Describe power and discuss how power is maximized using the six (6) factors whic

Question

Describe power and discuss how power is maximized using the six (6) factors which were covered in lecture. Note: It is not enough to identify and discuss the six factors which affect power, rather you will need to discuss how to maximize power using those six factors and why/how power is increased in each situation? On a side note, this the six factors that influence power: 1. Size of the difference or relationship. 2. Size of the error variance. 3. Alpha (significance) level.4. Sample size. 5. Nature of H1 (one-¬or two-¬tailed) 6. Design type (between-¬or within-¬groups)

Explanation / Answer

POWER: The probability of not committing a Type II error is called the power of a hypothesis test

Effect size

To compute the power of the test, one offers an alternative view about the "true" value of the population parameter, assuming that the null hypothesis is false. The effect size is the difference between the true value and the value specified in the null hypothesis.

Effect size = True value - Hypothesized value

Factors That Affect Power

The power of a hypothesis test is affected by three factors.

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