Question Wording Research Articles

A missed regular sound change between Latin and French

Abstract This paper presents evidence for a regular sound change in 12th-century Old French where word-initial /k/ voiced to /ɡ/ before /la/ or /ra/. My treatment is the first to propose a unified account, as due to a regular sound change, for 13 reflexes of inherited etyma and 4 reflexes of Germanic borrowings that all exhibit velar onset voicing (VOV) contemporaneously. A dating in the late 12th century for VOV is supported by both corpus evidence and how it is bled, counterbled, and fed by other sound changes whose dating is established in prior literature. The ultimate origins of this Old French velar onset voicing most likely lie in an older and phonetically conditioned synchronic voicing process that originally operated both word-internally and at boundaries. Word-internally, where conditioning was static, the alternation became a phonemic difference and thereafter lost productivity relatively early. But synchronic alternation continued at boundaries, where its conditioning continued to depend on the adjacent word. It survived in a progressively reshaped manner word-initially, until the late 12th century, when this voicing alternation, now much narrower in scope, gave rise to VOV as a regular diachronic sound change. Previous treatment of the words in question considered each only in isolation, bypassing the chance to consider the proposed regular sound change as a possibility. Thus, this study shows the importance of considering both lexically focused approaches and the probing for regular sound changes as necessarily complementary methods.

A theoretical model for brisk walking- and running-induced lower urinary tract symptoms (BRUTS) and the development of the BRUTS-questionnaire (BRUTS-Q): A focus group and Delphi study.

Existing questionnaires provide limited information on the nature, severity and context surrounding lower urinary tract symptoms (LUTS) experienced during running, jogging and brisk walking. The aims of this study were to develop a theoretical model of the experience of LUTS by females participating in gait-based exercise activities and to use this model to generate a questionnaire to evaluate the presence, symptoms and bother associated with LUTS experienced by females during gait-based activities. A theoretical model was developed through a review of the literature and refined through a focus group consultation including pelvic health physiotherapists, females who experienced leakage during exercise and academic researchers who studied female LUTS. A draft questionnaire was developed using key constructs identified in the model by the focus group. A new expert panel was recruited, which included physiotherapists, women with self-reported gait-induced LUTS and urogynecologists. This panel followed a DELPHI process to evaluate the relevance and completeness of the constructs within the questionnaire. Two rounds of consultation were required to reach consensus on the completeness of included constructs as well as the inclusion and wording of questions. The resulting questionnaire contains questions related to five key constructs: physical activity characteristics, symptoms of urgency, urgency urinary incontinence, stress urinary incontinence experienced during exercise and management/mitigation strategies adopted by respondents. The content validity of the brisk walking- and running-induced lower urinary tracts symptoms questionnaire has been established. The next steps are to ensure that the questionnaire has adequate comprehensibility, followed by adequate measurement properties.

The social significance of slang

It is well‐established within linguistics that slang serves a group‐identifying function. In this paper, a new understanding of the notion of lexical metadata is developed to provide a philosophical treatment of said function. The proposed account explains the group‐identifying function of slang in terms of certain inferences about a speaker's group affiliations that people competent with a slang word will be disposed to make given the lexical metadata related to the word in question. The resulting view is theoretically simple and may extend to a whole range of linguistic phenomena that speakers utilize to position themselves in social space.

Accuracy of natural language processors for patients seeking inguinal hernia information.

