Table 4 Three-level (model 1) and four-level (model 2) linear mixed models predicting earnings.

n = 11,540 network-participant-rounds (model 1) and 36,072 network-participant-round-alters (model 2). aP < 0.001. Coefficients for sequence in which phases were completed are omitted for brevity.

Model 1: Total
earnings across all
alters
Model 2: Earnings
by alter
Mixed network*19.09a
(1.65)
Dynamic network*21.88a
(1.69)
6.16a
(0.48)
Mixed network,
dynamic tie*
6.70a
(0.55)
Mixed network, static
tie*
3.75a
(0.55)
Reputation
information
6.95
(4.51)
2.16
(1.18)
Round1.26a
(0.19)
0.30a
(0.06)
Number of ties41.51a
(0.45)
−0.09
(0.12)
Network size−0.15
(0.68)
0.04
(0.18)
Second phase†23.43a
(1.68)
5.22a
(0.47)
Third phase†28.85a
(1.67)
6.73a
(0.47)
Alter cooperated,
previous round
9.40a
(0.52)
Constant−49.56a
(14.89)
20.37a
(3.89)
Variance components
  Round18.14
(4.26)
  Participant75.78
(8.71)
2.42
(1.56)
  Network70.39
(8.39)
4.68
(2.16)

*Static networks are the reference category.

†First phase is the reference category.