Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration was investigated via Monte Carlo simulations. Data were generated based on FMM models with (1) a zero covariate effect, (2) a covariate effect on the latent class variable, and (3) covariate effects on both the latent class variable and the factor. For each population model, different analysis models that excluded or misspecified covariate effects were fitted. Results highlighted the importance of including proper covariates in measurement invariance testing and evidenced the utility of a model comparison approach in searching for the correct specification of covariate effects and the level of measurement invariance. This approach was demonstrated using an empirical data set. Implications for methodological and applied research are discussed.     

Coaching Teachers to Improve Students’ School Readiness Skills: Indirect Effects of Teacher–Student Interaction

This study examined indirect associations of MyTeachingPartner coaching with pre-K students’ (N = 1,570; 73% low income) school readiness, via improvements of teachers’ (N = 393; 47% Black; 41% Head Start) classroom interactions. Data were collected across 2008–2009 and 2009–2010 in 10 urban sites across the eastern United States. The number of completed coaching cycles was examined as a predictor of teacher–student interactions, as were direct or indirect associations with students’ literacy, receptive language, and working memory skills. Significant findings indicated that teachers engaged in more feedback cycles showed greater improvements in instructional interactions, in turn predicting greater increases in students’ early literacy and working memory. Results confirm the theory of change for coaching and an ecological-developmental conceptualization of school readiness.     

Examining secondary school students’ views of model evaluation through an integrated framework of personal epistemology

The aim of the study was to investigate students’ views of model evaluation through the lens of personal epistemology. We developed an integrated analytical framework by combining a developmental framework, including absolutist, multiplist, and evaluatist, with a multi-dimensional framework, including limits of knowing, certainty of knowing, and criteria of knowing. Furthermore, we examined the potential influence of the question contexts and the students’ grade levels. A total of 188 secondary school students were surveyed. Students answered two sets of model evaluation questions based on two scientific contexts. After reading the information about the two models, the students had to choose from three epistemic assumptions and then provide written justifications explaining their choice of assumptions. Quantitative and qualitative analyses were conducted for the multiple-choice questions and the written responses. In both contexts there were higher percentages of 11th-grade students choosing the evaluatist assumptions than the eighth-grade students. For students choosing multiplist and evaluatist assumptions, the 11th-grade students were more likely than the eighth-grade students to think in terms of pragmatic and evidential criteria as the criteria of knowing. Different contexts of the questions evoked different views of model evaluation particularly regarding the limits of knowing. Four additional categories of epistemic levels also emerged from the data. This study provides a new framework for understanding students’ thinking about model evaluation. Implications and suggestions for future research are provided.

     

An Experienced Science Teacher’s Metavisualization in the Case of the Complex System of Carbon Cycling

Research in Science Education - Science teachers use a large number of visual representations and models in science classes to guide students to understand complex phenomena and to learn to conduct...     

Motivation theory in the school context: differences in preservice and practicing teachers’ experience,opinion, and knowledge

European Journal of Psychology of Education - Preservice teachers should learn about motivation theory during their university studies in order to be able to motivate their students in their future...     

IRM--"企业再造"之物质基础

"企业再造"是90年代一场新的管理革命.笔者认为这场革命的物质基础是信息资源管理(IRM),本文从IRM打破了传统的工业经济的组织分工理论、传统的企业市场经营环境、旧的企业运营规则三方面入手分析了其原因,并提出了对我国企业的启示.     

Dynamic dictionary updating

A method for updating the dictionary in a dynamic information retrieval system is presented. It is shown that as a collection changes through addition and deletion of documents, the appropriate set of index terms may be determined without complete periodic regeneration of the dictionary. Results are presented for experiments involving a complete change in collection membership, with the dynamic dictionary updating methods shown to be effective.