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Experimental research is often referred to as causal research.
Type II Errors
False negatives in statistical hypothesis testing, where a real effect or difference is missed because it is incorrectly assumed there's no effect.
Type I Errors
Occurs when a statistical hypothesis test incorrectly rejects a true null hypothesis, leading to a false positive result.
Statistically Nonsignificant
A term used to describe a result that does not show a meaningful difference or relationship as determined by statistical analysis.
Confounds
Variables that are not controlled in a research study, potentially leading to incorrect conclusions by mixing their effects with those of the variables of interest.
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Q31: Which of the following is currently the
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Q44: Secondary data can identify potential problems.
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