Online data collection methods are expanding the ease and access of developmental research for researchers and participants alike. While its popularity among developmental scientists has soared during the COVID-19 pandemic, its potential goes beyond just a means for safe, socially distanced data collection. In particular, advances in video conferencing software has enabled researchers to engage in face-to-face interactions with participants from nearly any location at any time. Due to the novelty of these methods, however, (...) many researchers still remain uncertain about the differences in available approaches as well as the validity of online methods more broadly. In this article, we aim to address both issues with a focus on moderated data collected using video-conferencing software. First, we review existing approaches for designing and executing moderated online studies with young children. We also present concrete examples of studies that implemented choice and verbal measures and looking time across both in-person and online moderated data collection methods. Direct comparison of the two methods within each study as well as a meta-analysis of all studies suggest that the results from the two methods are comparable, providing empirical support for the validity of moderated online data collection. Finally, we discuss current limitations of online data collection and possible solutions, as well as its potential to increase the accessibility, diversity, and replicability of developmental science. (shrink)

Research in psychopathology is booming in an unprecedented way, at least, in terms of increasing number of publications. Yet, a few questions arise: Does quantity also give us quality? Are the collected data generally of sound quality? How are data typically collected in psychopathology? Are the applied methods of data collection appropriate for this particular field of study? This article explores three different methods of data collection in psychopathology, namely self-rating scales, structured (...) interviews, and semi-structured, phenomenological interviews. To identify the most adequate methodological approach, we first establish the nature of the object of psychopathology and then we critically assess each method’s appropriateness to this field of study. We emphasize fundamental issues that make self-rating scales and structured interviews unfit for the task of adequately examining psychopathology. By contrast, we propose that a semi-structured, phenomenological interview presents a more appropriate method. Finally, we describe two types of semi-structured, phenomenological interviews that can be applied to assess and explore psychopathology, respectively. (shrink)

Research in psychopathology is booming in an unprecedented way, at least, in terms of increasing number of publications. Yet, a few questions arise: Does quantity also give us quality? Are the collected data generally of sound quality? How are data typically collected in psychopathology? Are the applied methods of data collection appropriate for this particular field of study? This article explores three different methods of data collection in psychopathology, namely self-rating scales, structured (...) interviews, and semi-structured, phenomenological interviews. To identify the most adequate methodological approach, we first establish the nature of the object of psychopathology and then we critically assess each method’s appropriateness to this field of study. We emphasize fundamental issues that make self-rating scales and structured interviews unfit for the task of adequately examining psychopathology. By contrast, we propose that a semi-structured, phenomenological interview presents a more appropriate method. Finally, we describe two types of semi-structured, phenomenological interviews that can be applied to assess and explore psychopathology, respectively. (shrink)

In the literature, the distinction between positivism and interpretivism based on ontological assumptions is somehow clear. Problems in dividing them based on epistemological assumptions continue to exist and appear in several works; for instance, Bhattacherjee’s book (2012) introduced the concept of research design and categorization of methods of data collection based on positivist and interpretivist epistemological assumptions. While acknowledging Bhattacherjee's contribution, nonetheless, the paper argues that since both the quantitative and qualitative research approaches share a few epistemological (...) assumptions, strictly categorizing them into positivism and interpretivism raises some confusion. Consequently, impacting communication among researchers and the implementation of the research projects. Therefore, the paper describes Bhattacherjee's contributions and limitations in understanding the dichotomy existing between positivist and interpretivist methods of data collection. The paper's suggestions aim to resolve such confusion and restore research approaches and their methods of data collection to their original philosophical positions. Thus minimizing the existing confusion on research methodology in the current literature. (shrink)

Investigating the influence of perception on the control of visually guided action typically involves controlled experimentation within the laboratory setting. When appropriate, however, behavioral research of this nature may benefit from the use of methods that allow for remote data collection outside of the lab. This study tested the feasibility of using remote data collection methods to explore the influence of perceived target size on visually guided cursor movements using the Ebbinghaus illusion. Participants completed (...) the experiment remotely, using the trackpad of their personal laptop computers. The task required participants to click on a single circular target presented at either the left or right side of their screen as quickly and accurately as possible, or to emphasize speed or accuracy. On each trial the target was either surrounded by small or large context circles, or no context circles. Participants’ judgments of the targets’ perceived size were influenced by the illusion, however, the illusion failed to produce differences in click-point accuracy or movement time. Interestingly, the illusion appeared to affect participants’ movement of the cursor toward the target; more directional changes were made when clicking the Perceived Large version of the illusion compared to the Perceived Small version. These results suggest the planning of the cursor movement may have been influenced by the illusion, while later stages of the movement were not, and cursor movements directed toward targets perceived as smaller required less correction compared to targets perceived as larger. (shrink)

Since its onset, scholars have characterized social media as a valuable source for data collection since it presents several benefits (e.g. exploring research questions with hard-to-reach populations). Nonetheless, methods of online data collection are riddled with ethical and methodological challenges that researchers must consider if they want to adopt good practices when collecting and analyzing online data. Drawing from our primary research project, where we collected passive online data on Reddit, we explore and (...) detail the steps that researchers must consider before collecting online data: (1) planning online data collection; (2) ethical considerations; and (3) data collection. We also discuss two atypical questions that researchers should also consider: (1) how to handle deleted user-generated content; and (2) how to quote user-generated content. Moving on from the dichotomous discussion between what is public and private data, we present recommendations for good practices when collecting and analyzing qualitative online data. (shrink)

