Ch 9 Lecture

Question 1

Autocorrelations

Answer 1

Between variable & itself on different times of measurement

Question 2

Cross-sectional correlations

Answer 2

Between different variables on same times of measurement; helps establish covariance

Question 3

Cross-lag correlations

Answer 3

Between one variables on one day and another variable on another day; helps establish covariance and temporal precedence

Question 4

How to interpret cross-lag correlations

Answer 4

• If most cross lag correlations are statistically significant, even if there is 1 that is not, there is no temporal precedence
• If one direction is statistically significant and the other is not, there is temporal precedence

Question 5

Correlation coefficient (r)

Answer 5

• Indicates direction and strength
• Does not indicate statistical significance unless there is a p-value
• CAN use guidelines (Cohen’s) to indicate EFFECT SIZE

Question 6

Beta (ß)

Answer 6

• Indicates direction and strength
• Does not indicate statistical significance unless there is a p-value or *
• CANNOT use guidelines to indicate effect size, as ß comes from multiple regression tables, where multiple variables are taken into account
• Adding variables or taking them away would change ß
• You can however say if one is larger or smaller than the other

Question 7

When interpreting Multiple Regression Table

Answer 7

Always mention the other independent variables controlled for, as it is multivariate and not bivariate