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Objective: To comparatively evaluate performances of tablet-based versus paper-based Venous Insufficiency Epidemiologic and Economic Study-Quality of Life/Symptom (VEINES-QOL/Sym) questionnaire. Methods: We prospectively evaluated 78 consecutive patients who completed tablet-based and paper-based VEINES-QOL/Sym questionnaires and compared their scores, completion time, data entry time, and ease of use. We used Student's t-test and Wilcoxon test for quantitative variables, Bland–Altman test and kappa coefficient for agreement between questionnaires and patients, respectively. Spearman's correlation coefficient was used to assess correlations. Results: Most participants (83.3%) found it easier to use the tablet device. Less time was needed to complete the tablet-based (median, 4.75; IQR, 3–7 min) than the paper-based (median, 8.3; IQR, 6.3–11.3 min) questionnaire (p <.001). Better educated patients took less time to complete paper-based (p =.003) and tablet-based (p =.001) questionnaires and considered the latter easier to use (p =.010). Conclusions: The tablet-based VEINES-QOL/Sym proved to be an easy-to-use and time-saving tool. [ABSTRACT FROM AUTHOR]

The gold standard for measuring anhedonia is the Snaith-Hamilton Pleasure Scale (SHAPS). To date, there are no validated electronic versions of this questionnaire. We aim to study the equivalence between the traditional paper-and-pencil format and a digital version of the SHAPS. A group of 67 patients completed both SHAPS formats, and differences between formats were assessed. McNemar's test showed no significant differences between the two systems. The Kappa coefficient was over 40% for most items, and reliability was above 0.8, showing good to excellent levels of internal consistency. Thus, we have demonstrated a close equivalence between paper-and-pencil and electronic SHAPS. [ABSTRACT FROM AUTHOR]

Background: Low- and middle-income countries (LMICs), including South Africa, are currently experiencing multiple epidemics: HIV and the rising burden of non-communicable diseases (NCDs), leading to different patterns of multimorbidity (the occurrence of two or more chronic conditions) than experienced in high income settings. These adversely affect health outcomes, increase patients' perceived burden of treatment, and impact the workload of self-management. This paper outlines the methods used in a qualitative study exploring burden of treatment among people living with HIV/NCD multimorbidity in South Africa. Methods: We undertook a comparative qualitative study to examine the interaction between individuals' treatment burden (self-management workload) and their capacity to take on this workload, using the dual lenses of Burden of Treatment Theory (BoTT) and Cumulative Complexity Model (CuCoM) to aid conceptualisation of the data. We interviewed 30 people with multimorbidity and 16 carers in rural Eastern Cape and urban Cape Town between February-April 2021. Data was analysed through framework analysis. Findings: This paper discusses the methodological procedures considered when conducting qualitative research among people with multimorbidity in low-income settings in South Africa. We highlight the decisions made when developing the research design, recruiting participants, and selecting field-sites. We also explore data analysis processes and reflect on the positionality of the research project and researchers. Conclusion: This paper illustrates the decision-making processes conducting this qualitative research and may be helpful in informing future research aiming to qualitatively investigate treatment burden among patients in LMICs. [ABSTRACT FROM AUTHOR]

This discussion provides our reaction to the article by Greven and Scheipl. It contains an overview of their article and a description of the many areas of research that remain open and could benefit from further methodological and computational development. [ABSTRACT FROM AUTHOR]

As an important way to expand financing channels, the listing can significantly improve the enterprises' comprehensive competitiveness. However, few studies pay attention to the continuous impact of listing years on enterprise innovation. Based on the sample data of Chinese enterprises before and after listing from 2004 to 2017, this paper discusses the relationship between the listing years and dual innovation. And analyzes the moderating effect of slack. The research shows that the listing years are related to the quantity and quality of innovation in the inverted U-shaped, but the inflection point of the innovation quantity is later than the innovation quality. Before listing, the innovation quantity and quality increased; after listing, the innovation quantity first increased and then decreased, while the innovation quality declined. High slack makes the inverted U-shaped relationship between the listing years and innovation quality steeper. [ABSTRACT FROM AUTHOR]

In recent years, in order to address climate change and energy depletion, countries around the world have been constantly promoting energy transformation and structural upgrading. The effectiveness of RCEP has broadened the international east Asian new energy market. The development of renewable energy trade in the context of RCEP has attracted significant economic, environmental, and technical attention. Based on the background of RCEP in this study, the constant market share (CMS) model and the weighted dominant comparative advantage (IRCA) index are used to assess the export competitiveness of renewable energy products from 2006 to 2021. The data in this paper were obtained from the UN comtrade database according to the categorical statistics of HS codes. The results show that: (1) the overall competitiveness of Chinese renewable energy products shows an upward trend; (2) the comparative advantages of Chinese renewable energy products are strong, with some differences among different industries; (3) the growth effect is the main reason for the fluctuation of Chinese renewable energy product exports; and (4) the signing of RCEP has injected new vitality into Chinese renewable energy trade. Finally, based on the research conclusions, the paper puts forward corresponding policy proposal. [ABSTRACT FROM AUTHOR]

The rise of scientific fraud has drawn significant attention to research misconduct across disciplines. Documented cases of fraud provide an opportunity to examine whether scientists write differently when reporting on fraudulent research. In an analysis of over two million words, we evaluated 253 publications retracted for fraudulent data and compared the linguistic style of each paper to a corpus of 253 unretracted publications and 62 publications retracted for reasons other than fraud (e.g., ethics violations). Fraudulent papers were written with significantly higher levels of linguistic obfuscation, including lower readability and higher rates of jargon than unretracted and nonfraudulent papers. We also observed a positive association between obfuscation and the number of references per paper, suggesting that fraudulent authors obfuscate their reports to mask their deception by making them more costly to analyze and evaluate. This is the first large-scale analysis of fraudulent papers across authors and disciplines to reveal how changes in writing style are related to fraudulent data reporting. [ABSTRACT FROM AUTHOR]

