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Objectives Advance care planning (ACP), which comprises a living will, durable power of attorney for healthcare (DPAHC), and end-of-life discussions, is an inherently relational process. However, it is unclear how marital status affects men's and women's ACP over the life course. Drawing on social control and gender-as-relational frameworks, we examine marital status differences in ACP and how these patterns differ by gender and age. Methods Data are from the 2020 Health and Retirement Study (HRS), a representative sample of U.S. older adults (N  = 7,074). We estimate logistic regression models to evaluate whether marital status differences in ACP are moderated by age and gender, and multinomial logistic regressions to examine age and gender differences in DPAHC designations among married parents. Analyses are adjusted for sociodemographic and health covariates. Results Multivariable analyses revealed significant moderation effects for discussions only. Among married/cohabiting persons, women are more likely than men to have end-of-life discussions, with gender differences diminishing slightly at oldest ages. Among divorced persons in their 60s and 70s, women are much more likely than men to have had discussions, although this gap converges among the oldest-old. Conversely, young-old widowed men and women are equally likely to have discussions, although women are increasingly likely to do so with advancing age. Men are more likely than women to name their spouse as DPAHC, yet this gap diminishes with age. Discussion Healthcare providers can better guide end-of-life consultations if they understand how men's and women's family relationships change with advancing age. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Gaps exist in the understanding of the etiology of poor sleep quality after lung transplantation. Research Question: What factors are associated with poor sleep quality in lung transplant recipients? Design: A quantitative, single-site, cross-sectional study used an anonymous survey based on 3 scales. The Pittsburgh Sleep Quality Index scale with scores dichotomized to poor versus good sleepers based on the cutoff score > 8. The Hospital Anxiety and Depression Scale evaluated symptoms of anxiety and depression, and the Short Form-12 measured health-related quality of life using the mental and physical component scores. Additional self-reported data included demographic and transplant-related variables. Results: The response rate was 38.4% (61/158), and 52.5% of the sample (32/61) evidenced a Pittsburgh Sleep Quality Index score > 8, suggestive of poor sleep quality. Bivariate analyses demonstrated that poor sleep was significantly related to symptoms of depression (P <.01), anxiety (P <.01), stressors of hospitalization (P <.05), and treatment of acute rejection (P <.05). Multivariate analysis demonstrated that anxiety was significantly associated with poor sleep (odds ratio = 1.34, P <.05). Conclusion: Poor subjective sleep quality remains prevalent in lung transplant recipients. Individuals with anxiety symptoms were at a greater risk for poor sleep. Guidance for strategies to improve sleep quality requires further in-depth exploration before implementation of interventions. [ABSTRACT FROM AUTHOR]

Background: The aim of the current study is to understand Americans' attitudes toward deceased organ donation and to assess their level of acceptance on positions toward organ donation. Methods: In summer and winter of 2023, 2 national samples completed measures of attitudes toward donation, reported their registration status, rated positions related to donation, and provided demographic information. Results: Data from 2 samples indicated registration estimates between 50% and 57% and a significant proportion of those unregistered reported reluctance to register. The believability of national registry estimates and ratings of acceptability of 9 organ donation positions differed by registration status. Conclusion: Mass media and motor vehicles interventions seeking to increase registration rates should take into consideration individual attitudes and support toward donation may not be as strong as once thought. [ABSTRACT FROM AUTHOR]

Introduction: Patients are at risk of hospital readmission after kidney and liver transplantation due to the complexity of posttransplant care. Currently, clinical practice relies on providers' prediction since there is a lack of specific strategies. However, the accuracy of clinicians' ability to predict readmissions using clinical judgment alone is unknown. Research Question: What is the accuracy of clinicians' ability to predict readmissions after transplantation using clinical judgment alone? Design: In 2019, clinical providers at a large, urban transplant center were electronically surveyed. Primary surgeons, nephrologists, transplant pharmacists, hepatologists, and nurses were asked, within 24 h of any kidney or liver transplant recipient discharge, to predict whether a patient would be readmitted within 30 days, and the suspected causes of readmission. Prediction accuracy was assessed by sensitivity, specificity, positive and negative predictive value, and F-score. Kappa scores were calculated to assess agreement between transplant surgeons and other providers. Results: Overall, N = 34 unique providers were surveyed about 148 kidney and 63 liver transplant recipients, and 27.0% of kidney recipients and 25.4% of liver recipients were readmitted within 30 days. The positive predictive values were low among clinical providers, ranging from 0.25 to 0.55. Agreements between providers were weak, but higher among kidney transplant providers (range: 0.42-0.44) than for liver transplant providers (range: −0.02-0.26). Conclusion: Clinical judgment alone to predict readmission among transplant recipients may not be sufficient and a combination of clinicians' predictions, multitiered discharge surveillance strategies and data-based predictive models may better identify high-risk patients and guide interventions to reduce readmission. [ABSTRACT FROM AUTHOR]

