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Oct 27, 2016 · This brief provides schools and districts with an overview of a matched-comparison group design and how they can use this research methodology to answer questions about the impact and causality of aspects of an educational program.
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This goal can often be achieved by choosing well-matched samples of the original treated and control groups, thereby reducing bias due to the covariates. Since the 1970’s, work on matching methods has examined how to best choose treated and control subjects for comparison.
Feb 25, 2016 · There are two common misconceptions about case-control studies: that matching in itself eliminates (controls) confounding by the matching factors, and that if matching has been performed, then a “matched analysis” is required.
- Neil Pearce
- 2016
- Independent Measures
- Repeated Measures Design
- Counterbalancing
- Matched Pairs Design
Independent measures design, also known as between-groups, is an experimental design where different participants are used in each condition of the independent variable. This means that each condition of the experiment includes a different group of participants. This should be done by random allocation, ensuring that each participant has an equal c...
Repeated Measures design is an experimental design where the same participants participate in each independent variable condition. This means that each experiment condition includes the same group of participants. Repeated Measures design is also known as within-groups or within-subjects design. 1. Pro: As the same participants are used in each con...
Suppose we used a repeated measures design in which all of the participants first learned words in “loud noise” and then learned them in “no noise.” We expect the participants to learn better in “no noise” because of order effects, such as practice. However, a researcher can control for order effects using counterbalancing. The sample would be spli...
A matched pairs design is an experimental design where pairs of participants are matched in terms of key variables, such as age or socioeconomic status. One member of each pair is then placed into the experimental group and the other member into the control group. One member of each matched pair must be randomly assigned to the experimental group a...
Feb 3, 2011 · Matching is a technique used to avoid confounding in a study design. In a cohort study this is done by ensuring an equal distribution among exposed and unexposed of the variables believed to be confounding.
Matching ensures that the distributions of certain variable (s) are identical (or as close to identical as possible) across exposure groups in cohort studies and outcome groups in case–control studies.
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Does a matched design control for confounding by the Matching factors?
Does matching eliminate confounding in a case-control study?
Is matching an appealing method to avoid confounding?
What is matched-comparison group design?
Do case-control studies need a matched analysis?
What is matched pairs design?
Matching is a technique used to avoid confounding in a study design. In a cohort study this is done by ensuring an equal distribution among exposed and unexposed of the variables believed to be confounding.