This document is an editorial introduction to a special issue of selected papers from the 18th SPIE Conference on Visualization and Data Analysis (VDA 2011). The conference is a major international forum for researchers and practitioners interested in data visualization and analytics research, development, and applications. The special issue features five papers that were selected as the best from the conference. The papers cover topics such as visualizing explicit and implicit relations of complex information spaces, web-enabled visualization for geovisual analytics, visualization of scattered moment tensors, interactive isosurfaces with quadratic C1 splines, and visual exploration of frequent patterns in multivariate time series. The authors express their gratitude to the contributors, reviewers, and program committee for their valuable contributions. [Extracted from the article]

This document is an introduction to a special issue of selected papers from the Visualization and Data Analysis (VDA) conference in 2010. The VDA conference has grown rapidly since 1994 and attracts participants from around the world. The special issue includes five papers covering various topics in visualization and data analysis, such as dimensionality reduction, precision visual analysis, variable binned scatterplots, multi-phase network situational awareness, and visual operations for analyzing fuzzy data. The papers present new methods, techniques, and applications in these areas, and their contributions could impact future thinking in information visualization. [Extracted from the article]

Objective: Qualitative research is increasingly valued as part of the evidence for policy and practice, but how it should be appraised is contested. Various appraisal methods, including checklists and other structured approaches, have been proposed but rarely evaluated. We aimed to compare three methods for appraising qualitative research papers that were candidates for inclusion in a systematic review of evidence on support for breast-feeding. Method: A sample of 12 research papers on support for breast-feeding was appraised by six qualitative reviewers using three appraisal methods: unprompted judgement, based on expert opinion; a UK Cabinet Office quality framework; and CASP, a Critical Appraisal Skills Programme tool. Papers were assigned, following appraisals, to 1 of 5 categories, which were dichotomized to indicate whether or not papers should be included in a systematic review. Patterns of agreement in categorization of papers were assessed quantitatively using κ statistics, and qualitatively using cross-case analysis. Results: Agreement in categorizing papers across the three methods was slight (κ =0.13; 95% CI 0.06–0.24). Structured approaches did not appear to yield higher agreement than that by unprompted judgement. Qualitative analysis revealed reviewers' dilemmas in deciding between the potential impact of findings and the quality of the research execution or reporting practice. Structured instruments appeared to make reviewers more explicit about the reasons for their judgements. Conclusions: Structured approaches may not produce greater consistency of judgements about whether to include qualitative papers in a systematic review. Future research should address how appraisals of qualitative research should be incorporated in systematic reviews. [ABSTRACT FROM AUTHOR]

The relative advantages and disadvantages of sum scores and estimated factor scores are issues of concern for substantive research in psychology. Recently, while championing estimated factor scores over sum scores, McNeish offered a trenchant rejoinder to an article by Widaman and Revelle, which had critiqued an earlier paper by McNeish and Wolf. In the recent contribution, McNeish misrepresented a number of claims by Widaman and Revelle, rendering moot his criticisms of Widaman and Revelle. Notably, McNeish chose to avoid confronting a key strength of sum scores stressed by Widaman and Revelle—the greater comparability of results across studies if sum scores are used. Instead, McNeish pivoted to present a host of simulation studies to identify relative strengths of estimated factor scores. Here, we review our prior claims and, in the process, deflect purported criticisms by McNeish. We discuss briefly issues related to simulated data and empirical data that provide evidence of strengths of each type of score. In doing so, we identified a second strength of sum scores: superior cross-validation of results across independent samples of empirical data, at least for samples of moderate size. We close with consideration of four general issues concerning sum scores and estimated factor scores that highlight the contrasts between positions offered by McNeish and by us, issues of importance when pursuing applied research in our field. [ABSTRACT FROM AUTHOR]

Content analysis, initially a quantitative technique for identifying patterns in qualitative data, has evolved into a widely used qualitative method. However, this evolution has resulted in a confusing array of differing qualitative content analysis approaches that lack clear distinction from other methods. To address these issues, this paper introduces reflexive content analysis, a transtheoretical and flexible researcher-oriented method for the description and reduction of manifest qualitative data. RCA is used to identify patterns in the overt surface meanings of qualitative data through the use of a hierarchical structure of quantifiable analytical strata called codes, subcategories, and categories. Each stratum exists on a continuum of abstraction with codes being the closest to the original data and categories being the most abstract. During each stage of the RCA process, reflexivity is regarded as a valuable analytical resource that is crucial for ensuring adequate description of the data. RCA is intended to be used as method for data analysis, not a methodology, and therefore can be integrated with various methodological and epistemological approaches. This paper provides an introductory guide to conducting RCA. It first presents an overview of existing challenges in qualitative content analysis methods, followed by a rationale for the development of RCA. Then, the foundational principles of RCA and key concepts that support this method are discussed. The paper culminates by outlining the process for conducting an inductive RCA within a qualitative framework, using a previous application of this method as a reference point. [ABSTRACT FROM AUTHOR]

The article discusses the protocol and the collected data for the research which aimed at investigating the dynamics of the project management. It says that researchers gathered articles published from 1914 through 2009 and use different glossaries to develop the dictionary for the study. It notes that the growth rate for both academic and professional publications is slowing down though project management publications are still progressing.

