Question

Which one of the following statistics can be used to make decisions about retaining or discarding an item based on how well the item discriminates between high- and low-scoring test takers? Item-total correlation p-value level Item bias index

Answer 1

The statistic known as "p-value level" can be used to determine whether to keep or remove a question depending on how well it distinguishes between test takers with high and low scores.

Define the term p-value level statistics?

A statistical measurement known as a p-value is employed to check a hypothesis' validity against actual data.

• A p-value calculates the likelihood of getting the outcomes that were observed, presuming that null hypothesis is correct.
• The significance levels of the difference that was found increases with decreasing p-value.
• The probability value, or p value, indicates the likelihood that your data might be true under null hypothesis.
• This is accomplished by estimating the probability of given test statistic, that is the figure obtained from a statistical analysis of your data.

Thus, the statistic known as "p-value level" can be used to determine whether to keep or remove a question depending on how well it distinguishes between test takers with high and low scores.

To know more about the p-value level statistics, here

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