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自恋与行为抑制/激活系统的关系：元分析

本站小编 Free考研考试/2022-01-01
程浩1, 张亚利2, 姚雪1, 张向葵1()
1东北师范大学心理学院, 长春 130024
2中国人民大学教育学院, 北京 100872
收稿日期:2020-09-21出版日期:2021-10-15发布日期:2021-08-23
通讯作者:张向葵E-mail:zhangxiangkui@126.com



The relationship between narcissism and BIS/BAS: A meta-analysis

CHENG Hao1, ZHANG Yali2, YAO Xue1, ZHANG Xiangkui1()
1School of Psychology, Northeast Normal University, Changchun 130024, China
2School of Education, Renmin University of China, Beijing 100872, China
Received:2020-09-21Online:2021-10-15Published:2021-08-23
Contact:ZHANG Xiangkui E-mail:zhangxiangkui@126.com






摘要/Abstract


摘要： 运用元分析方法探讨自恋与行为抑制/激活系统的关系。经过文献检索和筛选, 纳入原始文献19篇, 包含25个独立样本, 共7702名被试。根据同质性检验结果, 选用随机效应模型。结果发现, 自恋与行为抑制系统存在中度负相关(r = -0.27, 95% CI为[-0.34, -0.21]), 自恋测量工具在两者间起显著的调节作用; 自恋与行为激活系统存在高度正相关(r = 0.46, 95% CI为[0.40, 0.52]), 被试类型在两者间起显著的调节作用。自恋与行为抑制/激活系统的密切关系支持了自恋的主体性理论和人格强化敏感性理论。


表1纳入元分析研究的基本资料
研究 被试 样本量 年龄(岁) 女性比 自恋工具 BIS BAS 文献质量
Spencer et al. (2017)a 大学生 854 20.24 0.66 FFNI -0.28 0.46 3
Spencer et al. (2017)b 大学生 258 19.30 0.74 GNS -0.07 0.36 3
Neria et al. (2016) 成年人 319 35.52 0.54 NPI -0.23 0.17 6
Stenason & Vernon (2016) 大学生 242 18.85 0.50 SD3 -0.07 0.38 4
Mowlaie et al. (2016) 大学生 200 24.00 0.39 PNI -0.33 0.45 9
Jonason & Jackson (2016) 成年人 300 23.94 0.74 DD 0.23 0.12 7
Miller et al. (2009) 大学生 200 19.11 0.60 NPI -0.30 0.23 9
MacLaren & Best (2013) 大学生 346 20.40 0.69 NPI -0.24 0.40 7
Subramanian et al. (2020) 成年人 657 45.04 0.57 NARQ -0.09 0.36 6
Miles et al. (2019)a 成年人 196 42.42 0.58 NPI -0.43 0.60 8
Miles et al. (2019)b 成年人 151 46.28 0.54 NPI -0.42 0.63 9
Roose et al. (2011) 高中生 455 16.67 0.45 APSD -0.13 0.26 3
Fulford et al. (2008) 高中生 233 NA 0.57 NPI -0.27 0.20 7
Leung et al. (2020) 大学生 182 20.63 0.57 NPI NA 0.34 3
Włodarska et al. (2018)* 高中生 237 16.32 0.47 SD3 -0.13 0.42 3
Ackerman et al. (2010) 大学生 353 NA 0.71 NPI -0.26 0.33 8
Collison et al. (2018) 成年人 280 NA 0.65 NPI -0.21 0.22 8
Foster et al. (2009)a 大学生 109 21.00 0.59 NPI -0.21 0.58 8
Foster et al. (2009)b 大学生 119 20.00 0.55 NPI -0.26 0.60 8
Foster & Trimm (2008)a 大学生 917 21.00 0.63 NPI -0.28 0.34 6
Foster & Trimm (2008)b 大学生 193 22.00 0.75 NPI -0.46 0.57 8
Foster & Trimm (2008)c 大学生 209 21.00 0.65 NPI -0.35 0.52 8
Hart et al. (2017) 大学生 303 18.79 0.78 NPI -0.29 0.39 8
Hermann et al. (2015)a 大学生 206 18.90 0.69 NPI -0.29 0.47 7
Hermann et al. (2015)b 大学生 183 18.90 0.65 NPI -0.22 0.35 7

