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Katena32 [7]
3 years ago
7

A person with a high degree of optimism is likely to experience low job satisfaction because he or she tends to have unrealistic

expectations. T/F
Social Studies
1 answer:
Advocard [28]3 years ago
7 0

This statement is false.

<em>A person with a high degree of optimism is likely to experience high job satisfaction because their motivation to work is higher and they expect positive outcome.</em>

Optimism is based on the principle of positive thinking and it leads to overall positive feelings about a situation. Job satisfaction refers to general positive attitude and feelings towards one's job.

A person with a high degree of optimism may have unrealistic expectations but is more willing to work hard despite extreme challenges. They work hard to prove that they <em>were able to make the unrealistic expectation reality</em>. They expect good things to happen and they rate of success in their jobs is high.

Optimism is related to better performance at work. High job satisfaction means higher productivity and less stress at work.

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The answer is sibling status. The more naturally explanatory variable is the sibling status.

 

 

EXPLANATION

An explanatory variable is basically a part of the independent variable. The explanatory variable is a kind of independent variable. The term is similar to one another because the explanatory variable is a part of the independent variable. The term independent means that that variable is not affected by any other variables, while the explanatory variable means that a variable can’t be decided for certain if it’s independent or not.

 

The line between the explanatory variable and the independent variable is not really that important. Except if you do advance research that has a lot of variables, then it may be important because the variables are interacting with each other. The differences between the explanatory variable and the independent variables are important in clinical research. But in most cases, specifically in statistics, the independent variable and explanatory variable are basically the same.

 

Here is an example to understand the independent variable and explanatory variable. Let’s say there are two variables that can explain the cause of weight gain, which are soda and fast food. Most people might think that soda and fast food are both independent of each other, but actually, they are not really independent of each other.  

It has been associated that if you eat fast food, then you must drink soda as a compliment. If you buy soda, then there will be a lot of fast food options around you, like the burger, hot dogs, or even nachos. Even though soda and fast food are not independent of each other, they still explain the effect of weight gain. Therefore, fast food and soda are explanatory variables because they can explain the weight gain.

LEARN MORE

If you’re interested in learning more about this topic, we recommend you to also take a look at the following questions:

Statistical studies: brainly.com/question/9004850

The nature of relationship between variables: brainly.com/question/6887561

KEYWORD: explanatory variable, research, independent variable

Subject: Social Studies

Class: College

Subchapter: Explanatory variable

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3 years ago
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I hope this help I wanted to know the answer too so I researched and got you one.

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