scholarly journals DieTryin: An R package for data collection, automated data entry, and post-processing of network-structured economic games, social networks, and other roster-based dyadic data

Author(s):  
Cody T. Ross ◽  
Daniel Redhead

AbstractResearchers studying social networks and inter-personal sentiments in bounded or small-scale communities face a trade-off between the use of roster-based and free-recall/name-generator-based survey tools. Roster-based methods scale poorly with sample size, and can more easily lead to respondent fatigue; however, they generally yield higher quality data that are less susceptible to recall bias and that require less post-processing. Name-generator-based methods, in contrast, scale well with sample size and are less likely to lead to respondent fatigue. However, they may be more sensitive to recall bias, and they entail a large amount of highly error-prone post-processing after data collection in order to link elicited names to unique identifiers. Here, we introduce an R package, DieTryin, that allows for roster-based dyadic data to be collected and entered as rapidly as name-generator-based data; DieTryin can be used to run network-structured economic games, as well as collect and process standard social network data and round-robin Likert-scale peer ratings. DieTryin automates photograph standardization, survey tool compilation, and data entry. We present a complete methodological workflow using DieTryin to teach end-users its full functionality.

2018 ◽  
Vol 5 (2) ◽  
pp. 13-20
Author(s):  
Lia Kamila ◽  
Liawati . ◽  
Suci Lailani Alipah

ABSTRAK Indikator D/S di wilayah kerja Puskesmas Saguling Desa Cipangeran pada tahun 2016 menunjukkan masih rendahnya kunjungan balita dalam kegiatan posyandu dengan rata-rata hanya memcapai 41,5%, sedangkan target standar palayanan kota jumlah D/S yaitu 85%. Tujuan penelitian ini adalah untuk mengetahui keteraturan ibu dalam mengunjungi Posyandu dari faktor pengetahuan di Desa Cipangeran Kecamatan Saguling Kabupaten Bandung Barat tahun 2017. Metode penelitian ini menggunakan metode analitik dengan pendekatan cross sectional. Data yang digunakan adalah data primer. Populasi seluruh balita di wilayah kerja Puskesmas Saguling tahun 2016 sebanyak 424 ibu balita, besar sampel yang diambil 81 ibu balita, pengambilan sampel dengan menggunakan Sampel Random Sampling, pengumpulan data dengan hasil kuesioner berisi pertanyaan untuk mendapatkan data yang berkaitan dengan variabel yang diteliti. Hasil penelitian pengetahuan ibu balita didapatkan hampir setengah berada dikategori cukup yaitu 47 ibu balita (58%), namun masih ada ibu balita yang memiliki pengetahuan baik yaitu 18 ibu balita (22%), dan ibu balita yang memiliki pengetahuan kurang yaitu 16 ibu balita (20%). Kesimpulan dari penelitian didapatkan tingkat pengetahuan ibu balita yang tidak teratur dalam mengunjungi Posyandu di Desa Cipangeran Kecamatan Saguling Kabupaten Bandug Barat hampir setengah ibu balita berpengetahuan cukup. ABSTRACT The D / S indicator in the working area of ​​Saguling Public Health Center of Cipangeran Village in 2016 indicates that the low number of toddler visits in posyandu activities reaches an average of 41.5%, while the standard target for city / city is 85%. The purpose of this study is to determine the regularity of mothers in visiting Posyandu from knowledge factor in Cipangeran Village, Saguling District, West Bandung regency in 2017. This research method using analytical method with cross sectional approach. The data used is primary data.The population of all toddlers in the working area of Saguling Publich Health Center in 2016 were 424 mother, the sample size was 81 mother, using Random Sampling , data collection with questionnaires containing questions to obtain data related to the variables studied. The result of the research of the knowledge of the mother of the toddler is almost sufficient, namely 47 mothers (58%),but there are still mother who have good knowledge that is 18 mother of toddler (22%) and mother with less knowledge that is 16 mother of balita (20%). The conclusion of the research is the level of knowledge of irregular mother in visiting Posyandu in Cipangeran Village, Saguling, of West Bandung district, almost half of the toddler are knowledgeable enough.


2020 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Isaac Nyabisa Oteyo ◽  
Mary Esther Muyoka Toili

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Georgia Kourlaba ◽  
Eleni Kourkouni ◽  
Stefania Maistreli ◽  
Christina-Grammatiki Tsopela ◽  
Nafsika-Maria Molocha ◽  
...  

