The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…

In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…

Pseudocontingencies are inferences about correlations in the environment that are formed on the basis of statistical regularities like skewed base rates or varying base rates across environmental contexts. Previous research has demonstrated that pseudocontingencies provide a pervasive mechanism of inductive inference in numerous social judgment…

The goal of this study is to determine the impact of Compressed Natural Gas (CNG) crisis on Student's Academic Life of Karachi Pakistan. This research helps in observing the behavior of students and their educational progress includes depression and anxiety, rate of absenteeism and undesirable results in exams threatens due to CNG crisis and…

It is commonly assumed that belief-based reasoning is fast and automatic, whereas rule-based reasoning is slower and more effortful. Dual-Process theories of reasoning rely on this speed-asymmetry explanation to account for a number of reasoning phenomena, such as base-rate neglect and belief-bias. The goal of the current study was to test this…

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…

Two experiments are reported in which people resolve references to sets of entities (e.g., lies) that have previously been introduced either explicitly into a text ("the lies") or implicitly via a cognate verb (a form of the verb "to lie"). Previous work has show that pronominal references to such entities were judged as…

Depression is associated with biased interpretations and beliefs that are resistant to change. This kind of cognitive rigidity may depend on two distinct factors--a reduced ability for processing information that conflicts with these interpretations and beliefs and a reduced ability for generating alternative representations. Although depressive…

This article argues that multisentence discourses give rise to Gricean quantity implicatures that go beyond the mere sum of the implicatures of the sentences they consist of. We formulate two theories of discourse-level implicature: the null theory, which only has a mechanism for sentence-level implicature and does not rely on any specific notion…

The use of statistics in second language acquisition (SLA) research has increased over the past 30-40 years and continues to increase in both complexity and sophistication (Gass, 2009; Loewen & Gass, 2009). The increased use of statistical procedures has drawn attention to the current state of statistical literacy among second language (L2)…

The teleological bias, a major learning obstacle, involves explaining biological phenomena in terms of purposes and goals. To probe the teleological bias, researchers have used acceptance judgement tasks and preference judgement tasks. In the present study, such tasks were used with German high school students (N = 353) for 10 phenomena from human…

The study compared the use of the lexical glossing and inferencing strategies that impact toward the students' reading comprehension. The objective of the study was to find out the effective strategy to use for enhancing the students' reading comprehension. The population of the study was 40 Informatics Systems students of Potensi Utama…

In discourse processing, speakers collaborate toward a shared mental model by establishing and recruiting prominence relations between different discourse referents. In this article we investigate to what extent the possibility to infer a referent's existence from preceding context (as indicated by the referent's information status as inferred or…