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Articles de revues sur le sujet « Quantitative »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 9 juin 2025

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1

Anahita, Ghanad. "An Overview of Quantitative Research Methods." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 06, no. 08 (August 24, 2023): 3794–803. https://doi.org/10.5281/zenodo.8279073.

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The phrase "research" refers to seeking knowledge. It is a scholarly and systematic search for relevant knowledge on a specified subject. The Oxford Learner’s Dictionaries defines “Research” as “A careful study of a subject, especially to discover new facts or information about it”. Research is a philosophy of systematic study that critically investigates several aspects of professional work, including development of prominent concepts that manage a particular process, and development and analyse novel theories. In accordance with Woody (1927), research includes identifying research problem, creating hypotheses, collecting, analysing, and assessing data and making inference. As a result, research is a distinctive contribution that advances the current knowledge via investigation, observation, comparison, and experimentation. To put it in a nutshell, research is the pursuit of knowledge through a methodical approach to problem-solving.

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2

Materna-Morris, E., N. Lakota, T. Merkel, U. Mücke, St Scherer, and M. Walter. "Methodenvergleich zur quantitativen Fraktographie/ Comparison of Quantitative Fractography Methods." Practical Metallography 40, no. 6 (June 1, 2003): 273–86. http://dx.doi.org/10.1515/pm-2003-400604.

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3

Siegel, J. A., L. S. Zeiger, S. E. Order, R. Principato, and P. E. Wallner. "QUANTITATIVE BREMSSTRAHLUNG IMAGING FOR ACTIVITY QUANTITATION AND ABSORBED DOSEESTIMATION." Journal of Immunotherapy 16, no. 2 (August 1994): 155. http://dx.doi.org/10.1097/00002371-199408000-00036.

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Bordeerat, Narisa K., Nadia I. Georgieva, David G. Klapper, Leonard B. Collins, Tyra J. Cross, Christoph H. Borchers, James A. Swenberg, and Gunnar Boysen. "Accurate quantitation of standard peptides used for quantitative proteomics." PROTEOMICS 9, no. 15 (August 2009): 3939–44. http://dx.doi.org/10.1002/pmic.200900043.

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5

Gröbmeyer, A. "Reconstruction of quantitative nutrition by trace element data." Anthropologischer Anzeiger 55, no. 2 (June 1, 1997): 179–82. http://dx.doi.org/10.1127/anthranz/55/1997/179.

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Armstrong, N. Scott, and Charles K. Smart. "Quantitative." Annales scientifiques de l'École normale supérieure 49, no. 2 (2016): 423–81. http://dx.doi.org/10.24033/asens.2287.

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7

Poon, Jessie P. H. "Quantitative methods: producing quantitative methods narratives." Progress in Human Geography 27, no. 6 (December 2003): 753–62. http://dx.doi.org/10.1191/0309132503ph461pr.

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Ayral, Xavier. "Diagnostic and quantitative arthroscopy: quantitative arthroscopy." Baillière's Clinical Rheumatology 10, no. 3 (August 1996): 477–94. http://dx.doi.org/10.1016/s0950-3579(96)80045-8.

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9

Chen, Ruina, and Haitao Liu. "Quantitative Aspects ofJournal of Quantitative Linguistics." Journal of Quantitative Linguistics 21, no. 4 (August 5, 2014): 299–340. http://dx.doi.org/10.1080/09296174.2014.944327.

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10

Paredes Arriaga, Ana María, and María Cristina Alicia Velázquez Palmer. "Qualitative and Quantitative Research in Marketing." Administración y Organizaciones 27 (September 12, 2024): 175–89. http://dx.doi.org/10.24275/lvxw9555.

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11

Wiedicke, Annemarie. "Ethical challenges in contemporary quantitative content analysis." Studies in Communication and Media 12, no. 4 (2023): 354–76. http://dx.doi.org/10.5771/2192-4007-2023-4-354.

