Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys

2021 ◽  
pp. 1-20
Author(s):  
Blair Read ◽  
Lukas Wolters ◽  
Adam J. Berinsky
Keyword(s):  
Public Opinion ◽  
Data Collection ◽  
Response Time ◽  
Data Quality ◽  
Dimension Reduction ◽  
Clustering Algorithm ◽  
Unsupervised Clustering ◽  
Ex Post ◽  
Dichotomous Classification

Abstract Internet-based surveys have expanded public opinion data collection at the expense of monitoring respondent attentiveness, potentially compromising data quality. Researchers now have to evaluate attentiveness ex-post. We propose a new proxy for attentiveness—response-time attentiveness clustering (RTAC)—that uses dimension reduction and an unsupervised clustering algorithm to leverage variation in response time between respondents and across questions. We advance the literature theoretically arguing that the existing dichotomous classification of respondents as fast or attentive is insufficient and neglects slow and inattentive respondents. We validate our theoretical classification and empirical strategy against commonly used proxies for survey attentiveness. In contrast to other methods for capturing attentiveness, RTAC allows researchers to collect attentiveness data unobtrusively without sacrificing space on the survey instrument.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

DATA COLLECTION AND CONSTRUCTIVE CLASSIFICATION OF SUPERADOBE BUILDINGS

2016 ◽  
Vol 2 (2) ◽  
pp. 208 ◽  
Author(s):  
Deborah Macêdo Santos ◽  
José Nuno Dinis Cabral Beirão
Keyword(s):  
Data Collection

<p>As construções em terra são soluções reconhecidas de baixo impacto ambiental. São construções duráveis, fortes, climaticamente eficientes, formalmente flexíveis e são compostas por recursos renováveis e reaproveitáveis favorecendo o desenvolvimento sustentável. Este artigo classifica as variações construtivas de aplicação da técnica de construção em terra superadobe. Também conhecido como “adobe ensacado”, “saco contínuo de terra estabilizada”, “<em>earthbag building</em>” ou “<em>Earth-filled bags</em>”, o superadobe consiste na técnica construtiva onde as paredes são construídas basicamente por sacos preenchidos com terra e areia empilhados, com arame farpado entre eles. A técnica foi desenvolvida como possível solução de construção na lua, depois foi aplicada pare resolver a problemática de habitação popular, atualmente é possível encontrar construções em superadobe robustas, com diferentes usos e com associações de outras técnicas construtivas. Este artigo tem por objetivo tabular as variações construtivas de aplicação da técnica de construção em terra superadobe já executadas, a fim de auxiliar pesquisas futuras no reconhecimento e superação dos limites e variações da técnica construtiva. O método é descritivo qualitativo, com investigação de cunho exploratório interdisciplinar, por meio de levantamento técnico em revistas especializadas em arquitetura, engenharia e sustentabilidade.</p><p><strong>Palavras-Chave:</strong> Superadobe, sustentabilidade, arquitetura, construção em terra.</p>

Program Fajar Indah Sebagai Media Dakwah dalam Meningkatkan Pemahaman Keagamaan Masyarakat

2020 ◽  
Vol 5 (1) ◽  
pp. 21-38
Author(s):  
FAISAL AKBAR ◽  
Syamsuddin RS ◽  
Dadan Anugrah
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Islamic Law ◽  
Public Trust ◽  
Broadcast Communication ◽  
Lecture Method ◽  
Radio Broadcast ◽  
Religious Understanding

Penelitian ini bertujuan untuk mengetahui metode Program Fajar Indah yang ada di Radio Citra Progo dalam meningkatkan pemahaman keagamaan masyarakat, mengetahui klasifikasi da’i pengisi program Fajar Indah, serta pesan dakwah dari program Fajar Indah. Penelitian ini menggunakan penelitian kualitatif dengan metode deskriptif. Pengumpulan data dalam penelitian ini menggunakan teknik observasi, wawancara dan dokumentasi. Analisis data digunakan penafsiran logika yang dihubungkan dengan konteks Komunikasi Penyiaran Islam. Hasil penelitian menunjukan bahwa Radio Citra Progo dalam program Fajar Indah menggunakan metode ceramah dengan pembawaan da’i yang santai ketika siaran. Adapun klasifikasi da’i dalam siaran dakwah ini, dapat dilihat dari wawasan keilmuan penyiar dalam menguasai Al Quran dan Hadist sebagai sumber hukum Islam dan kedisiplinan untuk menjalankan tugas sebagai da’i penyiar radio. Dalam siaran Program Fajar Indah terdapat pesan dakwah berupa materi Aqidah untuk meningkatkan kepercayaan masyarakat kepada Allah, mengimani rukun Iman dan rukun Islam, serta materi Akhlak yang diperintahkan oleh Allah dan dicontohkan oleh Nabi Muhammad SAW, materi Ibadah yang menyampaikan tatacara beribadah kepada Allah meliputi hukum pernikahan, hukum bertetangga, shodaqoh, sholat, puasa dan menyampaikan materi tentang hari-hari besar umat Islam. This study aims to determine the methods of the Beautiful Fajar Program on Radio Citra Progo in improving people's religious understanding, knowing the classification of preachers for the Fajar Indah program, and preaching messages from the Fajar Indah program. This study uses qualitative research with descriptive methods. Data collection in this study uses observation, interview and documentation techniques. Data analysis used the interpretation of logic connected with the context of Islamic Broadcast Communication. The results showed that Citra Progo Radio in the Fajar Indah program used a lecture method with a relaxed nature when broadcasting. The da'i classification in this da'wah broadcast, can be seen from the broadcaster's scientific insights in mastering the Qur'an and Hadith as a source of Islamic law and discipline to carry out their duties as radio broadcast preachers. In the broadcast of the Fajar Indah Program there is a da'wah message in the form of Aqeedah material to increase public trust in God, faith in the pillars of faith and pillars of Islam, as well as moral material ordered by God and exemplified by the Prophet Muhammad, the material of worship which conveys the procedure of worship to God including marriage law , neighborly law, shodaqoh, prayer, fasting and delivering material about the Muslim holidays.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

