Ch. 4 Test - Measuring Data

The true positive of a disease being tested is 80, the false positive is 90, the true negative is 10, and the false negative is 50. What is the specificity? 90% 10% 50% 100%

10%

You are studying a new screening test for ovarian cancer. Of the 250 who do not have the disease, 210 test negative for it with your new screen. of the 150 who do have the disease, 125 test positive with your screen.The positive predicative value of the screen is: 76% 84% 83.3% 90%

76%

You are studying a new screening test for ovarian cancer. Of the 250 who do not have the disease, 210 test negative for it with your new screen. of the 150 who do have the disease, 125 test positive with your screen. The sensitivity of your screen is: 90% 84% 83.3% 73.4%

83.3%

You are studying a new screening test for ovarian cancer. Of the 250 who do not have the disease, 210 test negative for it with your new screen. of the 150 who do have the disease, 125 test positive with your screen. The specificity of the screen is: 84% 90% 73.4% 83.3%

84%

When collecting data with multiple researchers, how a researcher views the data can affect the outcome of the study. To avoid this issue a researcher should assess: Sensitivity Homogeneity Inter-Rater reliability Content validity

Inter-Rater reliability

When your measurement tool is consistent and repeatable it is said to be? Valid Feasible Sensitive Reliable

Reliable

A doctor at Lakeside hospital discovered a test that was very successful at correctly identifying when a person has the H1N1 Virus. This would be a measure of: Sensitivity Specificity Convergent validity Homogeneity

Sensitivity

If the patient has a disease, the probability that the test for the disease will be positive refers to: Readability Specificity Sensitivity Positive predictive value

Sensitivity

The likelihood of a sick patient testing positive for a disease is: Specificity Reliability Predictive Validity Sensitivity

Sensitivity

In a study, the researcher administers a test several times. Doing so assesses: Stability Equivalence The standard distribution Probability

Stability

If a person does NOT have a disease and they test negative for it, it is an example of: False positive True positive True negative False negative

True negative

A test is developed for adolescent Hispanic mothers. The wording of the test is at a fifth grade level and in English. If the participants cannot read English, what does this affect? Validity Sampling stability Measurement capacity Inter-rater reliability

Validity

If a person does NOT have a disease, but tests positive for it, the result is a: true negative false negative true positive false positive true negative positive

false positive

You have discovered a new tool that records the outcome of sexually transmitted diseases. A previously validated tool reports that genital herpes is 40% in Chicago. The correlation between the old tool and your tool is 0.5. This result indicates: Convergent validity Divergent validity Content validity Ratio

Convergent validity

A person has a disease but tests negative with the screen for the disease. This is an example of: False positive Prevalence True negative False negative

False negative

What three main factors relate to reliability? Specificity, Sensitivity and Screening Test Stability, Homogeneity, and Specificity Stability, Homogeneity, and Equivalence

Stability, Homogeneity, and Equivalence

An instrument can be both valid and reliable. True False

True