Abstract Background Epidemiological data indicate that a large part of population needs to be vaccinated to achieve herd immunity. Hence, it is of high importance for public health officials to know whether people are going to get vaccinated for COVID-19. The objective of the present study was to examine the willingness of adult residents in Greece to receive a COVID-19 vaccine. Methods A cross-sectional was survey conducted among the adult general population of Greece between April 28, 2020 to May 03, 2020 (last week of lockdown), using a mixed methodology for data collection: Computer Assisted Telephone Interviewing (CATI) and Computer Assisted web Interviewing (CAWI). Using a sample size calculator, the target sample size was found to be around 1000 respondents. To ensure a nationally representative sample of the urban/rural population according to the Greek census 2011, a proportionate stratified by region systematic sampling procedure was used to recruit particpants. Data collection was guided through a structured questionnaire. Regarding willingness to COVID-19 vaccination, participants were asked to answer the following question: “If there was a vaccine available for the novel coronavirus, would you do it?” Results Of 1004 respondents only 57.7% stated that they are going to get vaccinated for COVID-19. Respondents aged > 65 years old, those who either themselves or a member of their household belonged to a vulnerable group, those believing that the COVID-19 virus was not developed in laboratories by humans, those believing that coronavirus is far more contagious and lethal compared to the H1N1 virus, and those believing that next waves are coming were statistically significantly more likely to be willing to get a COVID-19 vaccine. Higher knowledge score regarding symptoms, transmission routes and prevention and control measures against COVID-19 was significantly associated with higher willingness of respondents to get vaccinated. Conclusion A significant proportion of individuals in the general population are unwilling to receive a COVID-19 vaccine, stressing the need for public health officials to take immediate awareness-raising measures.


2018 ◽  
Vol 14 (02) ◽  
pp. 165 ◽  
Author(s):  
Cidália Costa Fonte ◽  
Diogo Fontes ◽  
Alberto Cardoso

Whenever disaster situations occur the civil protection authorities need to have fast access to data that may help to plan emergency response. To contribute to the collection and integration of all available data a platform that aims to harvest Volunteered Geographical Information (VGI) from social networks and collaborative projects was created. This enables the integration of VGI with data coming from other sources, such as data collected by physical sensors in real time and made available through Applications Programming Interface (APIs), as well as, for example, official maps. The architecture of the created platform is described and its first prototype presented. Some example queries are performed and the results are analyzed.


2021 ◽  
Author(s):  
Florian Privé ◽  
Bjarni J. Vilhjálmsson ◽  
Timothy S. H. Mak

AbstractWe present lassosum2, a new version of the polygenic score method lassosum, which we re-implement in R package bigsnpr. This new version uses the exact same input data as LDpred2 and is also very fast, which means that it can be run with almost no extra coding nor computational time when already running LDpred2. It can also be more robust than LDpred2, e.g. in the case of a large GWAS sample size misspecification. Therefore, lassosum2 is complementary to LDpred2.


2016 ◽  
Vol 28 (4) ◽  
pp. 353-364 ◽  
Author(s):  
Peter Lipar ◽  
Irena Strnad ◽  
Martin Česnik ◽  
Tomaž Maher

This paper presents GIS-based methodology for urban area driving cycle construction. The approach reaches beyond the frames of usual driving cycle development methods and takes into account another perspective of data collection. Rather than planning data collection, the approach is based on available in-vehicle measurement data post processing using Geographic Information Systems to manipulate the excessive database and extract only the representative and geographically limited individual trip data. With such data post processing the data was carefully adjusted to include only the data that describe representative driving in Ljubljana urban area. The selected method for the driving cycle development is based on searching for the best microtrips combination while minimizing the difference between two vectors; one based on generated cycle and the other on the database. Accounting for a large random sample of actual trip data, our approach enables more representative area-specific driving cycle development than the previously used techniques.


2019 ◽  
Author(s):  
Benedikt Ley ◽  
Komal Raj Rijal ◽  
Jutta Marfurt ◽  
Nabaraj Adhikari ◽  
Megha Banjara ◽  
...  

Abstract Objective: Electronic data collection (EDC) has become a suitable alternative to paper based data collection (PBDC) in biomedical research even in resource poor settings. During a survey in Nepal, data were collected using both systems and data entry errors compared between both methods. Collected data were checked for completeness, values outside of realistic ranges, internal logic and date variables for reasonable time frames. Variables were grouped into 5 categories and the number of discordant entries were compared between both systems, overall and per variable category. Results: Data from 52 variables collected from 358 participants were available. Discrepancies between both data sets were found in 12.6% of all entries (2352/18,616). Differences between data points were identified in 18.0% (643/3,580) of continuous variables, 15.8% of time variables (113/716), 13.0% of date variables (140/1,074), 12.0% of text variables (86/716), and 10.9% of categorical variables (1,370/12,530). Overall 64% (1,499/2,352) of all discrepancies were due to data omissions, 76.6% (1,148/1,499) of missing entries were among categorical data. Omissions in PBDC (n=1002) were twice as frequent as in EDC (n=497, p<0.001). Data omissions, specifically among categorical variables were identified as the greatest source of error. If designed accordingly, EDC can address this short fall effectively.


Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.