This paper is to explore the association between environmental, social, and governance (ESG) dimensions and corporate innovative activities. Given that existing literature in the relationship between ESG and firm performance to date offers no clearly consistent empirical results and large-scale sample studies based on global companies remain scarce, this paper aims to offer a fresh and noteworthy insight about relationship between the ESG and innovation in recent times when ESG has been considered as important tenets of management because of the ESG's enormous significance for corporate solid performance and sound development of capital markets. To test the hypotheses derived from the theoretical reasoning, this paper selected ESG indicators and financial data of global companies from 1999 to 2009 based on the relationship between ESG activities and corporate innovation, and the effects on corporate innovative product development performance are analyzed according to detailed ESG activities by logistic regression analysis. The study found that positive environmental and social activities appear to enhance innovation outputs by firms in various industries. These results indicate that the firms challenged by environmental issues respond with assertive innovative activities and the firms' efforts to stimulate certain types of social activities are reflected in a higher level of innovation. Supporting the complex relationship between ESG activities and corporate innovation performance, the findings will help firms' decision-makers, stakeholders, as well as academics, to improve their awareness of the impact of ESG activities on the innovation performance of the firm, both as a comprehensive factor and individually by pillar. [ABSTRACT FROM AUTHOR]

This article presents an introduction to the contents of this issue including a special focus on data integration and market research.

This paper studied the impact of high-speed railway linesonagricultural outputin the regions along their routes. It also investigated the heterogeneity of this impactbased on the terrain characteristics. The results of empirical testsusing county-level data show that ahigh-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regionswith gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Ourfindingsprovide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and providesa theoretical basis for the economic spillover effects of high-speed railway construction. Plain Language Summary: This paper studied the impact of high-speed railway lines on agricultural output in the regions along their routes. It also investigated the heterogeneity of this impact based on the terrain characteristics. The results of empirical tests using county-level data show that a high-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regions with gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Our findings provide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and provides a theoretical basis for the economic spillover effects of high-speed railway construction. [ABSTRACT FROM AUTHOR]

The Modern Data Analysis paradigm (Williams, 2021) advocates using multiple methods to address the same research question, which is rarely done in studies of advertising creative effects. In this paper, we apply the MDA paradigm to data from Hartnett, Kennedy, et al. (2016), which coded 158 creative variables for 312 television advertisements with commercially validated short-term sales effectiveness outcomes. We found that many models give higher classification accuracy than the ordinal regression model previously applied, some significantly higher. Importantly, by applying many alternative but equally plausible analytical methods, we can identify creative variables associated with commercial success and have evidence-based confidence that these creative variables are artefacts of the data, and not artefacts of any particular analytical method and its associated assumptions. The findings reveal several alternative creative variables that are consistently associated with sales success across methods, which relate to the timing aspects of visual branding. [ABSTRACT FROM AUTHOR]

In 2022, Gysembergh et al. published a paper in JHA claiming 'New evidence for Hipparchus' Star Catalogue'. In this paper we challenge this hypothesis by stating that (a) we disagree with their astronomical dating and find inconsistencies by using the given numbers, and (b) the terminology and the data format used in the palimpsest do not match Hipparchus or anybody else. Therefore, the palimpsest does not prove anything about Hipparchus's star catalogue nor did Hipparchus use rectangular constellation borders. Specifically, the constellation of Corona Borealis, typically depicted as a circle since Babylonian times, is not considered a rectangle by Hipparchus. Furthermore, a palimpsest that cannot be dated properly does not confirm the long-known relationship between Hipparchus and Ptolemy as the authors claim. [ABSTRACT FROM AUTHOR]

Working with trauma-affected youth in physical education (PE) can be a challenging and, at times, stressful and emotionally demanding process. Whilst little is known about how student trauma affects in-service teachers, even less is known about how it might impact pre-service PE teachers. The aims of this paper are therefore to (1) explore pre-service PE teachers' experiences of working with students affected by trauma, and (2) consider the potential implications of this for their well-being. Through an online professional learning programme, we worked with three distinct groups of pre-service PE teachers (n = 22). The workshops generated data through individual activities and group tasks that allowed participants to reflect on their experiences. Findings revealed that pre-service teachers had several encounters during their school-based placements with young people who may have experienced trauma. These experiences were felt by the pre-service PE teachers – both emotionally and physically. Pre-service PE teachers were encouraged to develop self-care strategies; however, our participants indicated that this was not always easy to do. That said, pre-service PE teachers were able to describe some of the strategies they engaged with to take care of themselves and safeguard their own well-being. Many of these strategies were relational and involved spending time with others – such as school colleagues (teachers and/or mentors) – who were available to offer both practical and emotional guidance and support. Thus, our findings reinforce the importance of pre-service teachers learning about self-care and emotional regulation as part of initial teacher education courses. [ABSTRACT FROM AUTHOR]

Parents and preschool teachers play a key role in shaping children's dietary behaviors. Knowledge of nutrition and healthy dietary choices is a key component to improve dietary habits and reduce the prevalence of obesity and associated co-morbidities. Using valid and reliable instruments is necessary for accurate assessment of knowledge to tailor interventions and measure effectiveness specific to the population of interest. The objectives of this paper are to (1) identify potential gaps in the baseline nutrition knowledge among parents and teachers using a previously validated questionnaire prior to a preschool obesity prevention intervention; and (2) assess the instrument's reliability and construct validity for a low socioeconomic status population using a post hoc Rasch analysis. Participants included 177 parents and 75 teachers who participated in a Head Start intervention study. Knowledge scores, instrument reliability, and item fit and difficulty were assessed using a Rasch analysis; t-tests were used to determine differences in scores between parents and teachers. Parents answered 38% of questions correctly while teachers correctly answered 46% of the questions. Adequate item fit and reliability were indicated for Sections 1 and 2 of the Nutrition Knowledge Questionnaire (NKQ). Section 3 demonstrated less adequate reliability. The items were found to adequately and reliably define the unidimensional measures of the three components of knowledge represented in this instrument, providing evidence of construct validity. However, Rasch measures indicated the NKQ overall was difficult for participants. Recommendations for improving the instrument for nutrition education/intervention and research practice areas related to obesity and obesity-related conditions are addressed. [ABSTRACT FROM AUTHOR]

