Relevant bibliographies by topics / Quantitative research

Academic literature on the topic 'Quantitative research'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Quantitative research"

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Norkett, Lyn. "Quantitative research." Nursing Standard 27, no. 43 (June 26, 2013): 59. http://dx.doi.org/10.7748/ns2013.06.27.43.59.s52.

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Watson, Roger. "Quantitative research." Nursing Standard 29, no. 31 (April 2015): 44–48. http://dx.doi.org/10.7748/ns.29.31.44.e8681.

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Juan J. López-Jiménez, Juan J. López-Jiménez, José A. García-Berná Juan J. López-Jiménez, Sofia Ouhbi José A. García-Berná, Begoña Moros Valle Sofia Ouhbi, and José L. Fernández-Alemán Begoña Moros Valle. "A Quantitative Characterization of Audience Response System Research." 網際網路技術學刊 25, no. 1 (January 2024): 129–46. http://dx.doi.org/10.53106/160792642024012501011.

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<p>Audience Response Systems (ARS) can be used to increase students&rsquo; commitment and engagement. ARS are becoming popular at lectures, complementing traditional masterclasses and shedding light to a more profitability of the time. Several researchers studied the impact of ARS in the classroom. However, there is a lack of information about the current research landscape to identify paths towards the development of scientific research and projects in ARS field. This bibliometric study discusses a collection of bibliometric parameters on ARS literature that were calculated from data downloaded in Scopus database. A total of 2,015 publications were considered from Scopus database. Results showed that the number of publications is stable since 2010 with a noticeable decrease in 2019. The United States and the United Kingdom are the most productive countries with a total of 898 papers in the US and 179 in the UK. The most prolific author was Daniel Zingaro from the University of Toronto with a total of 10 manuscripts published. This study provides researchers who are interested in conducting research on ARS with insights on potential venues for publications and collaboration with research institutions and researchers that are more prolific in the field.</p> <p>&nbsp;</p>
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Bloomfield, Jacqueline, and Murray Fisher. "Quantitative research design." Journal of the Australasian Rehabilitation Nurses' Association 22, no. 2 (September 7, 2019): 27–30. http://dx.doi.org/10.33235/jarna.22.2.27-30.

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Munro, Barbara Hazard. "Quantitative Research Methods." Alzheimer Disease & Associated Disorders 13 (1999): S50–53. http://dx.doi.org/10.1097/00002093-199904001-00012.

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MORGAN, GEORGE A., JEFFREY A. GLINER, and ROBERT J. HARMON. "Quantitative Research Approaches." Journal of the American Academy of Child & Adolescent Psychiatry 38, no. 12 (December 1999): 1595–97. http://dx.doi.org/10.1097/00004583-199912000-00022.

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Santy, Julie, and Julia Kreale. "Critiquing quantitative research." Journal of Orthopaedic Nursing 2, no. 2 (May 1998): 77–83. http://dx.doi.org/10.1016/s1361-3111(98)80073-3.

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Fabozzi, Frank J., Sergio M. Focardi, and Christopher K. Ma. "Implementable Quantitative Research." Journal of Alternative Investments 8, no. 2 (September 30, 2005): 71–79. http://dx.doi.org/10.3905/jai.2005.591579.

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Liang, Disi. "Quantitative Research Vortex?" Frontiers in Humanities and Social Sciences 3, no. 7 (July 22, 2023): 109–17. http://dx.doi.org/10.54691/fhss.v3i7.5307.

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This research used a systematic review method to sort out the research frontiers of scientific creativity in the past five years, and describes the frontier research overview of scientific creativity from the publication trend, research design, research results, trends and challenges. The results show that the research of scientific creativity has entered the vortex of quantitative analysis, and the quantity of qualitative research and mixed research is insufficient. Currently, researchers have mainly discussed scientific creativity in the context of science learning, with many studies focusing on gender differences. However, the discussion on the elements and connotation of scientific creativity is not theoretical enough.
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Shields, Linda, and Alison Twycross. "Sampling in quantitative research." Paediatric Nursing 20, no. 5 (June 2008): 37. http://dx.doi.org/10.7748/paed.20.5.37.s30.

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Dissertations / Theses on the topic "Quantitative research"

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Hoffman, Melissa. "Quantitative Proteomics to Support Translational Cancer Research." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7303.

