Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying time points, assuming linear growth. This article describes how to fit 4 popular nonlinear LGMs (polynomial, shape-factor, piecewise, and structured latent curve) with truly individually varying time points, via a definition variable approach. The extension is straightforward for certain nonlinear LGMs (e.g., polynomial and structured latent curve) but in the case of shape-factor LGMs requires a reexpression of the model, and in the case of piecewise LGMs requires introduction of a general framework for imparting piecewise structure, along with tools for its automation. All 4 nonlinear LGMs with individually varying time scores are demonstrated using an empirical example on infant weight, and software syntax is provided. The discussion highlights some advantages of modeling nonlinear growth within structural equation versus multilevel frameworks, when time scores individually vary.     

Rethinking the World Bank Agenda for Chinese Higher Education Reform

This article explores the way in which the World Bank has worked effectively with China in higher education. It investigates whether or not the cooperation between the two has changed in line with their changing relationship. More specifically, it discusses whether the World Bank’s China agenda reflects the reform package of socio-institutional neoliberalism which the World Bank has tended to promote worldwide in the era of the Post-Washington Consensus, and how China’s higher education reform has been influenced by the agenda. The article argues that as China is transferring its role from that of a recipient country to that of a donor country, it is increasingly important to position itself as a global player. Other than mastering the game rules of the international community, China should also expand its influence within and through these major international organizations.     

Enhancing Overseas Chinese Graduate Employability: The Case of Chinese Graduates with Finnish Academic Qualifications

This paper explores ways to enhance overseas Chinese graduate employability by taking Finnish-educated Chinese students/graduates as an example. In so doing, it understands that graduate employability development is a joint effort of multiple stakeholders including students, graduates, academics, program coordinators, employers, and policymakers. Accordingly, it provides arguments and suggestions for how to enhance the employability of these graduates in terms of the labor market context, employers’ beliefs and actions, the responsibilities of higher education institutions, and student/graduate commitment. It also points out two major challenges faced by overseas Chinese graduates as well as their educational providers, which are linked respectively to gaps between what graduates acquire in higher education and what is required in the labor market, as well as gaps from the employers’ perspective: areas where employers need to understand more about universities and catch up with new ideas generated by them.     

Success,failure and emotions: examining the relationship between performance feedback and emotions in diagnostic reasoning

Students experience a variety of emotions following achievement outcomes which stand to influence how they learn and perform in academic settings. However, little is known about the link between student outcome emotions and dimensions of performance feedback in computer-based learning environments (CBLEs). Understanding the dynamics of this relationship is particularly important for high-stakes, competency-based domains such as medical education. In this study, we examined the relationship between medical students’ (N = 30) outcome emotion profiles and their performance on a diagnostic reasoning task in the CBLE, BioWorld. We found that participants could be organized into distinct emotion groups using k-means cluster analyses based on their self-reported outcome emotion profiles: an expected positive emotion cluster and negative emotion cluster and an unexpected low intensity emotion cluster. A clear relationship was found between emotion clusters and diagnostic performance such that participants classified to the positive emotion cluster had the highest performance; those classified to the negative emotion cluster had the lowest performance; and those classified to the low intensity emotion cluster had performance outcomes that fell between the other two. Our discussion focuses on the theoretical implications of emotion classification and design recommendations for learning environments and emotional interventions in computer-based contexts.     

The effect of language specific factors on early written composition: the role of spelling,oral language and text generation skills in a shallow orthography

Spelling skills have been identified as one of the major barriers to written text production in young English writers. By contrast oral language skills and text generation have been found to be less influential in the texts produced by beginning writers. To date, our understanding of the role of spelling skills in transparent orthographies is limited. The current study addressed this gap by examining the contribution of spelling, oral language and text generation skills in written text production in Italian beginner writers. Eighty-three children aged 7–8 years participated in the study. Spelling, lexical retrieval, receptive grammar, and written sentence generation and reformulation skills were assessed and children were asked to write a text on a set topic. A factor analysis revealed that the children’s written text production was captured by three factors: productivity, complexity and accuracy. In contrast to results from children learning to write in opaque orthographies, such as English, this study showed that receptive grammar and written sentence generation skills accounted for significant variance in measures of productivity, complexity and accuracy in Italian children’s written text production. Spelling skills contributed to text accuracy and quality and explained more variance than receptive grammar in microstructural accuracy. By contrast, oral grammatical skills explained more variance in text quality than spelling. The current study shows the differential impact of language systems, such as Italian, on written text production. Implications for assessment and instruction are outlined.     

Gender Differences in Turkish Early Childhood Teachers’ Job Satisfaction,Job Burnout and Organizational Cynicism

This study compares the job satisfaction, job burnout and organizational cynicism of 233 early childhood teachers, 141 female and 92 male, with special attention to gender differences. Data were collected using a personal information form, Job Satisfaction Scale, Maslach Burnout Inventory-Educators Survey and Organizational Cynicism Scale, and the data were analyzed via independent-samples t-testing and one-way between-groups MANOVA. Significant differences between the male and female teachers were found across all three of the variables of interest, with the males having a higher level of organizational cynicism and lower mean job satisfaction. Also, males’ job burnout was higher than females’. However, the magnitude of these differences was medium only in the case of job satisfaction, with all other effect sizes being small.