BackgroundThe most commonly used means to assess pain is by patient self-reported questionnaires. These questionnaires have traditionally been completed using paper-and-pencil, telephone, or in-person methods, which may limit the validity of the collected data. Electronic data capture methods represent a potential way to validly, reliably, and feasibly collect pain-related data from patients in both clinical and research settings.ObjectiveThe aim of this study was to conduct a systematic review and meta-analysis to compare electronic and conventional pain-related data collection methods with respect to pain score equivalence, data completeness, ease of use, efficiency, and acceptability between methods.MethodsWe searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) from database inception until November 2019. We included all peer-reviewed studies that compared electronic (any modality) and conventional (paper-, telephone-, or in-person–based) data capture methods for patient-reported pain data on one of the following outcomes: pain score equivalence, data completeness, ease of use, efficiency, and acceptability. We used random effects models to combine score equivalence data across studies that reported correlations or measures of agreement between electronic and conventional pain assessment methods.ResultsA total of 53 unique studies were included in this systematic review, of which 21 were included in the meta-analysis. Overall, the pain scores reported electronically were congruent with those reported using conventional modalities, with the majority of studies (36/44, 82%) that reported on pain scores demonstrating this relationship. The weighted summary correlation coefficient of pain score equivalence from our meta-analysis was 0.92 (95% CI 0.88-0.95). Studies on data completeness, patient- or provider-reported ease of use, and efficiency generally indicated that electronic data capture methods were equivalent or superior to conventional methods. Most (19/23, 83%) studies that directly surveyed patients reported that the electronic format was the preferred data collection method.ConclusionsElectronic pain-related data capture methods are comparable with conventional methods in terms of score equivalence, data completeness, ease, efficiency, and acceptability and, if the appropriate psychometric evaluations are in place, are a feasible means to collect pain data in clinical and research settings.

Learning outcome, student achievement and academic achievement are some of the variables that get a lot of attention in educational research. Nevertheless, from several national studies collected there are inconsistencies in particular with regard to English terminology as well as inconsistencies in methods and instruments of data collection. Therefore, this study aims to explain the different methods of data collection research on learning outcome, achievement learning, and academic achievement. This study is a study desk study using literature review to explain the different methods of data collection on learning outcome, student achievement, and academic achievement. Based on the results of research can be concluded that the method of data collection of learning outcome, can be done through three ways, namely, perception survey, interview, and forum group discussion (FGD). While the instruments that can be used to collect data learning results are questionnaires, interview guides and minutes. Methods of collecting research data about student achievement, can be done through two ways namely, (1) test and (2) non test. Data collection methods of academic achievement can be done through documentation.

The article analyzes in detail methodological framework used for phraseological stock studies in the Mari language. It results in increasing level of validity and reliability of the research. The subject of the article is the methods and techniques of phraseological studies (general scientific, philosophical and specialized ones). The objective of this research is to reveal the methodological procedures used to study phraseological units of the Mari language. The article is based on monographs, articles, textbooks, theses on phraseology of the Mari language. When considering the methodological framework for phraseological studies in the Mari language, it employed general research methods such as analysis, synthesis, generalization and chronological classification combined with specialized linguistic techniques (e.g. data collection method) within diachronic and synchronic approaches. The first research into the field of Mari phraseology are characterized by the application of semantic and contextual analyses in order to systematize and classify phraseological units. The interpretation of empirical material is closely connected with the semantic description, valence and communicative-functional methods. Further development of the methodology is related to the application of culture and historical, anthropological and linguistic genetic approaches, as well as the elements of transformational analysis and syntactic modeling. Modern phraseological science takes into consideration interdisciplinary approach while exploring phraseological stock of the Mari language. In the initial state of the development of phraseology the most productive techniques in Mari linguistics were general research methods of description and analysis (semantic-syntactic, structural, componential and contextual ones). In 1980–1990 methodological framework was supplemented by specialized linguistic methods of comparative-historical, typological, comparative and communicative-functional studies. Nowadays interdisciplinary approach interpreted from psycholinguistic, linguoculturological and cognitivistic standpoints is widely applied to reveal the nationally significant concepts functioning in the described linguoculture.

