Quasi-experimental Design
Summary
TLDRThis video script introduces quasi-experimental design, a non-random assignment study aimed at estimating the causal impact of interventions. It highlights the design's resemblance to true experiments but without random participant selection. The script outlines different types, including non-equivalent comparison groups, pretest-posttest, interrupted time series, and combination designs, using examples like teaching methods and class hours to illustrate their application in determining the effectiveness of interventions.
Takeaways
- 🔬 Quasi-experimental design is an evidence-based interventional study that uses non-random assignment to estimate the causal impact of an intervention.
- 📊 It aims to determine causal relationships among variables, similar to true experimental research but without random selection of participants.
- 📝 The design includes pre-tests and post-tests, with the control group being optional depending on the design specifics.
- 🎓 The main objective is to evaluate the effectiveness of a treatment or intervention on a target population.
- 👥 The non-equivalent comparison groups design involves two testing groups that are not randomly assigned, leading to potential internal threats to validity.
- 🎼 An example study assesses the effectiveness of a new teaching method for music theory in bachelor of cultural and arts education students.
- 📉 The pretest and posttest design tests the dependent variable before and after the intervention, identifying changes as a result of the treatment.
- 👨🎓 This design is applied to students with low cognitive levels in music theory, using a pre-test to identify participants and a post-test to measure intervention effectiveness.
- 📈 The interrupted time series design involves multiple tests before and after an intervention, allowing for the observation of consistency and effectiveness over time.
- 🕒 An example of this design is determining the effect of shortened class hours on student productivity, with observations before and after the intervention.
- 🔄 The combination design merges elements of non-equivalent and pretest-posttest designs, comparing improvements between a test group receiving treatment and a control group.
- 🎼 Another study example explores the effects of a new teaching method on students' attitudes towards music theory, using pre- and post-tests to measure changes.
Q & A
What is a quasi-experimental design?
-A quasi-experimental design is an evidence-based interventional study that uses non-random assignment to estimate the causal impact of an intervention on a target population, aiming to determine causal relationships among variables.
How does quasi-experimental design differ from true experimental research?
-Quasi-experimental design resembles true experimental research but differs in that there is no random selection of participants involved in the study.
What are the key components of quasi-experimental design?
-Quasi-experimental design involves pre-tests and post-tests and may or may not include a control group, depending on the design.
What is the main objective of quasi-experimental design?
-The main objective of quasi-experimental design is to evaluate the effectiveness of a treatment or an intervention.
What is the non-equivalent comparison groups design in quasi-experimental research?
-The non-equivalent comparison groups design involves two testing groups that are not randomly assigned, which may lead to internal threats to the validity of the research results.
What factors might influence the results of a non-equivalent comparison groups design?
-Factors such as the student's IQ level, student behavior, teaching strategy, and student environment might influence the results of a non-equivalent comparison groups design.
What is the pretest and posttest design in quasi-experimental research?
-The pretest and posttest design tests the dependent variable before and after the intervention is given, allowing researchers to observe changes due to the intervention.
How does the interrupted time series design differ from the pretest and posttest design?
-The interrupted time series design involves a series of tests at given intervals before and after an intervention, allowing researchers to observe the consistency of the test and verify the effectiveness of the treatment.
What is a combination design in quasi-experimental research?
-A combination design combines elements of non-equivalent designs and pretest and posttest designs, involving a test group and a control group, with only the test group receiving the intervention.
What is the purpose of using both a test group and a control group in a combination design?
-The purpose is to determine the extent of improvement between the test group and control group and to assess whether changes are caused by the treatment or other factors.
Can you provide an example of a quasi-experimental design study mentioned in the script?
-An example given in the script is a study assessing the effectiveness of a new method of teaching music theory to Bachelor of Cultural and Arts Education students.
Outlines
🔬 Introduction to Quasi-Experimental Design
This paragraph introduces the concept of quasi-experimental design, an evidence-based interventional study that uses non-random assignment to estimate the causal impact of an intervention. It aims to determine causal relationships among variables and is similar to true experimental research but without random selection of participants. The paragraph also mentions the inclusion of pre-tests and post-tests and the optional nature of a control group, depending on the design. The main objective is to evaluate the effectiveness of treatments or interventions, and the paragraph proceeds to describe different types of quasi-experimental designs, including the non-equivalent comparison groups design, which involves two testing groups that are not randomly assigned and may be influenced by internal threats to the validity of the research results.
📚 Types of Quasi-Experimental Designs
This paragraph delves into the various types of quasi-experimental designs, starting with the non-equivalent comparison groups design, which is exemplified by a study assessing a new method of teaching music theory to students. It discusses the potential influencing factors such as student IQ levels, behavior, teaching strategy, and environment. The paragraph then introduces the pretest-posttest design, which tests the dependent variable before and after the intervention, using a case study involving students with low cognitive levels in music theory. The interrupted time series design is presented next, which involves multiple tests before and after an intervention to observe consistency and verify the treatment's effectiveness, exemplified by a study on the effect of shortened class hours on student productivity. Lastly, the paragraph discusses the combination design, which combines elements of non-equivalent and pretest-posttest designs, aiming to determine the extent of improvement between a test group and a control group, with an example of a study on the effects of a new teaching method on students' attitudes towards music theory.
