Showing papers on "Interview published in 2021"
TL;DR: In this article, the authors use four case studies from the Philippines, Zambia, India and Uganda to assess the challenges and opportunities of remote data collection during COVID-19.
Abstract: In-person interactions have traditionally been the gold standard for qualitative data collection. The COVID-19 pandemic required researchers to consider if remote data collection can meet research objectives, while retaining the same level of data quality and participant protections. We use four case studies from the Philippines, Zambia, India and Uganda to assess the challenges and opportunities of remote data collection during COVID-19. We present lessons learned that may inform practice in similar settings, as well as reflections for the field of qualitative inquiry in the post-COVID-19 era. Key challenges and strategies to overcome them included the need for adapted researcher training in the use of technologies and consent procedures, preparation for abbreviated interviews due to connectivity concerns, and the adoption of regular researcher debriefings. Participant outreach to allay suspicions ranged from communicating study information through multiple channels to highlighting associations with local institutions to boost credibility. Interviews were largely successful, and contained a meaningful level of depth, nuance and conviction that allowed teams to meet study objectives. Rapport still benefitted from conventional interviewer skills, including attentiveness and fluency with interview guides. While differently abled populations may encounter different barriers, the included case studies, which varied in geography and aims, all experienced more rapid recruitment and robust enrollment. Reduced in-person travel lowered interview costs and increased participation among groups who may not have otherwise attended. In our view, remote data collection is not a replacement for in-person endeavours, but a highly beneficial complement. It may increase accessibility and equity in participant contributions and lower costs, while maintaining rich data collection in multiple study target populations and settings.
50 citations
TL;DR: In this paper, the authors provide best-practice recommendations to overcome challenges in designing and conducting interviews with elite informants (EIs) based on a comprehensive and multidisciplinary literature review and information provided by subject matter experts.
Abstract: Elite informants (i.e., those in the upper echelon of organizations) are a key data source for building and testing theories in management research. We offer best-practice recommendations to overcome challenges in designing and conducting interviews with elite informants (EIs) based on a comprehensive and multidisciplinary literature review and information provided by subject matter experts (i.e., authors of recently published articles that included EI interviews). Given unique characteristics of EIs and differences compared to interviewing non-EIs, we provide recommendations on how to address challenges related to: (1) research design (e.g., what is the best order for the interviews?); (2) data collection (e.g., how can researchers access EIs? what is the best format for the interview? how can researchers obtain more honest responses?); and (3) reporting of results (i.e., what information should researchers report and to whom?). Finally, we offer suggestions for future EI research focusing on methodological issues.
41 citations
TL;DR: A systematic comparison of video-based dyadic interviews and focus groups using newly developed tools for evaluating the success of one way of doing focus groups over another finds most of the advantages that were located favoured two-person over four-person groups.
Abstract: The article introduces a systematic comparison of video-based dyadic interviews and focus groups using newly developed tools for evaluating the success of one way of doing focus groups over another
37 citations
TL;DR: In this article, the authors report the current total cost, along with the outcomes of applying to and interviewing for integrated plastic surgery residency, and identify the importance of cost to applicants and how the cost burden of residency applications is supported.
Abstract: Integrated plastic surgery remains one of the most competitive specialties within the National Resident Matching Program. Although the burden of applying to surgical residencies has been studied, the literature lacks data specific to integrated plastic surgery applicants. This study reports the current total cost, along with the outcomes of applying to and interviewing for integrated plastic surgery residency. Methods A survey was sent to applicants in the 2018-2020 integrated plastic surgery application cycles. Survey questions focused on applicant demographics and home medical school characteristics, application processes, interview attendance, interview cost, and applicant financing. Comparative and regression analyses were performed on survey responses. Results The survey was distributed to 493 applicants. An estimated 245 (49.7%) applicants responded. On average, applicants applied to 68.3 ± 16.4 (mean ± SD) programs, received 17.6 ± 11.4 interview invites, and attended 12.6 ± 5.7 of the interviews they received. On average, each applicant spent a total of $6690 ± $4045 during the interview season, with individual interviews costing $531. Residency programs providing financial assistance supplemented $73 ± $64 per interviewee, corresponding to 13.7% of per-interview cost. To cover costs, 33.8% of applicants sought additional funding, and 30.7% of applicants stated that they had supplemental income, with an average monthly supplemental income of $1971 ± $1558. Conclusions This study quantifies the recent total and per-interview cost of applying to integrated plastic surgery residency. It also identifies the importance of cost to applicants and how the cost burden of residency applications is supported.
