Have a personal or library account? Click to login
Adolescents With Chronic Medical Conditions and High School Completion: The Importance of Perceived School Belonging Cover

Adolescents With Chronic Medical Conditions and High School Completion: The Importance of Perceived School Belonging

Open Access
|Apr 2020

Figures & Tables

Table 1

Participants and Information Included in Add Health Waves I, III, and IV.

StudentsParentsInformation Used in Current Study
WaveCore SampleOversamples
Wave I In-Home Interview 1994–95Random selection from stratum of US students in grades 7–12 (N = 12,105)Purposeful selection for oversamples plus saturation samples of 16 schools (N = 8,640)Parents of participating students (N = 17,670)* Demographic variables
* Health report
* Items for measurement of perceived belonging
* Grades
* Report of symptoms
Total in-home interview sample of grade 7–12 students at Wave I (N = 20,745)
Wave III In-Home Interview 2001–02All Wave I respondents (now aged 18–26 years) who could be located and re-interviewed (N = 15,197)* Information about on-time high school completion
Wave IV In-Home Interview 2007–08All Wave I respondents (now aged 24–32 years) who could be located and re-interviewed (N = 15,701)* Information related to diagnosis of chronic medical conditions in childhood
* Student level weights
Table 2

Characteristics of Participants in the Study.

VariableRangeWAVE I Full Data Set (N = 20,180)SubsamplesWave IV Full Data Set (N = 10,813)
Design-Based M (se)Unweighted M (SD)Healthy (N = 897) M (SD)Chronic Ill (N = 629) M (SD)Design-Based M (se)
Age12–1915.85 (.12)16.11 (1.70)16.07 (1.73)16.0 (1.69)15.82 (.12)
Gender%female50.5%50.5%47%63%52%
Race%minority27.9%42.3%42%32%27%
Parent Educ1–52.67 (.05)2.68 (1.14)2.71 (1.14)2.59 (1.07)2.76 (.05)
Grade Avg1–42.85 (.02)2.75 (.77)2.79 (.77)2.72 (.76)2.90 (.02)
Belong Scale1–53.71(.02)3.68 (.75)3.74 (.71)3.59 (.82)3.74 (.02)
Health Report1–54.01 (.01)3.97 (.76)4.06 (.73)3.74 (.82)4.03 (.02)
Symptoms Score0–310.78 (.01)0.76 (.45)7.70 (4.50)10.60 (5.78)0.77 (.01)
Complete HS%Yes92.7%92.3%94.4%90.1%93.7%

[i] Note: Gender: 0 = male, 1 = female; race: 0 = white, 1 = minority; HS completion: 0 = No, 1 = Yes.

Table 3

Final Regression Model for Perceived School Belonging Using Design-Based Wave I Data.

Stand. CoefficientLinearized sep
Age–.029.008<.001
Gender.001.020.947
Race–.026.025.307
Parent Education–.009.009.344
Grade Average.197.014<.001
Initial Model R2.067
Wave I Health Report.120.015<.001
Symptoms Mean Score–.377.027<.001
Model R2.072
Total Model R2.139

[i] Note: Gender coded male = 0, female = 1; race coded white = 0, minority =1; bold = variance explained by control variables, additional variance explained by health variables and total variance explained.

Table 4

Model Comparisons for Healthy and Chronically Ill Student Groups.

ModelX2dfpX2
difference**
df
difference
Significance
(difference)
RMSEACFISRMR
1. Same Form301.7198<.001.052.974.028
2. Same Loadings302.07106<.001.36(1v2)8ns.049.975.032
3. Same Loadings and Err Variances407.17133<.001105.10(2v3)27Sig..052.965.051
4. Same Loadings and Intercepts341.29119<.00139.22(2v4)13Sig..049.972.039

[i] Note: Target parameters for good model fit are RMSEA < .05, CFI > .95, and SRMR < .05; RMSEA = root mean square error of approximation, CFI = comparative fit index, SRMR = standardized root mean-squared residual. The goal for X2 is non-significance; however, large sample size may lead to a significant X2 result.

** Model elements are constrained to compare between the groups, 1 v. 2 = comparison between fully unconstrained model and model with constrained factor loadings, 2 v. 3 = comparison between constrained loadings only and constrained loadings plus error variances, 2. v. 4 = comparison between constrained loadings only and constrained loadings and intercepts.

Table 5

Group Goodness-of-Fit Parameters (SRMR) for Comparison Models.

Observations1. Same Form2. Same Loadings3. Same Loadings and Error Variances4. Same Loadings and Intercepts
Healthy924.024.027.046.034
Chronically Ill627.032.037.055.044

[i] Note: SRMR = standardized root mean-squared residual, target < .05.

Table 6

Design-Based Coefficients and Odds Ratios for Final Logistic Regression Model to Predict High School Completion by the Age of 19 Years (N = 10,253).

Variableb (log odds)
(Linearized se)
pOR
(Linearized se)
95% CI for OR
Age–.3252 (.034)<.001.7223 (.024).6759, .7719
Gender.3185 (.123).0111.3751 (.169)1.0786, 1.7530
Race–.4326 (.146).004.6488 (.095).4861, .8659
Parent Education.5008 (.071)<.0011.6500 (.117)1.4342, 1.8983
Grade Average.9250 (.076)<.0012.5219 (.192)2.1697, 2.9313
W1 Health Report.1703 (.078).0311.1857 (.093)1.0158, 1.3840
Diagnosis Status–.5055 (.751).502.6032 (.453)1.1365, 2.6651
School Belonging–.3373 (.130).010.7137 (.092).5523, .9222
Diag X Belonging.4882 (.158).0031.6293 (.258)1.1911, 2.2287

[i] Note: High school completion coded no = 0, yes = 1; Gender coded 0 = male, 1 = female; Race coded 0 = white, 1 = minority; diagnosis coded 0 = no, 1 = yes

DOI: https://doi.org/10.5334/cie.5 | Journal eISSN: 2631-9179
Language: English
Submitted on: Aug 21, 2019
|
Accepted on: Jan 6, 2020
|
Published on: Apr 27, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Kathryn M. Kirkpatrick, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.