This topic contains a solution. Click here to go to the answer

Author Question: Sampling in outcomes studies differs from that in traditional quantitative research in several ways. ... (Read 12 times)

mwit1967

  • Hero Member
  • *****
  • Posts: 501
Sampling in outcomes studies differs from that in traditional quantitative research in several ways. Which of the following is true?
 
  a. A heterogeneous sample is preferred.
  b. A random sample is required.
  c. A small, focused sample is artificially assembled.
  d. The sample is selected before an intervention occurs.

Question 2

A preference for type I error, as compared with type II error, in outcomes research means that
 
  a. The outcomes researcher is not particularly concerned with drawing incorrect conclusions.
  b. The outcomes researcher would rather identify a possible connection that doesn't end up being true than miss something.
  c. The outcomes researcher would rather establish definite causation than an indefinite connection.
  d. Patients usually don't recognize what quality of care really is.



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

deja

  • Sr. Member
  • ****
  • Posts: 332
Answer to Question 1

ANS: A
The preferred methods of obtaining samples are different in outcomes studies; random sampling is not considered desirable and is seldom used. Heterogeneous, rather than homogeneous, samples are obtained. Rather than using sampling criteria that restrict subjects included in the study to decrease possible biases and that reduce the variance and increase the possibility of identifying a statistically significant difference, outcomes researchers seek large heterogeneous samples that reflect, as much as possible, all patients who would be receiving care in the real world.

Answer to Question 2

ANS: B
Donabedian (1987) identified the following problem-solving styles: (1) routine approaches to care versus flexibility, (2) parsimony versus redundancy, (3) variations in degree of tolerance of uncertainty, (4) propensity to take risks, and (5) preference for type I errors versus type II errors. In a type I error, the null hypothesis is rejected when it is true; this means that a promising glimmer that may affect outcomes is not noted.




mwit1967

  • Member
  • Posts: 501
Reply 2 on: Jul 8, 2018
Thanks for the timely response, appreciate it


Alyson.hiatt@yahoo.com

  • Member
  • Posts: 354
Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

 

Did you know?

Fatal fungal infections may be able to resist newer antifungal drugs. Globally, fungal infections are often fatal due to the lack of access to multiple antifungals, which may be required to be utilized in combination. Single antifungals may not be enough to stop a fungal infection from causing the death of a patient.

Did you know?

By definition, when a medication is administered intravenously, its bioavailability is 100%.

Did you know?

Russia has the highest death rate from cardiovascular disease followed by the Ukraine, Romania, Hungary, and Poland.

Did you know?

GI conditions that will keep you out of the U.S. armed services include ulcers, varices, fistulas, esophagitis, gastritis, congenital abnormalities, inflammatory bowel disease, enteritis, colitis, proctitis, duodenal diverticula, malabsorption syndromes, hepatitis, cirrhosis, cysts, abscesses, pancreatitis, polyps, certain hemorrhoids, splenomegaly, hernias, recent abdominal surgery, GI bypass or stomach stapling, and artificial GI openings.

Did you know?

The Centers for Disease Control and Prevention (CDC) was originally known as the Communicable Disease Center, which was formed to fight malaria. It was originally headquartered in Atlanta, Georgia, since the Southern states faced the worst threat from malaria.

For a complete list of videos, visit our video library