Asked by Alexandra Arana on Apr 27, 2024

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Statistical conclusion validity refers to:

A) the degree of certainty with which one can make statements about the existence of a causal relationship between the variables in a study.
B) the degree to which the measured variables used in a study represent the hypothesized constructs.
C) the degree to which a researcher reaches the correct conclusion about the relationships among the variables in a research question.
D) the degree to which the causal relationship is generalizable across units, treatments, outcomes, and settings.

Statistical Conclusion Validity

The degree to which conclusions drawn from statistical procedures are accurate and reliable.

Causal Relationship

A type of connection between two variables where a change in one directly influences or causes a change in the other.

Measured Variables

Variables in an experiment or study that are quantitatively analyzed to understand their impact or relationship with other variables.

  • Identify factors that jeopardize the validity of statistical conclusions, such as range restriction, and comprehend their impact on research findings.
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DC
Dytayja CohenApr 28, 2024
Final Answer :
C
Explanation :
Statistical conclusion validity specifically refers to the extent to which a researcher can reach the correct conclusion about the relationships among variables in a study. It is concerned with whether the statistical analysis of the data provides a correct representation of the true relationship between the variables in question. A, B, and D are all different types of validity but do not specifically address the issue of drawing correct conclusions from statistical analyses.