Although the considerable body of research on control variables offers best practice recommendations, there are still shortcomings in their application in published research papers. Consequently, a significant proportion of quantitative studies lack rigor in how they apply control variables. Additionally, existing literature on control variables is primarily technical, with noticeable lack of accessible guidance that could benefit both seasoned and novice researchers. In fact, there is a need for more elaboration in non-technical terms to enhance our understanding of effective control variable usage. Therefore, the objectives of this editorial are twofold. First, we elaborate on five key issues related to control variables, including a clear, easy-to-understand explanation of what a control variable is, its advantages and complications, and the issues associated with under- or over-controlling variables. Second, we provide guidelines that are easy to follow for any researcher, whether experienced or novice. In doing so, we clarify several ambiguities and offer straightforward explanations of issues related to control variables. We hope that these guidelines will assist researchers—whether lecturers or students—by providing clear directions on the appropriate use of control variables.

Copyright of Ekonomista is the property of Polskie Towarzystwo Ekonomiczne & Institute of Economic Sciences of the Polish Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Higher degree research students in education are largely underprepared for understanding or employing statistical data analysis methods. This is despite their need to read literature in their field which will indubitably include such research. This weakness may result in students choosing to use qualitative or interpretivist methodologies, even though education data are highly complex requiring sophisticated analysis techniques to properly evaluate the impact of nested data, multi-collinear factors, missing data, and changes over time. This paper describes a research methods course at a researchintensive university designed for students in a thesis-only degree program. The course emphasizes the logic and conceptual function of statistical methods and exposes students to hands-on tutorials in which students are required to conduct analyses with open-access data. The first half of the 12-week course focuses on core knowledge, normally taught in first-year probability and statistics courses. The second half focuses on introducing and modeling advanced statistical methods needed to handle complex problems and data. The course outline is provided along with descriptions of teaching and assessments. This exemplar functions as a potential model of how relative novices in statistical methods can be introduced to a conceptual use of statistical methods to raise the credibility of research. [ABSTRACT FROM AUTHOR]

The purpose of this study is to review and reflect upon the qualitative and quantitative methods applied and lessons learned in the process of completing the project "Creating accessibility and usability of digital library (DL) guidelines to support blind and visually impaired (BVI) users." This study focuses on the following issues: 1) The recruitment of BVI users, scholars/experts, and DL developers and associated challenges and solutions; 2) The use of data collection methods for diverse DL stakeholders and associated challenges and solutions; 3) The application of data analysis techniques and associated challenges and solutions. It is a challenge to recruit large numbers of BVI participants, and it is an effective approach to establish connections with trusted organizations and institutions - particularly BVI-related organizations - to promote the studies. Multiple data collection methods (questionnaires, think-aloud protocols, transaction logs, diaries, interviews, and focus groups) were used throughout the research project. As BVI users utilize screen readers to understand DL interfaces and simultaneously express their actions and thoughts, the challenge associated with think-aloud protocols can be resolved by offering orientation training and clear instructions. Both quantitative and qualitative data analysis methods were used throughout the project. Descriptive analysis is the most commonly employed quantitative method since statistical analysis cannot be performed due to small sample size. For qualitative analysis, it is critical for sighted researchers to understand BVI users by collaborating with blind researchers and carefully reviewing the video and transcript data to enhance the open coding process. Future research on the methodology applied in BVI-related studies is also discussed. [ABSTRACT FROM AUTHOR]

Introduction: Renal allograft hypothermic machine perfusion results in a decreased incidence of delayed graft function compared with static cold storage. Ensuring perfusate temperatures remain within the target range of 4-10 °C may impact delayed graft function rates. Project Aims: To identify whether this target was achieved and, if not, whether higher perfusate temperature was associated with delayed graft function. Design: In this retrospective cohort study, transplanted grafts from deceased donors placed on hypothermic machine perfusion pump from June 2019 to August 2020 were analyzed. Measurements were recovered after 5, 15, 60, and 180 min of perfusion. Univariable and multivariable analyses were performed to identify predictors of delayed graft function. Results: A total of 113 grafts from 94 donors were analyzed. Of these, 21 (19%) developed delayed graft function. On univariable logistic regression, variables associated with delayed graft function included older donor age (OR 1.08, P =.002), higher Kidney Donor Profile Index score (OR 1.03, P =.024), and higher 5-min perfusate temperature (T5 min; OR 1.49, P =.014). A higher T5 min was also associated with delayed graft function in multivariable logistic regression models (OR 1.58, P =.005; OR 1.37, P =.08). Grafts with T5 min >10 °C were more likely to experience delayed graft function than those with T5 min <10 °C (OR 4.5, P =.006). Conclusion: Higher early perfusate temperature was an independent predictor of delayed graft function and may be due to inadequate cooling of the circuit prior to placing grafts on pump. Quality improvement initiatives targeting early perfusate temperatures of ≤10 °C may reduce delayed graft function incidence. [ABSTRACT FROM AUTHOR]

