Relevant bibliographies by topics / Quantification of qualitative data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quantification of qualitative data'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Quantification of qualitative data"

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Mitchell, James, Richard J. Smith, and Martin R. Weale. "Quantification of Qualitative Firm‐Level Survey Data." Economic Journal 112, no. 478 (2002): C117—C135. http://dx.doi.org/10.1111/1468-0297.00021.

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Rahman, Kaleel, and Charles S. Areni. "The Benefits of Quantifying Qualitative Brand Data." International Journal of Market Research 58, no. 3 (2016): 421–50. http://dx.doi.org/10.2501/ijmr-2015-053.

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Researchers suggest quantification of qualitative data as an innovative approach to knowledge creation. Brand associations, a form of qualitative data, are common in measuring customer-based brand equity. The branding literature suggests that not all brand associations are equal. The strength, uniqueness and valence of brand associations need to be considered when assessing brand associations (Keller 1993). Although Keller's work is cited by many, no study has devised a method to quantify and integrate these three dimensions into a single index. This study provides an approach to address all t
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Proietti, Tommaso, and Cecilia Frale. "New proposals for the quantification of qualitative survey data." Journal of Forecasting 30, no. 4 (2010): 393–408. http://dx.doi.org/10.1002/for.1174.

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Nardo, Michela. "The Quantification of Qualitative Survey Data : A Critical Assessment." Journal of Economic Surveys 17, no. 5 (2003): 645–68. http://dx.doi.org/10.1046/j.1467-6419.2003.00208.x.

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Dahl, Christian M., and Lin Xia. "Quantification of Qualitative Survey Data and Test of Consistent Expectations." Journal of Business Cycle Measurement and Analysis 2004, no. 1 (2004): 71–92. http://dx.doi.org/10.1787/jbcma-v2004-art5-en.

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Costley, Jamie, and Seung Lock Han. "Applying Quantification of Qualitative Verbal Data to Asynchronous Written Discourse." Creative Education 04, no. 12 (2013): 1–8. http://dx.doi.org/10.4236/ce.2013.412a1001.

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KANO, Manabu, Koichi FUJIWARA, Shinji HASEBE, and Hiromu OHNO. "Quantification of Qualitative Quality Information for Data-Driven Quality Improvement." Transactions of the Society of Instrument and Control Engineers 42, no. 8 (2006): 902–8. http://dx.doi.org/10.9746/sicetr1965.42.902.

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Sijbesma, Christine, and Leonie Postma. "Quantification of qualitative data in the water sector: the challenges." Water International 33, no. 2 (2008): 150–61. http://dx.doi.org/10.1080/02508060802022209.

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Dündar, Betül, Diyar Akay, Fatih Emre Boran, and Suat Özdemir. "Fuzzy Quantification and Opinion Mining on Qualitative Data using Feature Reduction." International Journal of Intelligent Systems 33, no. 9 (2017): 1840–57. http://dx.doi.org/10.1002/int.21917.

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Hundt, Marianne, and Adina Staicov. "Identity in the London Indian diaspora: Towards the quantification of qualitative data." World Englishes 37, no. 2 (2018): 166–84. http://dx.doi.org/10.1111/weng.12311.

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Dissertations / Theses on the topic "Quantification of qualitative data"

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村上, 隆., та Takashi Murakami. "カテゴリカル・データの非計量的主成分分析の応用". 名古屋大学教育学部, 1997. http://hdl.handle.net/2237/2866.

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Holste, Angela Sarah. "Développement des méthodes bio analytique pour l’analyse quantitative et qualitative des peptides et protéines marqués par le couplage de la chromatographie et la spectrométrie de masse." Thesis, Pau, 2014. http://www.theses.fr/2014PAUU3004/document.

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Cette thèse est le résultat d’une cotutelle entre l'Université de Pau et des Pays de l'Adour (UPPA) à Pau, en France et l'Université Christian Albrecht (CAU) à Kiel, en Allemagne. Dans le cadre de cette collaboration internationale, des méthodes bio-analytiques sont développées pour analyser quantitativement et qualitativement des peptides et protéines marquées par le couplage de la chromatographie avec la spectrométrie de masse. Les peptides et les digestats des protéines sont marquées selon un protocole optimisé par des lanthanides en utilisant des composés à base de DOTA. La séparation des
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Lal, Rajnesh. "Data assimilation and uncertainty quantification in cardiovascular biomechanics." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS088/document.

