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. 2015 Jul 31;86(5):1489–1506. doi: 10.1111/cdev.12396

Table 6.

Study 2 Multiple Regression Models Predicting Resource Allocation Across Networks

Independent variable Unstandardized regression coefficient p value
MG‐MRQAP model
R 2 adj = .43, < .001
Year 9 intercept 0.53 .006
Year 10 intercept (reference Year 9) −1.52 .126
Year 11A intercept (reference Year 9) −1.88 .480
Year 11B intercept (reference Year 9) 1.01 < .001
Relationship strength 9.45 < .001a
Relationship Strength × Year Group 3.88 < .001a
Reciprocation 0.62 .658
Reciprocation × Year Group 2.15 .010a
Duration 1 −1.32 .014
Empathic concern giving 0.22 .006a
Empathic Concern Giving × Year Group −0.13 .026

Multigroup multiple regression with quadratic assignment procedure (MG‐MRQAP) was implemented to predict modified Dictator Game point allocation based on individual difference and network variables and terms specifying their respective interactions with year group (Year 9, Year 10, and Year 11). Independent variables eliminated due to nonsignificance were Best Friends Giving × Group (= .04, = .552), best friends giving (= .00, = .505), Best Friends Receiving × Group (= .05, = .554), Duration 1 × Group (= −.26, = .396), Duration 2 Giving × Group (= .26, = .661), best friends receiving (= −.08, = .316), Duration 2 Receiving × Group (= −.61, = .112), Duration 2 receiving (= −.03, = .440), and Duration 2 giving (= −.46, = .071). Note that the nonsignificant variable reciprocation is retained to examine its interaction with year group.

aDenotes a one‐tailed p value; all other p values are two‐tailed.