The early phase of doctoral education is a critical yet under-researched period in PhD programs, when doctoral researchers must solidify their thesis projects prior to embarking on data collection. What makes this time particularly challenging is that new doctoral researchers synthesize their research thinking while they are still learning the…

Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…

This paper synthesises a large dataset on how social research methods and practices have been adapted or designed for use within pandemic conditions and a climate of crisis and uncertainty. The data were generated through two rapid evidence reviews of the methodological literature and in dialogue with social researchers in online knowledge…

The purpose of this study was to investigate the conceptualisation and contextualisation of mixed-methods research within the research methodology paradigm to ascertain the categorisation of mixed methods as a type of research, research design or research approach. The methodology adopted for this paper is qualitative in nature and involves the…

In a book published in 2000, entitled "An Elusive Science: The Troubling History of Education Research," Ellen C. Lagemann traced educational research (ER) in the U.S. from its pre-history--the training of common school teachers in summer schools, high schools, normal schools, female institutes, and later colleges and universities.…

The impact of undergraduate research experiences (UREs) is supported by evidence from physical and life science fields, especially when student-apprentices work in traditional laboratories. Within social sciences specifically, some excellent student outcomes associated with UREs adhere to non-lab-based modalities like course-based research…

Universities are increasingly interested in providing courses that equip students with data science skills and engage experiential learning, particularly in the social sciences. However, these courses can be costly to implement and time-consuming for instructors to develop. This article describes an integrative learning model for teaching…

This study analyses early career researchers' identity positions from a dialogical-self perspective and their experiences when facing significant research events over their career trajectory. An idiographic longitudinal approach, based on the Interpretative Phenomenological Analysis (IPA), and a narrative methodology were used. Five social science…

Humour and comedy have gained increased significance in academic research in recent years. This article examines the importance of humour and comedy as valuable tools in qualitative social science research methodology. It makes the original contribution of utilizing humour and comedy theory, and critical understandings of both their macro and…

Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…

The evaluation of the social impact of research is a critical concern for both the scientific and social communities. This study aims to describe the social impact of scientific research outcomes in the field of Social Sciences in Cuba. Five dimensions of analysis and 16 alternative indicators were utilized, employing altmetric tools and data…

Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power…

This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…

This paper advocates reading philosophy and using its concepts in educational and social science research. The lengthy engagement with the various concepts and conceptual orders of poststructuralism required for post qualitative inquiry exceeds the scope of reading required for a conventional literature review at the beginning of a typical…

Experimental designs in the social sciences have received increasing attention due to their power to produce causal inferences. Nevertheless, experimental research faces limitations, including limited external validity and unrealistic treatments. We propose combining qualitative fieldwork and experimental design iteratively--moving back-and-forth…