2018 ◽  
Vol 25 (4) ◽  
pp. 185
Author(s):  
Mônica Wendhausen ◽  
Sônia Maria Martins de Melo ◽  
Rui Marques Vieira

A pesquisa fenomenológica numa investigação qualitativa é peculiar por trazer ao campo epistemológico a lógica da compreensão do fenômeno em si por meio de num exercício exaustivo de redução, na busca da essência do fenômeno no momento em que ele acontece. O desafio neste estudo ainda vai mais além: realizar as reduções por meio das primeiras recolhas e análises de dados de postagens realizadas em dois grupos criados no Facebook, de duas Turmas de escolares participantes de um Projeto Educativo intitulado Projeto Aprender a Conhecer: Pesquisar de Corpo Inteiro (PAC), que ocorre numa Escola Pública Brasileira, objeto desta investigação. Diante disso, este artigo apresenta um pequeno extrato de um doutoramento em curso. Os resultados apontaram que uma análise fenomenológica de documentos virtuais requer um olhar bastante criterioso, bem como a necessidade da utilização de um enxerto-hermenêutico, que no nosso ponto de vista, permitiu emergir as primeiras tendências da análise. Enfim, as asserções desvelaram a categoria participação como um dos elementos que poderá levar todos os envolvidos no projeto a aprender juntos, mas também, as contradições em relação ao entendimento e compreensão do tipo de participação dos estudantes no projeto, que ora parece tutelada/ restrita, ora parece plena/ativa. Tal tendência parece-nos essencial para a compreensão do PAC e sua influência na construção de num novo espaço/tempo de fazer escola.Palavras-chave: Pesquisa qualitativa. Método fenomenológico. Redes sociais. Projeto educativo. Recolha e análise de dados. DATA COLLECTION AND ANALYSIS IN A PHENOMENOLOGICAL PERSPECTIVE: registration of social networks as a documentary corpus in an investigation in educationAbstractA Phenomenological research in a qualitative investigation is peculiar to bring to the epistemological field the logic of the understanding of the phenomenon in itself through an exhaustive exercise of reduction, in search of the essence of the phenomenon at the moment in which it happens. The challenge in this study goes even further: to carry out the reductions through the first collection and analysis of data from postings made in two groups created on Facebook, from two classes of schoolchildren participating in the Educational Project “Learning to Know: research with Whole Body”, which occurs in a Brazilian Public School, object of this study. Therefore, this article presents a small extract of an ongoing PhD. The results point out that a phenomenological analysis of virtual documents requires a very critical observation as well as the need to use a hermeneutic-graft, which in our view allowed us to emerge the first trends of analysis. Finally, the assertions revealed the participation category as one of the elements that could lead all involved in the project to learn together, but also, the contradictions regarding the understanding and comprehension of the type of students' participation in the project, which sometimes seems to be supervised / restricted , sometimes seems full / active. Such a trend seems to us essential for the understanding of the PAC and its influence on the construction of a new space / time to do school.          Keywords: Qualitative Research. Phenomenological Method. Social Networks. Educational Project. Data Collection And Analysis. RECOGIDA Y ANÁLISIS DE DATOS DESDE UNA PERSPECTIVA FENOMENOLÓGICA: registros de las redes sociales como corpus documental en una investigación en educaciónResumenLa investigación fenomenológica en una investigación cualitativa es peculiar por traer al campo epistemológico la lógica de la comprensión del fenómeno en sí, por medio de un ejercicio exhaustivo de reducción, en la búsqueda de la esencia del fenómeno en el momento en que sucede. El desafío en este estudio va aún más allá: realizar las reducciones por medio de las primeras recogidas y análisis de datos de publicaciones realizadas en dos grupos creados en Facebook, de dos clases de escolares participantes en un proyecto educativo titulado: “Proyecto Aprender a Conocer: Investigar de Cuerpo Entero (PAC)”, que se desarrolla en una Escuela Pública Brasileña, objeto de esta investigación. Por lo que este artículo presenta un pequeño extracto de un doctorado en curso. Los resultados apuntan a que un análisis fenomenológico de documentos virtuales requiere una mirada bastante cuidadosa, así como, se refiere la necesidad de la utilización de un injerto-hermenéutico, que desde nuestro punto de vista, permitió emerger las primeras tendencias del análisis. Finalmente, los hallazgos revelaron la categoría participación como uno de los elementos que podría llevar a todos los involucrados en el proyecto, a aprender juntos, pero también, se desvelaron las contradicciones en relación al entendimiento y a la comprensión del tipo de participación de los estudiantes en el proyecto, que ahora parece estar supervisada / restringida, y completa / activa. Dicha tendencia nos parece esencial para la comprensión del PAC y su influencia en la construcción de un nuevo espacio / tiempo para hacer escuela.Palabras clave: Investigación cualitativa. Método fenomenológico. Redes sociales. Proyecto Educativo. Recogida y análisis de datos.


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