臺灣青少年性格發展之多重指標：從HEXACO六大性格特質切入

Yi-Shan Tsai; Shao-Chun Chuang; Kung-Yu Hsu

doi:10.6251/BEP.202306_54(4).0008

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社会科学 > 心理学
社会科学 > 教育学

DOI： 10.6251/BEP

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台湾青少年性格发展之多重指标：从HEXACO六大性格特质切入

Multiple Indicators of Personality Development for Taiwanese Adolescents: The HEXACO Model of Personality as a Framework

蔡沂珊(Yi-Shan Tsai) ；庄诏钧(Shao-Chun Chuang) ；许功余(Kung-Yu Hsu)

教育心理学报； 54 卷 4 期 (2023 / 06 / 01) ， P945 - 971

繁体中文;英文 DOI： 10.6251/BEP.202306_54(4).0008

青少年性格发展； HEXACO性格；性格连续性； adolescent personality development ； HEXACO model ； personality continuity

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摘要 │ 参考文献 (78) │ 国际计量

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The development of personality traits has received considerable attention from scholars in recent 20 years (Caspi et al., 2005). However, few studies in Taiwan have examined the development of personality in teenagers. Therefore, this study, with a longitudinal design, analyzed the patterns of personality trait development in adolescents by using the Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience (HEXACO) personality model. Mean-level continuity, rank-order continuity, ipsative continuity, and individual-level change were employed as indicators of personality development. However, structural continuity was first examined to validate the consistent structure of constructs across time (De Fruyt et al., 2006). Mean-level continuity is a measure of the average difference in the personality traits of the same group of individuals across time or simultaneously between different age groups (Wright et al., 2012). Studies (Ashton & Lee, 2016) have revealed a pattern of increasing agreeableness and a pattern of decreasing honesty-humility during adolescence. However, the development patterns for the remaining dimensions are inconsistent, and they differ between preadolescence and postadolescence. Rank-order continuity indicates the stability of individuals with respect to their relative rankings on certain personality traits within a group or between time points. This measurement is generally calculated using the coefficient of correlation between specific personality traits at two time points (Wright et al., 2012). Roberts and DelVecchio (2000) found that the average correlation coefficient in the age group from 12 to 17.9 years ranged from .46 to .48 (Borghuis et al., 2017; Klimstra et al., 2009). Third, individual-level change is a measure of intraindividual comparison; the differences in a particular personality trait in the same individual across time are evaluated. The reliability change index is primarily employed to compare an observed distribution with the theoretically expected distribution (i.e., normal distribution) and involves calculating standardized scores of the difference scores between two time points. Studies have indicated that the change ratios of adolescents in the United States and Estonia were higher than the theoretically expected distribution (McCrae et al., 2002; Pullmann et al., 2006). Finally, ipsative continuity indicates the continuity of overall personality traits over time and is commonly expressed using the Q correlation coefficient (Wright et al., 2012). there were higher cross-time stabilitiesy in overall personality during postadolescence than during preadolescence (Klimstra et al., 2009; Van Dijk et al., 2020). This data analyzed here was from a study of the "investigation of adolescent personality and social behavior in daily life" (Hsu & Chang, 2015). There were 594 junior high school students (JHSSs) and 991 vocational high school students (VHSSs) in Taiwan over 3 years. Of the participants who completed the 3-year follow-up, 405 were JHSSs (M = 12.96, SD = 0.62; 185 male) and 595 were VHSSs (M = 15.73, SD = 0.59; 346 male). All participants were instructed to complete the Chinese version of the HEXACO-100 Personality Inventory (Hsu & Chang, 2015) each year. The scale comprises six major dimensions of personality (i.e., honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness), with 16 items in each dimension; these items are scored using a 5-point Likert scale (1 = completely disagree to 5 = completely agree). The Chinese version of each subscale has good reliability, with values of Cronbach's α ranging from .73 to .78. Before the formal analyses, we employed multi-group confirmatory factor analysis (MGCFA) to validate the structural consistency across 3 years in these two groups. We constructed four models to assess invariance in the measurement structure over time in accordance with the recommendations of Meredith (1993): A configural invariance model, a factor loadings invariance model, an intercept invariance model, and a residuals invariance model. The results revealed structural continuity for the two student groups over 3 years; the JHSSs had intercepts invariance and the VHSSs had residuals invariance. Mean-level continuity was evaluated using MGCFA by incorporating a model for mean invariance. This model was used to examine average differences in the levels of the measured constructs across time. The results revealed that the fit for mean-level invariance was not good for neither the JHSSs nor the VHSSs. Four types of patterns may be observed when examining changes in mean-level continuity: A declining pattern, a rising pattern, a V-shaped pattern, and a flat pattern. In the VHSSs, the honesty-humility construct had a declining pattern over the 3 years. In