Which of the following statements are correct about Multiple Correlation?
A. Multiple correlation can be used to select the test battery which is composed of the test items that correlate lowest to the criterion and highest with one another.
B. Test item that correlate highly with another one is considered to be measuring the same thing and is therefore superfluous.
C. If two test items ae formed to be highly related, the one that correlates lowest with the criterion is selected.
D. It these are considerable number of test items multiple correlation process select least no of items to comprise the test battery.
E. Regression equations can also be used to predict an individual performance based on the scores other selected items.
Choose the correct answer from the options given below:

Correct option is A

Let us analyze each statement to determine its correctness:
· A. Multiple correlation can be used to select the test battery which is composed of the test items that correlate lowest to the criterion and highest with one another:
· This statement is incorrect. A good test battery should include test items that correlate highly with the criterion (desired performance outcome) and minimally with one another. High inter-correlation among items can result in redundancy.
· B. Test items that correlate highly with another one are considered to be measuring the same thing and are therefore superfluous:
· This statement is correct. Highly correlated items indicate redundancy in measurement, and one of the items can be excluded.
· C. If two test items are found to be highly related, the one that correlates lowest with the criterion is selected:
· This statement is incorrect. In the case of highly related items, the item with the higher correlation to the criterion should be retained, not the one with the lower correlation.
· D. If there are a considerable number of test items, the multiple correlation process selects the least number of items to comprise the test battery:
· This statement is correct. The goal of multiple correlation analysis is to create a test battery that explains the most variance in the criterion with the fewest items, avoiding redundancy.
· E. Regression equations can also be used to predict an individual’s performance based on the scores of other selected items:
· This statement is correct. Regression analysis is a core tool in multiple correlation, used to predict outcomes based on the relationship between multiple predictors and the criterion.
Correct Statements: B, D, E Correct Answer: (a) B, D, E only Information Booster: 1. Multiple Correlation:
· Measures the relationship between one criterion variable and multiple predictor variables.
· Used in test development, sports science, and psychology to select the best predictors for performance.
2. Redundancy in Items:
· Items that highly correlate with one another are redundant and do not add unique value.
3. Regression Equations:
· Used to derive predictions of performance, enabling researchers to forecast outcomes with high accuracy.
4. Optimizing Test Batteries:
· Effective test batteries balance high predictive validity (relation to the criterion) with minimal redundancy.