BackgroundSchool-related gender-based violence (SRGBV) includes sexual, physical or psychological violence occurring in and around schools often perpetrated by teachers or peers. In this review, we focus on studies comparing how data collection methodologies affect children’s disclosures of SRGBV.MethodsWe conducted a systematic review, searching nine databases for studies from high, middle and low-income countries using search terms related to violence, disclosure and data collection methodology. Records were initially screened by abstract and then full-texts were retrieved and data from eligible reports extracted. In this paper, we draw on results from this larger systematic review highlighting studies conducted with children which either collected data in schools or asked about violence in schools. We also describe methods compared and results of studies that were not conducted in schools, but that included children and young people. Finally, we describe how multi-country nationally representative surveys conducted in at least one low and middle-income country measure children’s experiences of SRGBV.ResultsWe screened 28,780 records, of which fourteen are included in this article. Only four studies compared data collection methodologies in schools or about violence in schools. These showed a 0 to more than 500-percent variation in the prevalence of violence measured using different data collection methodologies. An additional ten studies which were not conducted in schools, examined disclosure of violence in children and young people that was not specifically school-related. We assessed five multi-country national surveys that measured SRGBV. This limited evidence suggests that methods allowing increased anonymity (e.g. audio computer assisted self-interview, online surveys) may result in higher disclosure of violence, including SRGBV, than face-to-face interviewing. No studies included reported on safety, experiences of young people, or the costs of different methods. Multi-country national surveys used self-completion methods if completed in schools or face-to-face interviewing if completed in households, to measure SRGBV.ConclusionEvidence on the impact of data collection method on SRGBV disclosure is limited, however current prevalence of SRGBV in international surveys used to monitor SDG progress may be underestimated due to data collection methods used. Further research on SRGBV should aim to test the effects of data collection methodology on the disclosure of violence. Efforts to improve the measurement of SRGBV is central to understanding the epidemiology, monitoring changes, and developing school and community-based programs as well as policies to prevent and respond to SRGBV.

Occupants' comfort perception about the indoor environment is closely linked to their health, wellbeing and productivity. Improvement of comfort level in office buildings has significant positive impacts on both employers and employees. Human comfort in indoor environment usually can be assessed in four aspects: thermal comfort, visual comfort, acoustic comfort and respiratory comfort. In this paper, we present a literature review on the previous research contributions towards studying various aspects of human comfort with a special focus on the respective assessment criteria, data collection methods and data analysis approaches employed by former studies. Previous review work has covered the fundamental concepts associated with human comfort. However, their studies mainly focus on thermal comfort and there is limited work that covers other aspects of comfort. Moreover, few of them discuss how the data is obtained, how to extract useful information from the data and how the data is analyzed. To fill up this gap, this paper conducts the survey from the data-driven point of view. Through the survey, we find that sensor technology has been widely used in the data collection for various types of comfort, while so far the machine learning approaches are mainly applied in the area of thermal comfort study. Finally, some potential future research areas are proposed based on the current status of the research work. The established knowledge in this paper would provide useful insights for engineers or researchers who embark on their research in this area.

Abstract Background The era of modern information technology enables multiple methods and modes of collecting self-reported oral health information. The scope of the use of these various modalities has not been well classified or summarized, therefore it is necessary to study the degree to which various technologies were used to collect oral health outcomes and related data. This paper reports on a scoping review of the range of data collection methods in quantitative research to measure self-reported oral health status. All methods of data collection were assessed; papers whose methodologies employed newer technologies were identified. Method The review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) with the search on four online bibliographic databases. We analyzed peer-reviewed articles and reviews published between 2011 and September 2021 to determine data collection methods. Eligible publications were required to use quantitative methods that have a principal objective of measuring self-assessed oral health status, and/or oral health-related quality of life. Result We examined the past decade-long trends and found that there has been an increased interest in assessing self-reported oral health and oral health related quality of life data, a dominance of impact measures used, and the application of technologies to the methods. We found that 50 percent of all papers focused mainly on an impact measure. Technologies used included: computer-generated sample populations through polling techniques and crowd-sourcing software; together with tablets and computers to assist in data collection. Conclusion The study provides an overview of methods and modes to collect self-reported oral health data, especially with emerging technologies. Contemporary web-based approaches offer enhanced opportunities for survey research to boost recruitment, participation of study subjects with wide and diverse backgrounds from almost unlimited geographic areas, and efforts to improve quality by assuring increased response rates and reducing bias, especially in longitudinal studies. Several studies with strong standard methods of conducting oral health studies that have been successfully collecting these data for years were often not likely to adopt newer technologies because computer access is not available to their populations.