NLPs such as ChatGPT are novel sources of online healthcare information that are readily accessible and integrated into internet search tools. The accuracy of NLP-generated responses to health information questions is unknown. We queried four NLPs (ChatGPT 3.5 and 4, Bard, and Claude 2.0) for responses to simulated patient questions about inguinal hernias and their management. Responses were graded on a Likert scale (1 poor to 5 excellent) for relevance, completeness, and accuracy. Responses were compiled and scored collectively for readability using the Flesch-Kincaid score and for educational quality using the DISCERN instrument, a validated tool for evaluating patient information materials. Responses were also compared to two gold-standard educational materials provided by SAGES and the ACS. Evaluations were performed by six hernia surgeons. The average NLP response scores for relevance, completeness, and accuracy were 4.76 (95% CI 4.70-4.80), 4.11 (95% CI 4.02-4.20), and 4.14 (95% CI 4.03-4.24), respectively. ChatGPT4 received higher accuracy scores (mean 4.43 [95% CI 4.37-4.50]) than Bard (mean 4.06 [95% CI 3.88-4.26]) and Claude 2.0 (mean 3.85 [95% CI 3.63-4.08]). The ACS document received the best scores for reading ease (55.2) and grade level (9.2); however, none of the documents achieved the readibility thresholds recommended by the American Medical Association. The ACS document also received the highest DISCERN score of 63.5 (57.0-70.1), and this was significantly higher compared to ChatGPT 4 (50.8 [95% CI 46.2-55.4]) and Claude 2.0 (48 [95% CI 41.6-54.4]). The evaluated NLPs provided relevant responses of reasonable accuracy to questions about inguinal hernia. Compiled NLP responses received relatively low readability and DISCERN scores, although results may improve as NLPs evolve or with adjustments in question wording. As surgical patients expand their use of NLPs for healthcare information, surgeons should be aware of the benefits and limitations of NLPs as patient education tools.

An action research project to evaluate a simple dictionary usage tool with year 7 students of Latin

Abstract This article investigates dictionary usage with Year 7 students of Latin. During my lesson observations I noticed how much students relied on looking up words in the dictionary when working on translation from Latin to English. I wanted to find out if there was the potential for a more interactive and/or memorable way for students to work with their dictionaries. This action research project was carried out in an all-boys, secondary, selective school. I noticed that when students were set to work on translation from Latin to English, they spent a significant amount of time looking up words in the dictionary at the back of the booklet. Often by the time they had looked up the word in question and then turned back to the translation, they had already forgotten the meaning of the word they had looked up. Additionally, the words they were looking for were words that they had already encountered several times but forgotten the meaning of since the last time they had looked it up or seen it. The research confirmed that merely copying the words that students looked up down multiple times helped them recall the vocabulary better than if they simply looked the words up.

Measuring Happiness and Life Satisfaction amongst Swedish Citizens: an Inquiry into Semantic Equivalence in Comparative Survey Research

A consistent empirical finding is that Scandinavian countries by international standards score steadily high in terms of subjectively reported levels of happiness and life satisfaction. Intrigued by previous findings in Denmark (Lolle and Goul Anderson in Metode Og Forskningsdesign 1:95–119, 2013, in Journal of Happiness Studies 6:1–14)), this paper confirms that this is partly due to language effects. In this paper, Sweden serves as a case study that, similar to the Danish study, seeks to determine whether it is possible to establish semantic equivalence between translated survey items. By using randomized experiments on a representative sample of Swedish citizens with fluent skills in English, we test the effects of different designs in question wordings and response scale labels implemented by international surveys. The results reveal significant differences in answers on happiness. While the mean differences are very small, the distribution of answers is substantial enough to confirm a strong semantic threshold between the English term happy the Swedish term lycklig. Hence, it requires something more to be “very happy” in Swedish than in English. Notably, language appears to have a lesser impact on the distribution of responses across language groups when using a numbered response scale with endpoint labels, indicating that a particular question design either mitigates or intensifies translational effects. Happiness, it is concluded, is not easily translated and survey practitioners should bear this caveat in mind when operationalizing the concept across countries and cultures.

Maximizing Potential : 5W+1H Reading Comprehension Strategy for Student with Moderate Intellectual Disability

This study aims to enhance the reading comprehension skills of elementary school students with moderate intellectual disabilities through a single-subject method. In this study, the researchers use the 5W + 1H strategy to help students understand the meaning of the text. The research data was collected using observation guidelines, which then will be analyzed by using pretest-posttest techniques to assess the subject’s reading comprehension skills improvements. Teaching the 5W + 1H principle - which emphasized the question words why and how using visual images and keywords - was found to be effective in enhancing the subject’s reading comprehension. This finding also explained that this method could maximize the potential of students with moderate intellectual disabilities. The instruction on the question words why and how was particularly effective in increasing the subject's understanding of questions as well as leading him to provide correct and contextually appropriate responses. However, using visual images as a learning aid, especially for why and how questions, seemed less effective, as evidenced by the subject's reliance on keywords within the sentence. In the future, this strategy can be employed by educators to enhance reading comprehension skills for students with moderate intellectual disabilities.

