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Original Article

Construction of the Structural Equation Model on Binge Drinking among Korean Undergraduate Students

Ji Yeong Seo
Korean Journal of Adult Nursing 2014;26(1):78-88.
Published online: February 28, 2014

College of Nursing, Catholic University of Pusan, Busan, Korea.

Corresponding author: Seo, Ji Yeong. Department of Nursing, College of Nursing, Catholic University of Pusan, 57 Oryundae-ro, Geumjeong-gu, Busan 609-757, Korea. Tel: +82-51-510-0770, Fax: +82-51-510-0747, marse@cup.ac.kr
• Received: July 29, 2013   • Revised: November 26, 2013   • Accepted: February 18, 2014

© 2014 Korean Society of Adult Nursing

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  • Purpose
    The purpose of this study was to construct a structural equation model (SEM) that would describe the binge drinking among Korean undergraduate students.
  • Methods
    Model construction was based on the theory of planned behavior and prototype/willingness model, using the variables; intention, attitude, descriptive norm, and prototype perception of binge drinking, alcohol use disorders identification test (AUDIT), and binge drinking behavior. The analysis of data was done with both SPSS 20.0 for descriptive statistics and AMOS 20.0 for SEM.
  • Results
    The binge drinking intention was found to have a significantly direct effect in influencing binge drinking behavior. In addition, attitude, descriptive norm, and prototype perception of binge drinking were found to have a significantly direct effect in influencing binge drinking intention. The final modified model yielded χ2=374.2 (p<.001), df=174, χ2/df=2.15, GFI=.87, AGFI=.82, NFI=.89, PNFI=.73 RMSEA=.07, and CFI=.94.
  • Conclusion
    This study constructed a model that addressed the factors related to binge drinking and described the relationship of these factors in influencing binge drinking among Korean undergraduate students. Findings from this study can contribute to designing appropriate prevention strategies to reduce problem related binge drinking in undergraduate students.
  • Key Words: Binge drinking; Intention; Behavior

This work was supported by the Catholic University of Pusan Research Grant of 2012.

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Figure 1
Hypothetical model with parameter estimates for binge drinking.
kjan-26-78-g001.jpg
Figure 2
Path diagram of the modified model.
kjan-26-78-g002.jpg
Table 1
Descriptive Statistics and Coefficient Correlations of Variables (N=223)
kjan-26-78-i001.jpg

AUDIt=alcohol use disorders identification test; DN=descriptive norm; Pp=prototype perceptions; BD=binge-drinking.

*Correlation is significant at the .05 level (2~tailed); **Correlation is significant at the .01 level (2~tailed).

Table 2
Comparison of Fitness of Statistics for the Modified Model (N=223)
kjan-26-78-i002.jpg

AUDIT=alcohol use disorders identification test; χ2=chi square; dF=degree of freedom; GFI=goodness fit index; AGFI=adjusted goodness of fit index; RMSEA=root-mean square error of approximation; CFI=comparative fit index; NFI=normed fit index; NNFI=nonnormed fit index; SRMR=standardized root mean square residual; PNFI=parsimonious normed of fit index.

Table 3
Parameter Estimates for Modified Model and Standardized Direct, Indirect, and Total Effects (N=223)
kjan-26-78-i003.jpg

AUDIT=alcohol use disorders identification test; SMC=squared multiple correlation; DN=descriptive norm; PP=prototype perceptions; γ11=attitude→binge-drinking intetntion; γ13=attitude→binge-drinking intetntion→binge-drinking; γ21=descriptive norm→binge-drinking intetntion; γ22=descriptive norm→binge-drinking; γ31=prototype perceptions→binge-drinking intetntion; γ32=prototype perceptions→binge-drinking; β12=binge-drinking intetntion→binge-drinking.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Age at onset of alcohol consumption and its association with alcohol misuse in adulthood
      Soo Y. Kim, Sung H. Jeong, Eun‐Cheol Park
      Neuropsychopharmacology Reports.2023; 43(1): 40.     CrossRef
    • Risk Factors of Binge Drinking in Adults Across Gender and Age Groups
      So Young Lee, Jeehae Chung
      Journal of Addictions Nursing.2020; 31(4): E27.     CrossRef