In this article, interviewing from a descriptive, phenomenological, human scientific perspective is examined. Methodological issues are raised in relation to evaluative criteria as well as reflective matters that concern the phenomenological researcher. The data collection issues covered are 1) the selection of participants, 2) the number of participants in a study, 3) the interviewer and the questions, and 4) data collection procedures. Certain conclusions were drawn indicating that phenomenological research methods cannot be evaluated on the (...) basis of an empiricist theory of science, but must be critiqued from within a phenomenological theory of science. Some reflective matters, experienced by the phenomenological researcher, are also elaborated upon. (shrink)

In early 2020, in-person data collection dramatically slowed or was completely halted across the world as many labs were forced to close due to the COVID-19 pandemic. Developmental researchers who assess looking time were forced to re-think their methods of data collection. While a variety of remote or online platforms are available for gathering behavioral data outside of the typical lab setting, few are specifically designed for collecting and processing looking time data in (...) infants and young children. To address these challenges, our lab developed several novel approaches for continuing data collection and coding for a remotely administered audiovisual looking time protocol. First, we detail a comprehensive approach for successfully administering the Multisensory Attention Assessment Protocol, developed by our lab to assess multisensory attention skills. The MAAP is administered from a distance by using Zoom, Gorilla Experiment Builder, an internet connection, and a home computer. This new data collection approach has the advantage that participants can be tested in their homes. We discuss challenges and successes in implementing our approach for remote testing and data collection during an ongoing longitudinal project. Second, we detail an approach for estimating gaze direction and duration collected remotely from webcam recordings using a post processing toolkit and demonstrate its effectiveness and precision. However, because OpenFace derives gaze estimates without translating them to an external frame of reference, we developed a machine learning approach to overcome this limitation. Thus, third, we trained a ML algorithm [] to classify gaze estimates from OpenFace with respect to areas of interest on the participant's screen. We then demonstrate reliability between this approach and traditional coding approaches. The combination of OpenFace and ML will provide a method to automate the coding of looking time for data collected remotely. Finally, we outline a series of best practices for developmental researchers conducting remote data collection for looking time studies. (shrink)

Likert scales are useful for collecting data on attitudes and perceptions from large samples of people. In particular, they have become a well-established tool in soundscape studies for conducting in situ surveys to determine how people experience urban public spaces. However, it is still unclear whether the metrics of the scales are consistently interpreted during a typical assessment task. The current work aims at identifying some general trends in the interpretation of Likert scale metrics and introducing a procedure for (...) the derivation of metric corrections by analyzing a case study dataset of 984 soundscape assessments across 11 urban locations in London. According to ISO/TS 12913-2:2018, soundscapes can be assessed through the scaling of 8 dimensions: pleasant, annoying, vibrant, monotonous, eventful, uneventful, calm, and chaotic. The hypothesis underlying this study is that a link exists between correlations across the percentage of assessments falling in each Likert scale category and a dilation/compression factor affecting the interpretation of the scales metric. The outcome of this metric correction value derivation is introduced for soundscape, and a new projection of the London soundscapes according to the corrected circumplex space is compared with the initial ISO circumplex space. The overall results show a general non-equidistant interpretation of the scales, particularly on the vibrant-monotonous direction. The implications of this correction have been demonstrated through a Linear Ridge Classifier task for predicting the London soundscape responses using objective acoustic parameters, which shows significant improvement when applied to the corrected data. The results suggest that the corrected values account for the non-equidistant interpretation of the Likert metrics, thereby allowing mathematical operations to be viable when applied to the data. (shrink)

ArgumentData collections are a hallmark of nineteenth-century administrative knowledge making, and they were by no means confined to Europe. All colonial empires transferred and translated these techniques of serialised and quantified information gathering to their dominions overseas. The colonial situation affected the encounters underlying vital statistics, enquête methods and land surveying. In this paper, two of those data collections will be investigated—a survey on land and a survey on indigenous law, both conducted around 1910 on the Micronesian island (...) of Pohnpei, which had fallen under German colonial influence a decade earlier. Strikingly, there are no enumerators or envoys of the state visiting the doorsteps of Pohnpei. To facilitate the data collection on homesteads, the whole population of the island was called upon to measure their respective plots of land themselves, without resorting to certified land surveyors. The preserved cadastral lists and spreadsheets testify to a rather peculiar contact between the colonizing administration and the colonized peoples. I argue that the production of data made encounters necessary, which are best observed though a methodological focus on data practices. I argue, furthermore, that the Pohnpeians were prompted during the surveys to define their homestead in new terms. This did not only entail new two-dimensional plots but also a new regime of private property. The change in the legal concept can be seen as a continuation of colonial violence by other means, given that it happened in the aftermath of the defeated Pohnpei Rebellion. The argument of the paper is, therefore, that data collection can have formative effects on society, and that measurement and quantified information are often, as Witold Kula argued, a scene of conflict. At its core, the installation of these metric regimes signified a change in patterns of justification, resource management and the unwritten constitution of the Pacific island. (shrink)

Purpose This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites. Design/methodology/approach Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was made (...) up of 26.7% men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account. Findings The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting. Research limitations/implications This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances. Practical implications Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems. Originality/value The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review. (shrink)

