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Characteristics of Experimental and Quasi-Experimental Research Primary Purpose for Experimental and Quasi-Experimental Research Research Designs within Experimental and Quasi-Experimental Research
Independent variable- the variable that is manipulated, the treatment; it is the "cause" in a cause-and-effect relationship; it is usually identified as X and is plotted along the horizontal axis on a scatterplot Experimental group - the group of subjects who receive the treatment Control group - the group of subjects who do not receive any treatment Probability - the expected relative frequency of a particular outcome; the proportion of successful outcomes to all outcomes Replication - the reproduction of a research study such that sampling methods, instrumentation, and procedures are the same as a previous study; the sample obtained should be very similar to the previous study Bias - personal, unreasoned distortion
of judgment
Characteristics of Experimental and Quasi-Experimental Research
2. Independent variable is directly manipulated 3. Dependent variable is measured and a cause-and-effect relationship is inferred. 4. The distinction between the experimental and quasi-experimental is in the random selection and/or assignment of individuals to groups. In a true experimental design, the researcher randomly selects individuals to participate in the study and then randomly assigns those individuals to control/experimental groups. In a quasi-experimental design, the groups (intact classes) may be randomly selected and randomly assigned. Or individuals may be randomly selected but are not randomly assigned. Or individuals may not be randomly selected or randomly assigned. This is due to ethical issues in schools. Primary Purpose for Experimental and Quasi-Experimental Research
Research Designs within Experimental and Quasi-Experimental Research
2. Experimental and Control Group - one group receives the treatment while the other group receives no treatment; the use of pre-test and post-test reduces the threats to validity; more than two groups can be used, for example, you might want to explore the impact of two new teaching methods, so you could create three groups; one group gets method A, the second group gets method B, and the third group receives the traditional method; the third group functions as the control group 3. Single Case - one individual is used to measure the impact of the independent variable on the dependent variable usually using a pre-test and post-test (we will discuss this in greater detail when we study Chapter Six of your text). |
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