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There are four types of validity that affect the rigor of a quantitative study. What concerns the validity of inferences that there is an empirical relationship between variables?

A) Statistical conclusion validity
B) Internal validity
C) Construct validity
D) External validity

User Rivera
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Final answer:

The validity type concerning the empirical relationship between variables is Statistical conclusion validity. It evaluates whether the associations observed in the study are statistically significant and not due to chance or unrelated factors.

Step-by-step explanation:

A) Statistical conclusion validity. This type of validity concerns the extent to which inferences can correctly be made about the empirical relationship between variables.

In a quantitative study, statistical conclusion validity is crucial for determining whether the observed effects or associations are statistically significant, and it involves the use of appropriate statistical tests to assess this relationship. If a study lacks statistical conclusion validity, the findings might be due to chance, measurement error, or other factors that are not related to the variables being studied.

Other types of validity, such as internal validity, focus on the causal relationship between variables within the study; whereas, construct validity refers to the accuracy with which a test or scale measures the concept it's intended to measure. External validity pertains to the generalizability of the study's findings beyond the specific context in which the data were collected. Researchers need to ensure that their studies are designed in a way that addresses these different forms of validity to produce reliable and meaningful results.

User Hluhovskyi
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