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Does the big five predict learning approaches? 总被引：2，自引：0，他引：2
The present study examines if the big five personality traits can statistically predict learning approaches. Four hundred and twenty (286 female and 134 male) university students from Shanghai, PR China volunteered to participate in the study. The participants responded to the NEO Five-Factor Inventory and the Study Process Questionnaire. A cross-examination of the results from zero-order correlation, t-tests, multivariate analysis, and multiple-regression procedures indicated that the big five personality traits predict learning approaches to a certain degree. In this prediction, the conscientiousness and openness traits contributed the most in accounting for the differences in students' learning approaches. Conscientiousness is a good predictor for both the deep and the achieving approaches. Openness significantly predicted the deep approach to learning. Neuroticism is a good predictor for the surface approach to learning, whereas the agreeableness trait clearly predicted a learning approach that is not achieving. Finally, no distinct pattern was identified regarding the relationship of extraversion to any of the learning approaches. 相似文献
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The aim of the present study was to test the cross-cultural validity of the five-factor nature of personality. For this aim, an indigenous, psychometrically strong instrument measuring the basic personality dimensions within Turkish culture and language was developed through three consecutive studies. The first study aimed to reveal the adjectives that have been most frequently used to define people in the Turkish culture. In the second study, factor analysis of these personality characteristics revealed big five personality factors, along with the sixth factor, which had been called as the Negative Valence factor. The adjectives that most strongly represented and differentiated each factor constituted 45-item “Basic Personality Traits Inventory”. Finally, in the third study, psychometric characteristics of the Basic Personality Traits Inventory were examined. Factor structure and psychometric properties of this instrument confirmed that five-factor nature of personality may not hold true in every culture. 相似文献
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In the past decade, researchers have demonstrated that personality can be accurately predicted from digital footprint data, including Facebook likes, tweets, blog posts, pictures, and transaction records. Such computer-based predictions from digital footprints can complement—and in some circumstances even replace—traditional self-report measures, which suffer from well-known response biases and are difficult to scale. However, these previous studies have focused on the prediction of aggregate trait scores (i.e. a person's extroversion score), which may obscure prediction-relevant information at theoretical levels of the personality hierarchy beneath the Big 5 traits. Specifically, new research has demonstrated that personality may be better represented by so-called personality nuances—item-level representations of personality—and that utilizing these nuances can improve predictive performance. The present work examines the hypothesis that personality predictions from digital footprint data can be improved by first predicting personality nuances and subsequently aggregating to scores, rather than predicting trait scores outright. To examine this hypothesis, we employed least absolute shrinkage and selection operator regression and random forest models to predict both items and traits using out-of-sample cross-validation. In nine out of 10 cases across the two modelling approaches, nuance-based models improved the prediction of personality over the trait-based approaches to a small, but meaningful degree (4.25% or 1.69% on average, depending on method). Implications for personality prediction and personality nuances are discussed. © 2020 European Association of Personality Psychology 相似文献
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The objective of the study was to investigate the validity of IAT in the assessment of the Big five personality traits. We employed the Multi-Trait Multi-Method (MTMM) approach on a sample of 146 respondents. We collected measures on IATs assessing Big five personality traits, self-reports, and two ratings of close others of different gender on NEO PI-R. Additionally, we assessed behavior related to the Big five personality traits in a structured interview where three experts independently provided rating measures. MTMM analyses suggest that personality IAT measures have little in common with personality traits measured traditionally using explicit methods. The evidence does not support the claim that personality IAT can serve as a valid measure of individual differences in personality traits. 相似文献
