The Institutional changes between the 1960s and 1980s shifted the public policy from emphasizing public interest to upholding and satisfying the regulations. Among the greatly affected was the educational system. The structures of the different learning institutions were changed to accommodate dynamic market models and work around the expected outcomes of learning.
Answer: The numbers are 3/2. and 9/10
Explanation:
3 divided by 2 equals 1.5 and 9 divided by 10 equals 0.9
1.5 minus 0.9 = 0.6
The independent variable is psychotherapy while the dependent variable is the people.
<h3>The types of variables.</h3>
In an experiment, there are two (2) main types of variables and these include the following:
<h3>What is an independent variable?</h3>
An independent variable can be defined as the variable that is being manipulated by an experimenter or researcher. This ultimately implies that, it is typically considered to be the cause in an experiment and it stands alone because it cannot be changed by any variable being observed or measured.
<h3>What is a dependent variable?</h3>
A dependent variable can be defined as the variable which signifies the effect of an independent variable and it is dependent on other factors because it's the part of an experiment that's being observed or measured.
Based on the information provided about this experiment, we can infer and logically deduce that the independent variable is psychotherapy while the dependent variable is the people.
Read more on dependent variable here: brainly.com/question/25223322
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Answer:
False.
Explanation:
The study that Dr. Keyes wants to do is a study that uses two variables (pets and happiness). Dr. Keyes wishes to prove the cause and effect relationship between these two variables that prove that the greater the amount of pets (causes) people have, the greater the happiness of these people (effect). For this reason, we can say that Dr. Keyes is not doing a correlational study.
This is because, although the correlational study wishes to observe the relationship between two variables, this study cannot be applied to cause and effect relationships.
