Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

There is accumulating evidence that readers continually evaluate the consistency, congruence, and coherence of text by processes of validation. Validation is initiated immediately on stimulus presentation, may proceed nonstrategically, and serves as a criterion for representational updating. However, validation exhibits a variety of deficiencies.…

Ethics review of research involving humans has become something of an institution in recent years. It is intended to protect participants from harm and, to that end, follows rigorous standards. Given recent changes in research methodologies utilized in medical research, it may be that ethics review for some kinds of studies needs to be reexamined.…

Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…

Collecting data for cross-cultural research is time consuming and expensive. We report on techniques for efficient and effective cross-cultural data collection, drawn from 18 cross-cultural studies we conducted in 22 countries. We discuss research design, site selection and collaboration building, ethical review, cross-site protocol design, data…

The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…

This protocol guided the review of research that informs the What Works Clearinghouse (WWC) practice guide entitled "Strategies for Postsecondary Students in Developmental Education -- A Practice Guide for College and University Administrators, Advisors, and Faculty." This protocol was used in conjunction with the "WWC Procedures…

This article presents the MERITS Plus model, a conceptual framework developed during qualitative research into the process of academic transition and the impact of educational choices upon learner identity. The article considers some of the methodological challenges faced by qualitative researchers, and how effective the use of a conceptual…

The process of pairing a name with representations or peculiar properties permeates many mathematics classroom situations. In school, many practices go under the label 'definition', even though they can be very different from what mathematicians conceive as a formal definition, and in fact there are substantial differences between these different…

The puzzle of how to connect research with policy and practice is a vital area for scientific inquiry. The William T. Grant Foundation believes that attempts to improve the use of research evidence in policy and practice should be subject to rigorous theory building and empirical analysis. The stakes are high for the research community: If we do…

This study investigates the performance of robust maximum likelihood (ML) estimators when fitting and evaluating small sample latent growth models with non-normal missing data. Results showed that the robust ML methods could be used to account for non-normality even when the sample size is very small (e.g., N < 100). Among the robust ML…

Hofmann and Holm's (2019) recent survey on issues of research misconduct with PhD graduates culminated with a notable conclusion by the authors: 'Scientific misconduct seems to be an environmental issue as much as a matter of personal integrity'. Here, we re-emphasise the usefulness of an education-based countermeasure against toxic research…

An increased focus on transparency and replication in science has stimulated reform in research practices and dissemination. As a result, the research culture is changing: the use of preregistration is on the rise, access to data and materials is increasing, and large-scale replication studies are more common. In this article, I discuss two…

There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…

The perspective of people with dementia, particularly late-stage dementia, is often excluded from research, even from methods like Participatory Action Research (PAR), which aim to democratise research. This research note outlines how a PAR project engaged with the perspective of people with late-stage dementia in a residential aged care facility.…