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Author Question: What are experimental and mundane realism? Why can a study be low in mundane realism and still be ... (Read 66 times)

bucstennis@aim.com

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What are experimental and mundane realism? Why can a study be low in mundane realism and still be high in experimental realism?
 
  What will be an ideal response?

Question 2

What role as the U.S. government had in the determination of races? Why can this be important in scientific research?
 
  What will be an ideal response?



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Carliemb17

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Answer to Question 1

Mundane realism involves the question of whether an experimental setting resembles a situation that a person would be likely to encounter in everyday life. Experimental realism involves whether the participant is engaged properly in the experimental task.
A study can be high in experimental realism but low in mundane realism because the participant engages in the task in the way that the experimenter wants, even if the experimental setting is artificial and controlled.

Answer to Question 2

The U.S. government creates categories for races in its everyday functioning. People are expected to select their race from a limited set of categories and not every governmental agency identifies the same categories as races. Thus there is inconsistency in government categories.
In addition, people currently self-select their racial category. Depending on the purpose of their choice of races, the same person might select different categories. Further, across the decades, the government has used different criteria for assigning race to an individual and has even used categories that have dropped out of use (e.g., quadroon, octoroon, mulatto).
This is a problem in research because scientists often base the racial categories in their research on governmental guidelines. As such, they use categories that are not necessarily reliable. If their categories aren't reliable, then can't be valid.




bucstennis@aim.com

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Reply 2 on: Jul 13, 2018
YES! Correct, THANKS for helping me on my review


kishoreddi

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Reply 3 on: Yesterday
Gracias!

 

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