In a congested large-scale subway network, the distribution of passenger flow in space-time dimension is very complex. Accurate estimation of passenger path choice is very important to understand the passenger flow distribution and even improve the operation service level. The availability of automated fare collection data, timetable, and network topology data opens up a new opportunity to study this topic based on multisource data. A probability model is proposed in this study to calculate the individual passenger’s (...) path choice with multisource data, in which the impact of the network time-varying state on passenger path choice is fully considered. First, according to the number and characteristics of OD candidate paths, the AFC data among special kinds of OD are selected to estimate the distribution of passengers’ walking time and waiting time of each platform. Then, based on the composition of path travel time, its real-time probability distribution is formulated with the distribution of walking time, waiting time, and in-vehicle time as parameters. Finally, a membership function is introduced to evaluate the dependence between passenger’s travel time and the real-time travel time distribution of each candidate path and take the path with the largest membership degree as passenger’s choice. Finally, a case study with Beijing Subway data is applied to verify the effectiveness of the model presented in this study. We have compared and analysed the path calculation results in which the time-varying characteristics of network state are considered or not. The results indicate that a passenger’s path choice behavior is affected by the network time-varying state, and our model can quantify the time-varying state and its impact on passenger path choice. (shrink)

The IVF ET method is a scientifically recognized infertility treat- ment method. The problem, however, is this method’s unsatisfactory efficiency. This calls for a more thorough analysis of the information available in the treat- ment process, in order to detect the factors that have an effect on the results, as well as to effectively predict result of treatment. Classical statistical methods have proven to be inadequate in this issue. Only the use of modern methods of data mining (...) gives hope for a more effective analysis of the collected data. This work provides an overview of the new methods used for the analysis of data on infertility treatment, and formulates a proposal for further directions for research into increasing the efficiency of the predicted result of the treatment process. (shrink)

All scientific activity involves some method of observation and some method of recording what is observed. These activities can be carried out in ways that involve little interaction between subject and object, as is the case when a telescope observes a far-away star. At the other end of the scale are experiments in modern high energy physics in which there is little distinction between the observer and the observed, and the process of observation materially affects the data that are (...) recorded. In this regard, research on human phenomena resembles modern physics more than it does classical astronomy.Research on human phenomena, however, differs from modern physics in the way in which it affects that which is observed. Both the procedures and the findings of research on human phenomena alter the modes of thinking and the self-awareness of the objects of study. (shrink)

Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass surveillance techniques that use bulk data collection and machine learning algorithms, we show why these methods are unlikely to pinpoint terrorists in order to prevent attacks. The diverse characteristics of terrorist attacks—especially (...) when considering lone-wolf terrorism—lead to irregular and isolated footprints. The irregularity of data affects the accuracy of machine learning algorithms and the mass surveillance that depends on them which can be explained by three kinds of known problems encountered in machine learning theory: class imbalance, the curse of dimensionality, and spurious correlations. Proponents of mass surveillance often invoke the distinction between collecting data and metadata, in which the latter is understood as a lesser breach of privacy. Their arguments commonly overlook the ambiguity in the definitions of data and metadata and ignore the ability of machine learning techniques to infer the former from the latter. Given the sparsity of datasets used for machine learning in counterterrorism and the privacy risks attendant with bulk data collection, policymakers and other relevant stakeholders should critically re-evaluate the likelihood of success of the algorithms and the collection of data on which they depend. (shrink)

Background: Health systems globally face ncreasing challenges from health crises and epidemic threats, necessitating the pivotal role of epidemiological teams in emergency response. This study investigates the significance of collective competence within these teams, focusing on their ability to collect, analyze, and manage laboratory data effectively. Methods: A cross-sectional descriptive study design was used to survey epidemiological teams in Saudi Arabia. A structured questionnaire was developed based on existing literature and distributed electronically to participants. Data analysis was (...) performed using the Statistical Package for the Social Sciences (SPSS), using descriptive and inferential statistics to summarize participant characteristics and explore associations between variables. Results: A total of 208 epidemiological teams member completed the questionnaire, yielding insights into their The Role of Collective Competence in Epidemiological Teams. The findings reveal high levels of agreement regarding the effectiveness of management approaches, knowledge sharing, and team collaboration, with the average score exceeding 4.0 on a 5-point scale. Notably, team efficacy was found to significantly enhance the efficiency of laboratory data collection and analysis, accounting for approximately 25.9% of the variance in efficacy. Discussion: These findings underscore the need to invest in developing team competencies within epidemiological teams to improve emergency response capabilities. The study provides practical insights into enhancing team collaboration and coordination, ultimately contributing to more effective public health interventions in future health crises. (shrink)

Research in an emergent field requires the researcher to consider appropriate methodologies. This paper describes research that attempts to discover how new technologies can influence local democratic engagement. It describes an interpretive research project informed by critical social theory that uses an explanatory mixed methods approach, combining two sequential data collection methods. The study incorporates a survey instrument and qualitative interviewing, analysed using Grounded Theory Methodology. The paper will describe the context for the research, the choice (...) of a mixed methods approach and relate this to an epistemology and ontology. The paper does not discuss the research findings but focuses on the research process and methodology and provides reflection on the outcomes and the challenges of the chosen approach. It demonstrates that mixed methods research is appropriate in a narrow and emergent field of study and that it offers methodological flexibility whilst promoting rigour and grounded results. (shrink)

