(2 pts) List and explain 2 reasons why causality cannot be inferred from correlation. Correlation does not imply causality. Correlation can only show the relationship between two variables. Issues that show correlation does not show causality is the third variable problem which means some other variable (one that was not measured) is responsible for the observed relationship. Additionally, there is no way to determine directionality. Which correlation coefficient would you use to look at the correlation between gender and time spent on the phone talking to your mother? (1 pt) The point-biserial correlation coefficient, rpb The biserial correlation coefficient, rb Pearson’s correlation coefficient, r Kendall’s correlation coefficient, τ How do you determine if your data is curvilinear? If your data is curvilinear, can you (3 pts) use a Pearson’s r correlation? Why or why not? When using Pearson's r it is important to remember it is based on the assumption of linear relationship rather than curvilinear, therefore, pearson's r would not be a proper correlation to use when dealing with curvilinear data. To determine if your data is curvilinear, using graphs is one approach to visually determine if your data is curvilinear. do the results in the table below show? (1 pt) Work productivity Time spent on Facebook Work productivity 1.000 Pearson’s –.94 correlation Sig. (2-tail) . .000 100 100 N Time spent on Pearson’s 1.000 –.94 Facebook correlation Sig. (2-tail) .000 . 100 100 N In a sample of 100 people, there was a strong negative but non-significant relationship between work productivity and time spent on Facebook, = –.94, r p > .001.
List and explain 2 reasons why causality cannot be inferred from correlation. (2 pts) Correlation does not imply causality. Correlation can only show the relationship between two variables. Issues that show correlation does not show causality is the third variable problem which means some other variable (one that was not measured) is responsible for the observed relationship. Additionally, there is no way to determine directionality. Which correlation coefficient would you use to look at the correlation between gender and time spent on the phone talking to your mother? (1 pt) The point-biserial correlation coefficient, rpb The biserial correlation coefficient, rb Pearson’s correlation coefficient, r Kendall’s correlation coefficient, τ How do you determine if your data is curvilinear? If your data is curvilinear, can you use a Pearson’s r correlation? Why or why not? (3 pts) When using Pearson's r it is important to remember it is based on the assumption of linear relationship rather than curvilinear, therefore, pearson's r would not be a proper correlation to use when dealing with curvilinear data. To determine if your data is curvilinear, using graphs is one approach to visually determine if your data is curvilinear. do the results in the table below show? (1 pt) Work productivity Time spent on Facebook Work productivity Pearson’s correlation 1.000 –.94 Sig. (2-tail) . .000 N 100 100 Time spent on Facebook Pearson’s correlation –.94 1.000 Sig. (2-tail) .000 . N 100 100 In a sample of 100 people, there was a strong negative but non-significant relationship between work productivity and time spent on Facebook, r = –.94, p > .001.
psyc+8000+b+exam+1%5B1%5D.docx