Education policy makers must make decisions under uncertainty. Thus, how they think about risks has important implications for resource allocation, interventions, innovation, and the information that is provided to the public. In this policy brief we illustrate how the standard of evidence for making decisions can be quite inconsistently applied,…

In a mixed-methods study on poverty in Germany, we conducted qualitative interviews and collected quantitative data on ego-centered networks using a name-generator approach and a single set of respondents. Based on the qualitative data, we first developed a typology of negative ties and then evaluated which of these ties the name generator (on…

This article analyses intergenerational research encounters when collaborating with children. It contemplates the possibilities of applying participatory research methods in situations where the research agenda and main research methods have been decided before contacting the research subjects, as these must be explained in the ethical statement…

Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…

The STEM.LD program was funded by a 2020 mid-phase Education Innovation and Research (EIR) grant. It sought to improve student outcomes by strengthening professional learning for teachers and school leaders, expanding STEM curricular resources, and increasing student engagement in rigorous coursework and extracurricular opportunities. A randomized…

Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data…

This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…

Extensive debate of potentially common, yet questionable research practices that lead to biased findings within social and health sciences has emerged over the last decade. These challenges likely apply to educational psychology, though the field has been slow to address them. This article discusses current research norms, strategic solutions…

Research assistants play a very instrumental role in conducting researches at the field level. In their line of duty, they encounter a myriad of challenges in hardship areas that include informal settlements, arid and semi-arid areas, etc. This has posed a challenge to research assistants who are not assertive and thus soft hearted; as compared to…

The world of research has much knowledge to benefit practitioners, but it can be hard for practitioners to know where and how to sift through the research base to find the most relevant information for their needs. By translating problems of practice into the narrower types of questions that research can answer, educators can locate relevant…

Periodic changes in occupational classifications make it difficult to obtain consistent measures of social class over time, potentially jeopardizing research on class-based trends. The severity of this problem depends, in part, on the measurement strategies used to address those changes. The authors propose that when a sample has been coded partly…

As the international large-scale assessments (ILSAs) become more popular, policy makers and education practitioners are interested in collecting as much student background information as possible to better understand the learning context of their students. To collect such abundant information, administrators need to develop a lot of questions.…

This methods case study describes the design and implementation of a digital, multimodal journal from a yearlong program evaluation using self-study methods. The program evaluation focused on the author's transition of practice from elementary teacher to teacher educator and aimed to improve the author's practice. The design of the digital,…

Quantitative social scientists have adopted the positivist epistemology and methodology of natural sciences, seeking objectivity, generalisability, and neutrality. However, in social sciences -- unlike in natural sciences -- humans are both the investigators and the object of investigation, leading to intricate interconnections between researchers…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…