To synthesize studies that use structural equation modeling (SEM), researchers usually use Pearson correlations (univariate r), Fisher z scores (univariate z), or generalized least squares (GLS) to combine the correlation matrices. The pooled correlation matrix is then analyzed by the use of SEM. Questionable inferences may occur for these ad hoc…

Collaborative virtual environments (CVEs) hold great potential for people with autism. An exploratory empirical study was conducted to determine if children and youth with autism could understand basic emotions as represented by a humanoid avatar. Thirty-four participants (ages 7.8-16 years) reported to have autism interacted with a software…

A common criticism of merit-pay plans is that they fail to systematically target rewards to the most effective teachers. This study presents new evidence on this issue by evaluating data from Tennessee's Career Ladder Evaluation System and the Project STAR class-size experiment. Because the students and teachers participating in the experiment…

Five studies investigated (a) children's ability to use the dependent and independent probabilities of events to make causal inferences and (b) the interaction between such inferences and domain-specific knowledge. In Experiment 1, preschoolers used patterns of dependence and independence to make accurate causal inferences in the domains of…

It has been suggested that predictive and bridging inferences are generated at different levels of text representation: predictive inferences at a reader's situation model and bridging inferences at a reader's propositional textbase (Fincher-Kiefer, 1993, 1996; McDaniel, Schmalhofer, & Keefe, 2001; Schmalhofer, McDaniel, & Keefe, 2002). Recently,…

Although some types of inferences are mandatory for readers, predictive inferences (inferences for what will happen next) are generally considered elaborative or optional. Three experiments measuring probe word lexical decision latencies produced evidence for the online generation of predictive inferences during narrative text comprehension.…

A theory of how readers monitor concerns of characters and make causal inferences during reading is presented. The focus is on the reader's understanding of what characters do when goals either succeed or fail. Knowledge of goal processes enable coherent understanding to be achieved when characters change goal plans and pursue new courses of…

There is an increasing use of Markov chain Monte Carlo (MCMC) algorithms for fitting statistical models in psychometrics, especially in situations where the traditional estimation techniques are very difficult to apply. One of the disadvantages of using an MCMC algorithm is that it is not straightforward to determine the convergence of the…

Young children are readily able to use known labels to constrain hypotheses about the meanings of new words under conditions of referential ambiguity. At issue is the kind of information children use to constrain such hypotheses. According to one theory, children take into account the speaker's intention when solving a referential puzzle. In the…

Students in statistics service courses are frequently exposed to dogmatic approaches for evaluating the role of randomization in statistical designs, and inferential data analysis in experimental, observational and survey studies. In order to provide an overview for understanding the inference process, in this work some key statistical concepts in…

This article discusses the waning interests on research-based models. Some experts and program developers say "research proven" programs are getting a smaller and smaller share of the pie under the 7-year-old initiative now called the Comprehensive School Reform program, as schools opt instead for home-grown and commercial programs with weaker…

A growing body of research confirms the long-held belief of parents, school administrators, and policy makers that teachers are the key component to a good education and that there is substantial variation in teacher quality. This research differs fundamentally from prior work on teachers by focusing directly on differences in student learning…

Is the United States in danger of losing its competitive edge in science and technology (S&T)? This concern has been raised repeatedly since the end of the Cold War, most recently in a wave of reports in the mid-2000s suggesting that globalization and the growing strength of other nations in S&T, coupled with inadequate U.S. investments in…

Evidence-based practice (EBP) refers to clinical decisions as a result of the careful integration of research evidence and student needs. Legal mandates such as No Child Left Behind require teachers to employ evidence-based practices in their classrooms, yet teachers receive little guidance regarding how to determine which practices are…

Despite technological advancements intended to enhance teaching and learning in the 21st century, numerous teacher and school factors continue to impede quality classroom technology use. Determining the effectiveness of educational technology is challenging and requires a detailed understanding of multifaceted, complex, contextual relationships.…