37 citations
TL;DR: Drawing on the fields of communication and human resources management, the potential effects of web-based interviews on communication are examined through the lens of several communication theories: media richness, media naturalness and signaling.
30 citations
TL;DR: The authors adapted an efficacious virtual reality job interview intervention to autistic transition age youth, who struggle with obtaining employment, and interviewing is a critical barrier to getting a job, and used it to help them obtain employment.
Abstract: Autistic transition age youth struggle with obtaining employment, and interviewing is a critical barrier to getting a job We adapted an efficacious virtual reality job interview intervention to me
30 citations
TL;DR: Four different interaction styles for the social robot Furhat acting as a host in spoken conversation practice with two simultaneous language learners have been developed, based on interaction styles of human moderators of language cafés.
Abstract: Four different interaction styles for the social robot Furhat acting as a host in spoken conversation practice with two simultaneous language learners have been developed, based on interaction styles of human moderators of language cafes. We first investigated, through a survey and recorded sessions of three-party language cafe style conversations, how the interaction styles of human moderators are influenced by different factors (e.g., the participants language level and familiarity). Using this knowledge, four distinct interaction styles were developed for the robot: sequentially asking one participant questions at the time (Interviewer); the robot speaking about itself, robots and Sweden or asking quiz questions about Sweden (Narrator); attempting to make the participants talk with each other (Facilitator); and trying to establish a three-party robot–learner–learner interaction with equal participation (Interlocutor). A user study with 32 participants, conversing in pairs with the robot, was carried out to investigate how the post-session ratings of the robot’s behavior along different dimensions (e.g., the robot’s conversational skills and friendliness, the value of practice) are influenced by the robot’s interaction style and participant variables (e.g., level in the target language, gender, origin). The general findings were that Interviewer received the highest mean rating, but that different factors influenced the ratings substantially, indicating that the preference of individual participants needs to be anticipated in order to improve learner satisfaction with the practice. We conclude with a list of recommendations for robot-hosted conversation practice in a second language.
29 citations
TL;DR: In this paper, the authors developed and validated machine learning models within (using nested cross-validation) and across three separate samples of mock video interviews (total N = 1,073).
Abstract: Organizations are increasingly adopting automated video interviews (AVIs) to screen job applicants despite a paucity of research on their reliability, validity, and generalizability. In this study, we address this gap by developing AVIs that use verbal, paraverbal, and nonverbal behaviors extracted from video interviews to assess Big Five personality traits. We developed and validated machine learning models within (using nested cross-validation) and across three separate samples of mock video interviews (total N = 1,073). Also, we examined their test-retest reliability in a fourth sample (N = 99). In general, we found that the AVI personality assessments exhibited stronger evidence of validity when they were trained on interviewer-reports rather than self-reports. When cross-validated in the other samples, AVI personality assessments trained on interviewer-reports had mixed evidence of reliability, exhibited consistent convergent and discriminant relations, used predictors that appear to be conceptually relevant to the focal traits, and predicted academic outcomes. On the other hand, there was little evidence of reliability or validity for the AVIs trained on self-reports. We discuss the implications for future work on AVIs and personality theory, and provide practical recommendations for the vendors marketing such approaches and organizations considering adopting them. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
28 citations
TL;DR: The authors propose enforcing a cap on the number of interviews that applicants may attend through a novel interview ticket system (ITS) that would be self-enforcing and would ensure each interview represents genuine interest between applicant and program, while potentially increasing theNumber of interviews-and thus match rate-for less competitive applicants.
