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Having a larger sample size is good for __, but not necessarily good for __.Group of answer choicesexternal validity; statistical validityinternal validity; external validityreliability; validitystatistical validity; external validity

Question

Having a larger sample size is good for __, but not necessarily good for __.Group of answer choicesexternal validity; statistical validityinternal validity; external validityreliability; validitystatistical validity; external validity

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Solution

Having a larger sample size is good for statistical validity, but not necessarily good for external validity.

Here's why:

  1. Statistical Validity: A larger sample size improves the statistical validity of a study because it reduces the margin of error and the impact of random variation in the data. This means that the results of the study are more likely to be accurate and reliable.

  2. External Validity: However, a larger sample size does not necessarily improve the external validity of a study. External validity refers to the extent to which the results of a study can be generalized to other situations and populations. If the sample is not representative of the population the researcher wants to generalize to, then increasing the sample size will not improve external validity. In fact, it might even harm it by over-representing certain groups or characteristics.

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