Quadratic Assignment Proccedure

Which type of regression analysis would you use to predict ties in a weighted network?

• linear regression

• logistic regression

• linear QAP regression

• logistic QAP requression

Why do we need a large sample of permuted networks to compare our observed network to?

• to get a lower p-value

• to adequately represent the random null-distribution

• to get higher regression coefficients

• to compute the Standard Error of the regression coefficients

how do the p-values change if we use more reference samples in a QAP?

• they get lower

• they get higher

• they get more accurate

• they converge to 0

In the advice network of lawyers, we found a "same school" coefficient of 0.29 with p = .060. How can this result be interpreted?

• Those who went to the same school are significantly more likely to ask each other for advice

• 29% of the lawyers went to the same school

• lawyers have a 6% probability of having an advice tie if they went to the same school

In the advice network of lawyers, we found a "seniority sender" coefficient of -0.045 with p = .009. How can this result be interpreted?

• Lawyers higher in seniority are significantly less likely to ask others for advice than lawyers with lower seniority

• 4.5% of the lawyers have a high level of seniority

• Lawyers higher in seniority are significantly less likely to be asked for advice than lawyers with lower seniority