Abstract: The 2019 novel coronavirus (COVID-19) pandemic has led to dramatic changes in the 2020 residency application cycle, including halting away rotations and delaying the application timeline. These stressors are laid on top of a resident selection process already under duress with exploding application and interview numbers-the latter likely to be exacerbated with the widespread shift to virtual interviewing. Leveraging their trainee perspective, the authors propose enforcing a cap on the number of interviews that applicants may attend through a novel interview ticket system (ITS). Specialties electing to participate in the ITS would select an evidence-based, specialty-specific interview cap. Applicants would then receive unique electronic tickets-equal in number to the cap-that would be given to participating programs at the time of an interview, when the tickets would be marked as used. The system would be self-enforcing and would ensure each interview represents genuine interest between applicant and program, while potentially increasing the number of interviews-and thus match rate-for less competitive applicants. Limitations of the ITS and alternative approaches for interview capping, including an honor code system, are also discussed. Finally, in the context of capped interview numbers, the authors emphasize the need for transparent preinterview data from programs to inform applicants and their advisors on which interviews to attend, learning from prior experiences and studies on virtual interviewing, adherence to best practices for interviewing, and careful consideration of how virtual interviews may shift inequities in the resident selection process.
27 citations
TL;DR: Wang et al. as discussed by the authors explored how to reach a consensus on the development of cultural tourism and the sustainability of the entire rural environment from the perspective of different rights holders, and concluded that creating parking spaces, providing a comfortable resting place, facilitating the exchange of ideas, and improving the environmental literacy of the public will increase the public attention to issues such as village visibility, people interaction, ancient architecture, culture and totems, public health and transportation, and entrepreneurial development.
Abstract: The purpose of the research is to explore how to reach a consensus on the development of cultural tourism and the sustainability of the entire rural environment from the perspective of different rights holders. Using Beigang Township in Taiwan as a case study, we first conducted a questionnaire survey and analyzed 600 respondents by statistical verifications method, then used an interview method to compile suggestions from experts and scholars, and finally conducted a field survey to collect actual information. After summarizing, organizing, and analyzing all the data, the study was examined in a multivariate manner. This study concludes that creating parking spaces, providing a comfortable resting place, facilitating the exchange of ideas, and improving the environmental literacy of the public will increase the public attention to issues such as village visibility, people interaction, ancient architecture, culture and totems, public health and transportation, and entrepreneurial development, as well as address the concerns of local residents and some men and people over 31–40 years old. By doing so, we can improve community building and security, enrich cultural resources, build and develop sufficient industries, stabilize prices, obtain a safe and hygienic village environment, increase the desire to revisit, become a recommendation for family travel, and achieve the goal of sustainable development of rural environment and health.
25 citations
TL;DR: In this paper, the authors assess the potential influence of virtual interviews, social media, and virtual events on an applicant's decision to apply to, interview at, and rank residency programs.
TL;DR: In this article, a survey consisting of 24 Likert statements was administered across listservs in summer 2020 to physicians (attendings and residents who interview medical students). Medical students also received an anonymous survey and were recruited via email to participate.
Abstract: Background In response to the COVID-19 pandemic, the 2020–2021 residency interview process will undergo significant changes. Residency programme stakeholders would benefit from knowledge on what students and physicians expect from this process. Objective The purpose of the study was to describe and contrast the perspectives of student applicants and interviewing physicians related to the residency programme virtual interview process. Methods A survey consisting of 24 Likert statements was administered across listservs in summer 2020 to physicians (attendings and residents who interview medical students). Medical students also received an anonymous survey and were recruited via email to participate. Results A total of 155 individuals (104 fourth-year medical students and 51 physicians) completed a survey. Results showed students would prefer in-person interviews over virtual. Residency applicants had high agreement on the limited ability to fully assess the programme and city due to virtual interviews. Individuals with lower step 1 scores had higher agreement on preferring in-person interviews. Individuals in the lowest and highest scoring groups appear more worried about the representation of themselves as a result of virtual interviews. Furthermore, applicants feel that more weight will be placed on steps 1 and 2 scores and class ranks, and they may not be able to fully demonstrate their personality compared with interviewers. Conclusion The result of COVID-19 has created challenges and subsequent reshuffling of medical education requiring careful preparation and planning. This study provides insight for residency programmes to better understand the applicants’ expectations for the 2020–2021 residency interview and matching process.
