If Ken does not account for variables such as age that could also influence one's ability to recall these events, age could be considered a "confounding variable".
A confounding variable is an outside impact that progressions the impact of a dependent and independent variable. This incidental impact is utilized to impact the result of a experimental plan. Basically, a confounding variable is an additional variable went into the condition that was not represented. confounding variables can demolish an examination and deliver futile outcomes. They propose that there are connections when there truly are definitely not.
Work, for example is the subject of an entire branch of psychology. psychological, behavioural, emotional, and social factors.
Another reason for the bystander effect is not wanting to draw negative attention to oneself is the Bystander Effect or Bystander Apathy refers to this.
<h3>What is the Bystander Effect?</h3>
- The bystander effect happens when other people dissuade someone from taking action in an emergency, against a bully, or during an assault or other crime because they are present.
- The more bystanders there are, the less likely it is that any of them will step in to aid someone who needs it.
- When there are few or no other witnesses present, people are more likely to act in a crisis.
<h3>What is a case of the bystander effect?</h3>
- The savage killing of a young woman named Catherine "Kitty" Genovese is the most widely used illustration of the bystander effect in introductory psychology courses.
- Genovese, who was 28 years old, was traveling home from work on March 13, 1964.
Learn more about the Bystander Effect here:
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Answer:
Among individuals age 65 and over, the number of three-generation households has declined from 70 percent in 1980 to 16 percent in 2010.
Explanation:
Answer:
cross-sectional study
Explanation:
A type of study in which data is gathered at one time from groups of participants who represent different age groups is an example of a cross-sectional study. A cross-sectional study is a type of study design that involves subjects who vary in the variable of interest such as age but have a common characteristics and observations are made at a single point in time.
In the scenario from the question, the variable of interest is most likely the effect of varying age groups on personal health. The variable of interest, age group varies but the population has a common characteristic which is that they are Americans and the study is done at a particular time and not spread out as in cohort studies. This is an example of a cross-sectional study.