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Les simulations numériques des écoulements sanguins cardiovasculaires peuvent combler d’importantes lacunes dans les capacités actuelles de traitement clinique. En effet, elles offrent des moyens non invasifs pour quantifier l’hémodynamique dans le cœur et les principaux vaisseaux sanguins chez les patients atteints de maladies cardiovasculaires. Ainsi, elles permettent de recouvrer les caractéristiques des écoulements sanguins qui ne peuvent pas être obtenues directement à partir de l’imagerie médicale. Dans ce sens, des simulations personnalisées utilisant des informations propres aux patien
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Wright, Robert. "Quantification of cortical folding using MR image data." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39037.

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The cerebral cortex is a thin layer of tissue lining the brain where neural circuits perform important high level functions including sensory perception, motor control and language processing. In the third trimester the fetal cortex folds rapidly from a smooth sheet into a highly convoluted arrangement of gyri and sulci. Premature birth is a high risk factor for poor neurodevelopmental outcome and has been associated with abnormal cortical development, however the nature of the disruption to developmental processes is not fully understood. Recent developments in magnetic resonance imaging have
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Reece, Steven. "Qualitative model-based multi-sensor data fusion : the qualitative Kalman filter." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299237.

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Ahlfeld, Richard Benedikt Heinrich. "A data-driven uncertainty quantification method for scarce data and rare events." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/59075.

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The efficient integration of manufacturing, experimental or operational data into physical simulations using uncertainty quantification techniques is becoming increasingly important for the engineering industry. There is a genuine interest to use uncertainty quantification methods to improve product efficiency, reliability, and safety. However, temporary methods still have various limitations, which have prevented a wider industrial application. This thesis analyses existing problems in industry and contributes new solutions in five areas: data scarcity, the curse of dimensionality, rare event
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Shi, Hongxiang. "Hierarchical Statistical Models for Large Spatial Data in Uncertainty Quantification and Data Fusion." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802515691938.

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Chonde, Daniel B. "Improved PET Data Quantification in Simultaneous PET/MR Neuroimaging." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467219.

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Recently, systems that integrate positron emission tomography and magnetic resonance imaging (PET/MR) have become available for clinical use. This new technology, which combines the high spatial resolution and superior soft-tissue contrast of MR with the picomolar sensitivity, quantitative capabilities, and wide array of tracers of PET, has the potential to benefit patients and provide insights that were previously unattainable in standalone systems. Simultaneous measurement of PET and MR parameters provides complementary information, allowing for a more complete assessment of disease, as wel
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Henley, Lisa. "The quantification and visualisation of human flourishing." Thesis, University of Canterbury. School of Mathematics and Statistics, 2015. http://hdl.handle.net/10092/10441.

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Economic indicators such as GDP have been a main indicator of human progress since the first half of last century. There is concern that continuing to measure our progress and / or wellbeing using measures that encourage consumption on a planet with limited resources, may not be ideal. Alternative measures of human progress, have a top down approach where the creators decide what the measure will contain. This work defines a 'bottom up' methodology an example of measuring human progress that doesn't require manual data reduction. The technique allows visual overlay of other 'factors' that us
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Pinnaka, Chaitanya. "Quantification of User Privacy Loss." Thesis, KTH, Kommunikationsnät, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119822.

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With the advent of communication age newer, faster and arguably better ways of moving information are at our disposal. People felt the need to stay connected which led to the evolution of smart gadgets like cell phones, tablets and laptops. The next generations of automobiles are keen in extending this connectivity to the vehicle user by arming themselves with radio interfaces. This move will enable the formation of vehicular networks where each car (mobile node) will be an instance of mobile ad hoc networks, popularly referred as Vehicular AdHoc Networks (VANETS). These networks will provide
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Books on the topic "Quantification of qualitative data"

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Reworking qualitative data. SAGE, 2004.

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Andrew, Brown, ed. Working with qualitative data. SAGE, 2009.

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Fisher, Mike. Qualitative computing: Using software for qualitative data analysis. Ashgate Pub., 1997.

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Israëls, A. Z. Eigenvalue techniques for qualitative data. DSWO Press, 1987.

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Strategies for interpreting qualitative data. Sage Publications, 1995.

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Weaver, Anna. Microcomputing and qualitative data analysis. Avebury, 1994.

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Kuckartz, Udo, and Stefan Rädiker. Analyzing Qualitative Data with MAXQDA. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15671-8.

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Wayne, Ryan Gery, ed. Analyzing qualitative data: Systematic approaches. Sage, 2009.

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Mills, Kathy A. Big Data for Qualitative Research. Routledge, 2019. http://dx.doi.org/10.4324/9780429056413.

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Lyons, Evanthia, and Adrian Coyle. Analysing Qualitative Data in Psychology. SAGE Publications, Ltd, 2007. http://dx.doi.org/10.4135/9781446207536.

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Book chapters on the topic "Quantification of qualitative data"

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Triantaphyllou, Evangelos. "Quantification of Qualitative Data for MCDM Problems." In Applied Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3157-6_3.