TL;DR: In this paper, the authors discuss the advantages and disadvantages of tele-TTO interviews compared to face-to-face TTO interviews, and report on lessons learned from a project in which both personal TTO and tele-tTO interviews were conducted.
Abstract: The preferred mode of administration of time trade-off (TTO) in large-scale valuation studies is face-to-face (personal) interviews facilitated by a trained interviewer. Geographical, financial or situational constraints could complicate personal TTO interviews. When facing such constraints, the use of digital interviews, in which trained interviewers facilitate through videotelephony software (i.e. tele-TTO) may be considered. This paper aims to guide researchers in how to approach tele-TTO interviews and discusses their advantages and disadvantages. The main advantages of tele-TTO compared to personal TTO are decreased need for travel and increased flexibility of interview scheduling, which could reduce costs and may foster representative sampling. Possible disadvantages of tele-TTO are partial loss of visual cues, complications with building rapport and possible selection effects that result from differences in interview preparation. Furthermore, the paper reports on lessons learned from a project in which both personal TTO and tele-TTO interviews were conducted. The results of this project suggest that although they require a different recruitment and interview process, tele-TTO interviews are feasible and provide flexibility to the interviewer. Furthermore, tele-TTO interviews yield largely similar results. Future research should explore the role of possible selection effects and respondents’ perspective on tele-TTO interviews.
TL;DR: In this article, the authors review prior publications studying faculty and applicant experiences with web-based interviewing strategies, and describe their own residency program's recruitment strategy for a virtual interview season, including survey results of reactions by both interviewers and candidates following the first season in this new era of virtual meetings and interviews.
TL;DR: The Qualitative Pretest Interview (QPI) as mentioned in this paper is an approach that transfers the idea of negotiated common understanding in everyday communication to the clarification of meaning in draft survey questions and similar stimuli.
Abstract: Good survey research depends on asking the right questions; it is the only way to ensure that the information collected from respondents is suitable for providing good answers to our research questions. The article discusses and advocates a comprehensive consideration of qualitative-interpretive methodology in open forms of pretesting for the evaluation of draft survey questionnaires. We outline an approach we call Qualitative Pretest Interview (QPI). It transfers the idea of negotiated common understanding in everyday communication to the clarification of meaning in draft survey questions and similar stimuli. The QPI involves ascribing interview partners the role of co-experts in this process and employing methodically integrated communication strategies. This paper focusses on how QPIs are conducted. Using an example interview, we illustrate how the particular way of qualitative pretest interviewing aims at a dialogic clarification of meaning in order to reach intersubjective understanding between participant and interviewer. In the process, we gain detailed insights into how and why a certain questionnaire might not work as intended, and ideally how this might be alleviated. QPIs pursue similar goals as Cognitive Interviews but rely more systematically on qualitative-interpretive methodology.
TL;DR: The purpose of this review was to help define a virtual interview, illustrate the benefits, and offer tips to both programs and applicants on how to prepare and perform optimally on an interview day.
