Association Journal Research Articles

A Latent Class Analysis of Racial Terminology in Education Research: Patterns of Racial Classifications in AERA Journals

Education research commonly uses racial terminology but with little understanding of racial classification patterns across the field. In this study, we surface the use of racial terminology using a census of original research published in American Educational Research Association journals between 2009 and 2019. We do so as an ethical quantification exercise, seeking to further social justice goals by encouraging scholarship on racial terminology in education research. Using latent class analysis, we identify six classes of research ranging from about a third of articles that use almost no racial terminology to an eighth of articles that use terminology extensively. More recently published articles are more likely to be part of classes with extensive or narrow racial terminology usage and less likely to be in classes that are absent racial terminology. Qualitative research is more likely to use extensive racial terminology, and quantitative research is more likely to be absent of or narrowly use racial terminology. We conclude with recommendations for how future research can build off of these findings to address questions on how to authentically and purposefully use racial terminology in ways that reflect the complex ways people identify themselves to better situate education research to address racial inequality.

Why do Moroccan English Foreign Language learners experience more Peace of Mind (外语平和心态) than Chinese EFL learners and how does it affect their performance?

The current study considers the effects of the Chinese low arousal emotion Foreign Language Peace of Mind (FLPOM) and the medium-to-high arousal emotion of Foreign Language Enjoyment (FLE) on the performance of 400 Chinese and 502 Moroccan English as a Foreign Language (EFL) learners. The database consists of two merged datasets collected with the same instruments from learners with comparable profiles for English. The data on Chinese EFL learners was collected and used in Zhou et al. (Applied Linguistics Review, 2023a) while the data on Moroccan EFL learners was used in Dewaele and Meftah (Journal of the European Second Language Association, 2023); Dewaele et al. (Annual Review of Applied Linguistics, 2023a). The comparison revealed that all students reported higher levels of FLE than FLPOM. Moroccan students scored significantly higher on FLPOM and FLE than their Chinese peers. They also had significantly higher scores on the FLE Personal dimension. Finally, FLPOM was more strongly associated with performance than FLE among the Moroccan EFL learners, confirming the pattern in Zhou et al. (Applied Linguistics Review, 2023a). FLPOM did explain slightly more variance in the performance of Chinese EFL learners. Pedagogical implications are presented.

A Conversation with Stephen M. Stigler

Stephen M. Stigler received his Ph.D. in Statistics from the University of California, Berkeley, with a dissertation on the asymptotic distribution of linear functions of order statistics. Starting in 1967, he taught at the University of Wisconsin, Madison, then in 1979 moved to the University of Chicago where he taught from 1979 to 2021. Stigler has worked on a variety of topics in mathematical statistics, ranging from asymptotic theory to the theory of experimental design, and on applications of statistics including in anthropology, forensic science, paleontology, psychology, information transfer and sports. In recent years, he has concentrated on the history of statistics, with inquiries ranging from the development of statistical methods in astronomy and geodesy and their spread to biological and social sciences, to lotteries, to the modern development of statistical theory. He has published four books, The History of Statistics (1986), Statistics on the Table (1999), The Seven Pillars of Statistical Wisdom (2016) and Casanova’s Lottery (2022). A recent research focus has been upon the way the work of Francis Galton on the statistics of inheritance led to the creation of modern multivariate analysis and made a true Bayesian inference possible, and on how R. A. Fisher’s transformation of Karl Pearson’s path breaking research led to a modern period of statistical enlightenment. Stigler is an elected member of the American Academy of Arts and Sciences and of the American Philosophical Society; he has served as President of the Institute of Mathematical Statistics and of the International Statistical Institute. In 2005, he received the Humboldt Foundation Research Award; in 2010, he was elected Membre Associé of the Académie royale de Belgique, Classe des Sciences. Stigler served as Theory and Methods Editor for the Journal of the American Statistical Association 1979–1982. He was a Guggenheim Fellow in 1977, and received awards for undergraduate teaching at the University of Wisconsin (1971) and University of Chicago (1998). This interview with Stigler was conducted remotely in July 2021.

The American Heart Association Journals Centennial Collection.

The American Heart Association Journals Centennial Collection.

The Journal of the American Statistical Association 2023 Associate Editors

The Journal of the American Statistical Association 2023 Associate Editors

A Critical Analysis of Immigrant Children and Adolescents in U.S. Professional Counseling Literature

ABSTRACT In this content analysis, we examined 20 years of peer-reviewed counseling research with immigrant children and adolescents published between 2002–2022. We conducted a comprehensive analysis that included a total of 32 articles from American Counseling Association (ACA) and ACA division journals. We analyzed the articles and identified five overarching themes that shed light on the publication trends and existing gaps in the literature concerning issues of immigrant children and adolescents. Recommendations are presented and discussed for advancing future practice and research in the counseling field.

