GENERATIVE CHARACTERISTICS AS ANTECEDENTS OF ...

Constructs/Items
TABLE 5:
Factor Loadings and Measurement Properties Derived from
CMV-Constrained CFA Model
Average Maximum Average
Loading Variance Variance Shared
(Standardized) P-Value Reliability Extracted Shared Variance
Commuticative Adaptability 0.744 0.427 0.308 0.109
C2 0.627 < 0.001
C3 0.557 < 0.001
C4 0.409 < 0.001
C5 0.459 < 0.001
Gratitude 0.650 0.321 0.309 0.118
G1 0.593 < 0.001
G2 0.399 < 0.001
G4 0.412 < 0.001
G6 0.401 < 0.001
Leadership Trust 0.885 0.606 0.276 0.130
L1 0.766 < 0.001
L2 0.702 < 0.001
L3 0.613 < 0.001
L4 0.67 < 0.001
L5 0.73 < 0.001
Peer Trust
0.710 0.387 0.216 0.088
P1 0.54 < 0.001
P2 0.517 < 0.001
P3 0.671 < 0.001
P4 0.401 < 0.001
Shared Values 0.878 0.517 0.276 0.087
Val1 0.616 < 0.001
Val3 0.698 < 0.001
Vis1 0.376 < 0.001
Vis3 0.518 < 0.001
Vis5 0.715 < 0.001
Vis6 0.677 < 0.001
Vis7 0.535 < 0.001
Engaged Performance 0.572 0.322 0.308 0.101
E2 0.298 < 0.001
E3 0.505 < 0.001
E4 0.58 < 0.001
Engaged Development 0.711 0.452 0.309 0.167
E5 0.648 < 0.001
E7 0.618 < 0.001
E12 0.564 < 0.001
Goodness of Fit Statistics
Chi-Sq. (df) 726.0 (398)
NFI .857
IFI .927
TLI .916
CFI .926
RMSEA .060
90% CI .053 - .066
SRMR .086
The bias-corrected model produced construct reliability, AVE, MVS, and ASV results which
were consistently lower than those produced by the unconstrained model. Composite scale
reliability for five of the constructs range from .710 to .875, exceeding the recommended
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