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Isolation, cohesion and contingent network effects: the case of school attachment and engagement Cover

Isolation, cohesion and contingent network effects: the case of school attachment and engagement

Open Access
|Oct 2022

Figures & Tables

Figure 1:

Example school networks with high and low cohesion.
Example school networks with high and low cohesion.

Figure 2:

Predicted school attachment; Isolation by school cohesion interaction.
Predicted school attachment; Isolation by school cohesion interaction.

Figure 3:

Predicted disengagement; Isolation by school cohesion interaction.
Predicted disengagement; Isolation by school cohesion interaction.

Descriptive statistics_

Mean/pStd. Dev.Range
School attachment3.5560.9771–5
Disengagement1.5791.1210–4
Isolate0.0370.001
School cohesion0.8950.0760.567–1
Race/ethnicity
 White0.5640.002
 Black0.1470.001
 Asian0.0470.001
 Hispanic0.1460.001
 Other0.0950.001
 Female0.5130.002
 Grade9.6701.5976–13
 Log School Size6.9610.6663.258–8.112
School type
 Public0.9330.001
 Catholic0.0430.001
 Private0.0240.001
 N61,411

Multilevel regression models predicting school attachment and disengagement from school cohesion and individual isolation_

Model 1a School Attachment; No interaction Model 1b School Attachment; interaction Model 2a Disengagement; no interaction Model 2b Disengagement; interaction
Coefficient z-statisticCoefficient z-statisticCoefficient z-statisticCoefficient z-statistic
Isolate-0.478*** (-19.55)0.154(0.80)0.029(1.12)-0.231(-0.97)
School Cohesion0.327(1.87)0.350*(2.00)-0.602*** (-6.91)-0.575*** (-4.02)
Isolate X School Cohesion -0.740** (-3.25) -0.231(-0.97)
Race/ethnicity
 Black-0.194*** (-14.12)-0.194*** (-14.10)0.180*** (13.24)0.181*** (11.53)
 Asian-0.060** (-2.92)-0.059** (-2.90)0.148*** (5.46)0.148*** (6.27)
 Hispanic-0.120*** (-8.91)-0.119*** (-8.87)0.203*** (11.46)0.203*** (13.08)
 Other-0.221*** (-15.93)-0.220*** (-15.92)0.165*** (11.31)0.166*** (10.29)
Female-0.078*** (-10.01)-0.078*** (-10.03)-0.169*** (-17.70)-0.169*** (-18.65)
Grade-0.082*** (-24.16)-0.082*** (-24.14)-0.034*** (-9.01)-0.0346*** (-9.10)
School Size (log)0.006(0.32)0.006(0.34)-0.033** (-2.73)-0.0323* (-2.05)
School type
 Catholic0.061(0.92)0.0581(0.87)-0.165*** (-6.12)-0.165** (-3.07)
 Private0.216** (2.98)0.218** (3.02)-0.173*** (-4.46)-0.170** (-2.79)
Intercept4.132*** (18.54)4.107*** (18.40)2.704*** (21.18)2.672*** (14.52)
Slope Variance0.009*** 0.004*** (-3.57)0.0001*** (-32.99)0.00008(-1.23)
Intercept Variance0.017*** 0.018*** (-25.43)0.010*** (-35.10).010*** (-23.60)
Cov(Slope, Intercept)0.001 -0.001(-0.20)-0.001*** (-39.08)-0.001(-0.26)
Residual Variance0.905*** 0.905*** (-17.55)1.226*** (50.35)1.226*** (35.69)
N 61411614116141161411
AIC 168415.9168408.3186999.9187001.0
BIC 168560.3168561.7187144.3187154.4

Predicted values for different combinations of isolation and cohesion_

Low cohesionHigh cohesion
School attachmentDisengagementSchool attachmentDisengagement
Not an Isolate3.4651.7493.5871.547
Isolate3.1751.8323.0381.551
DOI: https://doi.org/10.2478/connections-2019.025 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 31 - 45
Published on: Oct 28, 2022
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 G. Robin Gauthier, Jeffrey A. Smith, Sela Harcey, Kelly Markowski, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.