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Altered signaling pathways, which are mediated by post-translational modifications and changes in protein expression levels, are key regulators of cancer initiation, progression, and therapeutic escape. Many aspects of cancer progression, including early carcinogenesis and immediate response to drug treatment, are beyond the scope of genetic profiling and non-invasive monitoring techniques. Global protein profiling of cancer cell line models, tumor tissues, and biofluids (e.g. serum or urine) using mass spectrometry-based proteomics produces novel biological insights, which support improved patient outcomes. Recent technological advances resulting in next-generation mass spectrometry instrumentation and improved bioinformatics workflows have led to unprecedented measurement reproducibility as well as increased depth and coverage of the human proteome. It is now possible to interrogate the cancer proteome with quantitative proteomics to identify prognostic cancer biomarkers, stratify patients for treatment, identify new therapeutic targets, and elucidate drug resistance mechanisms. There are, however, numerous challenges associated with protein measurements. Biological samples have a high level of complexity and wide dynamic range, which is even more pronounced in samples used for non-invasive disease monitoring, such as serum. Cancer biomarkers are generally found in low abundance compared to other serum proteins, particularly at early stages of disease where cancer detection would make the biggest impact on improving patient survival. Additionally, the large-scale datasets generally require bioinformatics expertise to produce useful biological insights. These difficulties converge to create obstacles for down-stream clinical translation. This dissertation research demonstrates how proteomics is applied to develop new resources and generate novel workflows to improve protein quantification in complex biosamples, which could improve translation of cancer research to benefit patient care. The studies described in this dissertation move from assessment of quantitative mass spectrometry platforms, to analytical assay development and validation, and ending with personalized biomarker development applied to patient samples. As an example, four different quantitative mass spectrometry acquisition platforms are explored and comparisons of their ability to quantify low abundance peptides in a complex background are explored. Lung cancers frequently have aberrant signaling resulting in increased kinase activity and targetable signaling hubs; kinase inhibitors have been successfully developed and implemented clinically. Therefore, changes in amounts of kinase peptides in the complex background of peptides from all ATP-utilizing enzymes in a lung cancer cell line model after kinase inhibitor treatment was selected as a model system. Traditional mass spectrometry platforms, data dependent acquisition and multiple reaction monitoring, are compared to the two newer methods, data independent acquisition and parallel reaction monitoring. Relative quantification is performed across the four methods and analytical performance as well as downstream applications, including drug target identification and elucidation of signaling changes. Liquid chromatography – multiple reaction monitoring (LC-MRM) was selected for development of multiplexed quantitative assays based on superior sensitivity and fast analysis times, allowing for larger peptide panels. Method comparison results also provide guidelines for quantitative proteomics platform selection for translational cancer researchers. Next, a multiplexed quantitative LC-MRM assay targeting a panel of 30 RAS signaling proteins was developed and described. Over 30% of all human cancers have a RAS mutation and these cancers are generally aggressive and limited treatment options, leading to poor patient prognosis. Many targeted inhibitors have successfully shut down RAS signaling, leading to tumor regression, however, acquired drug resistance is common. The multiplexed LC-MRM assays characterized and validated are a publically available resource for cancer researchers to interrogate the RAS signal transduction network. Feasibility has been demonstrated in cell line models in order to identify signaling changes that confer BRAF inhibitor resistance and biomarkers of sensitivity to treatment. This analytical LC-MRM panel could support meaningful development of new therapeutic options and identification of companion biomarkers, with the end goal of improving patient outcomes. Multiplexed LC-MRM assays developed for personalized disease biomarkers using an integrated multi-omics approach are described for Multiple Myeloma, an incurable malignancy with poor patient outcomes. This disease is characterized by clonal expansion of the plasma cells in the bone marrow, which secrete a monoclonal immunoglobulin, or M-protein. Clinical treatment decisions are based on multiple semi-quantitative assays that require manual evaluation. In the clinic, minimal residual disease quantification methods, including multi-parameter flow cytometry and immunohistochemistry, are applied to bone marrow aspirates, which is a highly invasive technique that does not provide a systemic evaluation of the disease. To address these issues, we hypothesized that unique variable region peptides could be identified and LC-MRM assays developed specific to each patient’s M-protein to improve specificity and sensitivity in non-invasive disease monitoring. A proteogenomics approach was used to design personalized assays for each patient to monitor their disease progression, which demonstrate improved specificity and up to a 500-fold increase in sensitivity compared to current clinical methods. Assays can be developed from marrow aspirates collected when the patient was at residual disease stage, which is useful if no sample with high disease burden is available. The patient-specific tests are also multiplexed with constant region peptide assays that monitor all immunoglobulin heavy and light chain classes, which could reduce analysis to a single test. In conclusion, highly sensitive patient-specific assays have been developed that could change the paradigm for patient evaluation and clinical decision-making, increasing the ability of clinicians to continue first line therapy in the hopes of achieving a cure, or to intervene at an earlier time point in disease recurrence. This study also provides a blueprint for future development of personalized diagnostics, which could be applied to biomarkers of other cancer types. Overall, these studies demonstrate how quantitative proteomics can be used to support translational cancer research, from the impact of different mass spectrometry platforms on elucidating signaling changes and drug targets to the characterization of multiplexed LC-MRM assays applied to cell line models for translational research purposes and in patient serum samples optimized for clinical translation. We believe that mass spectrometry-based proteomics is poised to play a pivotal role in personalized diagnostics to support implementation of precision medicine, an effort that will improve the quality and efficiency of patient care.
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Marek, Greta I., P. Neal, A. Roache, and B. Crouch. "Panel participation on 2015 Quantitative and Qualitative Research." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/8405.

