青少年特质焦虑与健全人格的培养

青少年特质焦虑与人格健全问题是人们普遍关注的重要问题,特质焦虑已成为影响青少年人格健全的主要因素之一,它作为一种长期性的人格倾向会给青少年人格发展带来困扰,易形成不良人格特征,这种人格特征将长期影响青少年人格的健全发展,不利于青少年的健康成长.因此,理解特质焦虑与人格健全发展之间的交互作用,在培养青少年健全人格的过程中,消除特质焦虑,形成人格教育的合力,是青少年健康成长的必然选择.     

A STUDY OF STUDENTS＇ANXIETYON THE LISTENING PERFORMANCE IN CET BAND IV

This paper mainly focuses on investigating to what extent and how listening comprehension was affected by students‘anxiety, which was considered to be one of the factors to which EFL/ESL teachers must pay attention. The author of the thesis used a questionnaire on trait anxiety and one on state anxiety to look into students‘anxiety levels exhibited in the listening part of the College English Band IV Test. 52 subjects from the Inner Mongolia (Polytechn:c) University of Technology were involved in the investigation. Data collected from the investigation were statistically analyzed using SPSS 10. 0. The research findings indicate that anxiety is a factor to affect the students’ listening performances, that means the reduction of trait anxiety levels may facilitate listening performances of the students. Visualization is a promising technique for treatment.     

社会化经历与本土文化对领导特质形成的影响研究

在研究范式上过于依赖基于问卷测量的统计分析验证,在研究内容上忽视个人社会化经历和文化因素对于领导的影响,是造成现有领导特质理论"片段化"特征明显、特质形成过程不明的主要原因。采用案例分析的方法,通过对组织关键事件中领导与客体互动行为的分析来呈现领导者的特质,并从个体社会化经历和本土文化2个视角阐释了领导特质的形成过程;发现个体社会化经历和本土文化是领导特质来源的2个主要路径,弥补了领导特质理论在此方面的不足,为中国本土化领导研究提供了一个新的视角。     

音乐文化的民族性与世界性

对很多人来讲,民间、民族音乐是一个对应民族文化与原生文化环境,既亲近又遥远的精神世界;一个奇异、欢乐、充满天真而又迷人的人天合一、浪漫自由的与生活合一的精神时空;在其简易、不易、变易的历史长河中,实用与审美并存,显示出质朴天真、充满活力的精神特质,千百年来陪伴着各民族同胞在自然之苦的生态环境中挣扎、平衡、和谐、生发;承载着生活与精神的协调,表现着人们的文化心理、民族性格和审美理想;在生活中鼓舞着生存和创造的勇气与力量,也给人们带来圆满的笑声、意趣和希望。     

Complex Latent Variable Modeling in Educational Assessment

Bayesian item response theory models have been widely used in different research fields. They support measuring constructs and modeling relationships between constructs, while accounting for complex test situations (e.g., complex sampling designs, missing data, heterogenous population). Advantages of this flexible modeling framework together with powerful simulation-based estimation techniques are discussed. Furthermore, it is shown how the Bayes factor can be used to test relevant hypotheses in assessment using the College Basic Academic Subjects Examination (CBASE) data.     

Modelling financial satisfaction across life stages: A latent class approach

We explore the determinants of financial satisfaction using a modelling framework which allows the drivers of financial satisfaction to vary across life stages. Given that financial satisfaction is measured as an ordered variable, our modelling approach is based on a latent class ordered probit model with an ordered probit class assignment function. Our analysis of household survey data indicates that four life stages are supported by the data. Our results suggest that such flexibility is important in understanding the drivers of financial satisfaction over the life cycle since there is a substantial amount of parameter heterogeneity across the four classes.     

美华文学中的文化意象初探

北美新华文文学,作为具有特定时空意义和文化内蕴的文学类型,创造出了一系列相互关联、自成体系的意象。这些意象包含有文学和文化两方面的内涵,因而可称作“文学性的文化意象”,此种意象的营造应该是北美新华文文学的重要诗学特征。     

Varieties of political support in emerging democracies: A cross-national analysis

Political support is a multidimensional construct encompassing evaluations of political leaders and institutions (specific support) as well as adherence to basic regime principles (diffuse support). Scholars have traditionally assumed that diffuse and specific support are driven by different forces and evolve largely independently. Prior empirical work, however, has struggled to untangle the two support dimensions and focused predominantly on cross-national differences, ignoring their dynamics. This paper develops an analytical and empirical approach to examine the levels and dynamic interplay of both support dimensions and estimate their determinants, applying it to South American democracies between 1996 and 2015. Contrary to received wisdom, we show that both dimensions are quite volatile and closely linked in this region. In particular, negative economic shocks not only undermine support for government actors, but also fuel democratic disenchantment. Nonetheless, while regime support is rather fickle in South America, it can be ultimately resistant to performance fluctuations.     

Exploring patterns of personal growth initiative and posttraumatic stress: A latent profile analysis

Objective: This study examined the inconsistent relationship found between personal growth initiative (PGI) and posttraumatic stress symptoms (PTSS) by exploring potential subgroups. In addition, after identifying the subgroups, potential predictors of these subgroups were examined. Participants: Participants were 534 undergraduate students who experienced a potentially traumatic event (PTE). Data collection occurred from March 2013 to December 2014. Methods: Because this was a preliminary study, archival data was used. Participants consisted of students who experienced a PTE within the past three years. Results: Latent profile analysis indicated a five-class model as the best-fitting model. Direct exposure and intentionality of the event were significant predictors of class membership; length of time since event and gender did not predict class membership. Conclusions: The current study provides a potential explanation of the inconsistent results between PGI and PTSS and also highlights the importance of acknowledging subgroups when utilizing PGI after a PTE.     

Looking for homogeneous groups of respondents and nonrespondents using latent class analysis

Concerns about decreasing response rates have led to many nonresponse studies. Unfortunately, usually only a limited amount of data is available on nonrespondents. Linking administrative data makes information available on all the sampled units including nonrespondents. Statistics Netherlands has constructed a database in which several administrative records and several surveys are connected. In this explorative study we use this dataset to look for homogenous groups of respondents and nonrespondents in survey research using latent class cluster analysis. Latent class techniques can provide insight into the problem of selective nonresponse and currently under-represented societal groups. We identify four different latent classes in a recent Dutch survey and replicate the findings for the same survey conducted 4 years later. Two of the types of sampled units have above-average response rates and the other two have below-average response rates. We also evaluate various latent class models with other response outcomes to gain insight into the contact and cooperation process.