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Previous research has long advocated that emotional and behavioral disorders are related to general personality traits, such as the Five Factor Model (FFM). The addition of section III in the latest Diagnostic and Statistical Manual of Mental Disorders (DSM) recommends that extremity in personality traits together with maladaptive interpersonal functioning, such as lack of empathy, are used for identifying psychopathology and particularly personality disorders (PD). The objective of the present study was to measure dispositions for DSM categories based on normal personality continuums, and to conceptualize these with empathy traits. We used a validated FFM-count method based on the five personality factors (neuroticism, extraversion, openness, agreeableness, and conscientiousness), and related these to 4 empathy traits (emphatic concern, perspective-taking, fantasy, and personal distress). The results showed that FFM-based PD scores overall could be conceptualized using only two of the empathy traits, low emphatic concern and high personal distress. Further, specific dispositions for personality disorders were characterized with distinct empathy traits (e.g., histrionic with high fantasy, and paranoid with low perspective-taking). These findings may have both theoretical and practical implications in capturing potential for personality disorders with ease and efficiency. 相似文献
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Oshrit Kaspi‐Baruch 《创造性行为杂志》2019,53(3):325-338
This study examined the association between the big five personality dimensions and creativity through the moderation of motivational goal orientation. One hundred and ninety students engaged in full‐time employment completed questionnaires, which were used to assess the variables of interest. Regression moderation analyses supported some of the expected hypotheses. The associations between the big five dimensions and creativity were moderated by learning motivational goal orientation. Individuals high in extroversion, emotional stability, and low in conscientiousness, are most creative when they are oriented toward learning. In addition, openness fully predicted creativity, without the moderation of goal orientation. The results are discussed in terms of the interactional nature of personality and goal orientation theory. 相似文献
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The Big Five is a useful model of attributes now commonly used in cross‐cultural research, but without the support of strong measurement invariance (MI) evidence. The Big Six has been proposed as a cross‐culturally informed update, and the broader Big Two (Social Self‐Regulation and Dynamism) draws on even more cross‐cultural evidence. However, neither has been rigorously tested for cross‐cultural MI. Here a Big Six inventory (36QB6) and measures of the Big Five and Big Two derived from it were tested and refined for cross‐cultural usability in samples from 26 nations, divided into three subsets. Confirmatory factor analysis of the models in the first subset of nations demonstrated fit as strong in translation as typical personality measures achieve in their nation of origin (although poor per standard benchmarks). Items that performed inconsistently across cultures were removed, and alternates considered in a second subset of nations. Fit and invariance were improved for refined 30‐item QB6, 25‐item Big Five and 14‐item Big Two measures in the third subset of nations. For all models, decrease in comparative fit index between MI levels was larger than .01, indicating lack of support for higher levels. Configural and factorial invariance were relatively stronger, compared to scalar and full. Copyright © 2014 European Association of Personality Psychology 相似文献
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旨在考察嫉妒与人格维度及人格因素的关系 ,通过对 2 31名被试者施测Bringle自我报告嫉妒量表 ,Hup ka爱情嫉妒量表 ,White习惯及关系嫉妒量表 ,Buunk嫉妒量表和大 5人格量表 (NEO -PI-R) ,对施测结果进行相关分析和逐步回归分析 ,发现在大 5人格量表中所包含的神经质 ,外向性 ,开放性 ,顺同性和严谨性 5种人格维度中 ,只有神经质维度与嫉妒呈现一致性密切关系 ;外向性维度与嫉妒的一致性关系尚不明确 ;开放性维度、顺同性维度和严谨性维度与嫉妒关系并不密切。在 30种人格因素中 ,除焦虑、自我意识、正性情绪和信任 4种人格因素与嫉妒呈现一致性密切关系外 ,其他人格因素与嫉妒的关系不明显甚至无关。研究结果表明 :在 5种人格维度中 ,神经质人格维度在嫉妒的形成和发展中起主要影响作用 ;在 30种人格因素中 ,焦虑、自我意识、正性情绪和信任 4种人格因素是影响嫉妒心理和嫉妒行为的重要因素 相似文献