A polymorphic word in old Romanian (adjective, noun, adverb and interjection): ferice ʻgood/blessed/well, happyʼ

Consulting the main Romanian lexicographic works and taking into account some previous contributions on Romanian (diachronic) morphosyntax, the author aims to discuss the meanings of the word ferice ‘good/blessed/well, happy’ and its morphological values or syntactic implications, as they are presented in the old Romanian writings, more precisely in some old texts integrated into the SOR Corpus, enriched with new sources recently published. To this day, despite the antiquity of the word in question, it has been discussed only sequentially, which calls for revealing its morphosyntactic behavior. Consulting the main Romanian lexicographic works and taking into account some previous contributions on Romanian (diachronic) morphosyntax, the author aims to discuss the meanings of the word ferice ‘good/blessed/well, happy’ and its morphological values or syntactic implications, as they are presented in the old Romanian writings, more precisely in some old texts integrated into the SOR Corpus, enriched with new sources recently published. To this day, despite the antiquity of the word in question, it has been discussed only sequentially, which calls for revealing its morphosyntactic behavior. Therefore, it will be possible to establish much better the place and role of the word ferice ‘good/blessed/well, happy’ at the sentence level (in the old language), proposing some relevant analytical solutions, leading to some interpretative repositioning, so necessary for a proper understanding of language facts that are not always clear.

Multi-stage reasoning on introspecting and revising bias for visual question answering

Visual Question Answering (VQA) is a task that involves predicting an answer to a question depending on the content of an image. However, recent VQA methods have relied more on language priors between the question and answer rather than the image content. To address this issue, many debiasing methods have been proposed to reduce language bias in model reasoning. However, the bias can be divided into two categories: good bias and bad bias. Good bias can benefit to the answer prediction, while the bad bias may associate the models with the unrelated information. Therefore, instead of excluding good and bad bias indiscriminately in existing debiasing methods, we proposed a bias discrimination module to distinguish them. Additionally, bad bias may reduce the model’s reliance on image content during answer reasoning and thus attend little on image features updating. To tackle this, we leverage Markov theory to construct a Markov field with image regions and question words as nodes. This helps with feature updating for both image regions and question words, thereby facilitating more accurate and comprehensive reasoning about both the image content and question. To verify the effectiveness of our network, we evaluate our network on VQA v2 and VQA cp v2 datasets and conduct extensive quantity and quality studies to verify the effectiveness of our proposed network. Experimental resu- lts show that our network achieves significant performance against the previous state-of-the-art methods.

VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in Medical Visual Question Answering

Image and question matching is essential in Medical Visual Question Answering (MVQA) in order to accurately assess the visual-semantic correspondence between an image and a question. However, the recent state-of-the-art methods focus solely on the contrastive learning between an entire image and a question. Though contrastive learning successfully model the global relationship between an image and a question, it is less effective to capture the fine-grained alignments conveyed between image regions and question words. In contrast, large-scale pre-training poses significant drawbacks, including extended training times, handling substantial data volumes, and necessitating high computational power. To address these challenges, we propose the Vision-Guided Cross-Attention based Late Fusion (VG-CALF) network, which integrates image and question features into a unified deep model without relying on pre-training for MVQA tasks. In our proposed approach, we use self-attention to effectively leverage intra-modal relationships within each modality and implement vision-guided cross-attention to emphasize the inter-modal relationships between image regions and question words. By simultaneously considering intra-modal and inter-modal relationships, our proposed method significantly improves the overall performance of MVQA without the need for pre-training on extensive image-question pairs. Experimental results on benchmark datasets, such as, SLAKE and VQA-RAD demonstrate that our proposed approach performs competitively with existing state-of-the-art methods.

Understanding "Childhood Poly-Victimization" to help uncover abuse during child investigative interviewing: a systematic review.