BACKGROUND The most commonly used means to assess pain is by patient self-reported questionnaires. These questionnaires have traditionally been completed using paper-and-pencil, telephone, or in-person methods, which may limit the validity of the collected data. Electronic data capture methods represent a potential way to validly, reliably, and feasibly collect pain-related data from patients in both clinical and research settings. OBJECTIVE The aim of this study was to conduct a systematic review and meta-analysis to compare electronic and conventional pain-related data collection methods with respect to pain score equivalence, data completeness, ease of use, efficiency, and acceptability between methods. METHODS We searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) from database inception until November 2019. We included all peer-reviewed studies that compared electronic (any modality) and conventional (paper-, telephone-, or in-person–based) data capture methods for patient-reported pain data on one of the following outcomes: pain score equivalence, data completeness, ease of use, efficiency, and acceptability. We used random effects models to combine score equivalence data across studies that reported correlations or measures of agreement between electronic and conventional pain assessment methods. RESULTS A total of 53 unique studies were included in this systematic review, of which 21 were included in the meta-analysis. Overall, the pain scores reported electronically were congruent with those reported using conventional modalities, with the majority of studies (36/44, 82%) that reported on pain scores demonstrating this relationship. The weighted summary correlation coefficient of pain score equivalence from our meta-analysis was 0.92 (95% CI 0.88-0.95). Studies on data completeness, patient- or provider-reported ease of use, and efficiency generally indicated that electronic data capture methods were equivalent or superior to conventional methods. Most (19/23, 83%) studies that directly surveyed patients reported that the electronic format was the preferred data collection method. CONCLUSIONS Electronic pain-related data capture methods are comparable with conventional methods in terms of score equivalence, data completeness, ease, efficiency, and acceptability and, if the appropriate psychometric evaluations are in place, are a feasible means to collect pain data in clinical and research settings.

This study examines the tendencies in Turkey-based scientific articles related to distance education during the Covid-19 pandemic. In this qualitative study, content analysis and categorical analysis were used. The population of the study is comprised of Turkey-based academic studies on distance education while the sample consists of 125 scientific research articles published until April 2021 and included in the Google Scholar database. Tendencies in studies on distance education were examined in terms of article information, research methods, samples, data collection tools, data analysis methods, and subjects or topics. The "publication classification form" developed by the researcher was used for data collection. As a result of the study, it is seen that qualitative research methods and case studies are frequently used while sample groups consisting of undergraduate students and interview forms are mainly preferred. It was also determined that the studies focus on research subjects that examine the opinions on distance education according to various demographic variables. In consecutive studies on this subject, diversification has been recommended in terms of subjects and methods, designs, participants from whom data is collected, and data collection tools.

This article examines the research methods and techniques applied on academic papers related to terrorism. This is done through an extensive review and analysis of one thousand five hundred (1,500) papers that were published in twenty different journals such as American Economic Review, Journal of Policy Modeling, Economic Modeling, Journal of Economic Literature, Quality and Quantity, Journal of Global History, Journal of Social History, Quarterly Journal of Political Sciences, Journal of Politics, The Sociological Review, Critical Studies on Terrorism, Foreign Affairs, Global Crime, Intelligence and National Security, Politics, Religion & Ideology, Terrorism and Political Violence, Terrorism and Political Violence Security Studies, Journal of Military Ethics, Journal of Conflict Resolution within a 30-years period (1990–2020). It was observed that at different period in time, all these one thousand five hundred (1,500) academic papers always keep a constant transformation of its research methods and techniques that invoked the uses of different and new quantitative and qualitative frameworks of analysis to facilitate the explanation of the complex and dynamic behavior of terrorism. Finally, this research proposes a new research field entitled Terrorismology.

Novice and experienced researchers may encounter numerous methodological challenges when it comes to data collection. Data have to be collected from the right sources using appropriate data collection tools to make research studies impactful. There are numerous data collection methods that researchers may use but not all methods are appropriate for all research studies. Choosing inappropriate research methods may result in invalid research findings and lead to erroneous conclusions. This means researchers have to carefully choose data collection methods to make their studies achieve their respective goals. This study intended to identify factors that researchers have to consider in choosing data collection methods. A systematic literature review was used to analyze 28 journal articles published between 2018 and 2022. From the analysis the study identified ten (10) factors that researchers have to consider in choosing data collection methods. These factors are; the research goal, the scope of the study, sample size, type of data, time and user-friendliness to the subjects. Other factors are research approach, safety and security of a researcher, the need for triangulation and theoretical framework. Before choosing methods for data collection, it is important to put into consideration these factors to increase the chances of achieving research objectives and answering research questions of research projects.