question archive Correlational research allows the researcher to answer questions such as: what is the relationship between Variable A and Variable B? does change in Variable A cause change in Variable B? is there a significant difference between scores on Variable A and scores on Variable B? does change in Variable B causes change in Variable A?
Correlational research allows the researcher to answer questions such as: what is the relationship between Variable A and Variable B? does change in Variable A cause change in Variable B? is there a significant difference between scores on Variable A and scores on Variable B? does change in Variable B causes change in Variable A?
Subject:StatisticsPrice:2.87 Bought7
Correlational research allows the researcher to answer questions such as:
what is the relationship between Variable A and Variable B?
does change in Variable A cause change in Variable B?
is there a significant difference between scores on Variable A and scores on Variable B?
does change in Variable B causes change in Variable A?
Purchase A New Answer
Custom new solution created by our subject matter experts
GET A QUOTE
Answer Preview
Answer:
Correlation is the measure of linear relationship. It doesn't indicate that change in one variable causes the change in other. So option 2 and 4 gets eliminated. To test the significance of difference between scores, we use two sample z or t tests.
Hence,
Option 1) is correct. Correlation research allos the researchers to answer questions such as what is the relationship between variable A and variable B.