It is well established that child victims are some of the most challenging populations to interview. Indeed, children tend to feel ashamed, scared or in denial, leading to difficulties for law enforcement when gathering information, and subsequently with prosecuting offenders. Moreover, with crimes against children increasing, it is common for interviewed victims to have experienced several abuses (poly-victimization). Thus, the main goals of this study are to (1) identify the facets that are included in poly-victimization, in order to (2) provide a clear definition that can be used by law enforcement during child interviews, which could lead to (3) a better identification of cases of abuse to maximize safeguarding and protect children. A systematic review was used to establish the differences in conceptualizations of poly-victimization as well as the measurements chosen by research to measure this concept. The current systematic review included research articles on childhood poly-victimization using a quantitative measuring instrument published as of 2007, that focused on populations under 18 years of age. The findings were divided into (1) conceptual dimensions, (2) characteristics of studies' populations and (3) measures and psychometrics properties. It was found that research used various terms for poly-victimization, yet with numerous definitions implying differences in number of abuses, time frame, and mental health aspects to be considered in the identification of poly-victimization. The included papers (n = 6) were from Europe, Asia, and the United States. Over half of the studies used the Juvenile Victimization Questionnaire (JVQ) but adapted either (i) to the study's population, (ii) possible answers, (iii) wording of questions, or (iv) by the removal of questions. Our findings highlight the need for a more theoretically coherent definition of childhood poly-victimization. Questions regarding number of abuses, time consideration (past year vs. lifetime), mental health and severity of abuse should be addressed to develop a unified definition of poly-victimization. Rapport-based interviews should be the focus to uncover the truth and to avoid a secondary trauma in the crisis of a child's disclosure of abuse. A new definition of "Childhood Poly-Victimization" is proposed by the authors as well as a "Decision Tree for Identifying Childhood Poly-Victimization" designed to be used by law enforcement during child investigative interviews.

Reading the Tea Leaves: Question Wording and Public Support for the Tea Party Movement

The emergence of the Tea Party in 2009 was a pivotal moment in American politics signaling a right-ward shift among Republican Party primary voters that would later help Donald J. Trump secure the Republican nomination for president in 2016. This article looks back in time analyzing public opinion data concerning the Tea Party movement from 2010 to 2011 examining how opinions changed over time. Specifically, two types of questions are used to plot views of the Tea Party over time: those gauging the favorability of, and support for, the movement. Findings show a decline in Tea Party support over time, with support peaking in November of 2010. This study also examines the influence of question wording on opinions of the Tea Party finding that support or favorability toward the Tea Party movement can vary significantly, depending on the options given to respondents. The implications of these results for the Tea Party movement, and the measurement of public opinion, are also explored.

Information Sources for Word Meaning in Children’s Picture Books: A Human Simulation Paradigm Study

ABSTRACT Picture book reading is widely regarded as an activity that promotes multiple aspects of children’s language acquisition, including their vocabulary development. Historically, researchers interested in what underlies the link between picture book reading and vocabulary development have investigated a suite of caregiver behaviors during picture book reading that might support learning. More recently, with the advent of modern text analytic tools, researchers have begun to look at the properties of the picture books themselves and have revealed many ways in which the language in picture book text may support learning. The current study adds to this growing literature but focuses not only on how the language in picture books might support word learning but also on how its visual content supports learning. In an adaptation of the Human Simulation Paradigm applied to commonly read picture books to English-learning children, the current study involved adults (N = 96). Results showed that a word’s linguistic and visual contexts in picture books are both valuable sources of information about that word’s meaning, and that their relative contributions may vary as a function of the book’s target audience and the word in question. Moreover, the combined visuo-linguistic context may be an especially valuable source of information for word learning. The implications of this work for the mechanisms by which picture books contribute to word learning are discussed.

Attitudes and Behaviours Regarding COVID-19 Mitigation Strategies in Australians With an Underlying Health Condition: A Cross-Sectional Study.

