The Constant Comparative Method of Qualitative Analysis by Barney G. Glaser

“…This method of comparative analysis is to be used jointly with theoretical sampling, whether for collective new data or on previously collected or compiled qualitative data. …”
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Human Contributions to Safety Data Testbed Flight Simulation Study: Data Methods, Processing, and Quality by Tyler Fettrow, Chad Stephens, Lance Prinzel, Jon Holbrook, Kathryn Ballard, Sepehr Bastami, Michael Stewart, Daniel Kiggins

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Concept development assessment game – suitable collecting framework in scientific military research by George-Ion TOROI

“…The game serves as a qualitative tool used for testing and refining concepts at an early stage of development, providing a controlled and flexible environment for collecting necessary data. Moreover, it ensures a mechanism for employing a wide range of data collection methods, such as observation, focus groups, or questionnaires, thereby enabling the triangulation of collected data and, consequently, the foundation for valuable outcomes in the effort to transform military structures. …”
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Guidance for research on the COVID-19 disease in times of pandemic by Oya KALAYCIOGLU

Subjects: “…covid-19 research; data collection; research methodology; survey methods; survey sampling…”
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DESIGN GAME PUZZLE UNTUK TINGKAT SEKOLAH DASAR MENGGUNAKAN ADOBE CC ANIMATE 2018 by John Thang, Ria Eka Sari

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Manufacturing Process Optimization Using Open Data and Different Analysis Methods by Md Tahiduzzaman, Angkush Kumar Ghosh, Sharifu Ura

“…Traditionally, this optimization has been contingent upon datasets collected from a singular, reliable source. However, in the paradigm of smart manufacturing, this data dependency is transitioning from a single source to a confluence of heterogeneous, open sources. …”
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Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

“…In order to analyze the collected data, Data Mining methods are used, in particular, the Kohonen self-organizing map method, which allows to obtain automatic clustering of consumers in the market by various characteristics. …”
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Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data by Zaharaddeen Karami Lawal, Ali Aldrees, Hayati Yassin, Salisu Dan'azumi, Sujay Raghavendra Naganna, Sani I. Abba, Saad Sh. Sammen

“…The objective was to apply a classification method to predict WQI using Kinta River data in Malaysia and improve on existing models&#x2019; <inline-formula> <tex-math notation="LaTeX">$70-95\%$ </tex-math></inline-formula> accuracy range. …”
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A Guide on Spectral Methods Applied to Discrete Data in One Dimension by Martin Seilmayer, Matthias Ratajczak

“…The goal of this paper is to collect the important information about the common methods to give the reader a guide on how to use these for application on one-dimensional data. …”
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Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

“…Traditionally, interpolation methods such as Kriging have been widely used to deal with data gaps; however, their predictive accuracy in regions with sparse data still needs improvement. …”
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New methods for gathering the spatial data from land consolidation project by Mária Leitmanová, Jaroslav Bažík, Zlatica Muchová

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Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

“…A series of data processing methods and compliance criteria for icing meteorology are standardized, including cloud gaps, liquid water content, total water collection rate, icing rate, icing thickness, and degree of ice shedding. …”
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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation by Hanan Abdullah Mengash, Hany Mahgoub, Asma Alshuhail, Abdulbasit A. Darem, Jihen Majdoubi, Ayman Yafoz, Raed Alsini, Omar Alghushairy

“…If farmers optimise their operations with the help of a Wireless Sensor Network (WSN), they will be able to work much more efficiently and effectively. Data aggregation involves collecting information from multiple sensors. …”
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Methods and results used in the development of a consensus-driven extension to the Consolidated Standards of Reporting Trials (CONSORT) statement for trials conducted using cohorts and routinely collected data (CONSORT-ROUTINE) by Chris Gale, David Torgerson, Lehana Thabane, Brett D Thombs, Eric I Benchimol, David Erlinge, Philippe Ravaud, Danielle B Rice, Linda Kwakkenbos, Maureen Sauve, Helena M Verkooijen, Ole Fröbert, Merrick Zwarenstein, Lars G Hemkens, Margaret Sampson, Clare Relton, Jon Nicholl, John Fletcher, Sinéad M Langan, Mahrukh Imran, Marion K Campbell, Stephen J McCall, Kimberly A McCord, Rudolf Uher, Edmund Juszczak

“…Objectives Randomised controlled trials conducted using cohorts and routinely collected data, including registries, electronic health records and administrative databases, are increasingly used in healthcare intervention research. …”
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Review of Urban Rail Transit Ticket Clearing Methods by WANG Yao, LI Jiming, GAO Shen, LIU Guangjie, XU Zhongquan

“…A more scientific and reasonable clearing scheme needs to further strengthen big data research on the AFC (automatic fare collection) system, and more importantly, relying on existing technologies and computing models is required to strengthen the real-time analysis and overtime prediction accuracy of passengers′ path selection behavior, so as to enable the clearing mechanism accurately make adaptive dynamic adjustments according to actual operating conditions.…”
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Identification Method of Soft Tissue Deformation System Based on Measured Data by WEN Ze-yu, LI Jie

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A Data-Driven Loose Contact Diagnosis Method for Smart Meters by Wenpeng Luan, Yajuan Huang, Bochao Zhao, Hanju Cai, Yang Han, Bo Liu

“…Voltage differentials, extracted from operational data collected via a simulated multi-meter metering enclosure, are leveraged to diagnose terminal contact degradation. …”
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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…RDSFM addresses residuals caused by spatial and temporal variations, utilizing the IR-MAD algorithm to estimate subpixel distribution weights based on multivariate data collected over time. Compared to existing methods, RDSFM offers several key advantages: (1) It accurately predicts seasonal variations in bands such as red and NIR, (2) It effectively handles heterogeneous landscapes and shifting land cover, and (3) It requires only one high-resolution reference image as input, minimizing data requirements. …”
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Segmented Curve-Fitting Method for Continuum Removal in CRISM MTRDR data by P. Kumari, S. Soor, A. Shetty, S. G. Koolagudi

“…The performance of SCF is compared with UCH and a few other apparent continuum removal methods previously used in literature, using a collection of simulated data of varying complexity as well as a real CRISM TRDR hyperspectral dataset. …”
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Developing Survey Methods for Collecting Individual Policy Narratives: A case study of climate change narratives using an engaged convenience sample by Wesley Wehde, Mildred Perreault

“…We use two different ways of collecting narratives in surveys. The first method relies on priming participants to consider certain narrative elements, while the other primes participants to consider the overarching narrative instead of individual elements. …”
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