Introduction: Living donor discussions in which kidney transplant candidates discuss living kidney donation with their social network are an important step in the living donor kidney transplant process. No prior research has investigated whether who initiates discussion or influences evaluation agreement rates or how these processes may contribute to disparities. Research Questions: This study aimed to determine how common candidate- and potential-donor-initiated discussions were, at what rate each discussion type resulted in agreement to be evaluated for living donation, and what sociodemographic characteristics predicted living donor discussion and agreements. Design: A 2015 cross-sectional survey at a single, large Southeastern US transplant center measured kidney transplant candidates' social networks, including whether they had a donor discussion, who initiated it, and whether the discussion resulted in the donor evaluation agreement. Candidate-network member pairs' probability of having a candidate-initiated discussion, potential-living donor-initiated discussion, or no discussions were compared in multinomial logistic regression, and the probability of the discussion resulted in evaluation agreement was evaluated in multinomial logistic regression. Results: Sixty-six kidney transplant candidates reported on 1421 social network members. Most (80%) candidate/network-member pairs did not have a living donor discussion, with candidate-initiated discussions (11%) slightly more common than potential-donor-initiated discussions (10%). Evaluation agreement was much more common for potential-donor-initiated (72%) than for candidate-initiated discussions (39%). Potential-donor-initiated discussions were more common for White candidates (16%) than for Black candidates (7%). Conclusion: Potential-donor-initiated discussions resulted in evaluation agreement much more frequently than candidate-initiated discussions. This dynamic may contribute to racial living donation disparities. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper, of a methodological nature, aims to discuss the use of quantitative methods in tourism history. As a first step, we will endeavour to understand why this type of approach has been little used by historians who have studied the two-sided object, tourism, both a social leisure activity and an economic service sector. The difficulty of finding relevant figures to quantify developments, particularly at the regional level, will be at the heart of our discussion. Indeed, the statistical series are largely incomplete until at least the beginning of the 20th century. As a second step, the purpose will focus on the relevance of such approaches for the analysis of regional tourism. Based on the case of the Lake Geneva region and its main tourist centres (Geneva, Lausanne, Vevey-Montreux and Évian), the analysis will underline the multiple methodological contributions of the reconstruction of statistical series from historical sources, while pointing out the difficulties and limitations of such a work. By showing trends on graphs, the quantitative data reconstructed not only confirmed or refuted certain research hypotheses, but also brought to light new questions and challenged stereotypes long used in historiography. The statistical series also made it possible to develop a comparative approach with other Swiss tourist centres, which revealed certain specificities of the Lake Geneva region. Two areas of quantification will be compared successively: the evolution of the tourism economy and that of the tourism offer in the transport and hotel sectors.

Probation has received relatively little research attention. In this exploratory two-study inquiry, we first analyzed quantitative data to identify factors driving probation revocation in Pulaski County, Arkansas, among 10,260 individuals (mostly male and African American) between 2015 and 2019 (Study 1). We found individuals with felony histories were significantly more likely to be revoked (aOR 17.2 for one or two convictions; aOR 25.1 for three or more convictions). Other predictors include lower education, younger age at first sentence, unemployment, and substance use. In Study 2, we conducted 20 in-depth qualitative interviews with 12 key stakeholders and 8 individuals with probation experience. We found that client financial instability, substance use and mental health disorders, stakeholder risk avoidance, officer caseload, and lack of accessible resources/services contributed to probation revocation. We conclude with recommendations for changes to probation policy and practice, including officer training, alternatives to incarceration, service expansion, and community engagement. [ABSTRACT FROM AUTHOR]

Copyright of European Journal of Social Work is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Many studies of Black–White disparities in living donor kidney transplantation hypothesize that they were partially due to Black–White differences in candidate social network access to healthy, willing donors. This differential access hypothesis has not been tested using directly measured social network data. Research Questions: Do black kidney transplant candidates have perceived lower social network access to health and/or willing living donors than white candidates? Design: A cross-sectional survey that measured the social network members was collected in 2015. Black–White differences in patient counts of perceived healthy and/or willing potential donors in social networks, and individual network members' probability of being perceived healthy and/or willing, were compared using logistic and negative binomial regression models. Results: The survey included 66 kidney transplant candidates reporting on 1474 social network members at a large Southeastern US transplant center in 2015. Black and White patients had similar access to perceived healthy, likely potential donors (86% vs 87% had 1 or more, P =.92; 5.91 vs 4.13 mean counts, P =.20) and perceived healthy, agreed potential donors (56% vs 48%, P =.54; 1.77 vs 1.74, P =.97). Black patients' network members were individually more likely to be perceived healthy and likely potential donors (26% vs 21%, P =.04), and White patients' network members were more likely to have agreed (13% vs 9%, P =.03), but these differences were statistically insignificant in demographically adjusted models. Conclusion: Black and White transplant candidates perceived access to similar numbers of potential donors in their social networks. This result does not support the differential access hypothesis. [ABSTRACT FROM AUTHOR]