Clinical research is undertaken to improve care for palliative patients, but little is known about how to support the broad uptake of resultant innovations. The objectives of this paper are to: (1) explore the uptake of the Edmonton Symptom Assessment System throughout the global palliative care community through the lens of a bibliometric review — a research method that maps out the journey of new knowledge uptake by evaluating where key articles are cited in published literature; (2) construct hypotheses on attributes of the global community of palliative care learners; and (3) make inferences on approaches that could improve knowledge transfer. While preliminary, results of the study suggest several specific approaches that could support widespread uptake of innovations in palliative care: targeting publication in high impact, international journals; explicitly focusing on how the innovation is applied to best practice; encouraging additional research to expand on early studies; consciously targeting key professional groups and organizations to promote discussion in the grey literature; and early translation and promotion within multiple languages. [ABSTRACT FROM AUTHOR]

Introduction: Technological advances have introduced three-dimensional (3-D) printing as an option for creating tactile maps for people with visual impairments (that is, those who are blind or have low vision), diversifying the types of map products that are available. At the same time, it presents a challenge to map makers to implement designs across multiple production methods. We evaluated map symbols to determine their discriminability across three different materials: microcapsule paper, 3-D printer plastic, and embossed paper. Methods: In a single session lasting less than 90 minutes, participants completed a matching task and provided informal feedback regarding their preferences. We measured speed and accuracy to establish discriminability of map symbols on each of the materials. Eighteen participants were recruited from a referred sample among attendees at the American Council of the Blind annual convention in 2013. Results: Response times were significantly different across the three materials (p < 0.001). Without sacrificing accuracy, response times were faster for the 3-D printed graphics than for either the microcapsule paper (p < 0.001) or the embossed paper (p < 0.001). User preference was divided across the three materials. Some people disliked the "sharp" corners of the 3-D printed symbols, while others preferred their "crisp" edges. Discussion: Our results demonstrate faster discriminability of a set of tactile symbols produced on a 3-D printer compared to those same symbols printed on microcapsule paper, the material for which the symbols were originally designed. Participant feedback reflected preferences both in favor of and against reading symbols produced on the 3-D printer. Implications for practitioners: This article discusses the functional equivalence of tactile symbols produced across multiple production technologies. It addresses two considerations when using 3-D printing to make tactile maps: preparing digital files for printing and the printing work flow. Digital files ready for printing on each of the three materials are available for download (Brittell, Lobben, & Lawrence 2016). [ABSTRACT FROM AUTHOR]

Digital platforms have proven to be efficient matchmakers in our networked economy and society. However, their tremendous potential is a double-edged sword, and concerns about their malpractices and negative impact have risen remarkably. In the light of practical relevance, research on digital platform regulation (DPR) did not contribute very much. Especially information systems (IS) which, as a discipline, seems predestined to explain the problems at the confluence of technology-economy-society, has barely grazed the issue of DPR. Particularly, a contribution is missing that at least explores the problems with digital platforms systematically and comprehensively. In response to this aim, we pursue a twostep approach: First, we apply qualitative meta-analysis of 211 cases as well as a number of regulation papers and actual regulation endeavors to identify and conceptualize the problem scope and potential regulatory approaches for platform problems. Second, we condense our findings into a conceptual model. Our findings show that digital platforms exploit both platform- and monopoly-related problems to assert themselves in different markets. Through their impactful platform governance, they even have become serious challengers to the regulator in controlling market access, key conditions, and resources. At this, they rely on the efficient use of data and digital technologies to effectively orchestrate platform agents and their transactions. The outcome of the paper is a set of two structured instruments that fill a void in interdisciplinary research and provide support to DPR practitioners for a systematic approach to regulation. [ABSTRACT FROM AUTHOR]

Purpose: Conducting well designed pharmacy resident research projects has inherent challenges including inadequate sample size, a lack of time, decreased generalizability, and inadequate research support. A way to overcome these barriers is through conducting multicenter research projects. However, this approach may also bring new challenges. Therefore, the purpose of this article is to provide a general approach for pharmacy preceptors and leaders on implementation of multicenter residency research. Summary: This article includes a general approach to conducting multicenter research from experienced individuals based upon their successes and failures. A timeline-based format is presented to lay the groundwork for implementation of this approach. Key topics in this paper include establishing a research overview committee, research question development, Institutional Review Board considerations, site recruitment, authorship discussions, resident coordination, protocol development, data collection, manuscript development, and considerations after residency. The approach maintains a critical focus on the individual residents ability to achieve American Society of Health-System Pharmacists accreditation standards for conducting research while operating in a collaborative manner. Conclusion: Conducting multicenter residency research projects requires a team-based approach and advanced planning. This approach has the potential to improve pharmacy resident project quality. [ABSTRACT FROM AUTHOR]

Metainferences, or the insights derived from integrating quantitative and qualitative inferences at the end of a study, are crucial for achieving added value and synergy in mixed methods research. There is an ongoing need to understand how researchers generate metainferences, especially considering their pivotal role in helping researchers achieve full quantitative and qualitative integration. While some examples of metainferences generation are available in the mixed methods literature, more explicit guidance is required. Approaches to developing metainferences must also be contextual, as inferences of this type are contingent on the nature and purpose of the mixed methods study, the type of mixed methods design, and the quality of the research data. This paper describes a seven-step process for generating metainferences using a convergent mixed methods study as an exemplar. These steps consist of identifying knowledge, experience, and data-driven inferences from the quantitative and qualitative data; developing inference association maps to draw metainferences; and assessing the validity of metainferences using backward working heuristics. This paper contributes to mixed methods research by shedding light on the development of metainferences in convergent designs and by providing practical and tangible tools for making sense of the complexity of the analysis and interpretation tasks involved in the process of generating metainferences. [ABSTRACT FROM AUTHOR]

