:.. 18 35 151,,,,. AMOS..,.,.,.. * (2016). (Corresponding Author): / / 1095 212 / Tel: 053-580-5402 / E-mail: ejsohn@kmu.ac.kr
. -., (Herman, 1992; Kemp & Kemp, 1978; McGee, Wolfe, & Wilson, 1997).,,, (Cicchetti & Barnett, 1992; Ehrensaft et al., 2015; Glaser, 2002; Kempe & Helfer, 1974; Kinard, 1979; Stern, 1988),, (Szur, 1988),,, (Steele & Pollock, 1974).,,,,, (Tyrka et al., 2009).. 2014 15,458 (, 2014), 81.7% (, 2015). 40%(, 2014), (Spertus et al., 2003; Tyrka et al., 2009). (,, 2015; Davis, Petretic-Jackson, & Ting, 2001). (1988), (1999). (2004). (Davis et al., 2001). (Erikson, 1959), (Furman & Shaffer, 2003). (,, 2000), (Berscheid, 1999; Donnellan, Larsen-Rife, & Conger, 2005 )..
(Colman & Widom, 2004). (Lassri & Shahar, 2012; Lassri et al., 2016).?. Morris (2007),, Shipman (2005)., (Krause, Mendelson, & Lynch, 2003).,.,..,. (,, 1997). (Berzenski & Yates, 2010), (,, 2013; Bradbury & Shaffer, 2012). (Rellini et al., 2012)., (Westen, 1994),, (Gross, 1998)., (,, 2010). (Krause et al., 2003).,,, (Waller, Corstorphine, & Mountford, 2007). Kim Cicchetti(2010),,.
. (, 2007;, 2002). (Maneta et al., 2015). (Fitness, 2001), (Rellini, Vujanovic, & Zvolensky, 2010), (Bloch, Haase, & Levenson, 2014; Rusbult, Bissonnette, & Arriaga, 1998)..,,.,.,,.,,, (, 2006).,,,,,,. (dyadic analysis) (Cook & Kenny, 2005)., (, 2006)., 1 (Kenny, 1996). (Kenny, 1995). Kenny(1996) APIM(actor-partner interdependent model) 1. APIM (nested), (Cook & Kenny, 2005). APIM
.., 1 2..,?,?,? Erikson(1959) 18 40, 151. 18.. (snowball sampling)..,,,. 211,, 151. 24(: M=25.02, SD=2.93, =19~35 / : M=23.17, SD=2.25, =19~29), 26(SD= 23.04, =1~120). (1992),, 24.,,.,,,. 18 4 Likert (1: 4: )
,. (1992) Cronbach's α.97, Cronbach's α.94. Snyder(1979) (Marital Satisfaction Inventory; MSI), (1999),, (Korea Marital Satisfaction Inventory; K-MSI). (2000) 12 7 93. (2000) (2006).,,, 4,,. Cronbach's α.90,.83,.87,.76. Salovey (1995) (1997) (Trait Meta-Mood Scale; TMMS) 11.,, Likert 5 (1: 5: ). Cronbach's α (1997).88,.80. Garnefski, Kraaij Spinhoven(2001) (2004) (Cognitive Emotion Regulation Questionnaire; CERQ)..,,,,, 5,,,, 4. 36, 5 Likert (1: 5: ). 20. Cronbach's α.91,.87,.84,.71,.80,.66. SPSS 22.0 AMOS 22.0. SPSS 22.0,
Cronbach's α. Pearson., (Structural Equation Modeling; SEM). AMOS 22.0, - (APIM),. (bootstrapping).,,,,. (r=-.18, p<.05), (r=-.19, p<.05), (r=-.33, p<.01).,. (r=.19, p<.05)., (r=-.33, p<.01), (r=-.39, p<.01), (r=-.24, p<.01),,. (r=.19, p<.05) (r=.20, p<.05). (r=.59, p<.01). 1. 1. (kurtosis) < 7, (skewness) < 2 (West, Finch, & Curran, 1995, pp. 56-75).,. AMOS (bootstrap) (Nevitt & Hancock, 2001), (, 2011;, 2009)..,,,,.
1. 2. 1 2 3 4 5 6 7 8 - -.18* - 3. -.19*.17* - 4. 5. 6. -.33**.32*.36** -.15 -.12 -.03 -.13 - -.12.15.01.19* -.33** - 7. -.21**.14.02.20* -.39**.36** - 8. -.12.19*.06.59** -.24**.38**.27** - 3.63.00.13 -.70 1.69 -.57 -.21 -.57 17.89.26 -.46 -.32 2.77 1.23 -.22.04 30.75 40.72 122.79 133.21 33.12 38.39 117.19 126.54 9.57 5.96 13.44 19.97 9.06 6.33 15.65 21.53 1. ( )=. * p <.05. ** p <.01. 1 χ²(df=155)=209.185, CFI=.98, TLI=.97, RMSEA=.05. 2 χ²(df=120)= 163.310, CFI=.98, TLI=.97, RMSEA=.05. CFI TLI.90, RMSEA.05.. (p<.01) ***p <.001.
