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The Relationship Between School Connectedness and Mental Health During the Transition to Secondary School: A Path Analysis

Published online by Cambridge University Press:  09 October 2013

Leanne Lester*
Affiliation:
Child Health Promotion Research Centre, Edith Cowan University, Perth, Western Australia, Australia
Stacey Waters
Affiliation:
Child Health Promotion Research Centre, Edith Cowan University, Perth, Western Australia, Australia
Donna Cross
Affiliation:
Child Health Promotion Research Centre, Edith Cowan University, Perth, Western Australia, Australia
*
address for correspondence: Leanne Lester, Child Health Promotion Research Centre, Edith Cowan University, 2 Bradford Street, Mt Lawley WA 6050, Australia. Email: l.lester@ecu.edu.au

Abstract

During the transition from primary to secondary school, students typically experience a new social environment, moving from primary school with small intact classes throughout the day with one main teacher, to a larger secondary school with teachers, classrooms and often classmates changing throughout the day. During this time, students report a reduced sense of connectedness, which has been associated with symptoms of depression and anxiety. This study investigated the temporal association between feeling connected to school and mental health prior to and over the transition period. Data were obtained from 3,459 students in a longitudinal study of adolescents’ knowledge, attitudes and experiences of bullying victimisation and perpetration during the transition from primary school to secondary school. Students completed a questionnaire at four time points from Grade 7 to the end of Grade 9. Path analysis was used to model relationships between school connectedness, depression and anxiety. The findings suggest reciprocal relationships between connectedness and mental health where increased connectedness to school is associated with decreased depression and anxiety; conversely, increased depression and anxiety is associated with decreased connectedness to school. The significant reciprocal associations found in the cross-lag models in the first two years of secondary school indicate the need to intervene during the transition period to improve students’ social and mental health outcomes.

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Articles
Copyright
Copyright © The Author(s), published by Cambridge University Press on behalf of Australian Academic Press Pty Ltd 2013 
Figure 0

FIGURE 1 Consort diagram.

Figure 1

TABLE 1 Prevalence and Descriptive Statistics of Victimisation, Depression and Anxiety at Four Time Points

Figure 2

FIGURE 2 Cross-lagged models for connectedness and depression for males and females. Note: Straight single arrows represent causal paths modelled. The corresponding numbers are standardised regression coefficients. Broken lines are used for paths with a corresponding p ≥ .05. The curved line between variables represents a correlation; the number is the corresponding correlation coefficient. Small circles represent residual paths; the number is the corresponding correlation coefficient. Y-B χ2 is the Yuan-Bentler-scaled chi-square which adjusts for non-normal data. CFI = Comparative Fit Index, values > 0.90 indicates good model fit. RMSEA = Root Mean Square Error of Approximation, values <0.08 indicating acceptable, and <0.05 good fit of the residuals.

Figure 3

FIGURE 3 Cross-lagged model for connectedness and anxiety. Note: Straight single arrows represent causal paths modelled. The corresponding numbers are standardised regression coefficients. Broken lines are used for paths with a corresponding p ≥ .05. The curved line between variables represents a correlation; the number is the corresponding correlation coefficient. Small circles represent residual paths; the number is the corresponding correlation coefficient. Y-B χ2 is the Yuan-Bentler-scaled chi-square which adjusts for non-normal data. CFI = Comparative Fit Index, values >0.90 indicates good model fit. RMSEA = Root Mean Square Error of Approximation, values <0.08 indicating acceptable, and <0.05 good fit of the residuals.