Abstract: On May 7, 2020, the Coalition for Physician Accountability's released "Medical Students in the Class of 2021: Moving Across Institutions for Post Graduate Training," which comprises official recommendations on keeping programs and medical students safe during the upcoming match cycle with the challenges posed by COVID-19. In these recommendations, away rotations are discouraged, and all programs are compelled to commit to virtual interviews. Unlike employers and applicants in other industries, orthopaedic residency/fellowship programs and candidates seeking those positions have not routinely conducted virtual interviews. Without in-person interviews, applicants may perceive a limited ability to demonstrate their qualifications, judge program culture, and gauge ultimate program compatibility. Likewise, programs may perceive the inability to evaluate a candidate in real time, physically show program strengths, and ultimately judge applicant compatibility. Careful preparation and execution of a virtual interview can overcome these perceived limitations, whereas benefits, such as decreased cost for both programs and applicants, can make virtual interviews appealing. The purpose of this review was to help define a virtual interview, illustrate the benefits, and offer tips to both programs and applicants on how to prepare and perform optimally on an interview day.
TL;DR: The most frequently used qualitative research method for gathering data is the interview as mentioned in this paper, and although interviews vary across different epistemological perspectives, questions are central to all inter-vi...
Abstract: Interviewing is the most frequently used qualitative research method for gathering data. Although interviews vary across different epistemological perspectives, questions are central to all intervi...
TL;DR: The authors assesses the prevalence and citation impact of academic research 1996-2019 that reports one of four common methods to gather qualitative data: interviews; focus groups; case studies; ethnography.
Abstract: Researchers, editors, educators and publishers need to understand the mix of research methods used in their field to guide decision making, with a current concern being that qualitative research is threatened by big data. Although there have been many studies of the prevalence of different methods within individual narrow fields, there have been no systematic studies across academia. In response, this article assesses the prevalence and citation impact of academic research 1996-2019 that reports one of four common methods to gather qualitative data: interviews; focus groups; case studies; ethnography. The results show that, with minor exceptions, the prevalence of qualitative data has increased, often substantially, since 1996. In addition, all 27 broad fields (as classified by Scopus) now publish some qualitative research, with interviewing being by far the most common approach. This suggest that qualitative methods teaching and should increase, and researchers, editors and publishers should be increasingly open to the value that qualitative data can bring.
TL;DR: In this article, the authors examined the opportunities for addressing evacuations by leveraging the sharing economy and provided practice-ready policy recommendations for public agencies to leverage shared resources including: communication partnerships, surge flagging, and community-based sharing systems.
Abstract: This paper examines the opportunities for addressing evacuations by leveraging the sharing economy. To support this research, we use a mixed-method approach employing archival research of sharing economy actions, 24 high-ranking expert interviews, and a survey of individuals impacted by Hurricane Irma in 2017 (n = 645). Using these data, we contribute to the literature in four key ways. First, we summarize sharing economy company actions in 30 U.S. disasters. Second, we discuss results from 24 expert interviews on 11 sharing economy benefits (ranging from resource redundancy to positive company press coverage) and 13 limitations (ranging from driver reliability to the digital divide). Experts included six directors/executives of emergency/transportation agencies, two executives of sharing economy companies, and eight senior-level agency leaders. Third, we use these interviews, specifically negative opinions of the sharing economy, to inform our Hurricane Irma survey, which contributes empirical evidence of the feasibility of shared resources. Despite just 1.1% and 5.4% of respondents using transportation network companies (TNCs, also known as ridesourcing and ridehailing) and homesharing respectively during the Irma evacuation, some respondents were extremely willing to offer their own resources including transportation before evacuating (29.1%), transportation while evacuating (23.6%), and shelter for free (19.2%) in a future disaster. We also find spare capacity of private assets exists for future evacuations with just 11.1% and 16% of respondents without spare seatbelts and beds/mattresses, respectively. Finally, we conclude with practice-ready policy recommendations for public agencies to leverage shared resources including: communication partnerships, surge flagging (i.e., identifying and reducing unfair price increases), and community-based sharing systems.
TL;DR: The Network Canvas suite of software is developed - a set of complementary tools that are designed to simplify the collection and storage of complex social network data, with an emphasis on usability and accessibility across platforms and devices, and guided by the practical needs of researchers.