Public health strategies have focused on preventing and slowing the transmission of COVID-19 by promoting the uptake of mitigation strategies. However, little is known about the uptake of these strategies in the presence of underlying health conditions. To describe the attitudes and behaviours of a sample of Australians towards COVID-19 mitigation strategies, and determine if uptake of these strategies differed across different health conditions. Cross-sectional study. National survey of Australian residents over 18 years. A purpose-built survey was used to collect participants' attitudes and behaviours towards COVID-19 mitigation strategies. Over half (53%) of the 2867 participants (99% completion rate) reported having one or more comorbidities. The most commonly self-reported health condition was cardiometabolic conditions (28%). Most participants disagreed that masks were no longer needed (74%) and wanted the 5-day isolation mandate (66%). More than one-third would like masks to be mandated for indoor spaces (38%) and 25% avoided going to hospitals. Participants with allergies (OR 1.37; 95% CI 1.14, 1.65), cardiometabolic (OR 1.49; 95% CI 1.23, 1.79), respiratory (OR 1.32; 95% CI 1.07, 1.62) and neurological (OR 1.62; 95% CI 1.12, 2.32) conditions were more likely to avoid using public transport compared to those without. In contrast, participants with underlying mental health conditions were less likely to use N95/P2 facemasks in public spaces (OR 0.46; 95% CI 0.25, 0.87) compared to those without. A substantial proportion of Australians continued to adopt COVID-19 mitigation measures or expressed a desire for more mitigations, including mandatory isolation for COVID-19, despite the lack of mandates. People with an underlying health condition who represent more than half of all adults appear to be more careful with mitigations to avoid COVID-19. Members of the public were invited to participate in a soft launch of the survey between 4th and 5th January 2023 to test flow and functionality, and to allow the final wording of survey questions to be refined as required.

Linking survey and Facebook data: mechanisms of consent and linkage

ABSTRACT Using a German online panel, we investigate respondents’ propensity to consent to the linkage of publicly available Facebook data to their survey data and to enable linkage. We analyse the effects of three experimental variations on consent and linkage among Facebook users: (1) the consent question wording, (2) the position of the Facebook consent question in a series of consent questions, and (3) the incentive offered. To describe potential selection bias, we consider respondents’ attitudes and sociodemographic characteristics. We found effects of consent question placement on consent and linkage and effects of higher incentives on linkage, but we found no effects of question wording. Our analysis also showed that linkage was dependent on privacy and data security concerns, trust in the data-collecting actor, respondents’ attitudes toward surveys, and several sociodemographic characteristics.

Linking Survey and LinkedIn Data: Understanding Usage and Consent Patterns

Abstract Linking social media and survey data allows researchers to create novel metrics, track survey respondents longitudinally, and capture real-time intricate data. LinkedIn is a social networking platform with a strong emphasis on employment and business interactions which has not been explored in a survey data linkage context previously. Using a nationally representative panel survey, we explore the feasibility of linking survey and LinkedIn data. Our analysis focuses first on understanding the demographic profile of LinkedIn users in the UK, as understanding this context shows the coverage of who can be asked to consent. We then explore consent outcomes, assessing the impact of question placement and wording on participants’ willingness to link data, and identifying other factors associated with LinkedIn consent. Our findings reveal that a notable proportion of respondents have a LinkedIn account, indicating a higher usage rate compared to previous research. Employment status, education level, and income are key determinants of having a LinkedIn account. Unlike previous studies, consent placement and wording does not have a significant influence on participants’ willingness to link LinkedIn and survey data. However, social media posting frequency and possessing a university degree are associated with higher consent rates. Although LinkedIn users differ on certain demographic characteristics, the platform’s unique focus on professional networking and career-related activities presents valuable opportunities for investigating employment and economic outcomes.

Summary of the Centers for Disease Control and Prevention's Self-reported Traumatic Brain Injury Survey Efforts.

Surveillance of traumatic brain injury (TBI), including concussion, in the United States has historically relied on healthcare administrative datasets, but these methods likely underestimate the true burden of TBI. The Centers for Disease Control and Prevention (CDC) has recently added TBI prevalence questions to several national surveys. The objective of this article is to summarize their recent efforts and report TBI prevalence estimates. Surveys. Adult and youth respondents to a series of national surveys. Recent nationally representative surveys with either 12-month or lifetime TBI prevalence questions were identified. For each data source, survey methodology, TBI definition, question wording, and prevalence estimates were examined. TBI prevalence varied depending on the question wording and data source. Overall 12-month prevalence of concussion/TBI among adults ranged from 2% to 12% while overall lifetime prevalence of concussion or TBI ranged from 19% to 29%. Overall 12-month prevalence of concussion/TBI among children and adolescents was 10% while 12-month prevalence of sports- and recreation-related concussion for youth ranged from 7% to 15%. Overall lifetime prevalence of TBI among youth ranged from 6% to 14%. Survey data based on self-reported concussions and TBIs resulted in larger prevalence estimates than would be expected based on traditional surveillance methods. Analyses of the various surveys shows that how the questions are asked and what terminology is used can notably affect the estimates observed. Efforts can be made to optimize and standardize data collection approaches to ensure consistent measurement across settings and populations.

