11 Questions
Which of the following is true of the Pearson correlation coefficient?
c) It is legitimately used only when the relations between variables are linear.
Typically, adding items to a test will have what effect on the test’s reliability?
d) Reliability will increase.
Which of the following is true for parallel forms of a test?
d) Both means and variances are equal for the two forms.
Which of the following is NOT a type of validity?
Face validity
Which of the following is an example of a false positive?
A test identifies a client as schizophrenic when the client is not.
Which type of reliability estimate is obtained by correlating pairs of scores from the same person on two different administrations of the same test?
Test-retest reliability
Which of the following is NOT a part of the formula for the standard error of measurement for a particular test?
Validity of the test
Which of the following best describes a "good" test item?
It distinguishes high scorers from low scorers.
What does the term 'bias' refer to in the context of testing?
Systematic variation that is unrelated to the construct being measured.
What type of validity evidence best sheds light on whether a college admissions test is valid for selecting students who will complete the program within four years?
Predictive validity.
What results in a negative item-discrimination index?
More high scorers get the item correct.
Study Notes
Correlation Coefficient
- The Pearson correlation coefficient is a measure of the linear relationship between two continuous variables.
Test Reliability
- Adding items to a test will typically increase the test's reliability.
- Test reliability can be estimated by correlating pairs of scores from the same person on two different administrations of the same test, which is known as test-retest reliability.
Parallel Forms
- Parallel forms of a test are different forms of the same test that are designed to be equivalent in terms of content, format, and difficulty.
Types of Validity
- Face validity is not a type of validity.
- Validity evidence can be used to determine whether a test is valid for a specific purpose, such as selecting students who will complete a college program within four years.
False Positives
- A false positive occurs when a test result incorrectly indicates that a person has a particular trait or characteristic, such as a medical condition.
Standard Error of Measurement
- The formula for the standard error of measurement does not include the number of test items.
Good Test Items
- A "good" test item is one that is able to distinguish between individuals who are high or low on the trait being measured.
Bias in Testing
- Bias in testing refers to the tendency of a test to produce different results for different groups of people, such as different ethnic or gender groups.
Validity Evidence
- Predictive validity evidence is best suited to determine whether a test is valid for selecting students who will complete a college program within four years.
Item-Discrimination Index
- A negative item-discrimination index results when a test item is easier for low-ability individuals than for high-ability individuals.
Test your knowledge of statistics with this quiz! Learn about the Pearson correlation coefficient and its properties, as well as the impact of adding items on test reliability. Challenge yourself and see how well you understand these concepts.
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