BackgroundThe experience sampling method is an increasingly popular data collection method to assess interpersonal dynamics in everyday life and emotions contextualized in real-world settings. As primary advantages of ESM sampling strategies include minimization of memory biases, maximization of ecological validity, and hypothesis testing at the between- and within-person levels, ESM is suggested to be appropriate for studying the daily lives of educational actors. However, ESM appears to be underutilized in education research. We, thus, aimed to systematically evaluate the (...) methodological characteristics and quality of published ESM studies of social interactions among children and adolescents in school settings, as well as to explore how much variance in social interaction variables could be attributed to the within-person level.MethodUsing Academic Search Complete, APA PsycINFO, APA PsycArticles, ProQuest, Web of Science, Wiley Online Library, and SAGE Journals, and in accordance with PRISMA guidelines and pre-defined eligibility criteria, we conducted a systematic literature search of experience sampling studies up to November 2020. To assess methodological quality, we used a modified checklist for reporting of ESM studies.ResultsOf the originally 2 413 identified studies, a final 52 experience sampling studies were included in the present review. Findings on sample and study design characteristics generally revealed wide variability. Even if high-quality studies were associated with higher scores on the training of participants in using the ESM procedure, and use of incentives, these design strategies did not reveal a statistically significant impact on compliance. The intraclass correlation coefficient was reported in nine studies and on average 58% of the variance in social interaction variables could be attributed to within-person fluctuation between timepoints.ConclusionThe current study is the first to systematically review ESM-based studies on social interactions among children and adolescents in the school context. These observations suggest that ESM is a potentially favorable technique for extracting complex social phenomena in real-world settings. We hope that this review will contribute to improving the quality assessment of ESM studies as well as to inform and guide future experience sampling studies, particularly regarding social phenomena with children and adolescents in educational settings. (shrink)

Mass violence in the United States has been shown to cause trauma for survivors. These events may also create for survivors the experience of posttraumatic growth (PTG), the facets of which include personal strength, appreciation for life, new possibilities in life, spiritual change, and enhanced relationships with others. However, the role of collective efficacy and agency in the development of PTG following mass violence remains unknown. The purpose of this study is to assess the relationship between PTG and experiences of (...) collective efficacy and agency among survivors of the Isla Vista, California tragedy of 2014. The mixed methods objective was to explore the interpretive context within which the agency and collective efficacy experiences occurred. Quantitative data collected in a questionnaire (n = 166) were used to inform the collection of qualitative interview data (n = 12). Participating in therapy, organizing community events, and making the decision to either leave or stay in Isla Vista positively correlated with PTG based on hierarchical regression analysis. Themes of personal agency, the importance of role, and participating in collective action emerged from interviews. This study offers unique methodological approaches to using mixed methods data to understand the experiences which contributed to PTG among survivors of a mass shooting. (shrink)

Digital tools may help to study socioeconomic aspects of agricultural development that are difficult to measure such as the effects of new policies and technologies on the intra-household allocation of time. As farm technologies target different crops and tasks, they can affect the time-use of men, women, boys, and girls differently. Development strategies that overlook such effects can have negative consequences for vulnerable household members. In this paper, the time-use patterns associated with different levels of agricultural mechanization during land preparation (...) in smallholder farming households in Zambia were investigated. A novel data collection method was used: a pictorial smartphone application that allows real-time recording of time-use, which eliminates recall bias. Existing studies analyzing the intra-household allocation of resources often focus on adult males and females. This study paid particular attention to boys and girls as well as adults. The study addressed seasonal variations. Compositional data analysis was used to account for the co-dependence and sum constraint of time-use data. The study suggests a strong gender differentiation for land preparation activities among mechanized households; for households using manual labor, such differentiation was not found. There is some evidence that the surplus time associated with mechanization is used for off-farm and domestic work. The study cannot confirm concerns about negative second-round effects: mechanized land preparation is not associated with a higher workload for women and children during weeding and harvesting/processing. The study provides a proof-of-concept that smartphone applications can be used to collect socioeconomic data that are difficult to measure but of high relevance. (shrink)

While a growing number of researchers are embracing Internet-based data collection methods, the adoption of Internet-based recruitment methods has been relatively slow. This may be because little is known regarding the relative strengths and weaknesses of different methods of Internet-based participant recruitment, nor how these different recruitment strategies impact on the data collected. These issues are addressed in this article with reference to a study comparing the effectiveness of three Internet-based strategies in recruiting cannabis (...) users for an online study. Consideration of the recruitment data leads us to recommend that researchers use multipronged Internet-based recruitment campaigns with appropriately detailed recruitment messages tailored to the population of interest and located carefully to ensure they reach the intended audience. Further, we suggest that building rapport directly with potential participants, or utilising derived rapport and implicit endorsements, is an important aspect of successful Internet-based participant recruitment strategies. (shrink)

Student performance prediction aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the field of artificial intelligence and educational data mining. This paper provides a systematic review of the SPP study from the perspective of machine learning and data mining. This review partitions SPP into five stages, i.e., data collection, problem (...) formalization, model, prediction, and application. To have an intuition on these involved methods, we conducted experiments on a data set from our institute and a public data set. Our educational dataset composed of 1,325 students, and 832 courses was collected from the information system, which represents a typical higher education in China. With the experimental results, discussions on current shortcomings and interesting future works are finally summarized from data collections to practices. This work provides developments and challenges in the study task of SPP and facilitates the progress of personalized education. (shrink)

The article focuses on a method for collecting qualitative data. The method is the asynchronous email interview. The authors assess the advantages, challenges and best practices of the asynchronous email interview method. They base their assessment on the academic literature and their own experiences using this data collection method in qualitative research on women who had experienced perinatal loss. The asynchronous email interview will never fully replace traditional face-to-face interviews, but it could gain a solid position as (...) a qualitative research method thanks to its unique benefits. (shrink)

