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…

It has been proposed that infants can form global categories such as animate and inanimate objects (Mandler, 2004). The inductive generalization paradigm was used to examine inferences made by infants about the bodily, motion, and sensory capabilities of people and animals. In Experiment 1, 14-month-old infants generalized bodily and sensory…

When children learn categories, they do not learn isolated facts but rather systems of knowledge. These systems of knowledge are composed of property-property (e.g., things with wings tend to have feathers), property-role (e.g., things with eyes tend to eat), and role-role (e.g., things that eat tend to sleep) correlations. Research has shown that…

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…

The authors present a method that ensures control over the Type I error rate for those who visually analyze the data from response-guided multiple-baseline designs. The method can be seen as a modification of visual analysis methods to incorporate a mechanism to control Type I errors or as a modification of randomization test methods to allow…

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…

The study examines the impact of topic familiarity and passage sight vocabulary on lexical inferencing and retention. Independent variables include (a) a topic familiarity questionnaire, and (b) a passage sight vocabulary test. A repeated-measures design was used with a cross-sectional sample of 35 adult L2 learners of Spanish. Ss read narratives…