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Author Question: A quasi-experimental research design would be preferable to an experimental design in which of these ... (Read 126 times)

RRMR

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A quasi-experimental research design would be preferable to an experimental design in which of these situations?
 
  a. A smaller sample size is sufficient to obtain significant results.
  b. Demonstration of a cause-and-effect relationship is the desired outcome.
  c. Descriptive statistics will be used to analyze the data.
  d. Data will need to be collected in a real-world setting.

Question 2

How are threats to validity affected when studies are conducted in real-world settings?
 
  a. Threats to both internal and external validity are increased.
  b. Threats to both internal and external validity are decreased.
  c. Threats to internal validity are decreased, whereas threats to external validity are increased.
  d. Threats to internal validity are increased, while threats to external validity are decreased.



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asdfasdf

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Answer to Question 1

ANS: D

Feedback
A Sample size is not a determinant of research design.
B An experimental design is stronger than a quasi-experimental design for establishing a cause-and-effect relationship.
C Descriptive statistics are used to analyze data in both quasi-experimental and experimental studies, although additional, inferential statistics are used in the analysis of experimental studies.
D Quasi-experimental studies are more appropriate in real-world settings, where randomization is difficult or impossible.

Answer to Question 2

ANS: D

Feedback
A Studies conducted in real-world settings have fewer threats to external validity.
B Studies conducted in real-world settings have more threats to internal validity.
C Studies conducted in real-world settings have more threats to internal validity and fewer threats to external validity.
D Studies conducted in real-world settings have fewer threats to external validity (generalizability) but have more threats to internal validity (control issues).




RRMR

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Reply 2 on: Jul 8, 2018
Gracias!


dantucker

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Reply 3 on: Yesterday
Great answer, keep it coming :)

 

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