Musical performance is a multimodal experience, for performers and listeners alike. This paper reports on a pilot study which constitutes the first step toward a comprehensive approach to the experience of music as performed. We aim at bridging the gap between qualitative and quantitative approaches, by combining methods for data collection. The purpose is to build a data corpus containing multimodal measures linked to high-level subjective observations. This will allow for a systematic inclusion of the knowledge (...) of music professionals in an analytic framework, which synthesizes methods across established research disciplines. We outline the methods we are currently developing for the creation of a multimodal data corpus dedicated to the analysis and exploration of instrumental music performance from the perspective of embodied music cognition. This will enable the study of the multiple facets of instrumental music performance in great detail, as well as lead to the development of music creation techniques that take advantage of the cross-modal relationships and higher-level qualities emerging from the analysis of this multi-layered, multimodal corpus. The results of the pilot project suggest that qualitative analysis through stimulated recall is an efficient method for generating higher-level understandings of musical performance. Furthermore, the results indicate several directions for further development, regarding observational movement analysis, and computational analysis of coarticulation, chunking, and movement qualities in musical performance. We argue that the development of methods for combining qualitative and quantitative data are required to fully understand expressive musical performance, especially in a broader scenario in which arts, humanities, and science are increasingly entangled. The future work in the project will therefore entail an increasingly multimodal analysis, aiming to become as holistic as is music in performance. (shrink)

This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was (...) taught. We also reviewed 12 data ethics frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities. (shrink)

This study investigated how preservice teachers develop collective efficacy when preparing lesson plans for a science methods course, and how this collective efficacy changed over time. The data were collected from four preservice science teachers working in a group to fulfil the requirements of the course. Findings revealed that four factors, including collaborative work, sharing the same goal, attitudes towards group work and group cohesion, played an important role in the development of collective efficacy among preservice teachers. The (...) study also showed that collective efficacy improved continuously over the semester. (shrink)

This research was carried out within the framework of the question of the level of technical competencies of 4-6 age Quran course teachers and the factors that affect this competence positively or negatively. The main reason for creating such an issue as a problem and working is to draw attention to the importance of using technology in education and training processes that emerged with the pandemic process. In the study, an explanatory sequential design which is one of the mixed (...) class='Hi'>methods research models was adopted. The relational screening model, one of the quantitative research methods, was used as the primary data set of the study. In this context, the "Technological Pedagogical Content Knowledge (TPCK)" developed by Horzum et al. (2014) was used as a data collection tool and applied to 528 participants. The case study design, one of the qualitative research methods, was used as the secondary data set of the study. In this context, focus group interviews were held with a total of 20 participants in the form of two sessions and 10 participants in each session. The focus of the interviews was on the fact that the participants' general statements about their experiences with technology usage in 4-6 age group Quran course distance education process and their evaluations of the advantages and disadvantages of the process. In the light of the quantitative findings obtained in the study, it is noteworthy that the general average of the TPCK scale of the teachers is good. However, it is seen that the scores of the teachers from the sub-dimensions related to technology are below the general average. Within the framework of qualitative findings, it was determined that technology literacy awareness increased with the distance education process. Teachers state that they need in-service training seminars to maintain awareness of this technology that emerges in them. (shrink)

In this paper, we describe the challenges of collecting data in the Māori population for automatic detection of schizophrenia using natural language processing (NLP). Existing psychometric tools for detecting are wide ranging and do not meet the health needs of indigenous persons considered at risk of developing psychosis and/or schizophrenia. Automated methods using NLP have been developed to detect psychosis and schizophrenia but lack cultural nuance in their designs. Research incorporating the cultural aspects relevant to indigenous communities is (...) lacking in the design of existing automatic prediction tools and one of the main reasons is the scarcity of data from indigenous populations. This paper explores the current design of the New Zealand health care system and its potential impacts on access and inequities in the Māori population and details the methodology used to collect speech samples of Māori at risk of developing psychosis and schizophrenia. The paper also describes the major obstacles faced during speech data collection, key findings, and probable solutions. (shrink)

Longitudinal qualitative research in nursing is rare but becoming more common. Data collection and analysis over time provide some intriguing possibilities to better understand processes, development, and change in illness experience, healthcare organizations, and self‐management. This paper aims to present a process for analyzing qualitative longitudinal data material, namely the Pattern‐Oriented Longitudinal Analysis approach (POLA). We developed this approach after synthesizing experiences from two longitudinal qualitative projects and comparing our procedures and reflections with the relevant literature. Using (...) the POLA approach, researchers can describe complexity and variation in changes over time. During the analysis process, emphasis is put on visualizing and identifying change at both an individual and a group level. Ontological and epistemological assumptions for the approach are also described. The benefit of this approach is the possibility to describe complexity and diversity in processes over time, which is important for the development of nursing knowledge. The analysis approach can be further used and developed by researchers seeking to understand variance or contextual features in processes and changes over time. (shrink)

This forward-looking resource offers readers a modern contextual framework for conducting social science research with indigenous peoples. Foundational chapters summarize current UN-based standards for indigenous rights and autonomy, with their implications for research practice. Coverage goes on to detail minimally-invasive data-gathering methods, survey current training and competency issues, and consider the scientist’s role in research, particularly as a product of his/her own cultural background. From these guidelines and findings, students and professionals have a robust base for carrying out (...) indigenous research that is valid and reliable as well as respectful and ethical. Among the topics covered: -/- · Cultural theories and cultural dominance. -/- · The legal framework of research in indigenous contexts. -/- · The role of language within indigenous peoples’ cultural rights. -/- · Methodology: how to optimally collect data in the field. · Researchers’ influence and philosophy of science. -/- · Learning how to prepare research in indigenous contexts. -/- Research Methods in Indigenous Contexts is an important reference benefitting a wide audience, including students and researchers in the social sciences, humanities, and psychology; decision-makers of NGOs and GOs that act with regard to humanitarian aid, for tourism projects, or any other contingency with indigenous contexts; and policymakers interested in the aspects of human activity upon which indigenous cultural concerns are based. (shrink)

Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections. This 3-D information is invaluable in correlating structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is to be aware of potential sources of (...) bias and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative methods, such as those offered by stereology. Quantitative Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.Readership: Neuroscientists doing quantitative studies; Scientists involved in drug development; Pathologists. (shrink)

Structural priming is a powerful method to inform linguistic theories. We argue that this method extends nicely beyond syntax to theories of meaning. Priming, however, should still be seen as only one of the tools available for linguistic data collection. Specifically, because priming can occur at different, potentially conflicting levels, it cannot detect every aspect of linguistic representations.