Bitcoin has attracted incessant attentions in recent times. Studies have completed models to examine the relationship between Bitcoin and other multiple attendant variables. This paper considers a simple and direct price-volume relation. The paper offers causality evidence according to the dynamic asymmetric causality test. Based on available monthly data spanning 2010:M7-2022:M10, the paper shows that Bitcoin price and volume are integrated, both been I(0)'s. Moreover, the paper discloses the short- and long-term price-volume behaviors of Bitcoin using the cointegration test and vector error correction model (VECM). Taken together, the study first confirms long run relations and presents the estimates of the parsimonious VECM. The results show short run evidence of positive price-volume relations, and in the long run, the disequilibria are as well corrective and mean reversing. The outcomes of the Hatemi-J's causality testing suggest likely evidence of bidirectional causality between the positive and negative fragments of the shocks of Bitcoin price and volume during the periods. [ABSTRACT FROM AUTHOR]

Purpose. To investigate the selection bias of an Internet panel survey organized by a commercial company. Methods. A descriptive study was conducted. The authors compared the characteristics of the Internet panel survey with a national paper-based survey and with national governmental statistics in Japan. Results. The participants in the Internet panel survey were composed of more women, were older, and resided in large cities. Regardless of age and sex, the prevalence of highly educated people in the Internet panel survey was higher than in the paper-based survey and the national statistics. In men, the prevalence of heavy drinkers among the 30- to 49-year-old population and of habitual smokers among the 20- to 49-year-old population in the Internet panel survey was lower than what was found in the national statistics. Conclusions. The estimated characteristics of commercial Internet panel surveys were quite different from the national statistical data. In a commercial Internet panel survey, selection bias should not be underestimated. [ABSTRACT FROM PUBLISHER]

This article discusses the critical and complex design decisions associated with transitioning an interviewer-administered survey to a self-administered, postal, web/paper survey. Our approach embeds adaptive, responsive, and tailored (ART) design principles and data visualization during a multi-phased data collection operation to project the outcomes of each phase in preparation for subsequent phases. This requires rapid decision making based upon experimental results using a data visualization system to monitor critical-to-quality (CTQ) metrics and facilitate projections of outcomes from the current phase of data collection to inform the design of the subsequent phase. We describe the objectives of the overall design, the features designed to address these objectives, components of the visual adaptive total design (ATD) system for monitoring quality components and relative costs in real time, and examples of the visualization elements and functionalities that were used in one case study. We also discuss subsequent initiatives to develop an interactive version of the monitoring tool and applications for other studies, including those employing adaptive, responsive, and tailored (ART) designs. Our case study is a series of pilot studies conducted for the Residential Energy Consumption Survey (RECS), sponsored by the U.S. Energy Information Administration (EIA). [ABSTRACT FROM AUTHOR]

Introduction: Globally, healthcare organizations have transitioned from paper-based documentation to electronic health records (EHR), including in Saudi Arabia. However, the adoption of EHR at the national level in Saudi Arabia needs more attention. Thus, this study aimed to determine the workflow integration of EHR and associated factors. Objectives: The specific aims were to examine the level of EHR use and workflow integration among nurses, to determine the differences in EHR use and workflow integration based on nurses' demographic characteristics, and to determine the association between the predictive factors and EHR workflow integration. Methods: This is a cross-sectional, correlational descriptive study. The data were collected from 293 nurses using the convenience sampling method. The participating nurses completed a questionnaire that included two measures: the Information System Use Survey and the Workflow Integration Survey (WIS). The data were analyzed using descriptive and multivariate statistics with SPSS software. Results: The nurses had a positive perception of EHR use and workflow. The EHR use scores differed based on workplace (P <.01), education level (P <.05), and area of practice (P <.001). Similarly, the EHR workflow integration scores varied according to workplace (P <.05), education level (P <.05), and area of practice (P <.001). Education level and workplace significantly predicted information system use. Furthermore, education level and information system use significantly predicted the EHR integration into nurses' workflow. Conclusion: The nurses expressed a greater perceived use of EHR regarding the integrated health information system, which was a predictor of EHR integration into nurses' workflow. [ABSTRACT FROM AUTHOR]

The development of efficient and reliable online assessments has become increasingly important in the digital era. We developed a 10-min online word reading assessment of global English based on the existing paper-and-pencil version of our English silent word reading test. The test includes two parts, namely, random word recognition and contextual word reading. A total of 889 participants (437 children and 392 adults; 62.7% female) took part in the study. They were from various regions including mainland China, Hong Kong SAR, Macau SAR, Poland, the United States, and the Philippines. Reliability and validity analyses on various demographics samples (by age and country/region of origin) demonstrated that the WordSword Test is highly reliable and valid (e.g., the correlation of this test with other English reading measures were above.80). Education level was positively correlated with test performance, while the correlations between age and test performance were not consistent. Ninety-seven children participants also took the paper-and-pencil version of the WordSword Test. The correlation between performances on the online and paper-and-pencil versions of the test was.879, one year apart. With more children and adults taking the WordSword Test, we ultimately hope to establish norms by area, grade level, and age. [ABSTRACT FROM AUTHOR]

