The correct answer would be option C, Emotional Component.
Ms. Kozena's negative feeling about junk food best illustrates the Emotional Component of Attitudes.
Explanation:
There are three main components of attitudes. These components are as follows:
- Affective Component
- Behavioral Component and
- Cognitive Component
This model of attitude is also called the ABC model of attitude.
In the Affective component of the attitude, Emotional component comes. This component shows or refers to an emotional reaction that one may have towards an attitude or object or anything.
So when Ms. Kozena told her adolescent children that she gets upset when she sees her children eating junk food, is a side of emotional component in which she has a negative attitude towards eating junk food.
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Answer: MMPI
(Minnesota Multiphasic Personality Inventory)
Explanation:
MMPI (Minnesota Multiphasic Personality Inventory) is the personality inventory for examining psychopathology and characteristics of personality of a person.It is considered as the psychological test that is carried out on people who are suspected with some mental illness or emotional disorder.
According to the question,Dr. Zytowics should conduct Minnesota Multiphasic Personality Inventory on client to examine his personality whether he consist depression, emotional illness, social feat etc.
Answer:
Routine activities theory.
Explanation:
Marcus Felson and Lawrence E. Cohen developed the Routine activities theory to explain the ecological process of the crime or situation of the crime thus diverting the study of criminology from just the mere offenders. They used this theory to explain the crime in the United States in the period following World War two where the economy is booming. Therefore they relate the occurrence of crime to the more opportunities provided than merely in social problems of poverty, unemployment, etc.
Answer:
The correct answer is D.
Explanation:
A confounding variable is a variable that you didn’t account for. It is when an experimenter cannot tell the difference between the effects of different factors on a variable. This method is used to influence the outcome of experimental design.