Наукові дослідження Миколи Битинського в Канаді

The character of Mykola Bytynsky and his activities have not yet been sufficiently studied and analyzed, although they undoubtedly deserve it. Mykola Bytynsky is an expert in the field of heraldry and the author of a number of articles and surveys devoted to the problems of city and land heraldry in the historical and ethnographic regions of Ukraine. Due to the fact that the works of M. Bytynsky are scattered in various journals of public and religious associations of the Ukrainian community abroad, his scientific heritage has not become the object of special research. The article examines and analyzes the activities of M. Bytynsky in the field of Ukrainian heraldry and vexillology in Canada. M. Bytynsky was one of the organizers of the Ukrainian Genealogical and Heraldic Society, which contributed to the popularization of heraldry among the Ukrainian community in emigration. In his scientific activity, M. Bytynsky, first of all, devoted himself to the study of the city and territorial coats of arms of Ukraine, as evidenced by the huge number of publications during the years 1953-1972. M. Bytynsky was also engaged in the study of Ukrainian heraldic terminology, in particular the divisions of the shield, the peculiarities of the use of helmets, mottos, mantles, tents and crowns. Along with explanations, he gave examples of blazoning (description) of coats of arms. Due to the ideological commitment and political motivation of the city heraldry of the time in the Ukrainian SSR, the majority of city coats of arms were created in gross violation of the basic prescriptions of theoretical heraldry. M. Bytynsky, who was a leading specialist and practical specialist in the production of coats of arms, developed a number of recommendations that have not lost their relevance to this day and are an important evidence of the strength of the coat-of-arms tradition of Ukraine. For the first time, M. Bytynsky drew attention to the problems that objectively arose during the study of Ukrainian city symbols. The elaborated epistolary of M. Bytynsky also made it possible to analyze the creative ideas and directions of the researcher’s scientific activity, as well as the socio-cultural factors that had an impact on his life and activity. First of all, attention is drawn to the correspondence of M. Bytynsky with the famous heraldist R. Klymkevich, in which the researchers discussed a number of topical problems of Ukrainian city and land heraldry. Let’s note that the letters are carriers of versatile and unique information, which contributes to the understanding of a wide range of topical issues. Due to the lack of many sources, the letters will contribute to filling in the white spots in the study of scientific activity. In view of this, they are important sources for the reconstruction of the scientific activity of researchers of auxiliary historical disciplines.

HEALTH INFORMATION–SEEKING BEHAVIORS, CONFIDENCE, AND CHALLENGES AMONG FAMILY CAREGIVERS OF PERSONS WITH DEMENTIA

Abstract Family caregivers play a significant role in providing care for their loved ones with dementia, including communication with healthcare providers (HCP), treatment decision-making, and care coordination. These tasks require family caregivers’ ability to seek, manage, and interpret health information they have found or received during and outside clinical encounters. This study examined which sources family caregivers use for seeking dementia care information, how trustworthy and reliable they find these sources, and information seeking confidence and challenges. A survey designed to understand family caregivers’ information seeking was completed by 36 participants who provided at least 10 hours of dementia care weekly (mean age 63.4; 83% female). About 80% reported using the Internet to look for dementia information, and less than 20% used a smartphone app to exchange their loved one’s medical information with HCP through a protected portal. While family caregivers entrusted HCP, pharmacists, and dementia-related organizations as sources of dementia information, they were skeptical of radio and TV as sources of credible information. Other information sources were identified, including Alzheimer’s Association, support groups, books/documentaries, and research journals. Approximately 50% reported concerns about the quality of dementia-related information; 45% experienced difficulties accessing the information they needed; 44% sensed frustration while searching for dementia-related information; and 40% had difficulty understanding the information found. There should be efforts to develop strategies that help dementia caregivers better identify credible information sources to increase confidence and reduce the stress and burden of acquiring reliable information necessary to care for their loved ones.

Reliability and Usefulness of YouTube as a Source of Informative Media for Arthroscopic Tennis Elbow Surgery: A Systematic Review of the Published Videos.