This paper considers how player acceleration changes in soccer relative to age. A plot of average maximum acceleration versus age is produced. The construction of the plot is based on methods from functional data analysis and the availability of tracking data from the 2019 season of the Chinese Super League. For an individual player, we calculate his maximum acceleration for each single match of the 2019 season. Since the players' maximum accelerations are observed only on a single season instead of their entire careers, we treat them as incomplete functional data, called functional snippets. The average maximum acceleration, i.e., the mean function of the functional snippets rather than full curves is estimated by a local linear smoothing method. The most important observation is that the shape of the acceleration curve closely resembles curves of soccer performance versus age. This observation has implications for predicting future performance since acceleration is more easily and more accurately measured than performance. [ABSTRACT FROM AUTHOR]

In this paper, we offer an original framework to study Artificial Intelligence (AI). The perspective we propose is based on the idea that AI is a system technology, and that a useful description of AI cannot abstain from mapping the components of the system, their interdependence, and how the synergies they create shape at the roots the directions of AI development. We adopt the concept of Large technical systems (LTS) to give substance and structure to our idea. Using LTS, we are able to scaffold AI and the forces at work steering its production, deployment, and evolution. We find that AI as a system shares essential features with infrastructural technologies such as the Internet. The LTS framework proves very useful to capture important nuances of the technology, and it allows us to trace the connections and cross–influences among its constituting domains—algorithms (software), compute (hardware), and data. We compare our proposed framework with other concepts usually associated with radical innovations, and suggest in which respects AI differs from these ideal–types. We consider ours a timely exercise, as we witness the formation of an AI industry. While in the making, this industry is rapidly ossifying, together with its specific problems, power imbalances, and development scenarios; the focus on the system–ness of AI allows uncovering the deeper structure of this technological breakthrough. [ABSTRACT FROM AUTHOR]

The digital economy is an important driving force for China's economic transformation and upgrading, while "carbon peaking and carbon neutrality" is the goal to be achieved in China. Based on the panel data of 30 Chinese provinces (cities and districts) from 2012 to 2019, the article empirically investigates the impact of the digital economy on regional carbon emissions and its mechanism of action by using a two-way fixed-effects model and mediated-effects model. The study shows that, firstly, the digital economy has a significant carbon emission reduction effect, and the conclusion still holds after robustness testing. Secondly, the emission reduction effect of industry digitization in the digital economy dimension is the most obvious. Again, the carbon emission reduction effect of digital economy development on different regions varies, with the strongest carbon emission reduction effect on western regions and regions with high carbon emission levels. Finally, the analysis of mediating effects shows that the energy structure is an important mechanism for the digital economy to suppress regional carbon emissions. The findings of the study provide a feasible path and policy reference for the digital economy to contribute to the goal of "carbon peaking and carbon neutrality". [ABSTRACT FROM AUTHOR]

Children in care of the state are amongst the most disadvantaged in society. They have often experienced adverse childhood experiences leading to their care entry including abuse and neglect. Longitudinal data suggests problems children in care of the state experience within adolescence persist into adulthood, showing "a continuing legacy of adversity." Emerging literature shows that edge of care interventions can bring about benefits. These interventions support families to meet their child's needs and prevent, or reduce, the likelihood of children going into care. However, it is not clear how or why these interventions work. It is important to develop this understanding to inform the development of effective, theory-informed practice to benefit this population. We reviewed and synthesised published literature to expose mechanisms by which interventions may promote and support family preservation for children at the edge of care. Our synthesis uses a realist approach to examine mechanisms by which interventions, in various contexts, can promote and support family preservation for children at the edge of care. Previous work by the team shaped the initial search strategy and in line with RAMESES realist review guidelines, no restrictions were placed on the types of study to be included in the synthesis. From 7,530 potentially relevant references identified, 61 papers were included in final extraction. Extracted data was themed, prior to developing narrative and formulating programme theories. Effective edge of care service operation seemed to be based on four core programme theories pertaining to the need for family skills training, home-based delivery, dedicated worker, and rapid response to need. [ABSTRACT FROM AUTHOR]

This paper investigates how tourists develop adaptive perceptions in response to pandemic situations and how these perceptions influence their international travel decision-making toward a COVID-19-shaken destination in the new normal era. The survey was administered to Chinese potential international tourists and 608 questionnaires were utilized in data analysis. The results revealed the indirect effect of COVID-19 risk perception on travel intention first through cognitive image and then through affective image. Cognitive and affective images were identified as mediators of these interrelationships. The findings also showed that COVID-19 displayed varying effects on tourists with different past travel experiences. By unveiling factors influencing individuals' travel decision-making in the new normal era, this study provides a theoretical basis for understanding the psychological and behavioral effects caused by a pandemic; delineating the underlying mechanism of the COVID-19 risk perception effect on international travel decision-making; expanding the research on destination image by clarifying the mediating roles of cognitive and affective images and their relation; providing timely and insightful implications for post-pandemic tourism recovery. [ABSTRACT FROM AUTHOR]

This paper uses the political economy framework to examine developments surrounding the establishment and structuring of Botswana Television since its introduction as a national broadcaster in 2000. The focus is to identify the broadcasting model for Btv, and establish whether PSB or SB would be appropriate for a national television in Botswana context. Data obtained through documentary analysis and semi-structured interviews showed that Btv has always been funded and structured to operate from either the Government Ministry of Transport and Communications, or the Office of the President. Consequently, the channel's broadcasts are predisposed toward the ideologies of the ruling elites, than those of the public. Therefore, we argue that Btv should be re-structured and allowed to operate in the interests of both the state and public. Doing so could result in collective use of state media and safeguard against unnecessary government control. Thus, for developing contexts such as Botswana, we suggest a hybrid model of both PSB and SB. [ABSTRACT FROM AUTHOR]

