thesis_Daniela Noethen_print final - Jacobs University

Intergenerational Knowledge Transfer in Work Teams: A Multilevel Social Network Perspective
Table 4
Descriptive Statistics and Zero-Order Correlations for Dyad Level and Individual Level Variables at the Respective Level
M SD N 1 2 3 4 5 6 7 8 9 10
Individual Level
1. Knowledge
transfer
2.84 1.12 1940 0.64
2. Knowledge
reception
2.84 1.12 1940 0.82*** 0.64
3. Age difference 0.00 12.92 1940 0.05* -0.05* -
4. Team tenure
difference
0.00 8.50 1940 0.07** -0.07** 0.47*** -
Team Level
5. Supervisor a 1.15 0.35 331 0.30*** 0.28*** 0.14* 0.05 -
6. Full-time b 2.75 0.49 331 0.17** 0.14* -0.02 0.02 0.19** -
7. percent exchange
within team
8. Number of teams
working in
62.14 25.83 331 0.01 0.06 -0.05 0.06 -0.03 -0.21*** -
1.43 0.63 331 0.18** 0.17** 0.07 -0.03 0.44*** 0.21*** -0.30*** -
9. Age 48.32 9.40 331 0.13* 0.01 0.87*** 0.39*** 0.12* -0.04 -0.03 0.10 † -
10. Team tenure 7.03 6.45 331 0.13* -0.03 0.34*** 0.80*** 0.02 0.03 0.16** -0.15** 0.39*** -
Notes. Upper rows represent statistics for the dyadic level. Cronbach’s alphas in the diagonal. For correlations with individual level variables, dyad level variables
were aggregated to the individual level, e.g., mean age difference within dyads for one individual.
a Supervisor coded as 1 = employee, 2 = supervisor. b Full-time coded as 1 = part-time contract less than 20hrs/week, 2 = part time employment, 20hrs/week, 3 =
full-time employment.
† p < .10. *p < .05. **p < .01. ***p < .001.
109