Purpose: Malignancy after heart transplantation is associated with poor outcomes. At present, no prediction model exists for any malignancy within the first year after transplant. Methods: We studied adults who underwent heart transplantation included in the multicenter, national Scientific Registry of Transplant Recipients from January 2000 through April 2021. Possible predictors of malignancy were identified based on their known association with malignancy. Multiple imputations were conducted for missing values using predictive mean matching. A multivariable logistic regression model for predicting malignancy development within the first year after transplant was developed and internally validated via 500 bootstrapped samples to estimate the optimism-corrected measures of model accuracy and performance. Results: Among the 47 212 recipients comprising 16% females, 76% whites, 7% with prior malignancy, and a median age of 56 years; 865 (2.3% of those with non-missing data) developed malignancy within the first year after transplant. Prior malignancy, older age at heart transplantation, white race, and nonischemic heart failure etiology were the strongest predictors of new malignancy. The optimism-corrected model had modest discrimination (C-statistic: 0.70, 95% CI: 0.69-0.72) and good calibration and performance (calibration slope: 0.96; Cox-Snell R2: 0.063), particularly at lower predicted risk. A nomogram for the practicing clinician was developed. Conclusions: Using selection variables previously linked to cutaneous malignancy, our model was modestly predictive of the development of any malignancy in the first year after heart transplantation. Future research could identify factors that may improve malignancy prediction, including incorporation of time-to-event data. [ABSTRACT FROM AUTHOR]

Affix rivalry is a key element in the organization and evolution of derivational systems. Its study provides insight into word-formation semantics, morphological change, productivity, lexical variation, and the many-to-many relationship between form and meaning. Affix rivalry is characterized by its gradient nature and the multiplicity of factors that can be involved in its resolution. On the one hand, rival affixes can be regarded as more or less competing depending on their semantic similarity and on the proportion of semantic functions they have in common. On the other hand, the distinction between rival affixes can rely on different linguistic properties, including not only semantic, but also phonological, morphological, syntactic, stylistic, and sociolinguistic properties. Differences are observed as tendencies and have a variable influence on affix selection. Quantitative methods can be used to precisely assess degrees of rivalry and multifactorial resolution of competition. Based on the statistical analysis of large sets of derivatives, they can provide an accurate description of affix rivalry and help us better understand the mechanisms of competition in word formation. [ABSTRACT FROM AUTHOR]

Introduction: Donation after circulatory death (DCD) is rapidly increasing in the United States. Detailed data outlining the process from referral to organ transplantation is lacking. Project Aims: We sought to quantify differences at each stage along the referral to donation pathway by donor type. Additionally, we examined factors associated with successful DCD organ utilization. Design: This program evaluation analyzed data from a single organ procurement organization in 2018 to assess demographic and clinical predictors of progression through the donation process, including the role of first-person authorization in DCD. Descriptive statistics were examined by donation stage for demographic characteristics using chi-square; univariate and multivariate logistic regression was used to model predictors of utilization and authorization by organ type, respectively. Results: There were 2466 organ donation referrals during 2018, including 575 donations after brainstem death (DBD), 1890 controlled DCD referrals, and 1 uncontrolled DCD referral. Univariate and multivariate logistic regression models highlighted differences in authorization rates by donor type (DCD vs DBD) and by age, race, and ethnicity. Next-of-kin authorization was declined in 23% of first-person authorized potential DCD, highlighting issues related to the role of donor registration in DCD. Pre-mortem heparin administration was predictive of DCD organ utilization; donor age and warm ischemia time of less than 30 min was statistically significantly associated with DCD extra-renal organ utilization. Conclusion: These results provided insight into strategies for increasing authorization and transplantation of organs from DCD donors and identified areas of improvement for process standardization and policy development. [ABSTRACT FROM AUTHOR]