Objectives: To review the literature on individual community professionals' caseload management (behaviours related to assessment, treatment and discharging of clients) to identify the main themes and concepts, and to synthesize the findings to inform practice, policy and research. Methods: Publications were systematically identified from electronic databases, hand searches of bibliographies, and contact with professional organizations. There were no restrictions on language, the nature of publications or publication year. Procedures were systematically applied for quality appraisal and data extraction. Qualitative and descriptive quantitative methods were used for data analysis and synthesis. Results: Search criteria yielded 2048 papers of which 42 papers met the inclusion criteria. Thirty-five percent of these were based on research, the rest on professionals' experiences. The papers covered 16 professional and 20 client populations, and their quality was generally poor. Analysis identified six broad themes: definitions of caseload management, caseload measurement and 'tools', models of caseload management practice, client- professional relationship, discharging and professional guidance. Six papers presented issues that related to but did not fit within these themes. Current caseload management tools and models of caseload management practice had a poor evidence base. Five papers described benefits of team-based approaches. Professional guidance for caseload management is limited in detail and relevance to daily practice. Conclusions: Although there is a considerable literature on caseload management, it is not possible to make summative conclusions. Policy-makers and professional bodies should encourage and support development of research evidence about the ways to achieve effective, efficient and equitable caseload management. Health and social care services considering implementing caseload management tools or models of practice should critically appraise their basis, and consider their potential advantages as well as disadvantages. [ABSTRACT FROM AUTHOR]

Within multi-national research collaborations, power dynamics often shape who is involved in which parts of the research process. The analysis phase of research has historically been framed as requiring expert perspective, excluding national or local researchers whose role is often limited to collecting data and transferring it to others to analyze. In this paper, we describe and reflect on the process of collaborative coding across a multi-national team based in Lebanon and the United Kingdom, as part of a broader approach to co-production. We explore the value and benefit of collaborative coding, reflecting on how coding together enabled greater inclusion, teamwork, improved analysis as well as improved future data collection. We also discuss the technical and logistical challenges we faced in coding within a team and using internet-based software, including the complications involved in navigating power dynamics between researchers and coming to final decisions about codes. Over time, we found collaborative coding became a smoother process, however working in this way is not straight-forward. Our paper contributes a reflexive analysis on the power dynamics and decision-making complexities involved in collaborative coding. It emphasizes the importance of investing in interpersonal relationships over time and prioritizing less-centralized decision-making within research collaborations. [ABSTRACT FROM AUTHOR]

In this paper, we engage in productive resistance through exploring the application of an arts-based method in expanding the critical research methodology repertoire in the profession of speech-language pathology. There is a specific focus on the value of painting in the data representation process. We explore how a playful, creative analysis deepened the critical interpretative meaning-making process. In particular, we explain how artful representations in the data analysis process can broaden communication in research beyond the written modality to generate alternative knowledges. We use the concepts of productive ambiguity and unknowing as key conceptual tools to reimagine the data analysis process with particular focus on the process of data representation. We conclude that embracing the uncertainty of creative ways of knowing create possibilities for new meanings and knowledges to emerge. [ABSTRACT FROM AUTHOR]

This article reports on a study that explored cross-disciplinary variation in the use of metadiscourse markers in advanced-level student writing, put forward as a realistic target for novice writers. Starting from the stance and engagement categories included in Hyland's model, we first conducted a comprehensive quantitative analysis of interactional metadiscourse across disciplines. For this analysis, we used an automated processing tool that generates quantity scores for each metadiscourse category. We then carried out a detailed qualitative analysis of selected items that contributed significantly to these category scores. The data for our analyses come from a corpus of 829 student papers from 16 different disciplines. The results showed notable differences in students' use of metadiscourse features across academic divisions and disciplines. We suggest that this offers evidence of advanced students' ability to express interactional strategies that are in line with disciplinary expectations. We also found, however, that disciplines that fall into the same academic division were not necessarily similar in their use of interactional metadiscourse, which calls into question the usefulness of existing disciplinary groupings. The findings of this study offer insights into how to build an appropriate writerly stance in different academic communities. [ABSTRACT FROM AUTHOR]

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/logistics journals. In reviewing these studies, our objective is to assess and present the macro level 'architectural blue print' of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision-making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queueing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights into disaster research. Recommendations for future research are provided. [ABSTRACT FROM AUTHOR]

Young children encounter a diverse range of written and multimodal texts in their play and everyday lives. Prior to formal education, children may not be considered 'readers' or 'writers' in the conventional sense, yet nonetheless, they engage creatively and agentively in everyday literacies. However, little is known about the motives and intentions of our youngest citizens in their activity with text. This paper reports a sub-section of findings from a wider ethnographic involving 3 to 4-year-olds, their families and practitioners at their early childhood setting. Data gathering and analysis were shaped by two distinct theoretical lenses, namely, the neo-Vygotskian concept of perezhivanie and posthumanist affect theories. The study findings are exemplified through two vignettes extracted from data, which illustrate how children's motives and intent in their everyday encounters with text are underpinned by three overarching and interrelated goals – to make meaning, make relationships and make identities. In addition, building on posthumanist literacy research, this paper considers the nature and emergence of motive and intent in everyday literacies. The study provides more textured understandings and accounts of young children's everyday encounters with a diverse range of texts. [ABSTRACT FROM AUTHOR]

Premature closure of analysis refers to finishing data analysis too early, leading to underdeveloped qualitative findings. It is a critical issue in qualitative research affecting the rigor and trustworthiness of qualitative findings. While much has been written about how to conduct rigorous data analysis across a range of qualitative approaches, there has been no discussion of the features of premature closure of analysis and strategies for addressing it. The purpose of this paper is to outline how to spot premature closure of analysis and to describe strategies to mitigate this issue. Three identifying features of premature analysis are: providing thin descriptions with loaded participant quotes, presenting conventional concepts as themes, and using topic summaries as themes. Using a First Approach to qualitative analysis, working in segments to generate a wholistic thematic output, and critical reflection and examination before finalizing the thematic output can be useful strategies to mitigate premature closure of analysis. Themes and patterns that are too vague and meaningless to provide a comprehensive account of the studied phenomenon are a threat to the validity of the study and a waste of researchers' effort and time. Premature closure of analysis is one of the most common problems affecting the quality of thematic outputs in quality studies. Therefore, researchers should be mindful and critical in their analytical decision-making to prevent this problem. [ABSTRACT FROM AUTHOR]

