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Author Question: When there are significant correlations between variables that should not be correlated, you could ... (Read 61 times)

futuristic

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on: Jun 20, 2018
When there are significant correlations between variables that should not be correlated, you could argue that the measurements do not show
 
  a. statistical conclusion validity.
  b. construct validity.
  c. divergent validity.
  d. external validity.

Question 2

. Researchers have induced mild, short-lived mood reduction in participants by having them read negative statements. The effect is to produce behaviors that are similar in some ways to those of depressed people.
 
  As such, we can conclude that measurements based on this technique show
  a. an acceptable level of construct validity.
  b. low measurement error.
  c. a high level of internal validity.
  d. good interrater reliability


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chinwesucks

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Reply #1 on: Jun 20, 2018
Answer to Question 1

c

Answer to Question 2

a


futuristic

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Reply 2 on: Jun 20, 2018
Wow, this really help

bblaney

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

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