The resurgence of interest in collective behavior is in large part due to tools recently made available for conducting laboratory experiments on groups, statistical methods for analyzing large data sets reflecting social interactions, the rapid growth of a diverse variety of online self‐organized collectives, and computational modeling methods for understanding both universal and scenario‐specific social patterns. We consider case studies of collective behavior along four attributes: the primary motivation of individuals within the group, kinds of interactions among (...) individuals, typical dynamics that result from these interactions, and characteristic outcomes at the group level. With this framework, we compare the collective patterns of noninteracting decision makers, bee swarms, groups forming paths in physical and abstract spaces, sports teams, cooperation and competition for resource usage, and the spread and extension of innovations in an online community. Some critical issues surrounding collective behavior are then reviewed, including the questions of “Does group behavior always reduce to individual behavior?”“Is ‘group cognition’ possible?” and “What is the value of formal modeling for understanding group behavior?”. (shrink)

The Montessori Method is accepted as an alternative education model today. Although it was spread out in USA at the beginning of the 20th century, it is currently used and accepted all over the world. Although its application in pre-education is common, it has also been adopted and applied at different levels. The Montessori method differs from traditional education not only in terms of approach to students, teachers, discipline, and school environment, but also in the way it uses certain materials (...) in its education. According to Maria Montessori, kids should be at the center of education, and the duty of teacher is to observe and guide children. The Montessori method, which is mostly applied in general education, is also used in the education of religion, values, and morals. In this study, besides Maria Montessori's thoughts on general education, her thoughts on religious education are also discussed. This research focuses on Montessori schools in Indiana, United States -. In this study, the qualitative research method and the phenomenological approach are adopted. Observation, interview, and document analysis are used as data collection tools. The subject of the study is the discussion of the Montessori method in terms of research results in religion, values and moral education and Montessori’s point of view on the subject. All participants, who work as instructors in Montessori schools, determined by maximum diversity and snowball sampling, Observation in Montessori schools and the program of one of them is used as an aid in the interpretation of the research findings. (shrink)

This book presents 18 essays by leading scholars covering mortuary analysis, the archaeology of foraging and agricultural societies, cultural evolution, and archaeological method and theory, which transcend the processual/postprocessual debate in archaeology and provide examples of how archaeologists think about, and go about, studying the past. As archaeology encounters the 21st century, debate over the nature of the discipline dominates professional discourse. Archaeologists are embattled over isms: processualism, postprocessualism, scientism, and humanism are ubiquitous buzzwords in the literature. Yet archaeology is (...) a craft practiced by individuals, learned from and influenced by other individuals. Sometimes a peson, through sheer force of intellectual spirit, rises above the debate to make a mark on the field in ways that cross out schools, paradigms, and factions. It is fitting to look back at the influence one such individual has had on archaeological methods, theory, data collection, and syntheses over the last half century. This volume draws on the experience of students and colleagues who worked with and were strongly influenced by James A. Brown's approach to the past. The volume is divided into five categories, each reflecting one distinctive facet of Brown's affect on archaeology: mortuary analysis, foraging and horticultural societies, complex agriculturalists, proto-historic and historic societies, and method and theory. These diverse categories, with articles by archaeologists of many backgrounds, are drawn together by the threads of Brown's intellectual legacy. Not all authors here are in agreement with Brown's views on their subjects, but all acknolwedge that his work in the area sets a standard that needs to be met if one is to succeed. (shrink)

Due to the complexity of research objects, theoretical concepts, and stimuli in media research, researchers in psychology and communications presumably need sophisticated measures beyond self-report scales to answer research questions on media use processes. The present study evaluates stimulus-dependent structure in spontaneous eye-blink behavior as an objective, corroborative measure for the media use phenomenon of spatial presence. To this end, a mixed methods approach is used in an experimental setting to collect, combine, analyze, and interpret data from standardized (...) participant self-report, observation of participant behavior, and content analysis of the media stimulus. T-pattern detection is used to analyze stimulus-dependent blinking behavior, and this structural data is then contrasted with self-report data. The combined results show that behavioral indicators yield the predicted results, while self-report data shows unpredicted results that are not predicted by the underlying theory. The use of a mixed methods approach offered insights that support further theory development and theory testing beyond a traditional, mono-method experimental approach. (shrink)

This paper explores the “triangulation approach” in social science research methods. Triangulation is an emerging method specifically in qualitative and multi-method studies. Researchers in the social sciences have increased their use of the triangulation approach recently due to the merits of this approach, especially to conduct in-depth studies through multiple inquiries. Simultaneously, this method has criticism and misconceptions among social researchers in terms of what it is, how it can be used, and the credibility of the findings when used. (...) Therefore, this paper analyses in depth what triangulation is, the types of triangulations and how they can be applied in the social sciences. The study basically adopted systematic literature review and used 30 articles published in scientific journals. The paper critically reviewed journal articles related to triangulation, revealed how different types of triangulation methods have been applied in the social sciences and highlighted the merits and cautions of applying this method. The paper theoretically contributes to understanding the phenomenon of the triangulation approach and how it connects with qualitative and multi-method studies. In addition, it revealed that the following data collection techniques from multiple sources can be exploited: in-depth interviews, focus group discussions, literature, documents, and surveys on the triangulation method to improve the credibility and reliability of the research. Furthermore, the study empirically contributes to social science researchers applying this approach with proper understanding. (shrink)