TL;DR: Cognitive interviewing is a qualitative research method for improving the validity of quantitative surveys as discussed by the authors, which has been underused by academic researchers and monitoring and evaluation teams in global health, and is particularly important in Global Health when surveys involve translation or are developed by researchers who differ from the population being surveyed in terms of socio-demographic characteristics, worldview, or other aspects of identity.
Abstract: Cognitive interviewing is a qualitative research method for improving the validity of quantitative surveys, which has been underused by academic researchers and monitoring and evaluation teams in global health. Draft survey questions are administered to participants drawn from the same population as the respondent group for the survey itself. The interviewer facilitates a detailed discussion with the participant to assess how the participant interpreted each question and how they formulated their response. Draft survey questions are revised and undergo additional rounds of cognitive interviewing until they achieve high comprehension and cognitive match between the research team’s intent and the target population’s interpretation. This methodology is particularly important in global health when surveys involve translation or are developed by researchers who differ from the population being surveyed in terms of socio-demographic characteristics, worldview, or other aspects of identity. Without cognitive interviewing, surveys risk measurement error by including questions that respondents find incomprehensible, that respondents are unable to accurately answer, or that respondents interpret in unintended ways. This methodological musing seeks to encourage a wider uptake of cognitive interviewing in global public health research, provide practical guidance on its application, and prompt discussion on its value and practice. To this end, we define cognitive interviewing, discuss how cognitive interviewing compares to other forms of survey tool development and validation, and present practical steps for its application. These steps cover defining the scope of cognitive interviews, selecting and training researchers to conduct cognitive interviews, sampling participants, collecting data, debriefing, analysing the emerging findings, and ultimately generating revised, validated survey questions. We close by presenting recommendations to ensure quality in cognitive interviewing.
TL;DR: In this article, the authors present conceptual and practical ethical considerations taken into account across three telephone studies on the impact of COVID-19 conducted following India's nationwide lockdown imposed in March 2020.
Abstract: Phone-based interviews present a range of ethical challenges, including how to ensure informed consent and privacy and maintain confidentiality. Our paper presents conceptual and practical ethical considerations taken into account across three telephone studies on the impact of COVID-19 conducted following India's nationwide lockdown imposed in March 2020. Two studies captured COVID-19 response impact on primary-level Reproductive Maternal Neonatal and Child Health (RMNCH) services and on provider wellness, respectively. The third study focused on how the gendered experience of COVID-19 and the state's response to control transmission impacted women's lives, focusing on health services, livelihood, entitlements and social change, by interviewing individual women. The ethical challenges as well as the advantages of digital data collection are presented with recommendations for low-resource settings. Ethical considerations included the above challenges as well as avoiding posing unreasonable time burden on the respondents, framing questions with a gendered lens, considering emotional states given contagion concerns and economic uncertainties, and redressing pandemic-induced distress. Using scripted Hindi was challenging in consent-taking, as was protecting household respondents' privacy and confidentiality during lockdown. Unanticipated positive ethical implications of using a telephone approach included providing respondents privacy and catharsis, respondents choosing convenient interview times and affording health providers more privacy than institutional inperson interviews. Internalising empathy, respect and appreciative enquiry are key to establishing rapport in the absence of prior relationships. Institutional Review Board (IRB) time limits on call duration need to be flexible to allow for 'active listening' and empathetic enquiry in surveys on the impact of COVID-19.
TL;DR: In this article, the overall effect of rapport practices and question type on children's disclosures during forensic interviews was examined to determine how large of an influence existing practices have on childrens tendency to disclose information, and how consistent the effect sizes of interviewing practices are across studies.
TL;DR: In this article, the authors explored the perspectives of applicants who have experienced an AI-based interview through this platform and examined the opinions of companies, a platform developer and academia using a phenomenological approach.