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Validität und der Forschungsethik sind eng miteinander verknüpft, auch in der inhaltsanalytischen Forschung. Dennoch wurde die quantitative Inhaltsanalyse in früheren forschungsethischen Debatten innerhalb der Kommunikationswissenschaft zu- meist ausgeblendet. Inzwischen wird jedoch zunehmend über die verschiedenen ethischen Herausforderungen, welche sich aus der Durchführung quantitativer Inhaltsanalysen im di- gitalen Zeitalter ergeben, diskutiert. Vor diesem Hintergrund liefert der vorliegende Beitrag, ausgehend von den vier Grundsätzen ethischer Forschung (Respekts vor der Selbstbestim- mung, Wohltun, Schadensvermeidung und Gerechtigkeit) und unter Berücksichtigung der verschiedenen Schritte im Forschungsprozess, einen systematischen Überblick über beste- hende Herausforderungen und mögliche methodisch-ethische Dilemmata moderner quanti- tativer Inhaltsanalysen. Wo möglich, werden entsprechende Lösungsvorschläge vorgestellt. Auf diese Weise knüpft der vorliegende Beitrag sowohl an die wachsende Forschungslitera- tur zur Ethik in der quantitativen Kommunikationsforschung als auch an den aktuellen Diskurs zur methodologischen Qualität moderner quantitativer Inhaltsanalysen an.

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12

Kas, Martien J., Alessandro Serretti, and Hugh Marston. "Quantitative neurosymptomatics: Linking quantitative biology to neuropsychiatry." Neuroscience & Biobehavioral Reviews 97 (February 2019): 1–2. http://dx.doi.org/10.1016/j.neubiorev.2018.11.013.

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13

Lydia, Ijeoma Eleje, Patricia-Mary Esomonu kechi, O. Okoye Romy, N. Agu Ngozi, O. Ugorji Clifford, A. Okoi Okoi, and C. Abanobi Chidiebere. "Students' Academic Achievement in Secondary-School Quantitative Economics: Effect of Feedback with Remediation." Education Quarterly Reviews 3, no. 4 (November 19, 2020): 479–88. https://doi.org/10.31014/aior.1993.03.04.155.

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Empirically investigated in this study is the effect feedback with remediation has on academic achievement in quantitative economics among students’ of secondary school. The design of the study was quasi experimental. 164 Senior Secondary 3 (SS3) students offering economics in the three co-educational schools consisted of the study sample. The three schools were purposely selected from Nnewi Education Zone of Anambra State in Nigeria and allocated to 2 experimental groups and 1 control group. Students’ responses to two instruments titled Diagnostic Quantitative Economics Skill Test (DQEST) and Test of Achievement in Quantitative Economics (TAQE) constituted relevant data used in the study. ANCOVA was used for data analysis. Results show that feedback with remediation has a significant effect in enhancing students’ achievement in quantitative economics. Nevertheless, gender and treatments did not interact to influence achievement in quantitative economics. Teachers need to focus not just on continuous testing but going further to assist students using feedback with remediation on any type of test given to them.

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14

Mehmood, Ali Mohammed, Ali Mohammed Murtuza, and Ali Mohammed Vazeer. "Impact of Artificial Intelligence on the Automation of Digital Health System." International Journal of Software Engineering & Applications (IJSEA) 13, no. 6 (May 18, 2023): 23–29. https://doi.org/10.5281/zenodo.7948021.

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Automating digital systems in healthcare plays a significant role in transforming the quality-of-care services delivered to patients across the board. This role is anticipated to be accomplished by the development and implementation of artificial intelligence in healthcare which has the potential to impact the provision of healthcare services. This paper sought to investigate the impact of adopting and implementing artificial intelligence on the automation of digital health systems within the different levels of healthcare. The general objective of the research study was to investigate the impact of artificial intelligence in the automation of digital health systems. 

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15

Mehmood, Ali Mohammed, Ali Mohammed Murtuza, and Ali Mohammed Vazeer. "Impact of Artificial Intelligence on the Automation of Digital Health System." International Journal of Software Engineering & Applications (IJSEA) 13, no. 6 (December 9, 2022): 23–29. https://doi.org/10.5281/zenodo.7417611.