Over the last decade, YouTube has been extensively used as a learning tool for both physicians and patients, but the reliability of this information remains questionable. The purpose of this study was to look for the reliability and quality of videos on tennis elbow arthroscopy on YouTube. We used three search terms on YouTube "tennis elbow arthroscopic surgery," "Arthroscopic ECRB release," and "Arthroscopic debridement for tennis elbow," and screened the first 50 videos according to popularity. The videos were included from 2009 to date. Only videos in the English language were included. Repeated videos and videos without sound were excluded. A total of 74 videos were selected for this study and reliability was checked with DISCERN and journal of the American medical association (JAMA) scores. The quality was assessed with the Global Quality Score Criteria (GQSC) score and TEARS (a novel score). Popularity was tested with the video power index (VPI). A pilot study was conducted using 20 videos to validate the TEARS score. In the pilot study, TEARS showed results in accordance with other scores used. The average number of views was 41,644.97, and the average duration was 5.03 ± 3.39 years. The mean value of DISCERN and JAMA was found to be 21.47 ± 6.28 and 1.05 ± 0.92, respectively. GQSC, TEARS, and VPI were found to be 1.70 ± 0.82, 4.17 ± 2.62, and 769,936.9 ± 6,538,851.37. Most of the videos were educational and physicians were targeted. The USA was the major contributor to such videos. The reliability and quality of these videos were found to be of poor quality. The video popularity was however found to be relatively high. The inter-observer reliability was good. Based on the findings, we conclude that the videos are not reliable and could not be used for learning.

Unresolved issues with noninferiority pragmatic trials: Results of a literature survey.

Issues with specification of margins, adherence, and analytic population can potentially bias results toward the alternative in randomized noninferiority pragmatic trials. To investigate this potential for bias, we conducted a targeted search of the medical literature to examine how noninferiority pragmatic trials address these issues. An Ovid MEDLINE database search was performed identifying publications in New England Journal of Medicine, Journal of the American Medical Association, Lancet, or British Medical Journal published between 2015 and 2021 that included the words "pragmatic" or "comparative effectiveness" and "noninferiority" or "non-inferiority." Our search identified 14 potential trials, 12 meeting our inclusion criteria (11 individually randomized, 1 cluster-randomized). Eleven trials had results that met the criteria established for noninferiority. Noninferiority margins were prespecified for all trials; all but two trials provided justification of the margin. Most trials did some monitoring of treatment adherence. All trials conducted intent-to-treat or modified intent-to-treat analyses along with per-protocol analyses and these analyses reached similar conclusions. Only two trials included all randomized participants in the primary analysis, one used multiple imputation for missing data. The percentage excluded from primary analyses ranged from ∼2% to 30%. Reasons for exclusion included randomization in error, nonadherence, not receiving assigned treatment, death, withdrawal, lost to follow-up, and incomplete data. Specification of margins, adherence, and analytic population require careful consideration to prevent bias toward the alternative in noninferiority pragmatic trials. Although separate guidance has been developed for noninferiority and pragmatic trials, it is not compatible with conducting a noninferiority pragmatic trial. Hence, these trials should probably not be done in their current format without developing new guidelines.

Guidelines for Contributors to AJOT.

The American Journal of Occupational Therapy (AJOT) is the official journal of the American Occupational Therapy Association (AOTA). The primary mission of AJOT is to publish peer-reviewed research examining the effectiveness and efficacy of occupational therapy practice so that occupational therapy professionals can make informed, evidence-based decisions about best practice. In addition, the journal aims to publish (1) research documenting the reliability and validity of occupational therapy instruments; (2) studies demonstrating a relationship between occupational engagement and the facilitation of community participation and health; and (3) articles that provide a forum for scholars to debate professional issues that affect education, practice, and research. This Guidelines for Contributors to AJOT is also available at the American Journal of Occupational Therapy manuscript submission website, ScholarOne (go to https://mc04.manuscriptcentral.com/ajot and click "Instructions & Forms" in the upper right). These guidelines are published annually in a supplement to the journal; any changes implemented in the interim are published to the Author Guidelines page on the AJOT website (go to https://research.aota.org/ajot/pages/authorguidelines).

