental research
design uses different 
age groups
 of individuals.
The different groups are measured at one point
in time and then compared.
 
 
26
 
One obvious advantage of the cross-
sectional design is that a researcher can
observe how behavior changes as people age
without waiting
 for a group of participants to
grow older.
Saves 
cost
 of follow up
 
27
 
A researcher cannot say anything about how
a 
particular
 individual develops over time
because individuals are not followed over
years.
 
28
 
29
 
Example 1, drugs legalization
 
Example 2, computer games
 
The longitudinal developmental research
design examines development by observing or
measuring a group of 
subjects over time
.
 
30
 
A major strength of the longitudinal research
design is the 
absence of cohort effects
because the researcher examines one group
of people over time rather than comparing
groups that represent different ages and
come from different generations.
Second, with longitudinal research, a
researcher can discuss 
how a single
individual’s 
behavior changes with age.
 
31
 
1-longitudinal research is extremely 
time
consuming
, both for the
 participants 
( it
requires a big commitment to continue in the
study) and the 
researcher.
 
32
 
2- In addition, these designs are 
very expensive
3- These designs are subject to high 
dropout
rates 
of participants. and it may weaken the
internal validity of the research.
4-
 Testing effects 
(the same individuals are
measured repeatedly).
 
33
 
Compare the results obtained from separate
samples at different times.
 
typically, this type of research is examining 
the
development of phenomena 
other than
individual aging.
 
 
this research 
combines 
elements of cross-
sectional and longitudinal designs.
 
34
 
35
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Nonexperimental and quasi-experimental studies resemble experiments but lack random assignment, making them valuable for group comparisons without establishing causation. This type of research design looks at differences between groups that already exist, focusing on group differences rather than cause and effect relationships. Examples include quasi-experimental designs, between-subjects designs, and pre-post designs. Such studies compare groups under different conditions without attempting to control variables. Explore the characteristics and applications of nonexperimental and quasi-experimental studies in research.

  • Research design
  • Nonexperimental
  • Quasi-experimental
  • Group comparisons
  • Causation

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  1. 1

  2. Nonexperimental and quasi-experimental studies often look like experiments in terms of the general structure of the research study since they all compare groups under treated different conditions. /35 2

  3. A quasi-experimental design is one that looks like an experimental design but lacks the key ingredient -- random assignment. Uses Intact groups Two high schools treated differently /35 3

  4. Non-experimental research compares groups but does not attempt to explain the cause and effect relationship. /35 4

  5. Between-subjects designs, also known as nonequivalent group designs Within-subjects designs, also known as pre post designs 1. 2. /35 5

  6. Researcher cannot control variables or conditions that makes the two groups equivalent. /35 6

  7. ( 1) the differential research design. (Non) ( 2) the posttest- only non-equivalent control group design. (Non) ( 3) the pretest posttest nonequivalent control group design. (Quasi) /35 7

  8. Group differences are the primary interest not the cause an effect. Studies pre-existing groups No treatment This type of study often is called ex post facto research because it looks at differences after the fact; that is, at differences that already exist between groups. /35 8

  9. Age differences Gender differences Difference between CSULB and CSULA students in their Math scores. Compare academic performance of 2 groups of high and low self esteem /35 9

  10. This type of study is occasionally called a static group comparison. Compares treatment with no-treatment group /35 10

  11. Example, Difference between those who take a course and those who don t. Comparing 2 high schools one with a pregnancy prevention program and one without Comparing two classes after they were taught with 2 different teaching methods. /35 11

  12. A much stronger version of the nonequivalent control group design is often called a pretest posttest nonequivalent control group design and can be represented as follows: The addition of the pretest measurement allows researchers to address the problem of assignment bias that exists with all nonequivalent group research. /35 12

  13. Although the addition of a pretest to the nonequivalent control group design reduces some threats to internal validity, it does not eliminate them completely. Example, Groups are equal in their pretest but not in their IQ /35 13

  14. A series of observations is made over time. Collectively, such studies are known as pre post designs. /35 14

  15. One- group pretest posttest design (Non) Time- series design (Quasi) /35 15

  16. the five categories of time- related threats are history, instrumentation, testing effects, maturation, and statistical regression can threaten internal validity. /35 16

  17. Because the one- group pretest posttest study precludes a cause- and- effect conclusion, this type of research is classified as non-experimental. example, political advertisement May October /35 17

  18. Chart Title 80% 70% 60% 50% 40% 30% 20% 10% 0% Before Summer After /35 18

  19. A time- series design requires a series of observations for each participant before and after a treatment or event. Thus, the series of observations allows a researcher to minimize most threats to internal validity. As a result, the time- series design is classified as quasi- experimental. /35 19

  20. It is possible for an external event ( history) to be a threat to internal validity EVEN in time- series designs, but only if the event occurs simultaneously with the treatment. /35 20

  21. /35 21

  22. Research designs that focus on a single case, rather than a group of participants, are occasionally called single-case time-series designs but are more often classified as single- subject or single- case designs. /35 22

  23. /35 23

  24. Two basic types of developmental research designs are the cross- sectional design and the longitudinal design. /35 24

  25. /35 25

  26. The cross- sectional developmental research design uses different age groups of individuals. The different groups are measured at one point in time and then compared. /35 26

  27. One obvious advantage of the cross- sectional design is that a researcher can observe how behavior changes as people age without waiting for a group of participants to grow older. Saves cost of follow up /35 27

  28. A researcher cannot say anything about how a particular individual develops over time because individuals are not followed over years. /35 28

  29. Elementary High School College Example 1, drugs legalization Example 2, computer games /35 29

  30. The longitudinal developmental research design examines development by observing or measuring a group of subjects over time. /35 30

  31. A major strength of the longitudinal research design is the absence of cohort effects because the researcher examines one group of people over time rather than comparing groups that represent different ages and come from different generations. Second, with longitudinal research, a researcher can discuss how a single individual s behavior changes with age. /35 31

  32. 1-longitudinal research is extremely time consuming, both for the participants ( it requires a big commitment to continue in the study) and the researcher. /35 32

  33. 2- In addition, these designs are very expensive 3- These designs are subject to high dropout rates of participants. and it may weaken the internal validity of the research. 4- Testing effects (the same individuals are measured repeatedly). /35 33

  34. Compare the results obtained from separate samples at different times. typically, this type of research is examining the development of phenomena other than individual aging. this research combines elements of cross- sectional and longitudinal designs. /35 34

  35. 1970 1990 2010 /35 35

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