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If correlational analyses indicate that higher levels of depression are related to poorer physical health, can we infer that depression causes poor health?
- a)No, because correlated variables do not indicate causal relationships
- b)No, because correlated variables are not based on inferential statistics
- c)Yes, because correlated variables indicate causal relationships
- d)Yes, because correlated variables are based on inferential statistics
- e)(a) and (b)
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
If correlational analyses indicate that higher levels of depression ar...
Answer:
Introduction:
Correlational analyses examine the relationship between two variables and determine the strength and direction of their association. However, it is important to note that correlation does not imply causation. This means that even if two variables are found to be correlated, it does not necessarily mean that one variable causes the other. The question asks whether we can infer that depression causes poor health based on correlational analyses indicating a relationship between higher levels of depression and poorer physical health.
Explanation:
The correct answer is option A: No, because correlated variables do not indicate causal relationships. Let's explore why this is the case:
1. Correlation does not imply causation:
Correlation refers to the statistical relationship between two variables, indicating how they vary together. However, the presence of a correlation does not establish a cause-and-effect relationship. There are several reasons why two variables may be correlated without one causing the other. Some possible explanations include:
- Third variable: The relationship between depression and poor health might be influenced by a third variable that is related to both. For example, a lack of social support or unhealthy lifestyle choices could contribute to both depression and poor physical health.
- Reverse causality: It is possible that poor physical health leads to depression, rather than the other way around. For instance, chronic pain or illness can significantly impact an individual's mental well-being.
2. Causal relationships require experimental evidence:
To establish a causal relationship, experimental designs are necessary. In an experimental study, researchers manipulate one variable (the independent variable) and observe its effect on another variable (the dependent variable), while controlling for other factors. Without experimental evidence, it is challenging to determine causality solely based on correlational analyses.
Conclusion:
In summary, correlational analyses can provide valuable insights into the relationship between variables, but they cannot establish causation. In the case of depression and poor physical health, the presence of a correlation does not allow us to infer that depression causes poor health. To determine causality, experimental studies and rigorous research designs are necessary.
Introduction:
Correlational analyses examine the relationship between two variables and determine the strength and direction of their association. However, it is important to note that correlation does not imply causation. This means that even if two variables are found to be correlated, it does not necessarily mean that one variable causes the other. The question asks whether we can infer that depression causes poor health based on correlational analyses indicating a relationship between higher levels of depression and poorer physical health.
Explanation:
The correct answer is option A: No, because correlated variables do not indicate causal relationships. Let's explore why this is the case:
1. Correlation does not imply causation:
Correlation refers to the statistical relationship between two variables, indicating how they vary together. However, the presence of a correlation does not establish a cause-and-effect relationship. There are several reasons why two variables may be correlated without one causing the other. Some possible explanations include:
- Third variable: The relationship between depression and poor health might be influenced by a third variable that is related to both. For example, a lack of social support or unhealthy lifestyle choices could contribute to both depression and poor physical health.
- Reverse causality: It is possible that poor physical health leads to depression, rather than the other way around. For instance, chronic pain or illness can significantly impact an individual's mental well-being.
2. Causal relationships require experimental evidence:
To establish a causal relationship, experimental designs are necessary. In an experimental study, researchers manipulate one variable (the independent variable) and observe its effect on another variable (the dependent variable), while controlling for other factors. Without experimental evidence, it is challenging to determine causality solely based on correlational analyses.
Conclusion:
In summary, correlational analyses can provide valuable insights into the relationship between variables, but they cannot establish causation. In the case of depression and poor physical health, the presence of a correlation does not allow us to infer that depression causes poor health. To determine causality, experimental studies and rigorous research designs are necessary.
Community Answer
If correlational analyses indicate that higher levels of depression ar...
Correlation does not imply causation. Correlational analyses are based on inferential statistics, but that is not why we cannot infer causal relationships from correlations.
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If correlational analyses indicate that higher levels of depression are related to poorer physical health, can we infer that depression causes poor health?a)No, because correlated variables do not indicate causal relationshipsb)No, because correlated variables are not based on inferential statisticsc)Yes, because correlated variables indicate causal relationshipsd)Yes, because correlated variables are based on inferential statisticse)(a) and (b)Correct answer is option 'A'. Can you explain this answer?
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If correlational analyses indicate that higher levels of depression are related to poorer physical health, can we infer that depression causes poor health?a)No, because correlated variables do not indicate causal relationshipsb)No, because correlated variables are not based on inferential statisticsc)Yes, because correlated variables indicate causal relationshipsd)Yes, because correlated variables are based on inferential statisticse)(a) and (b)Correct answer is option 'A'. Can you explain this answer? for Humanities/Arts 2024 is part of Humanities/Arts preparation. The Question and answers have been prepared according to the Humanities/Arts exam syllabus. Information about If correlational analyses indicate that higher levels of depression are related to poorer physical health, can we infer that depression causes poor health?a)No, because correlated variables do not indicate causal relationshipsb)No, because correlated variables are not based on inferential statisticsc)Yes, because correlated variables indicate causal relationshipsd)Yes, because correlated variables are based on inferential statisticse)(a) and (b)Correct answer is option 'A'. Can you explain this answer? covers all topics & solutions for Humanities/Arts 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for If correlational analyses indicate that higher levels of depression are related to poorer physical health, can we infer that depression causes poor health?a)No, because correlated variables do not indicate causal relationshipsb)No, because correlated variables are not based on inferential statisticsc)Yes, because correlated variables indicate causal relationshipsd)Yes, because correlated variables are based on inferential statisticse)(a) and (b)Correct answer is option 'A'. Can you explain this answer?.
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