Interview With Adrian Raftery

SummaryProfessor Adrian E. Raftery is the Boeing International Professor of Statistics and Sociology and an adjunct professor of Atmospheric Sciences at the University of Washington in Seattle. He was born in Dublin, Ireland, and obtained a BA in Mathematics (1976) and an MSc in Statistics and Operations Research (1977) at Trinity College Dublin. He obtained a doctorate in mathematical statistics in 1980 from the Université Pierre et Marie Curie in Paris, France, under the supervision of Paul Deheuvels. He was a lecturer in statistics at Trinity College Dublin from 1980 to 1986, and then an associate (1986–1990) and full (1990‐present) professor of statistics and sociology at the University of Washington. He was the founding Director of the Center for Statistics and Social Sciences (1999–2009). Professor Raftery has published over 200 articles in peer‐reviewed statistical, sociological and other journals. His research focuses on Bayesian model selection and Bayesian model averaging, model‐based clustering, inference for deterministic simulation models, and the development of new statistical methods for demography, sociology, and the environmental and health sciences. He is a member of the United States National Academy of Sciences, a Fellow of the American Academy of Arts and Sciences, an Honorary Member of the Royal Irish Academy, a member of the Washington State Academy of Sciences, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and an elected Member of the Sociological Research Association. He has won the Population Association of America's Clifford C. Clogg Award, the American Sociological Association's Paul F. Lazarsfeld Award for Distinguished Contribution to Knowledge, the Jerome Sacks Award for Outstanding Cross‐Disciplinary Research from the National Institute of Statistical Sciences, the Parzen Prize for Statistical Innovation, and the Science Foundation Ireland St. Patrick's Day Medal. He is also a former Coordinating and Applications Editor of the Journal of the American Statistical Association and a former Editor of Sociological Methodology. He was identified as the world's most cited researcher in mathematics for the decade 1995–2005 by Thomson‐ISI. Thirty‐three students have obtained PhD's working under Raftery's supervision, of whom 21 hold or have held tenure‐track university faculty positions. He has over 150 academic descendants. This interview took place over two sessions in March 2023.

Introducing the Journal of the Medical Library Association’s policy on the use of generative artificial intelligence in submissions

With the arrival of ChatGPT, the academic community has expressed concerns about how generative artificial intelligence will be used by students and researchers alike. After consulting policies from other journals and discussing among the editorial team, we have created a policy on the use of AI on submissions to JMLA. This editorial provides a brief background on these concerns and introduces our policy.

Synth2: Synthetic control method with placebo tests, robustness test, and visualization

The synthetic control method (Abadie and Gardeazabal, 2003, American Economic Review 93: 113–132, Abadie, Diamond, and Hainmueller, 2010, Journal of the American Statistical Association 105: 493–505) is a popular method for causal inference in panel data with one treated unit that often uses placebo tests for statistical inference. While the synthetic control method can be implemented by the excellent command synth (Abadie, Diamond, and Hainmueller, 2011, Statistical Software Components S457334, Department of Economics, Boston College), it is still inconvenient for users to conduct placebo tests. As a wrapper program for synth, our proposed synth2 command provides convenient utilities to automate both in-space and in-time placebo tests, as well as the leave-one-out robustness test. Moreover, synth2 produces a complete set of graphs to visualize covariate or unit weights, covariate balance, actual or predicted outcomes, treatment effects, placebo tests, ratio of posttreatment mean squared prediction error to pretreatment mean squared prediction error, pointwise p-values (two-sided, right-sided, and left-sided), and the leave-one-out robustness test. We illustrate the use of the synth2 command by revisiting the classic example of California’s tobacco control program (Abadie, Diamond, and Hainmueller 2010).

Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis

Functional data analysis (FDA) has received significant attention from researchers due to its flexibility and diverse applications in various fields. FDA provides a comprehensive framework for analysing and extracting information from complex and high-dimensional datasets, enabling researchers to obtain insights into the underlying processes, improve modelling, and make accurate predictions. Therefore, understanding the FDA topic and its features and tools, as well as identifying the collaborative networks, are crucial for the development of its research areas. The objective of the present bibliometric study is to analyse the global research trend in FDA areas based on publication outputs, authorships, co-authorships, affiliated countries, and the co-occurrence of author keywords, which will enable researchers to assess the existing knowledge environment, future trends, potential research gaps, and collaboration opportunities. The publications from the year 1989 to 2021 were retrieved from the Scopus database, resulting in 1712 articles in journals after screening. Results have shown that articles published in the Journal of the American Statistical Association received the highest citations. Nearly 43% of the published articles were contributed by the leading authors from the USA, followed by China (11.5%) and Spain (9.4%). According to the QS World University Ranking 2021, eight of the top 20 productive institutions were ranked among the top 100 best universities. The findings indicated that researchers had intensively developed and applied FDA tools and features, such as smoothing, principal component analysis, regression, and clustering, in various domains. In addition, the expansion of FDA tools could be seen based on the recent progress in author keywords. New keywords, including function-on-function regression, function-on-scalar regression, scalar-on-function regression, outlier detection, structural health monitoring, and COVID-19, have arisen recently. Due to public concern about emerging diseases, future FDA work is expected to rise, particularly in the health sciences and biomedical fields.