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Huang, Dashan. "Studies on quantitative finance via operations research methods." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/135989.

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Wang, Jing. "Advanced Quantitative Measurement Methodology in Physics Education Research." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1249366709.

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Thunberg, Zelda. "Youth Democratic Disengagement in Tunisia : A quantitative research." Thesis, Linnéuniversitetet, Institutionen för statsvetenskap (ST), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100169.

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This study aims to investigate why young people in Tunisia participate less in formal and informal politics than older people. First, I compare the participatory pattern of young people in six forms of political participation (voting, party membership, organization membership, campaign activity, protesting and attending meetings/signing petitions) to older Tunisians, with merged data from the Arab Barometers five waves (2012-2019). The data shows that young people indeed participate less than the older. To find out why, I rely on socio-economic, political-psychological and socialization theories. I examine the research problem through a logistic regression model with data from the Arab Barometers fourth wave (2016-2017), which considers key explanatory variables from the socioeconomic, political-psychological and socialization theories. The results show that the biggest obstacle for young people to participate in politics is their lack of socioeconomic resources. Furthermore, access to information through education, political news and social media seem to be the most substantial variables to stimulate political participation among young people in Tunisia.
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Turri, Maria Grazia. "Mapping of behavioural quantitative trait loci." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:89823fa1-c1d3-49e3-acb9-46da18b12245.

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Anxiety is a common disorder which affects about 25% of the population and whose pathophysiology is still poorly understood. Animal models of disease have been widely used to investigate the molecular basis of human disorders, including psychiatric illnesses. This thesis is about the study of the genetic basis of a mouse model of anxiety. I have carried out a QTL mapping study of behavioural measures thought to model anxiety. I report results from 1,636 mice, assessed for a large number of phenotypes in five ethological tests. Mice belonged to two F2 intercrosses originated by four lines generated in a replicate selection experiment. By comparing mapping results between the two crosses, I have demonstrated that selection operated on the same relatively small number of loci in the four selected lines. Analysis of genetic effect of QTL across phenotypes has allowed me to identify loci with specific roles on different dimensions of anxious behaviour, therefore enhancing our understanding of the anxiety phenotype in mice. For some of these QTL I have also accomplished fine mapping experiments: a locus on chromosome 15 is now contained in an interval of only 3 centimorgans. This work is the basis for further molecular dissection of the genetic loci that underlie anxiety and provides a starting point for the discovery of genes involved in a common psychiatric condition.
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Wise, Ruth E. "Design Research and Research Design: Application of Quantitative Methodology to the Design Process." Cincinnati, Ohio : University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1219093105.

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Thesis (Master of Design)--University of Cincinnati, 2008.
Advisor: Peter Embi MD (Committee Chair), Mike Zender MFA (Committee Member), Mark Eckman MD (Committee Member) Title from electronic thesis title page (viewed Jan. 17, 2009). Includes abstract. Keywords: design research; quantitative methodology; graphic design; visual communication; risk communication . Includes bibliographical references.
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González, Bellido Eduardo André. "Real-time quantitative sonoelastography in an ultrasound research system." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/9511.