Abstract: In 2018, an artificial intelligence (AI) interview platform was introduced and adopted by companies in Korea. This study aims to explore the perspectives of applicants who have experienced an AI-based interview through this platform and examines the opinions of companies, a platform developer and academia.,This study uses a phenomenological approach. The participants, who had recent experience of AI video interviews, were recruited offline and online. Eighteen job applicants in their 20s, two companies that have adopted this interview platform, a software developer who created the platform and three professors participated in the study. To collect data, focus group interviews and in-depth interviews were conducted.,As a result, all of them believed that an AI-based interview was more efficient than a traditional one in terms of cost and time savings and is likely to be adopted by more companies in the future. They pointed to the possibility of data bias requiring an improvement in AI accountability. Applicants perceived an AI-based interview to be better than traditional evaluation procedures in procedural fairness, objectivity and consistency of algorithms. However, some applicants were dissatisfied about being assessed by AI. Digital divide and automated inequality were recurring themes in this study.,The study is important, as it addresses the real application of AI in detail, and a case study of smart hiring tools would be valuable in finding the practical and theoretical implications of such hiring in the fields of employment and AI.
TL;DR: This paper argued that fraudulent interviewers can, however, be identified through statistica... identifying illicit behavior in survey research is inherently problematic, since self-reports are untrustworthy, since they are unreliable.
Abstract: Identifying illicit behavior in survey research is inherently problematic, since self-reports are untrustworthy. We argue that fraudulent interviewers can, however, be identified through statistica...
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24 Nov 2021TL;DR: Autistic advocates and their supporters have long argued that conventional research practices provide too few opportunities for genuine engagement with autistic people, contributing to contributing to a "lack of genuine engagement" as discussed by the authors.
Abstract: Introduction: Autistic advocates and their supporters have long argued that conventional research practices provide too few opportunities for genuine engagement with autistic people, contributing t...
TL;DR: This literature review highlights techniques that can be used by cardiothoracic training programs to virtually showcase their attributes and strengths to give applicants as realistic of a view of the program as possible.
TL;DR: In this paper, the authors evaluated vocational interviewing and outcomes among 656 transition-age youth receiving special education pre-employment transition services from 47 schools and found that 20.8% of these youth were currently employed, and 88.8 % of these employed youth interviewed prior to obtaining their job, which is higher than anecdotal evidence suggests and speaks to the importance of job interview skills as an intervention target for special education Pre-Employment Transition Services.
Abstract: Vocational outcomes among transition-age youth receiving special education services are critically poor and have only incrementally improved since the implementation of the Workforce Innovation Opportunity Act. Few studies highlight whether interviewing may be critical to obtaining vocational outcomes such as competitive employment or internships. This study evaluated vocational interviewing and outcomes among 656 transition-age youth receiving special education pre-employment transition services from 47 schools. Results suggest 20.8% of these youth were currently employed, and 88.8% of these employed youth interviewed prior to obtaining their job, which is higher than anecdotal evidence suggests and speaks to the importance of job interview skills as an intervention target for special education pre-employment transition services. We discuss the implications and directions for further study.
21 Aug 2021
TL;DR: In this paper, an immersive and interactive child avatar that responds in a realistic way to help to support the training of police interviewers, but can also produce synthetic data of interview situations that can be used to solve different problems in the same domain.
Abstract: In this article, we present our ongoing work in the field of training police officers who conduct interviews with abused children. The objectives in this context are to protect vulnerable children from abuse, facilitate prosecution of offenders, and ensure that innocent adults are not accused of criminal acts. There is therefore a need for more data that can be used for improved interviewer training to equip police with the skills to conduct high-quality interviews. To support this important task, we propose to research a training program that utilizes different system components and multimodal data from the field of artificial intelligence such as chatbots, generation of visual content, text-to-speech, and speech-to-text. This program will be able to generate an almost unlimited amount of interview and also training data. The goal of combining all these different technologies and datatypes is to create an immersive and interactive child avatar that responds in a realistic way, to help to support the training of police interviewers, but can also produce synthetic data of interview situations that can be used to solve different problems in the same domain.
TL;DR: Receiving most interview offers on standardized interview offer dates resulted in less excessive interviewing despite controlling for number of programs applied to, applying as a couple, and United States Medical Licensing Exams Step 1 score.