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Lauro, C., D. Nappo, M. G. Grassia, and R. Miele. "Method of Quantification for Qualitative Variables and their Use in the Structural Equations Models." In Classification and Multivariate Analysis for Complex Data Structures. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13312-1_34.

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Abeyasekera, Savitri. "7. Introduction: Reflections on quantification; Quantitative analysis approaches to qualitative data: why, when and how?" In Methods in Development Research. Practical Action Publishing, 2005. http://dx.doi.org/10.3362/9781780440286.007.

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Balamane, Maya, and Stephanie A. Kolakowsky-Hayner. "Qualitative Data." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1238.

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Kolakowsky-Hayner, Stephanie A. "Qualitative Data." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1238.

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Balamane, Maya, and Stephanie A. Kolakowsky-Hayner. "Qualitative Data." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1238-2.

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Manicas, Peter T. "Explanation and Quantification." In The Qualitative-Quantitative Distinction in the Social Sciences. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-017-3444-8_10.

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Besnard, Philippe, Jean-Marc Guinnebault, and Emmanuel Mayer. "Propositional quantification for conditional logic." In Qualitative and Quantitative Practical Reasoning. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0035622.

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Haklay, Mordechai (Muki). "Beyond quantification." In Data and the City. Routledge, 2017. http://dx.doi.org/10.4324/9781315407388-16.

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Vavilis, Sokratis, Milan Petković, and Nicola Zannone. "Data Leakage Quantification." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43936-4_7.

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Conference papers on the topic "Quantification of qualitative data"

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O’Brien, Michael, Yifei Dai, and Glen L. Niebur. "Mechanical Validation of Computed Tomographic Quantification of Posterolateral Intertransverse Lumbar Fusion." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192279.

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The New Zealand White (NZW) rabbit is often used as an animal model in posterolateral intrertransverse lumbar fusions [1]. Qualitative measures, such as manual palpation and radiographs, have been used to assess fusion mass [1]. However, an evaluation by sacrifice and biomechanical testing is the gold standard for quantitative data. A non-invasive approach to quantitatively assess the mechanics of spinal fusion could allow longitudinal studies with decreased need for animal sacrifice.
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Czizik, A., E. E. Austin, K. A. Young, et al. "The Quantification of Qualitative Data in the COPD Foundation (COPDF) COPD360social Community Forum Posts to Identify COVID-19 Discussion Themes in the United States." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a1501.

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Coscarelli, Eugenio, Alessandro Del Nevo, and Francesco D’Auria. "Post Test Analysis of LB LOCA Transient in PSB-VVER by CATHARE2 Code." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-30332.

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The OECD/NEA PSB-VVER project provided unique and useful experimental data from the large-scale PSB-VVER test facility for code validation. This facility represents the scaled down layout of the Russian designed PWR reactors, namely VVER-1000. The fifth experiment is a LB LOCA in cold leg. The objectives of the test are the investigation of the thermal-hydraulic response of the VVER-1000 following a LB LOCA accident as well as the investigation of the phenomena involved in the transient by the availability of experimental data which are useful for the validation of thermal-hydraulic system cod
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Alshatshati, Salahaldin F., Kevin P. Hallinan, Abdulrahman Arlobaian, Badr Altarhuni, and Adel Naji. "Data Mining Approach for Estimating Residential Attic Thermal Resistance From Aerial Thermal Imagery, Utility Data, and Housing Data." In ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3092.

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Conventional residential building energy auditing needed to identify opportunities for energy savings is expensive and time consuming. On-site energy audits require quantification of envelope R-values, air and duct leakage, and heating and cooling system efficiencies. There is a need to advance lower cost automated approaches, which could include aerial and drive-by thermal imaging at-scale in an effort to measure the building R-value. However, single-point in time thermal images are generally qualitative, subject to errors stemming from building dynamics, background radiation, wind speed vari
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Lin, Linyu, Pascal Rouxelin, Paridhi Athe, Nam Dinh, and Jeffrey Lane. "Development and Assessment of Data-Driven Digital Twins in a Nearly Autonomous Management and Control System for Advanced Reactors." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16813.

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Abstract A critical component of the autonomous control system is the implementation of digital twin (DT) for diagnosing the conditions and prognosing the future transients of physical components or systems. The objective is to achieve an accurate understanding and prediction of future behaviors of the physical components or systems and to guide operating decisions by an operator or an autonomous control system. With specific requirements in the functional, interface, modeling, and accuracy, DTs are developed based on operational and simulation databases. As one of the modeling methods, data-d
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ChiuHuang, Cheng-Kai, Chuanzhen Zhou, and Hsiao-Ying Shadow Huang. "Exploring Lithium-Ion Intensity and Distribution via a Time-of-Flight Secondary Ion Mass Spectroscopy." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63013.

