「早婚者」的婚姻品質：青少年期的父母婚姻關係與親子關係之影響

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(1)Marital Quality of the “Early-Married” The Influence of Parents’ Marital Relationship and Parent-Child Relationship During Adolescence.

(2) 「「. （. ；. ）. 「 FLE. ？. ） —. ？. 2019/02/18.

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(4) Abstract Who would choose to get marriage early? Some of research pointed out, earlymarriage and early-fertility are relative with disadvantaged economies or social development in adulthood, that being so, “early-marriage” is considered as the worst choice. This study not only focus on the early-married people in young generation, but also want to explore the experience from family of orientation, which is included adolescents’ perceptions about their parents’ marital relationship and parent-child relationship, how to impact on the marital equality of early-marriage. The data used in this study are from the Taiwan Youth Project, which from junior stage and adult stage. Additionally, the early-married who is below a standard deviation of the average first marriage age between the same generation as the screening criterion. With this result, the selected samples comprise 263 people. The results indicated the following findings. The marriage age would not impact on the marital quality of early-marriage. However, male and being pregnant or fertility before marriage would feel poorer marital quality. Furthermore, the family of orientation among adolescence is actually related to the marital quality of early-marriage. Although, the marital quality of early-marriage has intergenerational transmission, but male early-married can decline the perceptions from their parents’ negative marital relationship through stable parent-child relationship among adolescence to impact on the marital quality of early-marriage. Keywords: early-married people, marital quality, parents’ marital relationship, parent-child relationship, adolescence.

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(36) TYP. 乃 3. 3. 3. 3 （. 3. 乃. -. （ 1. 乃支市. T. TYP. 乃 P 3P斥人. 200,000. 18. C. 3 90,000~119,999 3 200,000. 0. 止民. 民. 10,000. 人卡六. 30,000. 市. 3 30,000~59,999 3 120,000~149,999. C3. 3 60,000~89,999. 3 150,000~199,999. 示. 人用. TYP. 乃 P 2014. 示 TYP. ：又. 人乃. P 2014. 王. 尹：3. 1. 王 19 27. 、 19~26. -. ：3. 0. 30.

(37) TYP. 及. 及北乎. 北. ㄧ. 北北. 北. ，及. P 2014. 乃. 王. 北. 乎. 3. 及. 3. 1 0. 3. 玉天. 示. 玉玉. 乃. 斥人—. 4. 玉. 比十?3. 13. 比3 33. 外. 斥人. 比3 23. 比3 43. 玉. TYP. 3. 比3. 比. 玉北北. TYP. 玉. 斥人— C A 3. 及北. 下. 3. 及. 4. 斥人. 下3 33 北（玉北. 下北. 下. 13 外. 下3 43 人P. 下. 31. 3. 下3 23 下3. 北.

(38) 〈 TYP. P 2014. 乃. 人—. 》王. P七. P 比十. 斥斥人. 比3 23. 比3 43. 外. 3. 又. 3. 13 33. P 比. 4. 比3. 比3. 比. Statistics Package for Social Science, SPSS-23.0. 及. 平. 止. 夫. 〈. t. 〈. 示. 人P. 人 One-Way Anova-. 示. 尹t. P. Chi-Square Test-. 尹. A. P. One-Way Anova-. 示. 用示. P七. 32. 示：P 示.

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(40) 34.

(41) 263. 142. 121. 4-1-1. 54.0%. 46.0%. TYP 2014 139 124. 47.1%. 44 119. 45.2%. 100. 16.7% 38.0%. 231 32. 52.9%. 12.2%. 35. 87.8%.

(42) 30,000 30,000~59,999 90. 34.2%. 63. 22. 4.6%. 8.4%. 200,000. 19. 6. 9 6.5%. 3.4%. 23 80. 25.09. 2.3%. 30.4%. 27. 60,000~89,999 53. 20.2%. 4.9%. 20 17. 8.7%. 3.8%. 150,000~199,999 13. 22. 24. 26. 24.0%. 90,000~119,999. 120,000~149,999. 10. 4-1-1. 3 6.5%. 25. 1.1%. 23 39. 69. 12. 17 14.8%. 26.2%. SD=1.97. 4-1-1. 24.36 SD=1.96. 25.71 SD=1.79. 36. 21.

(43) 190 73. 72.2%. 27.8%. 4-1-1. 80.2% 65.5%. 155 108. 37. 41.1%. 58.9% 4-1-1.

