The Family Stress Model: A Comparison between Rural and Urban Korean Families November 15 2017 Chanran Seo*, Ph.D. (Daegu National University of Education,

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Presentation transcript:

The Family Stress Model: A Comparison between Rural and Urban Korean Families November 15 2017 Chanran Seo*, Ph.D. (Daegu National University of Education, S. Korea) Hyo-Youn Shin, Ph.D. (Chonnam National University, S. Korea)

Motivation for Research Low Family Income Husband’s Depression Unstable Work Economic Pressure Marital Conflict Debt-to-Asset Ratio Wife’s Depression Income Loss Previous Research Korean Research - Conger et al., 1992 - Conger, Rueter, & Elder, 1999 - Solantaus & Leinonen, 2004 - Mistry et al., 2008 - Aytac & Rankin, 2009 - Falconier, 2010 - Landers-Potts et al., 2015 . 1) Kwon, Rueter, Lee, Koh, & Ok, 2003 2) Kwon, 2009 3) Kim & Kim, 2011 Family Stress Model (Conger & Elder, 1994)

IMAGES Overarching Question Does the stress process in the family stress model vary across rural and urban Korean families?

Distinctive Characteristics in Rural Areas of Korea 1 The rate of the population over the age of 65: 38.5% in 2015 The average income in agriculture and fishery : 57% of that of city workers in 2012 2 Mental Health: Elderly people at greater risk of depression than counterparts (Kang & Park, 2012) 3 4 Less satisfied with family relations than counterparts (Lee, 2002) More conservative attitude toward divorce (Han & Lee, 2002) & Held the idea of predominance of men over women (Ok, Kim, Park, Shin, Han, & Koh, 2000) 5

Method Method Data & Analytic Sample Analysis Data from the Korean Welfare Panel Study (KWPS) Using the 10th Wave collected in 2015 2,776 families: 325 rural families & 2,451 urban families So, now I would talk about method. To test the models and hypotheses, I used data from the Korean Labor and Income Panel Study (KLIPS). Specifically I used the 15th wave collected in 2012. I handled the missing data and outliers and finally I got 2, 137 household samples. I used these sample in all analyses. Analysis Multi-group analysis, using AMOS 21.0 software

Method Results & Conclusion HD FEH1 FEH2 FES FEH3 WD .12 .32 ** HD -.13 .11 ** FEH1 HES .34** .15* WES HMC WMC HMS WMS .00 .01 .94 .87 .88 .94 .86 .86 .91 .76.77 .91 .15** .05* -.05 .08 ** -.51** -.56** e11 FEH2 FES .63 .51 MC MS .32 .20 .09 .06 e12 .14† .33 ** .33** .22** .00 .27*** FEH3 e10 WD e13 e14 So, now I would talk about method. To test the models and hypotheses, I used data from the Korean Labor and Income Panel Study (KLIPS). Specifically I used the 15th wave collected in 2012. I handled the missing data and outliers and finally I got 2, 137 household samples. I used these sample in all analyses. WD Note. Results for rural families are in bold FEH1 = family per capita income; FEH2 = debts to assets ratio; FEH3 = optimal annual spending costs to actual annual spending costs ratio; FES = Family Economic Strain; HD = Husbands’ Depression; WD = Wives’ Depression; MC = Marital Conflict; MS = Marital Satisfaction

Discussion Question Question 1. Considering the results regarding gender, is “One” model including both of husbands’ and wives’ depression, and latent variables measured by couple indicators appropriate for this study?