**Identifying the Correct Answer**

As we analyze the options provided in the question, we focus on understanding how each component affects statistical power.

1. **Sample Size**: Increasing the sample size generally increases statistical power, allowing researchers to detect effects more reliably.

2. **Eta Squared**: This is a measure of effect size, indicating the proportion of variance in the dependent variable that can be attributed to the independent variable. It does not directly impact statistical power when increased.

3. **Effect Size**: A larger effect size increases statistical power because it makes it easier to detect a true effect if it exists.

4. **Population Standard Deviation**: Increasing the population standard deviation makes the distribution wider, which can reduce the power to detect an effect because the overlap between groups increases.

**Final Answer**: Increasing the **population standard deviation** will reduce statistical power.

Question

**Identifying the Correct Answer**

As we analyze the options provided in the question, we focus on understanding how each component affects statistical power.

1. **Sample Size**: Increasing the sample size generally increases statistical power, allowing researchers to detect effects more reliably.
  
2. **Eta Squared**: This is a measure of effect size, indicating the proportion of variance in the dependent variable that can be attributed to the independent variable. It does not directly impact statistical power when increased.

3. **Effect Size**: A larger effect size increases statistical power because it makes it easier to detect a true effect if it exists.

4. **Population Standard Deviation**: Increasing the population standard deviation makes the distribution wider, which can reduce the power to detect an effect because the overlap between groups increases.

**Final Answer**: Increasing the **population standard deviation** will reduce statistical power.

Knowee AI · Accepted Answer

**Identifying the Correct Answer**

As we analyze the options provided in the question, we focus on understanding how each component affects statistical power.

1. **Sample Size**: Increasing the sample size generally increases statistical power, allowing researchers to detect effects more reliably.
  
2. **Eta Squared**: This is a measure of effect size, indicating the proportion of variance in the dependent variable that can be attributed to the independent variable. It does not directly impact statistical power when increased.

3. **Effect Size**: A larger effect size increases statistical power because it makes it easier to detect a true effect if it exists.

4. **Population Standard Deviation**: Increasing the population standard deviation makes the distribution wider, which can reduce the power to detect an effect because the overlap between groups increases.

**Final Answer**: Increasing the **population standard deviation** will reduce statistical power.

ncreasing __________________ will reduce statistical power. sample size eta squared effect size population standard deviation

Question

Increasing __________________ will reduce statistical power.

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