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    Construction of the Structural Equation Model on Binge Drinking among Korean Undergraduate Students
    Korean J Adult Nurs. 2014;26(1):78-88.   Published online February 28, 2014
    DOI: https://doi.org/10.7475/kjan.2014.26.1.78
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    Construction of the Structural Equation Model on Binge Drinking among Korean Undergraduate Students
    Korean J Adult Nurs. 2014;26(1):78-88.   Published online February 28, 2014
    DOI: https://doi.org/10.7475/kjan.2014.26.1.78
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    Construction of the Structural Equation Model on Binge Drinking among Korean Undergraduate Students
    Image Image
    Figure 1 Hypothetical model with parameter estimates for binge drinking.
    Figure 2 Path diagram of the modified model.

    Figure 1

    Figure 2

    Construction of the Structural Equation Model on Binge Drinking among Korean Undergraduate Students

    Descriptive Statistics and Coefficient Correlations of Variables (N=223)

    AUDIt=alcohol use disorders identification test; DN=descriptive norm; Pp=prototype perceptions; BD=binge-drinking.

    *Correlation is significant at the .05 level (2~tailed); **Correlation is significant at the .01 level (2~tailed).

    Comparison of Fitness of Statistics for the Modified Model (N=223)

    AUDIT=alcohol use disorders identification test; χ2=chi square; dF=degree of freedom; GFI=goodness fit index; AGFI=adjusted goodness of fit index; RMSEA=root-mean square error of approximation; CFI=comparative fit index; NFI=normed fit index; NNFI=nonnormed fit index; SRMR=standardized root mean square residual; PNFI=parsimonious normed of fit index.

    Parameter Estimates for Modified Model and Standardized Direct, Indirect, and Total Effects (N=223)

    AUDIT=alcohol use disorders identification test; SMC=squared multiple correlation; DN=descriptive norm; PP=prototype perceptions; γ11=attitude→binge-drinking intetntion; γ13=attitude→binge-drinking intetntion→binge-drinking; γ21=descriptive norm→binge-drinking intetntion; γ22=descriptive norm→binge-drinking; γ31=prototype perceptions→binge-drinking intetntion; γ32=prototype perceptions→binge-drinking; β12=binge-drinking intetntion→binge-drinking.
    Table 1 Descriptive Statistics and Coefficient Correlations of Variables (N=223)

    AUDIt=alcohol use disorders identification test; DN=descriptive norm; Pp=prototype perceptions; BD=binge-drinking.

    *Correlation is significant at the .05 level (2~tailed); **Correlation is significant at the .01 level (2~tailed).

    Table 2 Comparison of Fitness of Statistics for the Modified Model (N=223)

    AUDIT=alcohol use disorders identification test; χ2=chi square; dF=degree of freedom; GFI=goodness fit index; AGFI=adjusted goodness of fit index; RMSEA=root-mean square error of approximation; CFI=comparative fit index; NFI=normed fit index; NNFI=nonnormed fit index; SRMR=standardized root mean square residual; PNFI=parsimonious normed of fit index.

    Table 3 Parameter Estimates for Modified Model and Standardized Direct, Indirect, and Total Effects (N=223)

    AUDIT=alcohol use disorders identification test; SMC=squared multiple correlation; DN=descriptive norm; PP=prototype perceptions; γ11=attitude→binge-drinking intetntion; γ13=attitude→binge-drinking intetntion→binge-drinking; γ21=descriptive norm→binge-drinking intetntion; γ22=descriptive norm→binge-drinking; γ31=prototype perceptions→binge-drinking intetntion; γ32=prototype perceptions→binge-drinking; β12=binge-drinking intetntion→binge-drinking.

    Table 1

    Table 2

    Table 3

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