Development and validation of a US quality of life instrument for hereditary angioedema due to C1 inhibitor deficiency

BackgroundHereditary angioedema (HAE) attacks are unpredictable, cause a substantial and enduring burden of illness, and are potentially fatal. Because of issues unique to the US health care system, there is a need for a US-validated, HAE-specific quality of life (QoL) instrument. ObjectiveTo develop and validate a US HAE-specific QoL instrument according to US Food and Drug Administration guidelines and established methodologies. MethodsWe generated 41 QoL-related items likely relevant to US patients with HAE due to C1 inhibitor (C1INH) deficiency (HAE-C1INH) and performed a 10-patient pilot study to refine the question wording. A total of 415 US patients with HAE-C1INH completed the initial 41-item instrument online, thereby providing data for item reduction, factor analysis, and the assessment of validity and reliability. We used a multiple linear regression to identify the drivers of the total and domain scores. Convergent validity analysis was used to assess the extent to which the HAE-C1INH QoL instrument (HAE-C1INH-QoL) is theoretically related to the angioedema-QoL instrument (AE-QoL). ResultsItem reduction and factor analysis yielded a final instrument of 31 items across 5 domains, and the assessment analysis showed that the HAE-C1INH-QoL is valid and reliable. Attack frequency and severity were statistically significant factors that influenced the total and domain scores. Correlation analysis of the 2 instruments indicated that 8 items of the HAE-C1INH-QoL were not included or well-described in the AE-QoL. ConclusionThe HAE-C1INH-QoL is the first HAE-specific QoL tool validated in the United States. When compared with the AE-QoL, the items in our instrument are more relevant to US patients with HAE.

A medical visual question answering approach based on co-attention networks

Recent studies have introduced attention models for medical visual question answering (MVQA). In medical research, not only is the modeling of "visual attention" crucial, but the modeling of "question attention" is equally significant. To facilitate bidirectional reasoning in the attention processes involving medical images and questions, a new MVQA architecture, named MCAN, has been proposed. This architecture incorporated a cross-modal co-attention network, FCAF, which identifies key words in questions and principal parts in images. Through a meta-learning channel attention module (MLCA), weights were adaptively assigned to each word and region, reflecting the model's focus on specific words and regions during reasoning. Additionally, this study specially designed and developed a medical domain-specific word embedding model, Med-GloVe, to further enhance the model's accuracy and practical value. Experimental results indicated that MCAN proposed in this study improved the accuracy by 7.7% on free-form questions in the Path-VQA dataset, and by 4.4% on closed-form questions in the VQA-RAD dataset, which effectively improves the accuracy of the medical vision question answer.

Discrepancies in prevalence estimates of suicidal ideation and attempts in 18- to 22-year-old US college students: a comparison of three surveys.

Suicidal thoughts and behaviors (STB) have been increasing among US college students. Accurate measurement of STB is key to understanding trends and guiding suicide prevention efforts. We aimed to compare the prevalence estimates of STB among college students from two campus-based surveys (the National College Health Assessment [NCHA] and the Healthy Minds Study [HMS]) and one general population study (the National Survey on Drug Use and Health [NSDUH]). Estimates were generated from the three surveys for past year suicidal ideation (PYSI) and past year suicide attempts (PYSA) among 18- to 22-year-old full-time college students. Data were combined from each survey to develop bivariate and multivariate regression models for odds of PYSI and PYSA. Estimates for PYSI varied between the three surveys: 34.3% for NCHA, 15.0% for HMS, and 10.7% for NSDUH. Estimates for PYSA were 2.6% for NCHA, 1.6% for HMS, and 1.7% for NSDUH. After adjusting for demographic and educational characteristics, odds of PYSI remained significantly lower for HMS participants (aOR 0.31, 95% CI 0.29-0.33) and NSDUH participants (aOR 0.19, 95% CI 0.19-0.30) compared to NCHA participants. The odds of PYSA for HMS participants were lower than those for NCHA participants (aOR 0.63, 95% CI 0.54-0.73). Estimates of PYSI and PYSA vary between leading sources of data on college student mental health. The differences are likely related to question wording, survey implementation, as well as institutional and individual representation. Accounting for these differences when interpreting estimates of STB can help guide suicide prevention efforts.