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Automating digital systems in healthcare plays a significant role in transforming the quality-of-care services delivered to patients across the board. This role is anticipated to be accomplished by the development and implementation of artificial intelligence in healthcare which has the potential to impact the provision of healthcare services. This paper sought to investigate the impact of adopting and implementing artificial intelligence on the automation of digital health systems within the different levels of healthcare.

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16

Estrada, Eduardo. "Studying Developmental Processes in Accelerated Cohort-Sequential Designs with Discrete- and Continuous-Time Latent Change Score Models." Psychological Methods 24, no. 6 (December 7, 2019): 708–34. https://doi.org/10.1037/met0000215.

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[Published in Psychological Methods]. Studying the time-related course of psychological processes is a challenging endeavor, particularly over long developmental periods. Accelerated longitudinal designs (ALD) allow capturing such periods with a limited number of assessments in a much shorter time framework. In ALDs, participants from different cohorts are measured repeatedly but the measures provided by each participant cover only a fraction of the time range of the study. It is then assumed that the common trajectory can be studied by aggregating the information provided by the different converging cohorts. We conducted a Monte Carlo study to evaluate the practical relevance of using discrete- and continuous-time latent change score models for recovering the trajectories of a developmental process from ALD data under different sampling conditions. We focused on exponential trajectories typically found in the development of cognitive abilities from childhood to early adulthood. The results support the appropriateness of ALD designs to study such processes under various conditions of sampling. When all cohorts are drawn from the same population, both discrete- and continuous-time models are able to recover the parameters defining the underlying developmental process. However, discrete-time models yield biased estimates when time lags between observations are not constant. When cohorts are not from the same population and, thus, lack convergence, both types of models show bias in various parameters. We discuss the findings in the context of developmental methodology, encourage researchers to adopt continuous time models to analyze data from ALDs, and provide recommendations about how to implement such research designs.

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17

RIVAI, Haryanti, Kohei HIRONO, and Masao FURUSHO. "Quantitative Model of Collision Causes in Japan." Journal of Japan Institute of Navigation 127 (2012): 125–32. http://dx.doi.org/10.9749/jin.127.125.

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18

Hameed, Dr Abdul Aziz Shwaish Abdul. "Quantitative Easing and Monetary Policy Legitimate Perspective." Webology 19, no. 1 (January 20, 2022): 3070–88. http://dx.doi.org/10.14704/web/v19i1/web19203.

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Many economists, monetary policy makers and bankers view interest rates as an efficient tool for allocating funds, evaluating the efficiency of projects, and measuring financing costs, and that they are the main indicator of many economic variables and phenomena. Other variables, and enables those authorities to implement the monetary policy desired by them. This has led to an important fact, which is that interest rates have lost their effectiveness as a tool for resource allocation or as an influence on economic, credit and monetary policies, and then central banks resorted to new and unconventional tools and forms of monetary policy with the aim of pumping additional liquidity into the banking system or stimulating economic activity. These unconventional policies are the quantitative easing policy that is called quantitative easing sometimes or credit easing at other times, which is based on the central bank’s resort to buying troubled assets that caused a lack of liquidity in commercial banks, or buying assets and government securities from those banks in order to enable them to Adjusting its liquidity position and resuming its lending activity.

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19

Gihar, Rachna. "Research Paradigms: Qualitative, Quantitative and Mixed Method." International Journal of Science and Research (IJSR) 11, no. 10 (October 5, 2022): 444–47. http://dx.doi.org/10.21275/sr221010141739.

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20

Buchner, Michael, Tobias A. Jopp, Mark Spoerer, and Lino Wehrheim. "Zur Konjunktur des Zählens – oder wie man Quantifizierung quantifiziert. Eine empirische Analyse der Anwendung quantitativer Methoden in der deutschen Geschichtswissenschaft." Historische Zeitschrift 310, no. 3 (June 1, 2020): 580–621. http://dx.doi.org/10.1515/hzhz-2020-0019.

