Asking Many Similar Questions When Trying to Measure a Concept

question 1

Multiple Choice

Asking many similar questions when trying to measure a concept is done to:

• A)ensure validity.
• B)cancel out measurement error.
• C)make sure participants are not lying.
• D)allow participants to skip questions.

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Definitions:

Type I Error

The error of rejecting a true null hypothesis, also known as a false positive.

Alpha

Often denoted as α, it is a significance level used in hypothesis testing, representing the probability of rejecting a true null hypothesis.

Alpha

A term often associated with the significance level in hypothesis testing, indicating the probability of rejecting a true null hypothesis.

Type II Error

The error occurs when the null hypothesis is not rejected when it is actually false.