Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling…

Standard models for network meta-analysis simultaneously estimate multiple relative treatment effects. In practice, after estimation, these multiple estimates usually pass through a formal or informal selection procedure, eg, when researchers draw conclusions about the effects of the best performing treatment in the network. In this paper, we…

Qualitative fieldwork research on sensitive topics sometimes requires that interviewees be granted confidentiality and anonymity. When qualitative researchers later publish their findings, they must ensure that any statements obtained during fieldwork interviews cannot be traced back to the interviewees. Given these protections to interviewees,…

This article describes methodological and ethical issues?associated with examining?discourses of?'normality'?in the context of?the normalisation of?HIV and relationships. It considers?how sensitivity was anticipated, encountered and managed in the recruitment of participants and during research interviews, discussing the implications of these in…

Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…

This paper contrasts mixed methods design with strategic research design. Mixed methods research both advocates for itself as always better than singular research methods, while also seemingly allowing a wide variety of researchers to count their work under the very large umbrella of mixed methods. We argue for strategic research design as a set…

There is strong evidence that children who attend high-quality pre-kindergarten (pre-K) programs learn skills that benefit them in school and life. The price tag of most private programs puts them out of reach for some families, however. In response, many states and school districts fund pre-K programs to expand opportunities for their youngest…

States and localities throughout the United States are expanding their investments in pre-kindergarten (pre-K) programs. Although spending on publicly funded pre-K programs is well documented, relatively less is known about the true cost to deliver the programs, especially considering varying quality standards and accounting for the resources used…

COVID-19 immediately and radically necessitated changes in the way we worked as social researchers; not only in terms of fieldwork, but also in terms of collaboration. In this paper, we outline the rationale, processes, and potential of a collective of 14 research teams both inside and outside of academia working together across the UK to…

Although several entrepreneurship education programs (EEPs) have been created for faculty, research examining women faculty experiences participating in EEPs is minimal and particularly negligible in the context of their academic research. To address this gap, we examine women faculty's perceptions and experiences toward EEPs in the context of…

Qualitative comparative analysis (QCA) is an influential methodological approach motivated by set theory and boolean logic. QCA proponents have developed algorithms to analyze quantitative data, in a bid to uncover necessary and sufficient conditions where causal relationships are complex, conditional, or asymmetric. This article uses computer…

One-to-one lessons based on the master-apprentice model are recognised in research and practice as an indispensable foundation for the training of professional musicians including singers. Given its primary importance to musician training, it is essential that researchers of this pedagogical model adopt methodologies and methods well-suited to…

We explored the possibility of publication bias in the sleep and explicit motor sequence learning literature by applying precision effect test (PET) and precision effect test with standard errors (PEESE) weighted regression analyses to the 88 effect sizes from a recent comprehensive literature review (Pan & Rickard, 2015). Basic PET analysis…

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.…