Introduction: The growing practice of living liver donation requires comprehensive understanding of the financial implications for living liver donors. While obtaining and maintaining insurance is important to financial health, little is known about the impact of liver donation on future insurability. Research Questions: The purpose of this study was to evaluate the donors' experiences with insurance following donation and identify the insurance provider-driven factors that contribute to donor insurability. Design: A two center cohort of living donors with donation between January 2000 and December 2018 (N = 442) were surveyed about postdonation insurance experiences. To understand insurance provider practices towards liver donors, life (n = 11) and disability (n = 4) insurance underwriters were asked to provide policy quotes for a standardized living liver donor profile. Results: Responses (N = 101) were received by August 2020 (response rate = 22.9%). Living liver donors reported owning life (58%), disability (35%), and medical (87%) insurance at rates comparable to the general population with low proportions reporting difficulty obtaining these insurance types (9%, 9%, 4%, respectively). Post-donation life insurance ownership was associated with post-donation employment (P = 0.01). Underwriter responses indicate life and disability insurability were adversely affected up to 12 months following donation. Conclusions: Living liver donors did not have difficulty maintaining insurance in the long-term but should be counseled to purchase insurance prior to surgery as short-term insurability may be affected. Perception of difficulty obtaining insurance following donation remains of significant concern among living donors. Further collaboration between the transplant community and insurance companies is warranted. [ABSTRACT FROM AUTHOR]

Emotional eating (EE; defined as overeating irrespective of satiety and in response to emotional states) develops within childhood, persists into adulthood, and is linked with obesity. The origins of EE remain unclear, but parental behaviours (e.g., controlling feeding practices and modelling) and child characteristics (e.g., temperament) are often implicated. To date, the interaction between these influences has not been well investigated. This study explores whether the relationship between parent and child EE is shaped by parental feeding practices, and if the magnitude of this relationship varies as a function of child temperament. Mothers (N = 244) of 3–5‐year‐olds completed questionnaires about their EE, feeding practices, their children's EE and temperament. Results showed that parental use of food to regulate children's emotions fully mediated the relationship between parent and child EE, and using food as a reward and restricting food for health reasons partially mediated this relationship. Analyses demonstrated that the mediated relationship between parent and child EE via use of food as a reward and restriction of food for health reasons varied as a function of child negative affect, where high child negative affect moderated these mediations. These findings suggest child EE may result from interrelationships between greater parent EE, use of food as a reward, restriction of food for health reasons and negative affective temperaments, but that greater use of food for emotion regulation may predict greater child EE irrespective of child temperament. Key messages: Child temperament moderates the significant mediating relationships between parent EE, certain parental feeding practices and child EE.Parental use of food as a reward significantly mediates the relationship between parent and child EE only for children who are medium or high in negative affect.Parental restriction of food for health reasons significantly mediates the relationship between parent and child EE only for children who are high in negative affect.In children who are low in negative affect, parental rewarding and restrictive feeding practices do not mediate the relationships between parent and child EE.Models of eating behaviour should consider how child characteristics can shape the expression and influence of behaviours that are known to place children at greater risk of obesogenic eating behaviours. [ABSTRACT FROM AUTHOR]

This study reviews 1,406 research articles published between 2016 and 2020 in the European Journal of Social Work (EJSW), the British Journal of Social Work (BJSW) and Research on Social Work Practice (RSWP). It assesses the proportion and complexity of quantitative research designs amongst published articles and investigates differences between the journals. Furthermore, the review investigates the complexity of the statistical methods employed and identifies the most frequently addressed topics. From the 1,406 articles, 504 (35.8 percent) used a qualitative methodology, 389 (27.7 percent) used a quantitative methodology, 85 (6 percent) used the mixed methods (6 percent), 253 (18 percent) articles were theoretical in nature, 148 (10.5 percent) conducted reviews and 27 (1.9 percent) gave project overviews. The proportion of quantitative research articles was higher in RSWP (55.4 percent) than in the EJSW (14.1 percent) and the BJSW (20.5 percent). The topic analysis could identify at least forty different topics addressed by the articles. Although the proportion of quantitative research is rather small in social work research, the review could not find evidence that it is of low sophistication. Finally, this study concludes that future research would benefit from making explicit why a certain methodology was chosen. [ABSTRACT FROM AUTHOR]

In stone artefact studies, researchers often rely on qualitative classifications to describe flake scar arrangements on cores. While this approach provides a broad overview of core reduction patterns, its application can be ambiguous due to the three-dimensional complexities of core geometry and the subjective nature of qualitative classifications, making it challenging to objectively compare flake scar patterning across different analytical settings. In this study, we present a new approach to quantify one aspect of flake scar arrangement on cores: the three-dimensional orientation of core scar negatives. Using standardised digital and experimentally flintknapped cores, we demonstrate that statistical techniques from fabric analysis can quantitatively characterise the scar orientation profile of cores. Importantly, this method is able to reveal variations in the flake scar arrangements of informal cores, such as multiplatform cores. When applied to a sample of multiplatform cores from the Homo floresiensis type-site of Liang Bua in Indonesia, we identify differences in flake scar orientation between cores made by Homo floresiensis and those manufactured by modern humans who utilised the site after the disappearance of the extinct hominin. This finding suggests a possible divergence in stone knapping practices between the two hominin taxa at Liang Bua. Overall, our research provides a new quantitative approach to gain new insights into hominin technological behaviour through stone artefact analysis. It also highlights the potential of 3D analysis for advancing the field of archaeological lithic research. • A new method for quantifying the 3D orientation of flake scars on cores. • Major core types can be differentiated on the basis of flake scar orientation data. • Effective in characterising scar pattern variability among multiplatform cores. • Detected scar orientation differences at the Homo floresiensis site of Liang Bua. [ABSTRACT FROM AUTHOR]