(44) 4-1-1. ( ). <30,000 30,000~59,999 60,000~89,999 90,000~119,999 120,000~149,999 150,000~199,999 ≥200,000 19 20 21 22 23 24 25 26 27 M(SD). ***p<.001, **p<.01, *p<.05. N 139 124 44 119 100 231 32 10 63 90 53 22 12 13 6 3 9 17 17 23 39 80 69 25.09 190 73 155 108. =263 (%) (52.9) (47.1) (16.7) (45.2) (38.0) (87.8) (12.2) (3.8) (24.0) (34.2) (20.2) (8.4) (4.6) (4.9) (2.3) (1.1) (3.4) (6.5) (6.5) (8.7) (14.8) (30.4) (26.2) (1.97) (72.2) (27.8) (58.9) (41.1). 38. N 75 67 26 63 53 126 16 3 24 55 28 16 8 8 1 1 4 6 8 6 17 30 69 25.71 93 49 58 84. N=142 (%) (52.8) (47.2) (18.3) (44.4) (37.3) (88.7) (11.3) (2.1) (16.9) (38.7) (19.7) (11.3) (5.6) (5.6) (0.7) (0.7) (2.8) (4.2) (5.6) (4.2) (12.0) (21.1) (48.6) (1.79) (65.5) (34.5) (40.8) (59.2). 24.36 97 24 50 71. N 64 57 18 56 47 105 16 7 39 35 25 6 4 5 5 2 5 11 9 17 22 50. (1.96) (80.2) (19.8) (41.3) (58.7). N=121 (%) (52.9) (47.1) (14.9) (46.3) (38.8) (86.8) (13.2) (5.8) (32.5) (28.9) (20.7) (5.0) (3.3) (4.1) (4.1) (1.7) (4.1) (9.1) (7.4) (14.0) (18.2) (41.3). .000. .553. .221. 2.809**. 5.860***. 7.014**. .006.

(45) 4-1-2. 3.15. 0.88. 4-1-2. 3.25 0.83 3.02 0.92 4-1-2. 3.24 SD=0.82. 2.46 SD=0.99. 39.

(46) 3.24. 0.65. 4-1-2. 3.25 0.55. 4-1-2. 3.33 0.55 3.15 0.53. 40.

(47) 4-1-2. ***p<.001, **p<.01, *p<.05. 3.02. 3.25. M 3.15. 0.92. 0.83. SD 0.88. 3.23. 3.25. M 3.24. 0.70. 0.61. SD 0.65. 3.15. 3.33. M 3.25. 0.53. 0.55. SD 0.55. 3.24. 0.62. 0.66. 3.09. 3.27. 0.59. 0.54. 2.682** 0.82. 3.25. .372 3.24. 0.99. 2.104* 2.46. 0.67. 3.25. 0.64. 0.51. .1.678 3.26. 3.25. -.080 0.88. 0.62. 4.195*** 3.12. 3.20. -.023. 0.90. .712. 3.21 -.704. 41.

(48) 18 18. 26. 27. 26~27. 87.8% 72.2%. 58.9%. 77.2% 90.8%. 95.0%. 42.

(49) 、. 。，. 。 4-2-1. 43.

(50) ：. ；. 44.

(51) 3.. 2.. 1.. -.072. .346****. .035. --. .147. -.081. .251***. -.052. -.217**. -.291***. .124. -.014. .172. .078. -.048. .000. --. .135. .096. --. .140. --. 4-2-1. 4. -.080. -.077. .108. .180**. N=263. 5. .313****. -.024. -.108. 7. 6. .056. -.135. 6. 7.. .064. 5. 8.. ----. --. 4. 1.. .146. .093. -.192**. .030. .159. .233***. .197**. 3. 2.. .205**. -.165**. -.086. -.031. .248***. .349****. 2. 3.. -.024. .329****. .141. -.012. .000. 1. 4.. .066. .235***. .003. -.080. --. --. 5.. .260***. .142. .019. --. 6.. -.070. .136. --. --. 7.. .131. --. 8. ***p<.001, **p<.01, *p<.05. 45.

(52) 4-3-1. ∆R2=.105 F=2.971** ∆R2=.017. F=5.037*. 46. ∆R2=.033 F=9.744**.

