Many ethnographic researchers have raised concerns over the potential impacts that the institutionalization of ethics review boards can have on social science research, especially within healthcare settings. However, few articles to-date have documented how these norms and practices play out in actuality. This paper, therefore, uses…

Considerations related to generalization of a study's findings are often interconnected to researchers' judgements regarding the 'quality' of the methodology and methodological pluralism. Too often, researchers consider generalization as only possible with respect to quantitative studies with large numbers of randomly selected participants…

Theory is a core component in the teaching of many social sciences, including criminology-related programmes in higher education, but both students and lecturers can find it challenging. Given the growing popularity of criminology programmes, scholarship on the teaching and learning of criminological theory is increasingly important. This article…

Rating scales are ubiquitous in the social sciences, yet may present practical difficulties when response formats change over time or vary across surveys. To allow researchers to pool rating data across alternative question formats, the article provides a generalization of the ordered logit model that accommodates multiple scale formats in the…

This is a practical guide for applying the Impact Threshold for a Confounding Variable and the Robustness of Inference to Replacement using the konfound packages in Stata and R as well as the R-shiny app. It includes motivation worked examples, and tutorials.

Emerging social work academics and researchers are warned about not falling victim to predatory publishers and journals; however, predatory conferences are increasingly common and present a real threat to research integrity. Anyone, regardless of age or experience, can fall victim to predatory or "fake conferences." Their duplicitous and…

Central Asian researchers are underrepresented in the global research production in social sciences, resulting in a limited Central Asian perspective on many social issues. To stimulate the production of local knowledge, it is important to develop strong research cultures, including knowledge of ethical practices in research with human…

Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…

Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…

Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…

Since becoming independent from the Soviet bloc in the early 1990s, the Central Asian countries of Kazakhstan, Kyrgyzstan and Uzbekistan have established strategic priorities focused on the globalization and internationalization of higher education. These have emphasized the modernization of university systems with a focus on research to produce…

The methodological controversy surrounding ordinal outcome data has posed a distinct challenge to the conceptualization, design, and conduct of research in the social and behavioral sciences for more than 75 years. Accordingly, this study sought to supply a comprehensive and multidisciplinary perspective of the debate and in so doing lay the…

It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize…

Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing…

A thorough literature search is a key feature of scoping reviews. We investigated the search practices used by social science researchers as reported in their scoping reviews. We collected scoping reviews published between 2015 and 2021 from Social Science Citation Index. In the 2484 included studies, we observed a 58% average annual increase in…