scholarly journals Utilizing asynchronous email interviews for health research: overview of benefits and drawbacks

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Michelle Amri ◽  
Christina Angelakis ◽  
Dilani Logan
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Data Quality ◽  
Health Research ◽  
Geographic Location ◽  
Public Health Research ◽  
Data Accuracy ◽  
Global Public Health ◽  
Snowball Sampling ◽  
Face To Face

Abstract Objective Through collating observations from various studies and complementing these findings with one author’s study, a detailed overview of the benefits and drawbacks of asynchronous email interviewing is provided. Through this overview, it is evident there is great potential for asynchronous email interviews in the broad field of health, particularly for studies drawing on expertise from participants in academia or professional settings, those across varied geographical settings (i.e. potential for global public health research), and/or in circumstances when face-to-face interactions are not possible (e.g. COVID-19). Results Benefits of asynchronous email interviewing and additional considerations for researchers are discussed around: (i) access transcending geographic location and during restricted face-to-face communications; (ii) feasibility and cost; (iii) sampling and inclusion of diverse participants; (iv) facilitating snowball sampling and increased transparency; (v) data collection with working professionals; (vi) anonymity; (vii) verification of participants; (viii) data quality and enhanced data accuracy; and (ix) overcoming language barriers. Similarly, potential drawbacks of asynchronous email interviews are also discussed with suggested remedies, which centre around: (i) time; (ii) participant verification and confidentiality; (iii) technology and sampling concerns; (iv) data quality and availability; and (v) need for enhanced clarity and precision.

scholarly journals Conducting Population Health Research during the COVID-19 Pandemic: Impacts and Recommendations

2021 ◽  
Vol 13 (6) ◽  
pp. 3320
Author(s):  
Amy R. Villarosa ◽  
Lucie M. Ramjan ◽  
Della Maneze ◽  
Ajesh George
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Data Quality ◽  
Population Health ◽  
Health Research ◽  
Alternative Methods ◽  
Residential Aged Care ◽  
Recruitment Methods ◽  
Face To Face ◽  
The Impact

The COVID-19 pandemic has resulted in many changes, including restrictions on indoor gatherings and visitation to residential aged care facilities, hospitals and certain communities. Coupled with potential restrictions imposed by health services and academic institutions, these changes may significantly impact the conduct of population health research. However, the continuance of population health research is beneficial for the provision of health services and sometimes imperative. This paper discusses the impact of COVID-19 restrictions on the conduct of population health research. This discussion unveils important ethical considerations, as well as potential impacts on recruitment methods, face-to-face data collection, data quality and validity. In addition, this paper explores potential recruitment and data collection methods that could replace face-to-face methods. The discussion is accompanied by reflections on the challenges experienced by the authors in their own research at an oral health service during the COVID-19 pandemic and alternative methods that were utilised in place of face-to-face methods. This paper concludes that, although COVID-19 presents challenges to the conduct of population health research, there is a range of alternative methods to face-to-face recruitment and data collection. These alternative methods should be considered in light of project aims to ensure data quality is not compromised.

scholarly journals MultiKOC: Multi-One-Class Classifier Based K-Means Clustering

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 134
Author(s):  
Loai Abdallah ◽  
Murad Badarna ◽  
Waleed Khalifa ◽  
Malik Yousef
Keyword(s):  
Clustering Algorithm ◽  
Main Idea ◽  
Molecular Classification ◽  
Positive Sample ◽  
Classification Problems ◽  
Multiple Cancer ◽  
Multiple Tumor ◽  
One Class Classifier ◽  
The Given

In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification of multiple cancer types. In all of these cases the real world appropriately characterized negative cases or outliers are impractical to achieve and the positive cases might consist of different clusters, which in turn might lead to accuracy degradation. In this paper we present a novel algorithm named MultiKOC multi-one-class classifiers based K-means to deal with this problem. The main idea is to execute a clustering algorithm over the positive samples to capture the hidden subdata of the given positive data, and then building up a one-class classifier for every cluster member’s examples separately: in other word, train the OC classifier on each piece of subdata. For a given new sample, the generated classifiers are applied. If it is rejected by all of those classifiers, the given sample is considered as a negative sample, otherwise it is a positive sample. The results of MultiKOC are compared with the traditional one-class, multi-one-class, ensemble one-classes and two-class methods, yielding a significant improvement over the one-class and like the two-class performance.

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