It is thought that determining which methods and techniques are used by teachers to teach concepts, which is one of the important dimensions of religious teaching, will contribute to the science of religious education and practice of religious teaching. In this context, the problematic of the study is based on the question of the methods preferred by the Religious Culture and Moral Knowledge teachers in their concept teaching activities. Therefore, the aim of the study is to try to (...) reveal the qualities of the methods preferred by the Religious Culture and Moral Knowledge teachers in the concept teaching process with a descriptive perspective. To serve this purpose, a case study was preferred as one of the qualitative research methods in the methodology of the study, and 20 Religious Culture and Moral Knowledge teachers were selected in the study group with maximum variation sampling, which is one of the purposeful sampling methods. Since the study focused on teachers' opinions, a semi-structured interview technique is used as a data collection tool, and descriptive analysis method, envisaging coding of the data according to the pre-determined themes and titles in the context of the problematic of the study, has been preferred. As a result of the study, it has been observed that teachers preferred that supporting teaching methods such as story and game, induction in line with the approach of reaching definition with students, deducting from the definition. In addition, despite the teachers' attempts to enrich the concept teaching process and increase the quality of the process, it has been found that their knowledge and skills regarding concept teaching methods and techniques were not sufficient. (shrink)

Publication date: 30 August 2017 Source: Author: Ghulam Abid, Tahira Hassan Butt Employees are the building blocks and valuable assets in an organization. Organizational researchers and practitioners have shown a burgeoning attention to satisfy and retain key performer as the cost of leaving a job is very high for the employing organizations. Discovering turnover intention in its formation stages is very crucial, not only to resist its’ piled up effect but also to control the actual turnover in the future. Most (...) of the times, management is not aware of the employee’s quit intention because employees don’t show their intention explicitly until they actually leave the organization. However, majority of the times employees share their feeling with their colleagues or other close work mates. Based on positive relationship at work, we argued that the individuals who work together normally share their feelings with their close colleagues regarding their decision of leaving or staying with the current employer. Therefore, the objective of the current study is to investigate the relationship between turnover intention and expressed turnover intention. Furthermore, we offer a new perspective to data collection from other sources, which will assist us in shortening the questionnaire, also minimizing the common method bias and knowing the quit intention from other source. Finally, theoretical and practical implications along with direction for future studies are also discussed. (shrink)

Indirect observation is a recent concept in systematic observation. It largely involves analyzing textual material generated either indirectly from transcriptions of audio recordings of verbal behavior in natural settings (e.g., conversation, group discussions) or directly from narratives (e.g., letters of complaint, tweets, forum posts). It may also feature seemingly unobtrusive objects that can provide relevant insights into daily routines. All these materials constitute an extremely rich source of information for studying everyday life, and they are continuously growing with the burgeoning (...) of new technologies for data recording, dissemination, and storage. Narratives are an excellent vehicle for studying everyday life, and quantitization is proposed as a means of integrating qualitative and quantitative elements. However, this analysis requires a structured system that enables researchers to analyze varying forms and sources of information objectively. In this paper, we present a methodological framework detailing the steps and decisions required to quantitatively analyze a set of data that was originally qualitative. We provide guidelines on study dimensions, text segmentation criteria, ad hoc observation instruments, data quality controls, and coding and preparation of text for quantitative analysis. The quality control stage is essential to ensure that the code matrices generated from the qualitative data are reliable. We provide examples of how an indirect observation study can produce data for quantitative analysis and also describe the different software tools available for the various stages of the process. The proposed method is framed within a specific mixed methods approach that involves collecting qualitative data and subsequently transforming these into matrices of codes (not frequencies) for quantitative analysis to detect underlying structures and behavioral patterns. The data collection and quality control procedures fully meet the requirement of flexibility and provide new perspectives on data integration in the study of biopsychosocial aspects in everyday contexts. (shrink)

Background Over the last decades, the neurosciences, behavioral sciences, and the social sciences have all seen a rapid development of innovative research methods. The field of bioethics, however, has trailed behind in methodological innovation. Despite the so-called “empirical turn” in bioethics, research methodology for project development, data collection and analysis, and dissemination has remained largely restricted to surveys, interviews, and research papers. We have previously argued for a “Design Bioethics” approach to empirical bioethics methodology, which develops purpose-built (...) methods for investigation of bioethical concerns. In this paper we compare a research tool created using a design bioethics approach to a “methods-as-usual” approach in empirical bioethics. Methods Our study compared dimensions of engagement with a digital game we created, called “Tracing Tomorrow,” to a standard vignette survey. The two tools investigated the same subject matter, digital phenotyping for mental health, in a sample of 301 UK adolescents. Results Participants who played the game reported a greater sense of presence, emotional engagement, cognitive absorption, and mental health ethics insight, compared to participants who completed the vignette survey. Perceived authenticity and curiosity/motivation to learn more was equivalent for both methods. Conclusion The results of this study highlights the importance of purpose-built methodology for empirical bioethics research. (shrink)