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Quantitative Sono-Elastographie ist eine neue Technologie für die Ultraschall Bildgebung, die Radiologen maligne Tumoren ohne Risiko der strahlungsinduzierten Krebs (d.h. Mammographie) zu erfassen können. Aufgrund gefunden Rechenkomplexität in der aktuellen Algorithmen, Implementierung von Echtzeit-Anwendungen, die Prüfungsverfahren profitieren wurde jedoch noch nicht berichtet. Zusätzlich, aktuelle Schätzer für die Darstellung eine Elastizität Bilder vorhanden Artefakte der hohen Schätzung Varianz, die die Techniker in die Gegenwart steifer Massen irreführen könnten und zwar, falsch-positive Diagnose zu erzeugen. In dieser Arbeit wird eine GPU-basierte Elastographie-System entwickelt und an einem Forschungsultraschallgeräten implementiert. Quantitative Elastizität in Echtzeit bei 2 FPS mit einer Verbesserung Rechenzeitfaktor aus 26 wird gezeigt. Validierung der Systemgenauigkeit Anzeige wurde, auf Gelatinebasis Gewebe Phantome durchgeführt., waren niedrige Vorspannung der Elastizitätswerte berichtet wurde (4,7 %) bei geringe Anregungsfrequenzen nachahmt. Ausserdem wird eine neue Elastizität Schätzer auf quantitative Sono-Elastographie basiert eingeführt. Ein lineares Problem wurde entlang der seitlichen Abmessung modelliert und eine Regularisierung Methode wurde implementieren. Elastizität Bilder mit niedriger Vorspannung wurde darstellen (1,48 %) sowie seine Leistung in einer Brust kalibrierte Phantom mit verbesserter CNR (47,3 dB) im Vergleich mit anderen Schätzer ausgewertet sowie die Verringerung Seiten Artefakte bereits erwähnt in der Literatur (PD: 22,7 dB, 1DH 28,7 dB) gefunden. Diese zwei Beitrag profitieren, die Umsetzung und Entwicklung weiterer Elastographie Techniken, die eine verbesserte Qualität der Elastizität Bilder liefern könnten und somit eine verbesserte Genauigkeit der Diagnose.
Quantitative sonoelastography is an alternative technology for ultrasound imaging that helps radiologist to diagnose malignant tumors with no risk of radiation-induced cancer (i.e. mammography). However, due to the high computational complexity found in the current algorithms, implementation of real-time systems that could benefit examination procedures has not been yet reported. Additionally, elasticity maps depicted from current estimators feature artifacts of high estimation variance that could mislead the technician into the presence of stiffer masses, generating false positive diagnosis. In this thesis, a GPU-based elastography system was designed and implemented on a research ultrasound equipment, displaying quantitative elasticity in real-time at 2 FPS with an improvement computational time factor of 26. Validation of the system accuracy was conducted on gelatin-based tissue mimicking phantoms, where low bias of elasticity values were reported (4.7%) at low excitation frequencies. Additionally, a new elasticity estimator based on quantitative sonoelastography was developed. A linear problem was modeled from the acquired sonolastography data along the lateral dimension and a regularization method was implemented. The resulting elasticity images presented low bias (1.48%), enhanced CNR and reduced lateral artifacts when evaluating the algorithm’s performance in a breast calibrated phantom and comparing it with other estimators found in the literature. These two contribution benefit the implementation and development of further elastography techniques that could provide enhanced quality of elasticity images and thus, improved accuracy of diagnosis.
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Nordmark, Nicklas, and Henrik Gedda. "Do emotions matter? A quantitative research in Employer branding." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-67380.

