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Statistical regression in experiments is the tendency for research participants who are near the 50th percentile on the pretest to show smaller gains on the posttest than research participants between the 1st and 20th percentiles.

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Statistical regression in experiments is the tendency for
research participants who are near the 50th percentile on the pretest to show smaller gains on the posttest than research participants between the 1st and 20th percentiles.
research participants who are at the 95th or higher percentile on the pretest to show smaller gains on the posttest than research participants who are near the 50th percentile on the pretest.
the posttest to have lower validity for research participants in the control group than for research participants in the experimental group.
analysis of covariance to over-estimate the pretest-posttest gains for the experimental and control groups.

 
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Correlational research has the limitation that

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Correlational research has the limitation that

only paper-and-pencil instruments can be used to measure the variables of interest.
it is not possible to form samples by randomly selecting individuals from a defined population.
correlational statistics can be used for prediction but not for explanation.
correlational results cannot demonstrate definitively whether two variables are causally related to each other.

 
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The primary difference between correlational and group-comparison research designs is that correlational research designs

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The primary difference between correlational and group-comparison research designs is that correlational research designs

cannot be used to predict matters of interest to educators
cannot provide descriptions of samples’ score descriptions.
are more similar to experiments in their sampling procedures.
typically involve the measurement of more values of variables.

 
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Canonical correlation is appropriate in situations where there are

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Canonical correlation is appropriate in situations where there are
only two dependent variables.
two or more dependent variables that are unrelated to each other.
two or more dependent variables that are related to each other.
two or more independent variables that are related to each other.

 
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