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For high rate-capability and low cost lithium-ion batteries, the prevention of capacity loss is one of major challenges facing by lithium-ion batteries today. During electrochemical processes, lithium ions diffuse from and insert into battery electrodes accompanied with the phase transformation, where ionic diffusivity and concentration are keys to the resultant battery capacity. In the current study, we first compare voltage vs. capacity curves at different C-rates (1C, 2C, 6C, 10C). Second, lithium-ion distributions and intensity are quantified via the Time-of-Flight Secondary Ion Mass Spect
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Kopanski, J. J., and J. F. Marchiando. "Quantitative Interpretation of Scanning Capacitance Microscope Images as Two-Dimensional Dopant Profiles." In ISTFA 2003. ASM International, 2003. http://dx.doi.org/10.31399/asm.cp.istfa2003p0398.

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Abstract Scanning capacitance microscopy (SCM) is used as a qualitative analysis tool with multiple applications for failure analysis. SCM can measure the shape of dopant profiles, can ascertain if certain implants have been completed, can verify the conduction type of implanted regions, and can look for unexpected shorts or opens in doped regions of a device. To obtain quantitative two-dimensional dopant profiles from SCM images of silicon devices requires careful attention to the data acquisition conditions and processing of the measured SCM image using quantification software. This paper di
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Wang, Shuang. "An Investigation Into KCS Parametric Rolling Through Coupling Different DOFs." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-19014.

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Abstract The research of parametric rolling has encountered many challenging problems due to its nonlinearity. In this paper, an in-house CFD code HUST-Ship based on fully structured overset grids is used for the investigation of KCS parametric rolling, which can overcome the shortcomings of potential flow method. Modeling errors and numerical errors are presented to improve the credibility of CFD simulation. The grid and time step are studied for the quantification of numerical errors. The phenomenon of parametric rolling is successfully captured in the paper and motion responses of KCS have
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Xu, Tianzong (David). "Understanding Quantitative Performance of Large Standoff Magnetometry in Detecting Live Gas Pipeline Anomalies With Stress Estimation." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78655.

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Large standoff magnetometry (LSM) is an emerging non-intrusive, above-ground, passive geo-magnetization flux leakage measurement technology to detect pipeline features or anomalies associated with elevated stresses. Although many promising field trial results have been reported in the past, its overall performance still has not reached sufficient consistency and reliability. This paper presents PG&E’s effort in gaining some fundamental understanding of the current LSM technology and its qualitative & quantitative performance. Specifically location accuracy of girth weld, casing end, de
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Silva, Edcley, Nivan Ferreira, and Fabio Miranda. "A COMPARATIVE STUDY OF TECHNIQUES OF VISUALIZATION OF DISTRIBUTIONS FOR GEOGRAPHICAL DATA." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12989.

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Currently, technological advances have revolutionized the way natural phenomena are studied. Natural phenomena can be represented through distributions of geographic data that are a rich source of information and can be explored in different ways. One of them is the representation of uncertainty through the distribution of probability. Modeling the uncertainty of this type of distribution and representing it in geographic visualization is complicated because maps (common types of geographic visualization) need the visual environment to represent geographic space and there are not many ways to
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Reports on the topic "Quantification of qualitative data"

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Clayton, E. A., and R. E. Lewis. Data fusion qualitative sensitivity analysis. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/120912.

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Anh Bui and Nam Dinh. Quantification of Data Needs, Data Collection and. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1084685.

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Vardigan, Mary, ed. A Qualitative Data Model for DDI. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddiworkingpaper05.

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Bybee, Ashley N., and Dominick E. Wright. A Qualitative Data Collection Strategy for Africa. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada582613.

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Maule, R. W., Gordon Schacher, Shelley Gallup, Charles Marashian, and Bryan McClain. Ethnographic Qualitative Knowledge Management System Data Classification Schema. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384029.

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Shell-Duncan, Bettina, Amadou Moreau, Sarah Smith, and Holly Shakya. Reference guide for data collection: Qualitative social network interviews. Population Council, 2019. http://dx.doi.org/10.31899/rh9.1091.

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Mueller, Juliane. Machine Learning to Enable Efficient Uncertainty Quantification, Data Assimilation, and Informed Data Acquisition. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769743.

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Stewart, James R. USACM Thematic Workshop On Uncertainty Quantification And Data-Driven Modeling. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1367419.

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Anderson, Gemma, Baoxiang Pan, André Goncalves, et al. Robust data-driven uncertainty quantification in water cycle extreme predictions. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769775.

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Hund, Lauren, Benjamin B. Schroeder, Kelin Rumsey, and Nicole Murchison. Robust approaches to quantification of margin and uncertainty for sparse data. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1394061.

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