Phenomenology has been adapted for use in qualitative health research, where it’s often used as a method for conducting interviews and analyzing interview data. But how can phenomenologists study subjects who cannot accurately reflect upon or report their own experiences, for instance, because of a psychiatric or neurological disorder? For conditions like these, qualitative researchers may gain more insight by conducting observational studies in lieu of, or in conjunction with, interviews. In this article, we introduce a phenomenological approach to (...) conducting this kind of observational research. The approach relies on conceptual grounding to focus a study on specific aspects of the participants’ experiences. Moreover, the approach maintains the openness to novel discoveries that qualitative research requires while also providing a structured framework for data collection and analysis. To illustrate its practical application, we use examples of hemispatial neglect—a neurologic disorder in which patients characteristically lack awareness of their own illness and bodily capacities. However, the approach that we describe can be applied more broadly to the study of complex illness experiences and other experiential alterations. (shrink)

We owe most scientific knowledge to methods of inquiry that are never formally analyzed. The analysis of behavior does not call for hypothetico-deductive methods. Statistics, taught in lieu of scientific method, is incompatible with major features of much laboratory research. Squeezing significance out of ambiguous data discourages the more promising step of scrapping the experiment and starting again. As a consequence, psychologists have taken flight from the laboratory. They have fled to Real People and the human interest (...) of “real life,” to Mathematical Models and the elegance of symbolic treatments, to the Inner Man and the explanatory preoccupation with inferred internal mechanisms, and to Laymanship and its appeal to “common sense.” An experimental analysis provides an alternative to these divertissements.The “theories” to which objection is raised here are not the basic assumptions essential to any scientific activity or statements that are not yet facts, but rather explanations which appeal to events taking place somewhere else, at some other level of observation, described in different terms, and measured, if at all, in different dimensions. Three types of learning theories satisfy this definition: physiological theories attempting to reduce behavior to events in the nervous system; mentalistic theories appealing to inferred inner events; and theories of the Conceptual Nervous System offered as explanatory models of behavior. It would be foolhardy to deny the achievements of such theories in the history of science. The question of whether they are necessary, however, has other implications.Experimental material in three areas illustrates the function of theory more concretely. Alternatives to behavior ratios, excitatory potentials, and so on demonstrate the utility of rate or probability of response as the basic datum in learning. Functional relations between behavior and environmental variables provide an account of why learning occurs. Activities such as preferring, choosing, discriminating, and matching can be dealt with solely in terms of behavior, without referring to processes in another dimensional system. The experiments are not offered as demonstrating that theories are not necessary but to suggest an alternative. Theory is possible in another sense. Beyond the collection of uniform relationships lies the need for a formal representation of the data reduced to a minimal number of terms. A theoretical construction may yield greater generality than any assemblage of facts; such a construction will not refer to another dimensional system. (shrink)

Collections are the primary sources of classical Turkish literature research. A significant part of the transfer of knowledge of classical Turkish literature, which spans 600 years, has been thanks to collections. Poetry and lyric collections, whose manuscript collections are discussed, also constitute one of the working areas of literary researchers. Reading this book with academic interest and transferring it to today's alphabet sheds light not only on the field of literature, but also on many areas such as the language characteristics, (...) social life, maqam, rhythm and lyric preferences of the period in which the collection was written. With this feature, collections have an important place in the history of Classical Turkish Poetry and Turkish music. At the same time, the literary and musical tastes of the period, which are dominant in the collections, sometimes enter the space. The Systematic Classification of Collections Project undertakes an important task in reintroducing the collections that contain this versatile knowledge into both the academic database and the present day after they are read. Lyrics collection registered in the National Library number A4724, protected within the scope of this project. Periodic language features were not followed in the transcription method. Where there are letters with vowels and spellings different from the main source of the work, they are converted into main sources in footnotes. The data obtained as a result of examining the lyrics collection, which is the subject of the study, is presented and the collection is introduced. Data such as the maqams specified in the lyrics, the names of the lyrics, the meter of the lyrics, the details recorded in the updated lyrics are statistically presented in tabular form. The lyrics of 50 composers who can be identified in the collection consisting of 105 pages are arranged according to the MESTAP table. (shrink)

Healthcare provision, like many other sectors of society, is undergoing major changes due to the increased use of data-driven methods and technologies. This increased reliance on big data in medicine can lead to shifts in the norms that guide healthcare providers and patients. Continuous critical normative reflection is called for to track such potential changes. This article presents the results of an interview-based study with 20 German and Swiss experts from the fields of medicine, life science research, (...) informatics and humanities of digitalisation. The aim of the study was to explore expert opinions regarding current challenges and opportunities related to data-driven medicine and medical research and to provide a methodological framework for empirically grounded, continuous normative reflection. To this end, we developed a heuristic tool to map and structure empirical findings for normative analysis. Using this tool, our interview material points to a polarisation between individualistic and collectivistic orientated argumentations among experts. The study shows that a multilevel analysis is required to deal with complex normative implications of data-driven approaches in medical research and healthcare. (shrink)

At the intersections of social anthropology, philosophy, and Asian studies, my paper explores the body ecologic through a phenomenological frame in the context of Chinese culture engaging both theory and method. How can qì cultivation experiences transporting bodies and persons in movement, within the world and their “life‐world,” be interpreted through a phenomenology of perception? Based on ethnographic study data collected mainly in South China (Guangzhou) and in Taiwan (1990s–2000s), this exploration is situated within qìgōng experiences (training, cultivating and (...) mastering the qì). Anchored in martial, religious, and healing arts and their meanings, qìgōng’s myriad of forms and infinite variations invite journeys into religious Daoist and Buddhist practice, Chinese thought, and politico‐religious issues of past and present Chinese society. The qìgōng world, paths of knowledge transmission, healing horizons, claimed affiliations, and views of practitioners unveil an ontology and a cosmology grounded in religious (Daoist and Buddhist) lore. (shrink)