The concept of models-based practice has arguably provided the field of sport pedagogy with the means, lens, and tools with which to start to transform the discipline into a more desirable, equitable, and purposeful space. Despite this, there remains a need to experiment with this concept further in non-traditional ways and to continue to construct new pedagogical models meant to serve youth in ever-changing pluralist societies. The purpose of this paper, therefore, was to outline an affective-oriented composite pedagogical model, titled The Spectrum Model, by drawing from Mosston and Ashworth's theory for the spectrum of teaching and learning and neo-Aristotelian virtue ethics. To achieve this goal, I begin by highlighting the need for studying the synergy between the spectrum and models-based practice more closely. Thereafter, I attempt to clarify spectrum theory, virtue ethics, and the concept of models-based practice. Finally, I conclude by presenting two broad main ideas, three critical elements, six intended learning aspirations, and a series of suggested pedagogies acting to inform the proposed Spectrum Model. This model has the potential to influence how practitioners and scholars understand the spectrum of teaching and learning within the broader notion of models-based practice. The application and integration of moral philosophy into a well-established pedagogical framework might also help pedagogues of all kinds to envision how they could help youth to obtain a fully flourishing lifestyle through their teaching. [ABSTRACT FROM AUTHOR]

Purpose: This paper presents a re-analysis of the National Child Abuse and Neglect Data System (NCANDS) data presented by Briggs et al. (2022). Methods: We review five components of that article: The aims, variables, analytic strategy, analysis, and conclusions. Results: We conclude that several of the NCANDS variables used are invalid at the national level, and that this is sufficient to call the research into question. We find concerning issues in analytic strategy and analysis as well, many stemming from a failure to account for the serious underreporting of services in NCANDS, and the wide variability in data quality and consistency across states. We also found what we consider to be issues with their statistical analysis. Discussion: The reanalysis presented in this article shows no pattern of disparate within Child Protective Services (CPS) outcomes by race and, therefore, no support for the Briggs et al. claim of pervasive anti-Black racism within the CPS system. [ABSTRACT FROM AUTHOR]

The paper offers an analytical framework for conceptualization and research of the structure and dynamics of the agonistic self, relying on Hermans' dialogical self theory and Foucault's analytics of power. In a multiple-case study, 9 teachers participated in a two-phase Agonistic Self Interview. A deductive-inductive thematic analysis of the data yielded an analytical framework comprising 4 categories: Functions of Voices, Power Relations (with two sub-categories: Forms of Exercising Power and Practices for Exercising Power and Resistance), Types of Relations Between Voices, and Institutional Context. The paper offers the analytical concept of a strategic situation along with novel methodological tools for the research and analysis of the self as embedded in interpersonal relationships and sociocultural and institutional context. The psychological relevance of the findings is discussed in terms of relations between dominance and maintaining plurality within the self and relations between the stability and social contextualization of the self. [ABSTRACT FROM AUTHOR]

Improvements in the quantification and visual analysis of data, plotted across non-standardized graphs, are possible with the equations introduced in this paper. Equation 1 (an expression of graphic scale variability) forms part of the foundation for Equation 2 (an expansion on the traditional calculation of the tangent inverse of a line's algebraic slope). These equations provide clarification regarding aspects of "slope" and graphic scaling that have previously confused mathematicians. The apparent lack of correspondence between geometric slope (the angle of inclination) and algebraic slope (the m in y = mx + b) on "non-homogeneous" graphs (graphs where the scale values/distances on the y -axis are not the same as on the x- axis) is identified and directly resolved. This is important because nearly all behavior analytic graphs are "non-homogeneous" and problems with consistent visual inspection of such graphs have yet to be fully resolved. This paper shows how the precise geometric slope for any trend line on any non-homogeneous graph can quickly be determined—potentially improving the quantification and visual analysis of treatment effects in terms of the amount/magnitude of change in slope/variability. The equations herein may also be used to mathematically control for variability inherent in a graph's idiosyncratic construction, and thus facilitate valid comparison of data plotted on various non-standard graphs constructed with very different axes scales—both within and across single case design research studies. The implications for future research and the potential for improving effect size measures and meta-analyses in single-subject research are discussed. [ABSTRACT FROM AUTHOR]

Drasgow, Levine, and Zickar (1996) suggested a statistic based on the Neyman–Pearson lemma (NPL; e.g., Lehmann & Romano, 2005, p. 60) for detecting preknowledge on a known set of items. The statistic is a special case of the optimal appropriateness indices (OAIs) of Levine and Drasgow (1988) and is the most powerful statistic for detecting item preknowledge when the assumptions underlying the statistic hold for the data (e.g., Belov, 2016Belov, 2016; Drasgow et al., 1996). This paper demonstrated using real data analysis that one assumption underlying the statistic of Drasgow et al. (1996) is often likely to be violated in practice. This paper also demonstrated, using simulated data, that the statistic is not robust to realistic violations of its underlying assumptions. Together, the results from the real data and the simulations demonstrate that the statistic of Drasgow et al. (1996) may not always be the optimum statistic in practice and occasionally has smaller power than another statistic for detecting preknowledge on a known set of items, especially when the assumptions underlying the former statistic do not hold. The findings of this paper demonstrate the importance of keeping in mind the assumptions underlying and the limitations of any statistic or method. [ABSTRACT FROM AUTHOR]