表1纳入元分析研究的基本资料
研究 被试 样本量 年龄(岁) 女性比 自恋工具 BIS BAS 文献质量
Spencer et al. (2017)a 大学生 854 20.24 0.66 FFNI -0.28 0.46 3
Spencer et al. (2017)b 大学生 258 19.30 0.74 GNS -0.07 0.36 3
Neria et al. (2016) 成年人 319 35.52 0.54 NPI -0.23 0.17 6
Stenason & Vernon (2016) 大学生 242 18.85 0.50 SD3 -0.07 0.38 4
Mowlaie et al. (2016) 大学生 200 24.00 0.39 PNI -0.33 0.45 9
Jonason & Jackson (2016) 成年人 300 23.94 0.74 DD 0.23 0.12 7
Miller et al. (2009) 大学生 200 19.11 0.60 NPI -0.30 0.23 9
MacLaren & Best (2013) 大学生 346 20.40 0.69 NPI -0.24 0.40 7
Subramanian et al. (2020) 成年人 657 45.04 0.57 NARQ -0.09 0.36 6
Miles et al. (2019)a 成年人 196 42.42 0.58 NPI -0.43 0.60 8
Miles et al. (2019)b 成年人 151 46.28 0.54 NPI -0.42 0.63 9
Roose et al. (2011) 高中生 455 16.67 0.45 APSD -0.13 0.26 3
Fulford et al. (2008) 高中生 233 NA 0.57 NPI -0.27 0.20 7
Leung et al. (2020) 大学生 182 20.63 0.57 NPI NA 0.34 3
Włodarska et al. (2018)* 高中生 237 16.32 0.47 SD3 -0.13 0.42 3
Ackerman et al. (2010) 大学生 353 NA 0.71 NPI -0.26 0.33 8
Collison et al. (2018) 成年人 280 NA 0.65 NPI -0.21 0.22 8
Foster et al. (2009)a 大学生 109 21.00 0.59 NPI -0.21 0.58 8
Foster et al. (2009)b 大学生 119 20.00 0.55 NPI -0.26 0.60 8
Foster & Trimm (2008)a 大学生 917 21.00 0.63 NPI -0.28 0.34 6
Foster & Trimm (2008)b 大学生 193 22.00 0.75 NPI -0.46 0.57 8
Foster & Trimm (2008)c 大学生 209 21.00 0.65 NPI -0.35 0.52 8
Hart et al. (2017) 大学生 303 18.79 0.78 NPI -0.29 0.39 8
Hermann et al. (2015)a 大学生 206 18.90 0.69 NPI -0.29 0.47 7
Hermann et al. (2015)b 大学生 183 18.90 0.65 NPI -0.22 0.35 7


表2同质性检验结果
模型 研究数 Q df I2 Tau2 SE Variance Tau
随机效应模型 24 213.76*** 23 89.24% 0.03 0.010 <0.001 0.17
25 284.13*** 24 91.55% 0.04 0.013 <0.001 0.19

表2同质性检验结果
模型 研究数 Q df I2 Tau2 SE Variance Tau
随机效应模型 24 213.76*** 23 89.24% 0.03 0.010 <0.001 0.17
25 284.13*** 24 91.55% 0.04 0.013 <0.001 0.19



图1p-curve分布图
图1p-curve分布图


表3自恋与BIS/BAS随机效应模型分析
模型 研究数 样本量 点估计 95% CI下限 95% CI上限 Z
随机效应模型 24 7520 -0.27 -0.34 -0.21 -7.78***
25 7702 0.46 0.40 0.52 12.38***

表3自恋与BIS/BAS随机效应模型分析
模型 研究数 样本量 点估计 95% CI下限 95% CI上限 Z
随机效应模型 24 7520 -0.27 -0.34 -0.21 -7.78***
25 7702 0.46 0.40 0.52 12.38***


表4调节效应检验
调节变量 因变量 Q 测量工具 M 点估计 95% CI下限 95% CI上限 Z
测量工具 BIS 15.80*** 其他 5 -0.19 -0.28 -0.09 -3.66***
NPI 16 -0.35 -0.39 -0.31 -14.92***
DD/SD3 3 0.02 -0.25 0.29 0.15
BAS 5.99 其他 5 0.39 0.30 0.46 8.52***
NPI 17 0.51 0.42 0.58 9.93***
DD/SD3 3 0.31 0.11 0.48 3.04**
被试类型 BIS 2.96 大学生 15 -0.31 -0.36 -0.25 -10.45***
成年人 6 -0.23 -0.43 -0.01 -2.05*
高中生 3 -0.20 -0.32 -0.07 -2.94**
BAS 10.16** 大学生 16 0.50 0.44 0.55 14.22***
成年人 6 0.43 0.22 0.61 3.71***
高中生 3 0.31 0.20 0.41 5.41***

表4调节效应检验
调节变量 因变量 Q 测量工具 M 点估计 95% CI下限 95% CI上限 Z
测量工具 BIS 15.80*** 其他 5 -0.19 -0.28 -0.09 -3.66***
NPI 16 -0.35 -0.39 -0.31 -14.92***
DD/SD3 3 0.02 -0.25 0.29 0.15
BAS 5.99 其他 5 0.39 0.30 0.46 8.52***
NPI 17 0.51 0.42 0.58 9.93***
DD/SD3 3 0.31 0.11 0.48 3.04**
被试类型 BIS 2.96 大学生 15 -0.31 -0.36 -0.25 -10.45***
成年人 6 -0.23 -0.43 -0.01 -2.05*
高中生 3 -0.20 -0.32 -0.07 -2.94**
BAS 10.16** 大学生 16 0.50 0.44 0.55 14.22***
成年人 6 0.43 0.22 0.61 3.71***
高中生 3 0.31 0.20 0.41 5.41***







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