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization. [ABSTRACT FROM AUTHOR]

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization.

Copyright of Revista Ágora is the property of Universidade do Contestado and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Opara: Ciências Contemporâneas Aplicadas is the property of Revista OPARA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Political Science has been dominated by quantitative methods and formal theory. Recently, even the editorial board of the American Political Science Review implicitly admitted the domination of statistics and rational choice in the discipline. Yet most books asking big questions have been written by scholars who employ qualitative, particularly comparative historical, methods. Over the last two decades, Daniel Philpott has produced books and articles that primarily employ qualitative methods and examine the causal relationship between ideas and international politics. He has explored such relevant and diverse issues as ideational revolutions and sovereignty, religions and democratization, peace and reconciliation, and religious freedom in the world. [ABSTRACT FROM AUTHOR]

Statistical paradigms limit the perspective and tools social work researchers use to study the world and answer questions impacting people and policy. Currently, quantitative social work researchers overwhelmingly rely on the frequentist paradigm of statistics. This paper discusses foundational differences between the frequentist and Bayesian statistical paradigms, describes basic concepts of Bayesian analysis, compares Bayesian and frequentist statistical analysis for a sample social work problem, and introduces two types of causal analyses built on Bayesian statistical thinking: counterfactual causality, and causality based on work by computer scientist Judea Pearl. Implications for social work research are discussed. [ABSTRACT FROM AUTHOR]

Copyright of Turismo: Visão e Ação is the property of Turismo-Visao E Acao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

While most sociology majors must take a statistics course, the content of this course varies widely across departments. Starting from the assumption that sociology students should be able to engage effectively with the sociological literature, this article examines the statistical techniques used in 2,804 journal articles—from four generalist sociology journals from 1990 to 2019 and 11 additional sociology journals from 2019—in order to assess which techniques have risen or fallen in prevalence. Although stalwarts such as ordinary least squares regression, chi-square tests, and t tests maintain strong presences, the rise of logistic regression, interaction effects, and multilevel models has been dramatic. After assessing the proportion of articles students hypothetically could understand given various levels of statistical training, the article ends with suggestions for how to revamp the statistics course to help our students become more numerate citizens, both in their sociology courses and in the world at large. [ABSTRACT FROM AUTHOR]

Researchers misunderstand their role in creating ethical problems when they allow dogmas to purportedly divorce scientists and scientific practices from the values that they embody. Cortina (J Bus Ethics. 10.1007/s10551-019-04195-8, 2019), Edwards (J Bus Ethics. 10.1007/s10551-019-04197-6, 2019), and Powell (J Bus Ethics. 10.1007/s10551-019-04196-7, 2019) help us clarify and further develop our position by responding to our critique of, and alternatives to, this misleading separation. In this rebuttal, we explore how the desire to achieve the separation of facts and values is unscientific on the very terms endorsed by its advocates—this separation is refuted by empirical observation. We show that positivists like Cortina and Edwards offer no rigorous theoretical or empirical justifications to substantiate their claims, let alone critique ours. Following Powell, we point to how classical pragmatism understands 'purpose' in scientific pursuits while also providing an alternative to the dogmas of positivism and related philosophical positions. In place of dogmatic, unscientific cries about an abstract and therefore always-unobservable 'reality,' we invite all organizational scholars to join us in shifting the discussion about quantitative research towards empirically grounded scientific inquiry. This makes the ethics of actual people and their practices central to quantitative research, including the thoughts, discourses, and behaviors of researchers who are always in particular places doing particular things. We propose that quantitative researchers can thus start to think about their research practices as a kind of work, rather than having the status of a kind of dogma. We conclude with some implications that this has for future research and education, including the relevance of research and research methods. [ABSTRACT FROM AUTHOR]

This case study focuses on student perceptions of managerial and technical content in a graduate analytics course taught at a small university. It describes this course’s evolution from an exclusive focus on managerial content to a new version focused on both managerial and quantitative content. The findings indicate analytics students arrive with varied perspectives about the relative importance of managerial and technical content and emerge perceiving both as equally important. The study confirms appropriate instructional design can help ensure students appreciate the role of both management and technology in analytics. [ABSTRACT FROM AUTHOR]