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女性人格特征的服装服饰刻板印象研究 总被引：1，自引：0，他引：1
采用服装服饰偏好语义区分量表对与女性人格特征相关联的服装服饰刻板印象进行了研究。实验由１０７名男女大学生,针对给定的刺激人物的四种不同人格特征,在服装服饰量表上作出印象判断。结果证实,存在与不同人格特点相关联的服装服饰刻板印象,并揭示出在四种人格特征的服装服饰刻板印象中,所存在的具体的服饰符号特征。实验还发现,服装服饰刻板印象中存在着性别差异。作为知觉者的女性对女性刺激人物的印象较作为知觉者的男性表现出极端化的特点。 相似文献
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西方心理学者对笔相学家的笔迹分析提出质疑,研究表明需要我们重新考虑笔迹分析的适用性,而其利用因素分析技术对笔迹与人格关系的大量研究发现,笔迹特征与EPQ中的E因素、N因素相关显著。我国古代丰富的笔迹学思想和当代笔相学家的实践经验为我们从心理学角度研究笔迹与人格之间的关系,提供了宝贵的资料,但我们在这一领域运用心理学方法的研究还刚刚起步。目前国内外心理学者在研究取向、笔迹特征选择和研究目的上还存在一定局限,对此加深认识,将会对我们具有重要的借鉴意义。 相似文献
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In the last two decades, a burgeoning literature has begun to clarify the processes underlying personality traits and momentary trait‐relevant behaviour. However, such work has almost exclusively investigated these questions in young adults. During the same period, much has been learned about adult personality trait development but with scant attention to the momentary processes that contribute to development. The current work connects these two topics, testing developmental questions about adult age differences and thus examining how age matters to personality processes. The study examines how four important situation characteristics are experienced in everyday life and how situations covary with Big Five trait‐relevant behaviour (i.e. situation–behaviour contingencies). Two samples were collected (total N = 316), each assessing three age groups: young, middle‐aged, and older adults. Using experience sampling method, participants completed reports four or five times per day across a representative period of daily life. Results suggested age differences in how situations are experienced on average, in the variability around these average situation experiences, and in situation–behaviour contingencies. The results therefore highlight that, across adulthood, age groups experience chronically different situations, differ in how much the situations they experience vary moment to moment, and differ in how much situation experience predicts their enactment of traits. © 2019 European Association of Personality Psychology 相似文献
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为了分析高血压患者在生活满意度以及人格特质方面与健康人群的异同,选取天津市某综合医院高血压患者123例作为研究组,选取同期健康人群130例作为对照组进行调查研究。结果显示,高血压患者生活满意度显著低于对照组,在神经质和掩饰量表得分显著高于对照组;高血压患者的神经质倾向与生活满意度A和B呈显著负相关;神经质低分组的高血压... 相似文献
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目的:探讨医科大学生优秀学业表现的特征人格以及学业成绩性别差异的人格心理学原因。方法:以卡特尔16PF个性测验为测试工具,应用Spearman相关系数对医科大学生人格特质与学业成绩综合得分进行相关分析。结果:医科大学男女生的开放性分别为5.80±0.89和4.47±1.41,差别有统计学显著性(p0.001)。大学生学业成绩的高低和大学生的自律性和稳定性的相关系数分别为0.271和0.263。结论:医科男女大学生学业成绩差异主要与其开放性大小有关,大学生在校期间学业成绩分值的高低与人格特质中的自律性和稳定性大小成正比,提示加强大学生自律性和稳定性的训练有助于塑造大学生良好的人格特质。 相似文献
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Personality Trait Change in Adulthood 总被引：2，自引：0，他引：2
ABSTRACT— Recent longitudinal and cross-sectional aging research has shown that personality traits continue to change in adulthood. In this article, we review the evidence for mean-level change in personality traits, as well as for individual differences in change across the life span. In terms of mean-level change, people show increased self-confidence, warmth, self-control, and emotional stability with age. These changes predominate in young adulthood (age 20–40). Moreover, mean-level change in personality traits occurs in middle and old age, showing that personality traits can change at any age. In terms of individual differences in personality change, people demonstrate unique patterns of development at all stages of the life course, and these patterns appear to be the result of specific life experiences that pertain to a person's stage of life. 相似文献
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Sheila N. Matoti 《Journal of Psychology in Africa》2013,23(4):385-387
This case study explored pre-service science students’ approaches to studying and learning. The participants were 65 undergraduate students (females?=?47%; age range 18 to 25 years) at a university of technology in South Africa. Students’ preferences for deep or surface learning were evaluated using the Revised Two-Factor Study Process Questionnaire (Biggs, Kember & Leung, 2001). Data were analysed to contrast learning motive and strategy by year of university placement. The difference in the use of deep as compared to surface motives was higher among students with senior level placement (third years) than their peers with junior placement (second years). Deep motives may be more serviceable with the more rigorous learning expected with senior level education placement. 相似文献