Using Fixed Thresholds with Grouped Data in Structural Equation Modeling

Valuable methods have been developed for incorporating ordinal variables into structural equation models using a latent response variable formulation. However, some model parameters, such as the means and variances of latent factors, can be quite difficult to interpret because the latent response variables have an arbitrary metric. This limitation can be particularly problematic in growth models, where the means and variances of the latent growth parameters typically have important substantive meaning when continuous measures are used. However, these methods are often applied to grouped data, where the ordered categories actually represent an interval-level variable that has been measured on an ordinal scale for convenience. The method illustrated in this article shows how category threshold values can be incorporated into the model so that interpretation is more meaningful, with particular emphasis given to the application of this technique with latent growth models.     

THE DYNAMICS OF LEARNING SCIENCE IN EVERYDAY CONTEXTS: A CASE STUDY OF EVERYDAY SCIENCE CLASS IN KOREA

With recognition of the importance of scientific literacy for the nation and yet the increasing students’ disinterest in science through school science curriculum, the Korea Science Foundation launched an innovative program called ‘Everyday Science Class (ESC)’ in partnership with universities and local government offices in 2003. In this work, we introduce the structure and dynamics of the ESC program in K-district through examining (1) how everyday contexts helped learners’ perceptions and attitudes toward science and (2) how the dynamics of learning environments effected learners’ learning process. We employed interviews and video recording of classes for data collection. To analyze the data, we used the process of thematic coding to understand the outcomes and effects of ESC program. The research findings showed that everyday context and a unique environment of learning with parents in the ESC program could bring forth learners’ understandings on the connection between science and their everyday lives and positive attitudes toward science learning. We also found that there were certain issues to be taken into account in terms of children’s cognitive development for further development.     

The Impact of Quality Matters Professional Development on Teaching across Delivery Formats

ABSTRACT

This study explored the impact of professional development workshops for online course design on faculty’s pedagogical practices in online, face-to-face (f2f), and blended instructional modes. It specifically focused on trainings offered by the Quality Matters (QM) organization on a rubric for assessing quality in online course development. A mixed-methods analysis of survey data collected from 2,148 participants in QM workshops over a three-year period (2012–2015) demonstrated that, across all three teaching modes, participants revised learning objectives, improved course alignment, and paid greater attention to communication with students. Additional benefits from participating in QM training related to specific modalities. Common online and blended impacts included changes in assessment practices as well as in modifying course materials to be more compliant with accessibility standards. In f2f settings, frequent changes involved redesigning learning activities to increase learner-learner interaction.     

Associations between school absence and academic achievement: Do socioeconomics matter?

This study examined the extent to which the association between increased student absence and lower achievement outcomes varied by student and school‐level socioeconomic characteristics. Analyses were based on the enrolment, absence and achievement records of 89,365 Year 5, 7 and 9 students attending government schools in Western Australian between 2008 and 2012. Multivariate multi‐level modelling methods were used to estimate numeracy, writing and reading outcomes based on school absence, and interactions between levels of absence and school socioeconomic index (SEI), prior achievement, gender, ethnicity, language background, parent education and occupation status. While the effects of absence on achievement were greater for previously high‐achieving students, there were few significant interactions between absence and any of the socioeconomic measures on achievement outcomes. The results of first‐difference regression models indicated that the negative effect of an increase in absence was marginally larger for students attending more advantaged schools, though most effects were very small. While students from disadvantaged schools have, on average, more absences than their advantaged peers, there is very little evidence to suggest that the effects of absence are greater for those attending lower‐SEI schools. School attendance should therefore be a priority for all schools, and not just those with high rates of absence or low average achievement.