Background: The impact on parents of coping with a child who has cancer can be both severe and multifarious. Considerable distress persists throughout the treatment phase, persisting even after completion of treatment with heightened anxiety and stress associated with thoughts of recurrence or relapse. Aim: The purpose was to investigate the links between parents' satisfaction with the health care offered to their child with cancer and the impact on families of caring for such a child (including their health‐related quality of life) in a Middle Eastern country. Study design: A descriptive, correlational, cross‐sectional design was adopted. Arabic versions of parent‐completed, validated instruments were completed by 113 parents whose child had cancer. Results: Family relationship was found to be the best functioning domain, and daily activities were seen to be the poorest. In general, parents expressed satisfaction with their child's health care, but inadequate attention had been paid to their emotional needs. Cases in which children were reported to exhibit more emotional and behavioural problems correlated with greater negative impact on the family and disrupted family functioning. Discussion: Parental quality of life was more severely affected than family quality of life. This results from mothers taking up most of the caregiver burden, and the impact on mothers was significantly greater than that on fathers. Children were protected from stress and anxiety by their mother. This burden on mothers resulted in deficits in emotional, social and physical functioning. Practice and policy implications: Nurses and other health professionals should redress the balance between family‐centred care strategies and child‐centred approaches. Effort is needed to provide psychological support to parents by ensuring adequate preparation of staff, especially nurses, to recognise need and provide support in a therapeutic environment. Support may be needed for years after the diagnosis. This is a health professional role that may currently be neglected, and for which training is essential. [ABSTRACT FROM AUTHOR]

Data reproducibility is becoming increasingly important in the social sciences, but it has yet to be incorporated into many undergraduate sociology programs. This note describes a service-learning activity that can be added to an introductory statistics course. Students partner with a nonprofit and analyze quantitative data to answer questions selected by the agency. Reproducibility is the central mechanism of communication between the nonprofit, the students, and the course instructor. An assessment of the project suggests that students achieve an understanding of how to create reproducible data. They also come to see its value as a method of communication about data decisions. [ABSTRACT FROM AUTHOR]

Background: Understanding how nursing students in European countries perceive their future professional role is an important step in creating awareness of the diversity and similarities between countries. Investigating nursing students' perceptions of their future profession could help in the design of education and the retention of nurses. Aim: To compare nursing students' perceptions of the professional nurse's role between Belarus, Lithuania, Poland and Sweden. Method: A cross‐sectional design was implemented. The study used two scales of the Professional Nursing Image Survey, which has questions about 10 skills and abilities and 14 functions and duties of a nurse. Results: A total of 392 final‐year nursing students in four countries participated in the study. Statistically significant differences were found between countries in terms of all 10 skills and abilities and in the distribution of responses concerning functions and duties of a nurse. Conclusions: Nursing students in Belarus, Lithuania, Poland and Sweden perceive differently the role of a nurse in terms of some functions and responsibilities. This may influence the adaptation of nurses who enjoy freedom of movement among the countries. Implications for nursing policy: The knowledge gained in this study could be beneficial in improving nursing education, as it could illuminate the discrepancy between educational goals and students' perceptions of their future professional role. [ABSTRACT FROM AUTHOR]

Univariate and multivariate relationships between perfectionistic self-presentation and reactions to impairment and disability following spinal cord injury were examined. A total of 144 adults with spinal cord injury (M = 48.18 years old, SD = 15.96) completed self-report measures. Analyses revealed that, after controlling for time since injury and gender, perfectionistic self-presentation predicted six of eight reactions, shock, depression and internalised anger particularly strongly. In addition, at multivariate level, perfectionistic self-presentation was positively related to non-adaptive reactions and negatively related to adaptive reactions. The findings suggest that perfectionistic self-presentation may contribute to poorer psychosocial adaptation to spinal cord injury. [ABSTRACT FROM AUTHOR]

