Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…

Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…

Growth mixture modeling is generally used for two purposes: (1) to identify mixtures of normal subgroups and (2) to approximate oddly shaped distributions by a mixture of normal components. Often in applied research this methodology is applied to both of these situations indistinctly: using the same fit statistics and likelihood ratio tests. This…

In many ways, evaluating informants based on their features is a problem of induction: Children rely on the assumption that observable informant characteristics (e.g., traits, behaviors, social categories) will predict unobservable characteristics (e.g., future behavior, knowledge states, intentions). Yet to make sensible inferences, children must…

The nature of knowledge in vocational education is often described in dichotomies such as theory versus practice or general versus specific. Although different scholars now acknowledge that vocational knowledge is more than putting bits of theoretical and practical knowledge together, it is still unclear how vocational knowledge should be…

Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method…

Preschoolers use both direct observation of statistical data and informant testimony to learn causal relationships. Can children integrate information from these sources, especially when source reliability is uncertain? We investigate how children handle a conflict between what they hear and what they see. In Experiment 1, 4-year-olds were…

Readers with autism (ASD), poor comprehension (PC), and typical development (TD) took part in three reading experiments requiring the production of inferences. In Experiments 1 and 2 reading times for target phrases--placed immediately after text implicitly indicating the emotion of a protagonist or after a number of filler sentences,…

Reasoning and inference are well-studied aspects of basic cognition that have been explained as statistically optimal Bayesian inference. Using a simplified experimental design, we conducted quantitative comparisons between Bayesian inference and human inference at the level of individuals. In 3 experiments, with more than 13,000 participants, we…

We report 3 experiments investigating novel sorts of inference, such as: A or B or both. Therefore, possibly (A and B). Where the contents were sensible assertions, for example, "Space tourism will achieve widespread popularity in the next 50 years or advances in material science will lead to the development of antigravity materials in the…

Daniel Koretz is the Henry Lee Shattuck Professor of Education at the Harvard Graduate School of Education. His research focuses on educational assessment and policy, particularly the effects of high-stakes testing on educational practice and the validity of score gains. He is the author of "Measuring Up: What Educational Testing Really Tells…

We examined whether the distinction between generic and nongeneric language provides toddlers with a rapid and efficient means to learn about kinds. In Experiment 1, we examined 30-month-olds' willingness to extend atypical properties to members of an unfamiliar category when the properties were introduced in 1 of 3 ways: (a) using a generic noun…

To comprehend a text, one needs to understand the relationship of various elements in it. The skill that helps connect the non-textual components to the textual ones is making inferences. This research aims to reveal different types of inferences made by the students with German-language proficiency of level B1. A qualitative research approach was…

Evaluation of student written work during summative assessments is an important task for instructors at all educational levels. Nevertheless, few research studies exist that provide insights into how different instructors approach this task. In this study, we characterised variation in chemistry instructors' approaches to the evaluation and…

This study examines blending of classroom- and family-based supports within a Multi-Tiered System of Support (MTSS). The present study focuses on a sample of Head Start children who are both experiencing poverty and scoring below early language and literacy screening benchmarks. This study begins to explore which combination of resources are the…