An alternative to null hypothesis significance testing is presented and discussed. This approach, referred to as observation-oriented modeling, is centered on model building in an effort to explicate the structures and processes believed to generate a set of observations. In terms of analysis, this novel approach complements traditional methods…

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…

This commentary is a response to those of Hall (2016) and Winebrenner (2016), which in turn were responses to the article the authors wrote on modality preferences and learning styles (Lodge, Hansen, & Cottrell, 2016). There are several key points the authors wish to address in this reply. Most importantly, and aligned with the aims and focus…

It is well known that students of inferential statistics find the hypothetical, probabilistic reasoning used in hypothesis tests difficult to understand. Consequently, they will also have difficulties in understanding "p"-values. It is not unusual for these students to hold misconceptions about "p"-values that are difficult to…

Fisher randomization tests for Neyman's null hypothesis of no average treatment effects are considered in a finite population setting associated with completely randomized experiments with more than two treatments. The consequences of using the F statistic to conduct such a test are examined both theoretically and computationally, and it is argued…

Natural Language Processing (NLP) platforms have recently reported a higher adoption rate of Artificial Intelligence (AI) applications. The purpose of this research is to examine the relationship between NLP and AI in the application of linguistic tasks related to morphology, parsing, and semantics. To achieve this objective, a theoretical…

This paper critically explores how survey and routinely collected data could aid in assessing the generalisability of public health evidence. We propose developing approaches that could be employed in understanding the relevance of public health evidence, and investigate ways of producing meta-analytic estimates tailored to reflect local…

The ability to reason inferentially is increasingly important in today's society. It is hypothesized here that engaging primary school students in informal statistical reasoning (ISI), defined as making generalizations without the use of formal statistical tests, will help them acquire the foundations for inferential and statistical thinking.…

Children who have more opportunities to engage in discourse that reflects the use of inferential language have better outcomes than children who have limited exposure to the use of inferential language. Many interventions that aim to improve children's language and comprehension however continue to focus more on literal language. Many language…

This study examined whether vocabulary knowledge is sufficient for second language (L2) word-meaning inferencing. Specifically, it investigated the role of the learner's sensitivity to a word's morphological structure (referred to 'morphological awareness' or 'MA' hereafter) as additional support that enhances multi-character word-meaning…

This study aimed to determine the differences in science process skills in each class in the Physics Education Study Program. This research was a quantitative study with a comparison design. The sample was 108 students with details of 54 control class students who used conventional guidebooks, while the control class totaling 54 students used a…

We report the results of a study in which we asked 94 mathematicians to evaluate whether five arguments qualified as proofs. We found that mathematicians disagreed as to whether a visual argument and a computer-assisted argument qualified as proofs, but they viewed these proofs as atypical. The mathematicians were also aware that many other…

Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…

Purpose: Speech-evoked neurophysiological responses are often collected to answer clinically and theoretically driven questions concerning speech and language processing. Here, we highlight the practical application of machine learning (ML)-based approaches to analyzing speech-evoked neurophysiological responses. Method: Two categories of ML-based…

An enduring question is whether language learning aptitude is a stable trait or is one influenced by experience, such as living with two languages. We investigated aptitude in bilinguals and treated their bilingual experience as an aggregate of variables, focusing on how individual differences in (a) language experience variables of proficiency,…