(53) 4-3-1 10.5%. β= .397 p<.01 β= .128 p<.05. β= .240 p<.01. β= -.273, p<.05. 13.9% β= .371, p<.01. β= .231, p<.01 β= -.275, p<.05. β= .201, p<.01. 47.

(54) 15.6% β= .135 p<.01 ). β= .358, p<.01 β= .211, p<.05. β= .173, p<.01. 48.

(55) 4-3-1. ( a. ). X. R2. F R2 ***p<.001, **p<.01, *p<.05 a. t. N=263 t. t. -.009. -.191. -.120. 2.057**. -.102. -2.156**. -1.952. .371. .068. .011. -.163. -.070. -.284. 3.102***. 1.062. .128. -1.858*. -1.124. -.047. -.021. .358. .080. -.001. -.169. -.086. 2.099**. -.677. -.334. 3.013***. 1.257. -.016. -1.948*. -1.371. β. .128. 3.269***. -.018. -.427. .211. -.168. β. .397. -.169. -.030. 2.287***. -.011. β. -.011. -.581. .231. -.008. 5.188. -.041. 2.340***. -.001. -1.916*. 5.506. .240. .227. -.252. 6.428*. .015. -2.088**. 2.660***. -.275. .173. -2.033**. 3.122***. -.273. .201 2.971**. .139. 9.744**. .017. .156. 5.037*. 2.244** .105. .033. .135. .105. 49.

(56) 二. 半半. 小出？ OLS. 二 least squares. ordinary. 半二. 小出七 4-4-1. 仍. 七 4-4-2 半. 七. H1. ？ βa=.327 p<.001. H2 βb=.203 p<.01. OLS. 小出 H3 H3 βc=.207 p<.05 H4. ？. H1. βa’=.285. βa > βa’ 半 βa - βa’. 0.042. p<.01 Sobel. βb. βc. 0.042. ？二. 小出. 二。. 50.

(57) 七 4-4-1. 七. 七 4-4-1. 七. 51.

(58) 52.

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(60) 王. 王＝. 王. ＝. 二＝上才. 子. 小出. 2013. 2006. 王. Jackson, 2009. 及. ＝. 力。. 王. 半. 二. 。尹. ＝. 王. 及小出. 士. 二. 「. ：. ＝. 、. 互. ＆二. 王. ＝. 半、. 支. 少. 小出. 54. 介.

(61) 少. ＝. 少. ＝. 小出. 少. ＝. 半。王. 半. Martino, Collins, &. 少. Ellickson, 2004; Choe, Thapa, & Mishra, 2005; UNFPA, 2013 ＝仍 103. 二 2014. 尹 121.4. 10.1. 乏. 下＝. 9. ＝. 9. 103. ＝. 少. 少. 少＝、. ＝. 少凸. 55.

(62) 口口. 小出內. Amato &. 半. Patterson, 2017; Story, Karney, Lawrence & Bradbury, 2004 片 2013. Li, & Wu, 2008 Pan, 2014. 9 。. ＝. 片. 半. 小出. ＝. 二. ；. 半. ）. ＝. 仍. 二二. 。. 小出. ＝. 1989. 口＝. 小出. 56. 文.

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(69) 2018 C. 片. 30. 內. 工. 2018. 5. 2018. https://www.ris.gov.tw/346 2017 2017. 3. C. 片. 16. https://www.ris.gov.tw/346. 2005. ,. 2008. 37 45-85. 2016. 土. 二 22 1. 2014. 世. — 」. 104. 06. 小出. 49-79. 入. 半. 已. 10 1. 103. 尹. 10. 2018. https://win.dgbas.gov.tw/fies/a11.asp?year=103 1989 日. 半尹 1-21. 10 2014. 2018. 片. 小出 25 181-246. 1995. 內 4 260-321. 2015. 上. 1996. 、. 2016. 主. ？. 月. 63. 12. 1. 7.

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(78) TYP 2000 2002 2014 2000 2002. 2014. 72. <1. 10,000 10,000~14,999 15,000~19,999 20,000~29,999 30,000~39,999 40,000~49,999 50,000~59,999 60,000~69,999 70,000~79,999 80,000~89,999 90,000~99,999 100,000~109,999 110,000~119,999 120,000~129,999 130,000~139,999 140,000~149,999 150,000~199,999 200,000 /. ?.

(79) TYP. 2000 2002. 2000 2002. 2014. 73. 4. 4. 4. 2. 2. 2. 3. 3. 1. 1. 3. 1.

(80)