addition, the honesty-humility and conscientiousness constructs for the JHSSs and the agreeableness construct for the VHSSs exhibited significant differences only in the first and third years. For the VHSSs, only the openness construct exhibited a rising pattern, with a significant difference discovered between the first and third years. The openness construct for the JHSSs had a V-shaped pattern, and the emotionality construct for the VHSSs had an inverted V-shaped pattern. Finally, the remaining dimensions in the two samples had flat patterns (i.e., nonsignificant mean-level difference over 3 years). Rank-order continuity was analyzed using correlations between two time points (Roberts & DelVecchio, 2000). The correlation coefficients indicated a high level of effectiveness in capturing rank-order continuity between the same personality dimension in adjacent years for both JHSSs and VHSSs. Furthermore, when analyzing extraversion standardized by Z score, this study found that the correlation coefficient for VHSSs was significantly higher than that for JHSSs for two adjacent years. However, for emotionality, conscientiousness, and openness, the correlation coefficients for VHSSs were significantly higher than those for JHSSs only in the first and second years. Honesty-humility and agreeableness did not differ significantly between the two groups in adjacent years. This study analyzed the change in personality scores of individuals between two time points by comparing the observed difference distribution with the theoretically expected distribution. With respect to JHSSs, the results revealed significant differences between the observed difference distributions of extraversion and agreeableness from the theoretically expected distributions in two adjacent years. In addition, significant differences in honesty-humility and emotionality were discovered between the second and third years and the first and second years, respectively. With respect to VHSSs, the results revealed significant differences between the observed difference distributions of honesty-humility, extraversion, agreeableness, and openness in the first and second year and in the second and third year from the expected difference distributions. Notably, the proportion of individuals with decreasing scores in honesty-humility was greater than those with rising scores. Ipsative continuity, expressed using the Q correlation coefficient, is used to evaluate the continuity of the relative rankings of an individual's overall personality traits over time. A higher coefficient indicates greater similarity in the overall personality profile at the two time points. The average Q correlation coefficient for JHSSs was .65 and .72 in adjacent years. The average Q correlation coefficient for VHSSs was .70 and .74 in adjacent years. In addition, when comparing the Q correlation coefficient calculated from the actual data with that obtained from simulation samples with the same means and standard deviation, the Q correlation coefficient of the actual data was greater. This finding suggests a high level of ipsative continuity in both groups. This study examined personality development in adolescence by evaluating both mean-level and rank-order continuity from the interindividual and intraindividual perspectives. Four indicators-mean-level continuity, rank-order continuity, individual-level change, and ipsative continuity-were analyzed in preadolescent (i.e., JHSS) and postadolescent (i.e., VHSS) samples. The mean-level continuity results revealed no clear changes in the dimensions except for in honesty-humility (decreasing pattern), which agrees with the results of a relevant study (Ashton & Lee, 2016). Adolescents may compete with peers to obtain resources during adolescence, resulting in less frequent cooperative and altruistic behaviors (Ashton & Lee, 2016). The correlation coefficient for rank-order continuity was greater than 0.5 for both 1-year and 2-year intervals. The results indicated a large individual-level change in conscientiousness; small individual-level changes were found in other dimensions, such as honesty-humility, emotionality, extraversion, and agreeableness. The average Q correlation coefficient of ipsative continuity in 2 years of preadolescence was .69, whereas that in 2 years of postadolescence was .72, indicating high ipsative stability in adolescence. The overall results of mean-level continuity and individual-level changes revealed changes within individuals over time but no significant changes in individuals for certain personality traits (e.g. emotionality). The design of this study can be improved in several way. The use of different participants in the preadolescence and postadolescence phases created a disconnect in the development patterns, resulting in potential errors when explaining the development pattern of the adolescent period. In addition, the onset of adolescence varies; therefore, future studies may yield valuable insights by extending the duration over which individuals are tracked to when they graduate from college or enter the workforce.

参考文献 ( 78 ) 〈TOP〉

张映芬, Y.-F.(2020)。父母心理支持／控制与国中生心理需求、动机涉入关系之分析。当代教育研究季刊，28(4)，61-95。
连结：
梁䕒镁, C.-M.,吴志文, C.-W.,程景琳, C.-L.(2021)。父母心理控制与成年初显期子女之社交焦虑：自我分化的中介影响。教育心理学报，53，359-382。
连结：
许功余, K.-Y.(2018)。华人青少年性格向度的构念检核：与北美性格向度之异与同。中华心理学刊，60，1-31。
连结：
许功余, K.-Y.,张玉铃, Y.-L.(2015)。费力控制与 HEXACO 性格向度对青少年内化与外化问题行为之预测效果。中华心理学刊，57，1-25。
连结：
程景琳, C.-L.,陈虹仰, H.-Y.(2015)。父亲及母亲心理控制行为与子女同侪受害的关联：社交焦虑的中介影响。教育心理学报，46，357-375。
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