Mindmap
Keywords
💡Quasi-experimental design
💡Evidence-based intervention
💡Causal impact
💡Non-random assignment
💡Pre-test and post-test
💡Control group
💡Non-equivalent comparison groups design
💡Internal threats to validity
💡Interrupted time series design
💡Combination design
💡Treatment
Highlights
Quasi-experimental design is an evidence-based interventional study that uses non-random assignment to estimate the causal impact of an intervention.
This design aims to determine causal relationships among variables without random selection of participants.
Quasi-experimental research involves pre-test and post-tests, with the control group being optional.
The main objective is to evaluate the effectiveness of a treatment or intervention.
Non-equivalent comparison groups design involves two testing groups with non-random assignment.
Internal threats to the validity of results may arise from factors such as student IQ levels and behavior.
Pretest-posttest design tests the dependent variable before and after the intervention.
Interrupted time series design involves multiple tests before and after an intervention to observe consistency and verify effectiveness.
Combination design combines elements of non-equivalent and pretest-posttest designs to determine the extent of improvement.
Example study: Assessing the effectiveness of a new method of teaching music theory to bachelor students.
Example study: Evaluating an intervention program for students with low cognitive levels in music theory.
Example study: Determining the effect of shortened class hours on student productivity.
Example study: Examining the effects of a new teaching method on students' attitudes towards music theory.
Quasi-experimental design can help identify factors that influence study results, such as teaching strategy and environment.
The design allows for the observation of changes in testing to verify the true effectiveness of a treatment.
Combination design helps to determine if changes are caused by the treatment or other factors.
Quasi-experimental design provides a method to evaluate interventions in situations where random assignment is not feasible.
Transcripts
[Music]
hey guys i am ryan and this time we'll
talk about the quasi-experimental design
quasi-experimental design is an
evidence-based interventional study that
uses non-random assignment to estimate
the causal impact of an intervention on
a target population
this kind of research design aims to
determine causal relationships among
variables
[Music]
in this research the site bears
resemblance to true experimental
research but differs
[Music]
take note that there is no random
selection of participants in quasa
experimental research design
[Music]
this research design also involves
pre-test and post-tests
[Music]
on this kind of research design the
control group is optional dependent on
the design
[Music]
now the main objective of quasa
experimental design is to evaluate the
effectiveness of a treatment or an
intervention
now let's proceed to the different types
of quasi-experimental design
the first one is the non-equivalent
comparison groups design which involves
two testing groups
it is considered as non-equivalent since
members of groups involved are not
randomly assigned
there may be factors that might
influence the result of the study
and these factors are considered
internal threats to the validity of the
results of the research
[Music]
in this design both groups will be given
the same treatment and will undergo post
tests
[Music]
now let's consider this study which aims
to assess the effectiveness of new
method of teaching music theory to
bachelor of cultural and arts education
students
now as i mentioned earlier there will be
two groups in this design
now both groups will undergo the new
method of teaching music theory
which will be considered as treatment in
this particular example
after the treatment is implemented both
groups will have a post test wherein the
results will be identified
now since the participants are not
randomly assigned there may be factors
that might influence the result of the
study such as the student's iq level
students behavior
teaching strategy
and students environment
now let's proceed to the next type of
quasa quasi-experimental design which is
the pretest and posters design
now this design tests the dependent
variable before the intervention is
given and after the intervention has
been given
now let's consider this example which
aims to either students with low
cognitive level in music theory with an
intervention program
now a group of participants will undergo
a pts to identify the students with low
cognitive level in music theory
now once the participants have been
identified they will undergo a treatment
or an intervention program
now as they finish they will now undergo
any posttest wherein the results will be
identified if they pass or fail
from here the researchers can now come
up with conclusions
now let's proceed to interrupt the time
series design which is a variant of
peta's postlet's design
this involves a series of testing at
given intervals before and after an
intervention has been given this design
conducts multiple tests before and after
the intervention which allows the
researcher to observe the consistency of
the test it also verify if the treatment
has been truly effective based on the
changes in the testing made
now here's a study which aims to
determine the effect of shortened class
hours on productivity of students
in this case the researcher will have
multiple observations before the
treatment is given which is the
shortened class hours after that another
multiple observations will be given
after the treatment has been given
from here
we can conclude that the treatment has a
positive effect on the productivity of
the students
lastly
here's a combination design which
combines the elements of both
non-equivalent designs and pretest and
post-test designs
this design involves a test group and
control group
both groups are given impedance but the
treatment is only given to one group but
both will have post deaths
the objective is to determine the extent
of the improvement between the test
group and control group
and the main question to determine is
whether the changes is caused by the
treatment or other factors here's
another study which is the effects of
new method and teaching music purely
towards students attitude on the subject
now here group a is the test group and
group b will be the control group
now both groups will have a pre-test to
determine their initial attitude on
music theory
however only the group a or the test
group will have the intervention or the
treatment
after the intervention has been given
both groups will have their posters to
determine if there's an improvement or
changes on their aptitude on music
theory
now that is quasi-experimental design
thank you
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