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ZusammenfassungHistoriker können heute auf einen gut gefüllten methodischen Werkzeugkasten zurückgreifen. Seit der Etablierung der Sozialgeschichte als „Historische Sozialwissenschaft“ in den 1970er Jahren gehören dazu neben qualitativ-hermeneutischen Ansätzen grundsätzlich auch quantitativ-statistische Methoden. Viele Quellen lassen einen quantitativen Analyseansatz zumindest zu; andere (z. B. Massendaten) sind ohne die Anwendung entsprechender Methoden gar nicht gewinnbringend auswertbar. Doch wie stark ist die Anwendung quantitativer Methoden in der deutschsprachigen Geschichtswissenschaft eigentlich verbreitet (gewesen)? Während der Einsatz statistischer Verfahren seit den Tagen der „Bielefelder Schule“ durch immer leistungsfähigere und zugleich anwenderfreundlichere Software prinzipiell viel einfacher geworden ist, scheinen quantitative Ansätze in nur wenigen historischen Teildisziplinen verbreitet zu sein. Ein Grund könnte die Skepsis gegenüber quantitativen Methoden von Seiten der Vertreter der „Neuen Kulturgeschichte“ sein. Wissenschaftshistorisch-empirisch ist dieser Aspekt jedoch kaum erforscht. Unsere Studie möchte diese Forschungslücke ein Stück weit schließen. Dazu haben wir ein umfangreiches Zeitschriftenkorpus (u. a. die HZ beinhaltend) erhoben, das es uns erlaubt, das Ausmaß quantitativen Arbeitens in der deutschsprachigen Historiographie für den Zeitraum 1951–2016 näher zu bestimmen. Wir argumentieren sowohl quantitativ als auch qualitativ und kombinieren dazu einen einfachen „Abzähl-Ansatz“ (Zählung der Tabellen und Grafiken in allen erhobenen Zeitschriften) mit einem komplexeren lexikografischen Ansatz. Unsere Ergebnisse stützen insgesamt die These, dass der cultural turn den aufkommenden Trend zu mehr Quantifizierung in Teilen der Geschichtswissenschaft wieder umkehrte. Die Bestimmung der „Konjunktur der Quantifizierung“ birgt aber auch manche Überraschung.

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21

Zhou, Huilin, Claudio Albuquerque, Jason Liang, Raymond T. Suhandynata, and Stephanie Weng. "Quantitative phosphoproteomics." Cell Cycle 9, no. 17 (September 2010): 3479–84. http://dx.doi.org/10.4161/cc.9.17.13152.

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22

McCallister, Gary Loren. "Quantitative Phagocytosis." American Biology Teacher 58, no. 6 (September 1996): 348–51. http://dx.doi.org/10.2307/4450175.

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23

Vázquez, José. "Quantitative Biology." American Biology Teacher 66, no. 2 (February 1, 2004): 151. http://dx.doi.org/10.2307/4451642.

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24

Michaux, B., and R. A. Reyment. "Quantitative Paleontology." Systematic Biology 42, no. 3 (September 1993): 402. http://dx.doi.org/10.2307/2992475.

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25

Coupette, Corinna, and Andreas M. Fleckner. "Quantitative Rechtswissenschaft." JuristenZeitung 73, no. 8 (2018): 379. http://dx.doi.org/10.1628/jz-2018-0020.

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26

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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27

MOTOJI, NAOMI. "Quantitative macroautoradiography." Drug Metabolism and Pharmacokinetics 4, no. 2 (1989): 199–210. http://dx.doi.org/10.2133/dmpk.4.199.

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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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29

Sakuma, Taketo. "Quantitative metallography." Journal of Japan Institute of Light Metals 49, no. 12 (December 30, 1999): 621–30. http://dx.doi.org/10.2464/jilm.49.621.

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30

Moore, Thomas. "Quantitative Literacy." Journal of Humanistic Mathematics 6, no. 2 (July 2016): 226. http://dx.doi.org/10.5642/jhummath.201602.17.

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31

J. Timson, David. "Quantitative Enzymology." Current Enzyme Inhibition 11, no. 1 (July 7, 2015): 12–31. http://dx.doi.org/10.2174/157340801101150707124226.