Editorial favoritism in the field of laboratory experimental economics

We examine scientific quality and editorial favoritism in the field of experimental economics. We use a novel data set containing all original research papers (N=569) that exclusively used laboratory experiments for data generation and were published in the American Economic Review (AER), Experimental Economics (EE), or the Journal of the European Economic Association (JEEA) between 1998 and 2018. Several quantifiable proxies for scientific quality indicate that experiments conducted in Europe trump experiments conducted in the US: European experiments rely on larger numbers of participants as well as participants per treatment and receive more citations. For the AER and the JEEA, but not for EE, we find that papers authored by economists with social ties to the editors receive significantly fewer citations in the years following publication. Detailed analyses using a novel dynamic and continuous measure of the co-authorship distance between editors and authors suggest that authors at longer distances to editors have to write papers of higher quality in order to get published in the AER and the JEEA. We find no evidence that this ‘uphill battle’ is associated with geographical distance.

In Memory of Ken Mellor

This article is dedicated to the memory of Ken Mellor, a teacher and a supervisor of Transactional Analysis in psychotherapy, who passed away in July 2023 in Australia. Ken Mellor made a great contribution to the development of Transactional Analysis and to the emergence and development of a new field Spiritual Transactional Analysis. He published many of his papers in professional journals including the Transactional Analysis Journal of the International Transactional Analysis Association (ITAA). This article focuses on his contributions to the expansion and development of Transactional Analysis and on the connection that he saw between the foundations of Transactional Analysis theory and spirituality. It describes his ideas and additions to Eric Bernes ideas on autonomy. In one of his articles published in the Transactional Analysis Journal (TAJ), Ken draws on his spiritual experiences and practices to suggest specific steps that can be taken to arrive at autonomy. To the well-known components described by Eric Berne awareness, spontaneity, and readiness for intimacy Ken added another important component that Eric Berne had not written about.

Decade of Race Publications: Meta content Analysis of Race in Communication Scholarship from 2010–2020

The #CommSoWhite movement gained momentum in 2020, pointing to a heightened need for communication scholarship to reckon with race and racism. This content analysis provides a systematic review of a decade of race scholarship in communication studies. Manuscripts that address race in all of journals published by the National Communication Association and the International Communication Association journals were analyzed. Preliminary findings reveal trends regarding race scholarship and point to opportunities for advancing communication studies knowledge about race and racism. This research begins to map the terrain of race scholarship in the discipline of communication in order to show missed opportunities, patterns of publications regarding racial phenomena, and highlight potential biases in our collective knowledge of contemporary scholarship about race.

Current and Historical Publication Trends of State Library Association Journals and Newsletters

Librarians have reflected on their literature since state library association journals and newsletters began publication. This trend peaked in the 70s and 80s, and there was a virtual gap in the literature in the following decades. It is crucial to reassess publication trends due to recent changes in the library profession, such as declining membership and ease of publishing online. Print publication trends in state library association journals and newsletters will be examined using OCLC MARC records retrieved in Connexion and compiled in an Excel spreadsheet and graph. In addition, electronic publishing trends will be analyzed by assessing state association websites for the presence of a journal or newsletter, its format, and whether it is open source. Results from the study show that there were changing trends in the frequency of print publishing over the years, and most state associations presently publish an online journal in open-access PDF format. However, OCLC users should update OCLC records to reflect accurate publication dates and make separate records for an electronic format to depict publication trends accurately. State associations should also create a retention plan for electronically published material to avoid losing a historical archive.

Themes in Health Sciences Librarianship Literature, 2016–2020: A Keyword and Subject Analysis

Previous investigations into trends in Library and Information Science literature have revealed changes in the topics librarians publish on over time, with older studies highlighting classification and indexing, and information retrieval and more recent studies highlighting keywords such as Internet, information technology, digital libraries, and again, information retrieval. No similar investigation has been conducted on current publication trends by health sciences librarians. This study analyzes the top themes on which health sciences librarians published from 2016 to 2020 by examining the frequency of keywords. Keywords and subject headings were analyzed from The Journal of the Medical Library Association, Medical References Services Quarterly, The Journal of Hospital Librarianship, and The Journal of Electronic Resources in Medical Libraries. A total of 8,806 keywords were downloaded for analysis and organized into 292 categories during taxonomy creation. The ten most frequent themes were: libraries, information, education, humans, demography, librarian, geographical locations, research, electronic resources, and technology. The study also found that data, psychiatry and psychology, informatics, and publishing were other key themes, indicating that health sciences librarians are publishing on a wide range of topics. Some keywords that appeared only once, such as telecommuting and flexible staffing, suggest emerging areas of research for librarians.