The variance-stabilizing Freeman-Tukey double arcsine transform was originally proposed for inference on single proportions. Subsequently, its use has been suggested in the context of meta-analysis of proportions. While some erratic behavior has been observed previously, here we point out and illustrate general issues of monotonicity and…

This study critically examines the biases and methodological shortcomings in studies comparing deaf and hearing populations, demonstrating their implications for both the reliability and ethics of research in deaf education. Upon reviewing the 20 most-cited deaf-hearing comparison studies, we identified recurring fallacies such as the presumption…

The integration of artificial intelligence (AI), and particularly generative AI, into research methods is rapidly transforming both academic and industry marketing research, including both methods practices and education regarding these practices. AI application within methods offers new opportunities for enhancing efficiency, automating…

This research methods Case Study is based on an Exploratory Practice (EP) inquiry that I conducted into peer feedback processes, collaborating with my undergraduate English-language learners as co-researchers. I introduce EP, focusing on its core principles and processes while offering an insider account of how these played out when applied in a…

This case study focuses on a multidecade time-series study of changes in public acceptance of evolution in the United States. Change over time is often a central issue in social science research. There are two kinds of change over time. Time-series studies address change in populations or groups over time. Longitudinal studies address changes in…

Including QR Codes on survey recruitment materials may be one method to reduce burden and encourage participation. The COVID-19 pandemic prompted a resurgence of QR Code use, so it is reasonable to assume they may now also be effective in survey outreach. In this article, we examine response by access mode (QR/URL) to better understand QR Code…

Introduction: Missing data are bound to occur in education intervention research. Reasons vary but always have the consequence of reducing sample sizes and can, under certain conditions, seriously bias estimated intervention effects. A wide array of methods have been developed for handling missing data (Enders, 2023). Whereas older approaches…

Social network research often depends on the willingness of respondents to provide personal information about themselves and alters. Survey design strategies that increase willingness to share this information are necessary for social network research to be feasible, especially when name generators are used for sampling because rosters are…

Valid consent requires the potential research participant understands the information provided. We examined current practice in 50 proposed Clinical Trials of Investigational Medicinal Products to determine how this understanding is checked. The majority of the proposals (n = 44) indicated confirmation of understanding would take place during an…

The evidence for a reproducibility crisis in the sciences is overwhelming. Nevertheless, this crisis has not received sufficient attention in kinesiology. This must be remedied for kinesiology research is as vulnerable to the problems of the reproducibility crisis as any other discipline. The causes of this crisis include human, statistical and…

Randomized experiments are a strong design for establishing impact evidence because the random assignment mechanism theoretically allows confidence in attributing group differences to the intervention. Growth of randomized experiments within educational studies has been widely documented. However, randomized experiments within education have…

This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys -- APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys' documentation and compared their definitions,…

The peer review process is important for substantiating the quality of research. In this study, we examine the experiences of peer reviewers in agricultural education. The research presented in this article is part of a larger study that also examined the perspectives of researchers about peer review. We used a survey to collect data from a random…

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…

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…