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32

Mackay, Trudy F. C., Michael Lynch, and Bruce Walsh. "Quantitative Genetics." Evolution 53, no. 1 (February 1999): 307. http://dx.doi.org/10.2307/2640946.

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33

Waggoner, Alan D. "Quantitative Echocardiography." Journal of Diagnostic Medical Sonography 21, no. 6 (November 2005): 464–70. http://dx.doi.org/10.1177/8756479305282265.

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34

Freeman, Jonathan. "Quantitative Epidemiology." Infection Control and Hospital Epidemiology 17, no. 4 (April 1996): 249–55. http://dx.doi.org/10.2307/30141028.

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35

Bruschke, A. V. G., and B. Buis. "Quantitative angiography." Current Opinion in Cardiology 3, no. 6 (November 1988): 881–86. http://dx.doi.org/10.1097/00001573-198811000-00004.

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36

Blau, Steven K. "Quantitative causality." Physics Today 68, no. 1 (January 2015): 16. http://dx.doi.org/10.1063/pt.3.2643.

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37

Gunter, Chris. "Quantitative genetics." Nature 456, no. 7223 (December 2008): 719. http://dx.doi.org/10.1038/456719a.

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38

Das, Suddhasattwa, Yoshitaka Saiki, Evelyn Sander, and James A. Yorke. "Quantitative quasiperiodicity." Nonlinearity 30, no. 11 (October 19, 2017): 4111–40. http://dx.doi.org/10.1088/1361-6544/aa84c2.

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39

Guthoff, R., and O. Stachs. "Quantitative Diagnostik." Klinische Monatsblätter für Augenheilkunde 230, no. 12 (December 10, 2013): 1198. http://dx.doi.org/10.1055/s-0033-1360134.

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40

Leong, Anthony S.-Y. "Quantitative Immunohistology:." Applied Immunohistochemistry & Molecular Morphology 17, no. 6 (December 2009): 465–69. http://dx.doi.org/10.1097/pai.0b013e3181a60898.

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41

Boczko, M. L. "Quantitative EEG." Neurology 45, no. 9 (September 1, 1995): 1785. http://dx.doi.org/10.1212/wnl.45.9.1785.

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42

Fye, Mark A., Edward P. Southern, Manohar M. Panjabi, and Jacek Cholewicki. "Quantitative Discomanometry." Journal of Spinal Disorders 11, no. 4 (August 1998): 335???340. http://dx.doi.org/10.1097/00002517-199808000-00012.

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Eddon, M. "Quantitative Properties." Philosophy Compass 8, no. 7 (July 2013): 633–45. http://dx.doi.org/10.1111/phc3.12049.

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44

WILLEMS, JOS L. "Quantitative Electrocardiography." Annals of the New York Academy of Sciences 601, no. 1 Electrocardio (September 1990): 329–42. http://dx.doi.org/10.1111/j.1749-6632.1990.tb37311.x.

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Ezzell, Carol. "Quantitative aids." Nature 338, no. 6214 (March 1989): 442–44. http://dx.doi.org/10.1038/338442a0.

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Wiesner, Rudolf J., Bea Beinbrech, and J. Caspar Rüegg. "Quantitative PCR." Nature 366, no. 6454 (December 1993): 416. http://dx.doi.org/10.1038/366416b0.

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Wrigley, Neil. "Quantitative methods." Progress in Human Geography 11, no. 4 (September 1987): 565–79. http://dx.doi.org/10.1177/030913258701100407.

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Freeman, Jonathan. "Quantitative Epidemiology." Infection Control and Hospital Epidemiology 17, no. 4 (April 1996): 249–55. http://dx.doi.org/10.1086/647288.

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Shard, Alexander G. "Quantitative HAXPES." Journal of Surface Analysis 26, no. 2 (2019): 156–57. http://dx.doi.org/10.1384/jsa.26.156.

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Nolan, Daniel. "Quantitative Parsimony." British Journal for the Philosophy of Science 48, no. 3 (September 1, 1997): 329–43. http://dx.doi.org/10.1093/bjps/48.3.329.

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