Final Answer:
Participants needed for a Large Correlation (.50) in Power Analysis is:
C) 100
Step-by-step explanation:
Power analysis is a statistical method used to determine the sample size needed for a study to detect a specified effect size with a given level of confidence. In this case, a large correlation of .50 suggests a strong relationship between variables. To achieve sufficient power, a sample size of 100 participants (Option C) is recommended. This ensures that the study has a high likelihood of detecting the specified correlation, increasing the reliability of the findings.
A correlation of .50 is considered moderate to strong, and detecting such relationships typically requires a larger sample size for statistical power. A smaller sample may lack the ability to identify the correlation accurately, leading to inconclusive results. The choice of 100 participants strikes a balance between the need for an adequately powered study and practical considerations such as feasibility and resources.
Selecting a sample size is crucial in research design, as it directly impacts the study's ability to detect meaningful effects. In this context, opting for 100 participants aligns with the goal of achieving a robust statistical analysis and enhances the study's credibility by ensuring a more accurate representation of the underlying correlation in the population.