Please enable JavaScript.
Coggle requires JavaScript to display documents.
Designing a Quantitative Research - Coggle Diagram
Designing a Quantitative Research
Types:
Associational:
Determines the existence of relationships and its strenght.
Test relationship between variables
Make predictions depending on the outcomes
Used in survey-based research
Experimental:
It is not interested in the cause, but with its occurence.
Randomization is used
We can have truly experimental(with random assignment) and quasi.experimental(without random assignment).
Between- groups design: .
Control group design:
A comparison is also made. One of the groups does not receive treatment.
The only difference with the comparison of the results is the manipulation each one gets
Control group design:
Participants are randomly assigned to a group
Results of both groups will be compared
More treatment groups can be added
Research Materials:
Data elicitation techniques
All materials must be pilot-tested
The results of your pilot-tests will give validity to your research technique.
Intact classes:
Not recommended for every research
It enhaces the face validity of certain types of research
Researcher must consider how the classes are assigned
Counterbalancing:
Experimental desing in which test items are different for different participants
Measuring the effect of treatment:
Pre-test/Post-test:
Helps determine the immediate effect of treatment
How is language learning modified because of the treatment
It ensures comparability between before and after the research
Post-test only:
You cannot be ensured of the comparability of groups
Study performance at a particular point
Not recommended to give a pre-test because it alerts participants
Repeated measures design:
All tasks/treatments are given to different individuals in different orders
Multiple measures come from each participant
Factorial design;
Involves more than 1 independent variable
With or without randomization
All tasks/treatments are given to every participant
Time-series design:
Involves repeated observations
A baseline is set and everything goes from there
Used with small learner gropus
Helps overcome problems that exist in second-language learning
One-Shot design:
Used with processing paradigms
Not a truly experimental one, because of the lack of treatment
Meta-Analyses:
Determining wider impact
Not truly a design type
It is a way of setting up data for analysis