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Employer branding is a key concept when managing human resources. Such management distinguishes the possibility to increase attractiveness with the use of employer brand associations when being an employer of choice. Employer brand emotions have been displaced to have fundamental role in prediction of becoming an employer of choice, as positive emotions boost employer branding.   Students are entering the business world and it is of importance to create an understanding of what variables students find as most attractive. By creating an understanding of the most essential variables in the right environment, organisations can differentiate and attract the most talented students. Hence, the purpose of this research is to describe the impact of employer brand emotions as a mediator between the relationship of employer brand associations and being an employer of choice, when investigating in a new context.  Empirical data has been gathered among student on a university level in Sweden, studying economy courses, through the data collection method of a quantitative approach. Questionnaires were sent out and 133 respondents were used to create an understanding of the impact of emotions in regard to the relationship between employer brand associations and an employer of choice.   The results indicate emotions to have a big influence on employer brand associations and moreover work content and social value to be the most fundamental employer brand associations in regard to emotions when investigating the perception of students. Therefor it is of great importance for management levels to understand the importance of the two variables when attracting Swedish students studying economy.
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Bain, Matthew D. "Supporting a Marine Corps Distributed Operations Platoon a quantitative analysis." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FBain.pdf.

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Books on the topic "Quantitative research"

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Clark-Carter, David. Quantitative Psychological Research. 4th Edition. | New York : Routledge, 2019. | Series: Revised edition of the author’s Quantitative psychological research, 2009.: Routledge, 2018. http://dx.doi.org/10.4324/9781315398143.

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van der Ark, L. Andries, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, and Sy-Miin Chow, eds. Quantitative Psychology Research. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19977-1.

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Millsap, Roger E., Daniel M. Bolt, L. Andries van der Ark, and Wen-Chung Wang, eds. Quantitative Psychology Research. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07503-7.

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van der Ark, L. Andries, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, and Marie Wiberg, eds. Quantitative Psychology Research. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38759-8.

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Peter, Thompson, and Open College, eds. Exploring quantitative research. Didsbury: The Open College, 1996.

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Frederick, Erickson, and American Educational Research Association, eds. Quantitative methods. New York: Macmillan, 1990.

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Hummel-Rossi, Barbara. Quantitative methods. [New York]: Distributed by Insight Media, 2006.

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Vogt, W. SAGE Quantitative Research Methods. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2011. http://dx.doi.org/10.4135/9780857028228.

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Gorard, Stephen. Quantitative Research in Education. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2008. http://dx.doi.org/10.4135/9781446263181.

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Singh, Kultar. Quantitative social research methods. Los Angeles: Sage Publications, 2007.

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Book chapters on the topic "Quantitative research"

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Faux, Robert. "Quantitative Research." In Encyclopedia of Critical Psychology, 1614–18. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-5583-7_558.

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Stull, Edward. "Quantitative Research." In UX Fundamentals for Non-UX Professionals, 233–42. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3811-0_33.

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Parahoo, Kader. "Quantitative Research." In Nursing Research, 42–54. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-28127-2_4.

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Wilson, Leigh A. "Quantitative Research." In Handbook of Research Methods in Health Social Sciences, 27–49. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5251-4_54.

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Yiduo, Ye, and Guo Jichang. "Quantitative Research." In The ECPH Encyclopedia of Psychology, 1. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6000-2_44-1.

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Wilson, Leigh A. "Quantitative Research." In Handbook of Research Methods in Health Social Sciences, 1–24. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-2779-6_54-1.

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Jonker, Jan, and Bartjan W. Pennink. "Quantitative Research." In The Essence of Research Methodology, 65–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-71659-4_4.

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Regan, Mitt. "Quantitative Research." In Drone Strike–Analyzing the Impacts of Targeted Killing, 115–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91119-5_6.

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Baldwin, Susan. "Quantitative Research." In The Nursing Companion, 350–59. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-36693-0_18.

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Oliveri, Antonino Mario. "Quantitative research." In Encyclopedia of Tourism, 767–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_297.

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Conference papers on the topic "Quantitative research"

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Kropas-Hughes, C. V. "Visions of future directions of NDE research." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1473044.

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Strunk, Kamden. "Questioning "Queer" in Quantitative Research." In 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1681579.

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Gartenberg, E. "Retrospective on aerodynamic research with infrared imaging." In 1992 Quantitative InfraRed Thermography. QIRT Council, 1992. http://dx.doi.org/10.21611/qirt.1992.011.

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Lehtiniemi, R., C. M. Fager, A. M. Hynninen, T. Aapro, P. Tiilikka, V. Kyyhkynen, and J. Rantala. "Applications of infrared thermography in electronics research." In 2000 Quantitative InfraRed Thermography. QIRT Council, 2000. http://dx.doi.org/10.21611/qirt.2000.024.