Context: Overuse injuries are reported to account for nearly 50% of sports injuries and due to their progressive nature and the uncertainty regarding date of onset, are difficult to define and categorize. Comparing the capture rates of overuse injuries between injury-surveillance systems and medical records can clarify completeness and determinants of how overuse injuries are represented in injury-surveillance data. Objective: To estimate the capture rate of time-loss medicalattention overuse injuries in men's and women's soccer in the National Collegiate Athletic Association Injury Surveillance System (NCAA ISS) compared with medical records maintained by certified athletic trainers and assess the differences in completeness of capture and factors contributing to those differences. Design: Capture-recapture study. Setting: Fifteen NCAA institutions provided NCAA ISS and medical record data from men's and women's soccer programs from 2005-2006 through 2007-2008. Patients or Other Participants: National Collegiate Athletic Association men's and women's soccer players. Main Outcome Measure(s): Time-loss medical-attention overuse injuries were defined as injuries with an overuse mechanism of injury in the NCAA ISS or medical records. Capture rates were calculated as the proportion of total overuse injuries classified as having overuse mechanisms in the NCAA ISS and the NCAA ISS and medical records combined. Results: The NCAA ISS captured 63.7% of the total estimated overuse mechanisms of injury in men's and women's soccer players. The estimated proportion of overuse injury mechanisms captured by both the NCAA ISS and medical records was 37.1%. The NCAA ISS captured more overuse injury mechanisms in men's soccer than in women's soccer (79.2% versus 45.0%X2 = 9.60; P = .002) athletes. Conclusions: From 2005-2006 through 2007-2008, the NCAA ISS captured only two thirds of time-loss medicalattention overuse mechanisms of injury in men's and women's soccer players. Future researchers should consider supplementing injury-surveillance data with a clinical record review to capture the burden of these injuries. [ABSTRACT FROM AUTHOR]

This mixed-method interpretive study examines the influence of five demographic characteristics or factors on the academic achievements of a cohort of 202 students through a five-year medical degree programme. A quantitative analysis was performed, analysing a series of 32 summative assessments according to racial grouping (as defined in South Africa), first language, sex, age at entry, and source of finance for study. During the cohort's third year, interviews were conducted with a stratified sample of 19 students plus six staff members, individually or in groups. Their opinions on these five factors were elicited using, as stimuli for discussion, graphs showing the performance of a previous cohort. Quantitative analysis of assessment marks demonstrated statistical differences between groups of students when examined according to race, first language, or financial support, the differences being maintained over the full five years. No significant differences were seen according to sex or age. Qualitative investigation revealed a number of opinions on, and explanations of, the differences observed. Some respondents' comments and proposed explanations seemed, at first, counterintuitive, yet appropriate to the pertaining circumstances. This study has implications for academic development, and advances the literature on diversity, and demographic factors influencing student achievement, beyond mere statistics by exploring the details of students' lives as they relate to the factors investigated. [ABSTRACT FROM AUTHOR]

Students in the United Kingdom (UK) are found to lack knowledge and skills in quantitative research methods. To address this gap, a quantitative research method and statistical analysis curriculum comprising 10 individual lessons was developed, piloted, and evaluated at two universities The evaluation found that BSW students’ (N = 81) self-efficacy improved significantly from pre- to posttest, but statistical knowledge improved only slightly and the improvement was not statistically significant. The findings point to recommendations for social work educators in the UK and beyond to consider when integrating the 10-input quantitative method curriculum and when teaching research methods and statistics to undergraduate social work students. [ABSTRACT FROM AUTHOR]

Reporting biases refer to a truncated pool of published studies with the resulting suppression or omission of some empirical findings. Such biases can occur in positive research paradigms that try to uncover correlations and causal relationships in the social world by using the empirical methods of (natural) science. Furthermore, reporting biases can come about because of authors who do not write papers that report unfavorable results despite strong efforts made to find previously accepted evidence and because of a higher rejection rate of studies documenting contradictory evidence. Reporting biases are a serious concern because the conclusions of systematic reviews and meta-analyses can be misleading. The authors show that published evidence in win-win corporate social responsibility (CSR) research tends to overestimate efficiency. The research field expects to find a positive association between corporate social performance (CSP) and corporate financial performance (CFP), and findings meet that expectation. The authors explain how this pattern may reflect reporting bias. The empirical results show strong tentative evidence for a positive reporting bias in the CSP–CFP literature but only weak tentative evidence for CSP efficiency. The study also examines which factors, such as time trends, publication outlet, and study characteristics, are associated with higher reporting biases within this literature. [ABSTRACT FROM AUTHOR]

This editorial offers new ways to ethically practice, evaluate, and use quantitative research (QR). Our central claim is that ready-made formulas for QR, including 'best practices' and common notions of 'validity' or 'objectivity,' are often divorced from the ethical and practical implications of doing, evaluating, and using QR for specific purposes. To focus on these implications, we critique common theoretical foundations for QR and then recommend approaches to QR that are 'built for purpose,' by which we mean designed to ethically address specific problems or situations on terms that are contextually relevant. For this, we propose a new tool for evaluating the quality of QR, which we call 'relational validity.' Studies, including their methods and results, are relationally valid when they ethically connect researchers' purposes with the way that QR is oriented and the ways that it is done-including the concepts and units of analysis invoked, as well as what its 'methods' imply more generally. This new way of doing QR can provide the liberty required to address serious worldly problems on terms that are both practical and ethically informed in relation to the problems themselves rather than the confines of existing QR logics and practices. [ABSTRACT FROM AUTHOR]