目的:将人际长处量表(Inventory of Interpersonal Strengths,IIS)引入中国,并在大学生群体中对其理论结构和信效度进行检验。方法:1115名在校大学生完成中文版人际长处量表(C-IIS)、部分被试完成大五人格量表(NEO-FFI)和生活满意度量表...目的:将人际长处量表(Inventory of Interpersonal Strengths,IIS)引入中国,并在大学生群体中对其理论结构和信效度进行检验。方法:1115名在校大学生完成中文版人际长处量表(C-IIS)、部分被试完成大五人格量表(NEO-FFI)和生活满意度量表(SWLS)。结果:①探索性因子分析和环形结构分析证明C-IIS符合环形顺序假设并可拟合准环形模型;②8种人际长处类型与神经质人格显著负相关,与外向性和严谨性人格显著正相关,与生活满意度显著正相关;③总量表的Cronbach’sα系数为0.96,8个分量表Cronbach’sα系数在0.70-0.90之间。结论:C-IIS符合人际环形模型并具有较好的信效度,可作为国内测量人际长处的有效工具。展开更多
Healthy relationships are important to functioning in daily life and across the life-span （e.g., Burman and Margolin 1992）. Personality factors could predict relationship satisfaction through the influence of indivi...Healthy relationships are important to functioning in daily life and across the life-span （e.g., Burman and Margolin 1992）. Personality factors could predict relationship satisfaction through the influence of individuals＇ relationship schemas （Fiske and Taylor 1991） and perceptions of their partners （Simpson and Rholes 1998）. Given the potential importance of attachment styles to relationship mechanisms and the well-established relationship between attachment and interpersonal behavior （Bartholomew and Horowitz 1992; Hazan and Shaver 1987）, interpersonal traits may influence relationship satisfaction directly. According to Leary＇s （1957） interpersonal reflex theory, any interpersonal act elicits responses from the other person that verify, validate, or otherwise reinforce the actor＇s own self-image and self-presentation, and thus increase the probability that the actor will emit similar interpersonal acts in future interactions. The Impact Message Inventory （IMI） attempts to measure individuals＇ perceptions of how others impact them by evoking interpersonal acts such as dominance and affiliation. This study examined the influence of perceived partner-evoked behavior and individuals＇ own interpersonal styles on relationship satisfaction. This study used IMI measures of evoked Dominance and Affiliation as well as revised Liking and Loving measures to predict relationship satisfaction using three different satisfaction outcome measures. The final analyses included 291 participants （134 men and 157 women） who completed a scantron survey. Partner impact, or the interpersonal behaviors, evoked from the individual during interaction, predicted relationship satisfaction well. Evoked affiliation was the most consistently strong predictor of satisfaction across all three outcome measures. Liking （distinct here from affiliation） is a stronger predictor of relationship satisfaction than is loving （distinct here from passion）, and it is significant across all three outcome measures. The liking measure appears to reflect a relatively high level of reward in the relationship and intrinsic enjoyment of the partner＇s company without the comparative cost of loving. Future research should examine interactions between couples, moving beyond intrapsychic self-reports of perceived experiences and feelings, although these are important in their own right.展开更多
文摘目的:将人际长处量表(Inventory of Interpersonal Strengths,IIS)引入中国,并在大学生群体中对其理论结构和信效度进行检验。方法:1115名在校大学生完成中文版人际长处量表(C-IIS)、部分被试完成大五人格量表(NEO-FFI)和生活满意度量表(SWLS)。结果:①探索性因子分析和环形结构分析证明C-IIS符合环形顺序假设并可拟合准环形模型;②8种人际长处类型与神经质人格显著负相关,与外向性和严谨性人格显著正相关,与生活满意度显著正相关;③总量表的Cronbach’sα系数为0.96,8个分量表Cronbach’sα系数在0.70-0.90之间。结论:C-IIS符合人际环形模型并具有较好的信效度,可作为国内测量人际长处的有效工具。
文摘Healthy relationships are important to functioning in daily life and across the life-span （e.g., Burman and Margolin 1992）. Personality factors could predict relationship satisfaction through the influence of individuals＇ relationship schemas （Fiske and Taylor 1991） and perceptions of their partners （Simpson and Rholes 1998）. Given the potential importance of attachment styles to relationship mechanisms and the well-established relationship between attachment and interpersonal behavior （Bartholomew and Horowitz 1992; Hazan and Shaver 1987）, interpersonal traits may influence relationship satisfaction directly. According to Leary＇s （1957） interpersonal reflex theory, any interpersonal act elicits responses from the other person that verify, validate, or otherwise reinforce the actor＇s own self-image and self-presentation, and thus increase the probability that the actor will emit similar interpersonal acts in future interactions. The Impact Message Inventory （IMI） attempts to measure individuals＇ perceptions of how others impact them by evoking interpersonal acts such as dominance and affiliation. This study examined the influence of perceived partner-evoked behavior and individuals＇ own interpersonal styles on relationship satisfaction. This study used IMI measures of evoked Dominance and Affiliation as well as revised Liking and Loving measures to predict relationship satisfaction using three different satisfaction outcome measures. The final analyses included 291 participants （134 men and 157 women） who completed a scantron survey. Partner impact, or the interpersonal behaviors, evoked from the individual during interaction, predicted relationship satisfaction well. Evoked affiliation was the most consistently strong predictor of satisfaction across all three outcome measures. Liking （distinct here from affiliation） is a stronger predictor of relationship satisfaction than is loving （distinct here from passion）, and it is significant across all three outcome measures. The liking measure appears to reflect a relatively high level of reward in the relationship and intrinsic enjoyment of the partner＇s company without the comparative cost of loving. Future research should examine interactions between couples, moving beyond intrapsychic self-reports of perceived experiences and feelings, although these are important in their own right.