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Goodman-Deane, Joy, Sam Waller, Dana Demin, Arantxa González-de-Heredia, Mike Bradley, and John P. Clarkson. "Evaluating Inclusivity using Quantitative Personas." In Design Research Society Conference 2018. Design Research Society, 2018. http://dx.doi.org/10.21606/drs.2018.400.

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Mathuis, Philip. "From university research to commercial product (Conference Presentation)." In Quantitative Phase Imaging II, edited by Gabriel Popescu and YongKeun Park. SPIE, 2016. http://dx.doi.org/10.1117/12.2216801.

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Nowakowski, A. "Review of research on thermal problems in TUG." In 2016 Quantitative InfraRed Thermography. QIRT Council, 2016. http://dx.doi.org/10.21611/qirt.2016.094.

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Cardone, Gennaro. "An overview on hypersonic flow research with infrared thermography." In 2006 Quantitative InfraRed Thermography. QIRT Council, 2006. http://dx.doi.org/10.21611/qirt.2006.b.

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Loverude, Michael E. "Quantitative reasoning skills in math methods." In 2015 Physics Education Research Conference. American Association of Physics Teachers, 2015. http://dx.doi.org/10.1119/perc.2015.pr.046.

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Dehghan-Niri, Ehsan. "Quantitative Phase-Space Nonlinear Ultrasound (PSNU)." In ASNT 27th Annual Research Symposium. ASNT, 2018. http://dx.doi.org/10.32548/rs.2018.022.

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Reports on the topic "Quantitative research"

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Sánchez García, José, Carles Feixa Pàmpols, and Sofia Laine. Contemporary Youth Research in Arab Mediterranean Countries: Mixing Qualitative and Quantitative Research. SAHWA Project, November 2016. http://dx.doi.org/10.24241/swcp.2014.cp.

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Rexroth, Paul E., Leonard A. Malczynski, Gerald A. Hendrickson, Peter Holmes Kobos, and Laura A. McNamara. Modeling conflict : research methods, quantitative modeling, and lessons learned. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/919658.

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Shen, Yu-Chu, Karen Eggleston, Joseph Lau, and Christopher Schmid. Hospital Ownership and Financial Performance: A Quantitative Research Review. Cambridge, MA: National Bureau of Economic Research, October 2005. http://dx.doi.org/10.3386/w11662.

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4

Fuglie, Keith O., Keith D. Wiebe, Steven D. Prager, Timothy B. Sulser, Nicola Cenacchi, Camila Bonilla Cedrez, and Dirk Willenbockel. Quantitative analysis to inform priorities for international agricultural research. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136357.

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5

Cooper, M., and R. N. Beck. Nuclear medicine and imaging research (quantitative studies in radiopharmaceutical science). Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/7236116.

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Cooper, M., and R. Beck. Nuclear medicine and imaging research (quantitative studies in radiopharmaceutical science). Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/6604409.

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7

Silverman, David. Credible Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/qyww40gn48lun469.

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Abstract:
Qualitative research is often judged as if it were quantitative, with various critiques such as small sample sizes that can lead to the critique that it is not credible. This seminar offers a way to conceptualise and maximise the credibility of qualitative research in the context of a world that increasingly favours quantitative studies. The seminar is relevant to PhD students and post-PhD researchers who want to do qualitative research and to write it up rigorously and effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European PhD students.
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8

Silverman, David. Credible Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ygjjxkl9imsvl469.

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Abstract:
Qualitative research is often judged as if it were quantitative, with various critiques such as small sample sizes that can lead to the critique that it is not credible. This seminar offers a way to conceptualise and maximise the credibility of qualitative research in the context of a world that increasingly favours quantitative studies. The seminar is relevant to PhD students and post-PhD researchers who want to do qualitative research and to write it up rigorously and effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European PhD students.
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Beck, R. N., M. Cooper, and C. T. Chen. Nuclear medicine and imaging research (instrumentation and quantitative methods of evaluation). Office of Scientific and Technical Information (OSTI), July 1992. http://dx.doi.org/10.2172/7236067.

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Beck, R., and M. Cooper. Nuclear medicine and imaging research (Instrumentation and quantitative methods of evaluation). Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5261382.

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