. 1 2. ***p <.001. 1 1 χ²(df=155)= 209.185, NFI=.92, TLI=.97, CFI=.98, RMSEA=.05, 2. 1, (β=-.30, p<.001)...,, (β =-.34, p<.001)..., (β=.27, p<.01), (β=.31, p<.001)... 3. χ² df χ²/df NFI TLI CFI RMSEA 1 209.185 155 1.35.915.971.976.048 (.03 ~.06) ) 1.
B β S.E. t -.616 -.302.169-3.635*** -.301 -.093.298-1.011 -.111 -.052.177 -.626 -.022 -.007.277 -.081 -.067 -.139.047-1.429 -.224 -.341.064-3.487*** -.039 -.091.038-1.429 -.071 -.095.074 -.959 1.133.269.379 2.990** 1.540.312.465 3.311***.551.126.392 1.405.512.108.427 1.201 ) 1. *p <.05, **p <.01, ***p <.001. 2 2, 2 χ²(df=120)=163.310, NFI=.93, TLI=.97, CFI=.98, RMSEA=.05
, 4. 2., (β=-.28, p<.001), (β=-.19, p<.05).,.., (β=-.23, p<.01),.,., χ² df χ²/df NFI TLI CFI RMSEA 2 163.310 120 1.36.929.974.980.049 (.03 ~.07) ) 2.
., (β=.28, p<.01). B β S.E. t ) 2. *p <.05, **p <.01, ***p <.001. -.570 -.281.172-3.319*** -.604 -.187.296-2.041* -.176 -.083.187 -.939 -.215 -.070.259 -.832 -.375 -.233.141-2.660** -.374 -.183.205-1.821 -.103 -.077.126 -.818 -.169 -.069.218 -.775.347.275.119 2.920**.200.127.148 1.348.043.033.111.389.124.082.130.957
.,.. 5., *p <.05, **p <.01, ***p <.001. -.302** -.052 -.093 -.007 -.047 (-.16 ~.05) -.046 (-.19 ~.05) -.118* (-.29 ~ -.02) -.062 (-.19 ~.02) ) 1. -.349*** -.098 -.211* -.070
*p <.05, **p <.01, ***p <.001. -.281** -.083 -.187 -.070 -.070** (-.16 ~ -.12) -.017 (-.09 ~.02) -.021 (-.11 ~.01).004 (-.07 ~.07) ) 2. -.351*** -.101 -.208 -.066., 1.,. 2.,. 6 7.,,..,,...
. (,, 2014; Lassri & Shahar, 2012; Lassri et al., 2016; Riggs, Cusimano, & Benson, 2011).,,,,. (Linehan, 1993; Morris et al., 2007; Shipman et al., 2005).... (, 2014),.,..,,,,., Shipman (2005) Fitness(2001)., (Fitness, 2001).,.,
,,,.,.,,,.,,,,., (, 2007;, 2015; Riggs et al., 2011)..,., 80% 3.,., (Bloch, Haase, & Levenson, 2014).,. (multilevel modeling),.,. (Levenson et al., 2015),,..,.,.,
.,,,,.,.,.,,,,,.,.,,..,..,,... (1992).,., (1999).. (1), 123-139. (2007).,., (2000). :. (1), 175-216. (2002).
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The Mediating Effect of Emotional Clarity and Emotion Regulation in the Relationships Between Childhood Emotional Abuse and Romantic Relationship Satisfaction: Focusing on Actor and Partner Effects Keimyung University The purpose of this study was to examine the mediating effect of emotional clarity and emotion regulation in the relationships between childhood emotional abuse and romantic relationship satisfaction. To test the hypothesized model, the Actor-Partner Interdependence Model(APIM; Kenny, 1996) was applied. The data were collected through a survey with 151 couples(n=302) in South Korea whose ages were between 18 and 35. They responded to questions regarding their childhood emotional abuse, emotional clarity, emotion regulation and, romantic relationship satisfaction. To analyze data, structural equation analysis was conducted using AMOS. The research findings are as follows: First, male s childhood emotional abuse had a direct effect on his romantic relationship satisfaction. Second, male s childhood emotional abuse had an indirect effects on his romantic relationship satisfaction through his emotion regulation. Third, female s childhood emotional abuse had an indirect effects on her romantic relationship satisfaction through her emotional clarity. These results suggest that emotional clarity and emotion regulation mediates the relationships between childhood emotional abuse and early adult romantic relationship satisfaction. Findings of this study provide implications of research and practice for couples with childhood emotional abuse. Key words : childhood emotional abuse, romantic relationship satisfaction, emotional clarity, emotion regulation, actor-partner effect(apim)