The question seems to be incomplete. However, I can provide some information based on the parts of the question that are available.

a. Representativeness is important: Yes, this is true. In order to generalize the results of a study to a larger population, the sample used in the study must be representative of the population.

b. Raw scores are most meaningful: This can be true or false depending on the context. Raw scores are the unadjusted scores and can be meaningful in some cases. However, in many cases, it is more useful to convert raw scores into a form that is easier to interpret, such as percentiles or standard scores.

c. Groups differing in age should always be used: This is not necessarily true. The use of different age groups depends on the purpose of the study. If the study is about a phenomenon that is expected to vary with age, then different age groups should be used. However, if age is not a relevant factor, then there is no need to use different age groups.

d. Larger is always better: This is not always true. A larger sample size can provide more accurate results, but it also requires more resources to collect and analyze the data. Therefore, the ideal sample size depends on a balance between accuracy and resources.

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The question seems to be incomplete. However, I can provide some information based on the parts of the question that are available.

a. Representativeness is important: Yes, this is true. In order to generalize the results of a study to a larger population, the sample used in the study must be representative of the population.

b. Raw scores are most meaningful: This can be true or false depending on the context. Raw scores are the unadjusted scores and can be meaningful in some cases. However, in many cases, it is more useful to convert raw scores into a form that is easier to interpret, such as percentiles or standard scores.

c. Groups differing in age should always be used: This is not necessarily true. The use of different age groups depends on the purpose of the study. If the study is about a phenomenon that is expected to vary with age, then different age groups should be used. However, if age is not a relevant factor, then there is no need to use different age groups.

d. Larger is always better: This is not always true. A larger sample size can provide more accurate results, but it also requires more resources to collect and analyze the data. Therefore, the ideal sample size depends on a balance between accuracy and resources.

Knowee AI · Accepted Answer

The question seems to be incomplete. However, I can provide some information based on the parts of the question that are available.

a. Representativeness is important: Yes, this is true. In order to generalize the results of a study to a larger population, the sample used in the study must be representative of the population.

b. Raw scores are most meaningful: This can be true or false depending on the context. Raw scores are the unadjusted scores and can be meaningful in some cases. However, in many cases, it is more useful to convert raw scores into a form that is easier to interpret, such as percentiles or standard scores.

c. Groups differing in age should always be used: This is not necessarily true. The use of different age groups depends on the purpose of the study. If the study is about a phenomenon that is expected to vary with age, then different age groups should be used. However, if age is not a relevant factor, then there is no need to use different age groups.

d. Larger is always better: This is not always true. A larger sample size can provide more accurate results, but it also requires more resources to collect and analyze the data. Therefore, the ideal sample size depends on a balance between accuracy and resources.

n regards to sample size of test norms:a.representativeness is importantb.raw scores are most meaningfulc.groups differing in age should always be usedd.larger is always bette

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