This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…

The authors investigate coronavirus disease 2019 (COVID-19) risk factors, suitability of online instruction, politics, and institutions' finances as rationales guiding instructional delivery decisions for fall 2020, after COVID-19's emergence. Contributions include estimating multinomial logit regressions with mode of delivery as a categorical…

The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…

Educational materials focused on spatial data analysis often feature mathematical descriptions of methods and step-by-step instructions of software tools, but infrequently discuss the set of decisions involved in specifying a statistical model. Failing to consider model specification may lead to specification searching, or the process of repeating…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…

Response to intervention (RTI) is increasingly being implemented in schools as a means to identify students with specific learning disabilities (SLD). Despite its wide use, there is limited research regarding school psychologists' graduate preparation in and familiarity with RTI for SLD identification. This study examined how school psychologists'…

Limited research has investigated dissertation methodology choice and the factors that contribute to this choice. Quantitative research is based in mathematics and scientific positivism, and qualitative research is based in constructivism. These underlying philosophical differences posit the question if certain factors predict dissertation…

School leadership is seen as important for both schools and for government and private policy-makers. The relationships between teacher-perceived principal leadership styles, teacher-perceived principal decision-making styles and teacher-perceived job satisfaction in schools in Lampung Province, Indonesia were examined. Data were collected by…

The most common constrain to career progression among youth in Kenya is the inability to make informed career decisions. Majority of high school students suffer from excitement for attaining university degree self-actualization rather than taking up career that enhances development of talents and skills that are job market driven. This study aimed…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

Leveraging a sample of more than 198,000 adult entrepreneurs, both currently involved in the startup of a business or formerly involved in business creation, this study investigates the perceptual, societal impression, economic, and demographic variables that are predictive with an individual's decision to engage in entrepreneurial activity.…

Purpose: The purpose of this study is to examine the relationship of sustainability knowledge to pro-environmental behaviour. A common misperception is that unsustainable behaviours are largely driven by a lack of knowledge of the underlying societal costs and the contributing factors leading to environmental degradation. Such a perception assumes…

Purpose: This study investigated the relative utility of linguistic and nonlinguistic processing speed tasks as predictors of language impairment (LI) in children across 2 time points. Method: Linguistic and nonlinguistic reaction time data, obtained from 131 children (89 children with typical development [TD] and 42 children with LI; 74 boys and…