Fig. 1
Model of relationships among co-regulatory network characteristics, WLC and SRL. The Structural Equation Model is informed by multiple regressions for the variables network size, network diversity, tie strength, workplace learning context scale (WLC), and self-regulated learning scale (SRL). We present the standardized coefficients. (* = p < 0.05, *** = p < 0.001)
Table 1
Structural equation model results (N = 403)
|
Overall (N = 403) |
IM (N = 75) |
SC (N = 70) |
NS (N = 81) |
MC (N = 56) |
FSM (N = 83) |
HELP (N = 38) | |
|---|---|---|---|---|---|---|---|
|
TS → SRL |
0.045* β = 0.095 |
0.009 β = 0.018 |
−0.053 β = −0.110 |
0.038 β = 0.080 |
0.162* β = 0.337 |
0.194*** β = 0.403 |
−0.009 β = −0.019 |
|
ND → TS |
−0.234*** β = −0.474 |
−0.060 β = −0.122 |
−0.471*** β = −0.954 |
−0.066 β = −0.133 |
−0.221 β = −0.448 |
−0.045 β = −0.092 |
−0.155 β = −0.314 |
|
NS → TS |
0.113*** β = 0.530 |
0.014 β = 0.066 |
0.196*** β = 0.923 |
0.065 β = 0.304 |
0.102 β = 0.479 |
0.042 β = 0.196 |
0.101* β = 0.476 |
|
WLC → SRL |
0.241*** β = 0.295 |
0.381*** β = 0.467 |
0.373*** β = 0.457 |
0.212* β = 0.260 |
0.192* β = 0.235 |
0.257* β = 0.315 |
0.314 β = 0.385 |
|
Size → WLC |
0.017** β = 0.134 |
0.030 β = 0.241 |
0.001 β = 0.010 |
0.005 β = 0.039 |
0.029 β = 0.232 |
−0.003 β = −0.028 |
0.014 β = 0.113 |
Structural equation model results across clerkships (overall) and within clerkships
Abbreviations/Explanations: IM Internal Medicine, SC Surgical Clerkship, NS Neurosciences, MC Mother and Child, FSM Family and Social Medicine, HELP Healthcare Participation Clerkship. We mention unstandardized estimates and standardized estimates (β) for relationships within the structural equation model (ND network diversity, NS Network Size, TS Tie Strength, SRL Self-Regulated Learning Scale, WLC Workplace Learning Scale)
*p < 0.05, **p < 0.01, ***p < 0.001