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232 Fig. 11.1 Plot of the relationship between trust brokerage and number of leadership nominations received for high and low self-monitors (Design by authors) Table 11.3 Negative binomial regression estimates from analysis predicting advice centrality Independent variables Model 1 Model 2 Rank .68 (0.17)*** 0.70 (0.16)*** Tenure 0.01 (0.00)* 0.01 (0.00)* Job performance 0.04 (0.03) 0.03 (0.03) Self-monitoring 0.04 (0.02)* Trust brokerage Self-monitoring x trust brokerage Pearson chi square 86.75 86.87 Log likelihood 2870.65 2873.25 Likelihood ratio 4.80* Note The intercept and dispersion parameters were included in the regression models, but they are not reported here. Numbers in table are parameter estimates (standard errors are in parentheses). The Likelihood Ratio (LR) test is a statistical test of the relative goodness-of-fit across two models. To calculate the LR statistic for model 2 we used Model 1 as the baseline model *p < .05; **p < .01; ***p < .001 M. Kilduff et al.
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Knowledge and Networks
Titel
Knowledge and Networks
Autoren
Johannes Glückler
Emmanuel Lazega
Ingmar Hammer
Verlag
Springer Open
Ort
Cham
Datum
2017
Sprache
deutsch
Lizenz
CC BY 4.0
ISBN
978-3-319-45023-0
Abmessungen
15.5 x 24.1 cm
Seiten
390
Schlagwörter
Human Geography, Innovation/Technology Management, Economic Geography, Knowledge, Discourse
Kategorie
Technik
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Austria-Forum
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Knowledge and Networks