Academic literature on the topic 'Education – research – statistical methods'
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Journal articles on the topic "Education – research – statistical methods"
Ferrão, Maria Eugénia. "Statistical Methods in Recent Higher Education Research." Journal of College Student Development 61, no. 3 (2020): 366–71. http://dx.doi.org/10.1353/csd.2020.0033.
Full textTavakol, Mohsen, and Rand R. Wilcox. "Medical education research: the application of robust statistical methods." International Journal of Medical Education 4 (May 8, 2013): 93–95. http://dx.doi.org/10.5116/ijme.5181.5fe8.
Full textJeong, Yeontaek, and Yeonjae Choi. ""Statistical Research Methods in Physical Education: Focusing on Regression Analysis"." Journal of Humanities and Social sciences 21 13, no. 3 (June 30, 2022): 1495–510. http://dx.doi.org/10.22143/hss21.13.3.105.
Full textHrebnieva, Iryna, Iryna Pakhnenko, Alla Melnyk, Yanina Lysenko, and Svitlana Tielietova. "THE USE OF STATISTICAL METHODS IN PEDAGOGICAL RESEARCH IN HIGHER EDUCATION." Conhecimento & Diversidade 15, no. 37 (April 19, 2023): 16–34. http://dx.doi.org/10.18316/rcd.v15i37.10920.
Full textKhusainova, Rezeda M., Zoia V. Shilova, and Oxana V. Curteva. "Selection of Appropriate Statistical Methods for Research Results Processing." International Electronic Journal of Mathematics Education 11, no. 1 (April 10, 2016): 303–15. http://dx.doi.org/10.29333/iejme/334.
Full textLeary, Sam, and Andy Ness. "Teaching research methods to undergraduate dental students." Journal of University Teaching and Learning Practice 18, no. 2 (April 1, 2021): 94–109. http://dx.doi.org/10.53761/1.18.1.7.
Full textHaig, Brian D. "Statistical Methods in Education and Psychology: A Critical Perspective." Australian Journal of Education 40, no. 2 (August 1996): 190–209. http://dx.doi.org/10.1177/000494419604000206.
Full textKALINOWSKI, PAV, JERRY LAI, FIONA FIDLER, and GEOFF CUMMING. "QUALITATIVE RESEARCH: AN ESSENTIAL PART OF STATISTICAL COGNITION RESEARCH." STATISTICS EDUCATION RESEARCH JOURNAL 9, no. 2 (November 29, 2010): 22–34. http://dx.doi.org/10.52041/serj.v9i2.373.
Full textBhatta, Tirth. "Book Review: Making Sense of Statistical Methods in Social Research." Teaching Sociology 39, no. 2 (April 2011): 212–14. http://dx.doi.org/10.1177/0092055x11403291.
Full textMalviya, Manoj, Natascha T. Buswell, and Catherine G. P. Berdanier. "Visual and Statistical Methods to Calculate Intercoder Reliability for Time-Resolved Observational Research." International Journal of Qualitative Methods 20 (January 1, 2021): 160940692110024. http://dx.doi.org/10.1177/16094069211002418.
Full textDissertations / Theses on the topic "Education – research – statistical methods"
Corrado, Charles J. "Nonparametric statistical methods in financial market research." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184608.
Full textRichaud, de Minzi María Cristina. "New statistical methods for research in personality assessment." Pontificia Universidad Católica del Perú, 2013. http://repositorio.pucp.edu.pe/index/handle/123456789/99784.
Full textEn este trabajo se realiza una revisión de las nuevas técnicas estadísticas y de su utilidad para la investigación en personalidad. Los nuevos modelos y los avances en la medición de la personalidad y la psicopatología sugieren que la investigación en este campo y en su evaluación han entrado en un estadio avanzado de desarrollo. En las dos últimas décadas se han producido importantes desarrollos en estadística y medición. El refinamiento de las técnicas de análisis multivariado ha sido fundamental en la evaluación de la personalidad debido a la complejidad de las relaciones entre sus variables. Los procedimientos de análisis multivariado proveen la oportunidad de examinar la complejidad de esas interacciones a través de métodos de análisis para variables múltiples. Por otra parte, se han desarrollado los modelos de ecuaciones estructurales y técnicas multivariadas para analizar variables categóricas. Los últimos desarrollos corresponden al escalamiento multidimensional y a la teoría de la respuesta al ítem.
Grigas, Paul (Paul Edward). "Methods for convex optimization and statistical learning." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106683.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 219-225).
We present several contributions at the interface of first-order methods for convex optimization and problems in statistical machine learning. In the first part of this thesis, we present new results for the Frank-Wolfe method, with a particular focus on: (i) novel computational guarantees that apply for any step-size sequence, (ii) a novel adjustment to the basic algorithm to better account for warm-start information, and (iii) extensions of the computational guarantees that hold in the presence of approximate subproblem and/or gradient computations. In the second part of the thesis, we present a unifying framework for interpreting "greedy" first-order methods -- namely Frank-Wolfe and greedy coordinate descent -- as instantiations of the dual averaging method of Nesterov, and we discuss the implications thereof. In the third part of the thesis, we present an extension of the Frank-Wolfe method that is designed to induce near-optimal low-rank solutions for nuclear norm regularized matrix completion and, for more general problems, induces near-optimal "well-structured" solutions. We establish computational guarantees that trade off efficiency in computing near-optimal solutions with upper bounds on the rank of iterates. We then present extensive computational results that show significant computational advantages over existing related approaches, in terms of delivering low rank and low run-time to compute a target optimality gap. In the fourth part of the thesis, we analyze boosting algorithms in linear regression from the perspective modern first-order methods in convex optimization. We show that classic boosting algorithms in linear regression can be viewed as subgradient descent to minimize the maximum absolute correlation between features and residuals. We also propose a slightly modified boosting algorithm that yields an algorithm for the Lasso, and that computes the Lasso path. Our perspective leads to first-ever comprehensive computational guarantees for all of these boosting algorithms, which provide a precise theoretical description of the amount of data-fidelity and regularization imparted by running a boosting algorithm, for any dataset. In the fifth and final part of the thesis, we present several related results in the contexts of boosting algorithms for logistic regression and the AdaBoost algorithm.
by Paul Grigas.
Ph. D.
Hille, Kathryn Streeter. "Student Placement: A Multifaceted Methodological Toolkit." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1573216693530411.
Full textSnell, Kym Iris Erika. "Development and application of statistical methods for prognosis research." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/6259/.
Full textHo, Lai Ping. "Application of statistical methods to problems in epidemiological research." HKBU Institutional Repository, 2003. http://repository.hkbu.edu.hk/etd_ra/454.
Full textKunz, Lauren Margaret. "Statistical Methods for Comparative Effectiveness Research of Medical Devices." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082.
Full textVähänikkilä, H. (Hannu). "Statistical methods in dental research, with special reference to time-to-event methods." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207933.
Full textTiivistelmä Tilastolliset tutkimusmenetelmät ovat olennainen osa hammaslääketieteellistä tutkimusta. Menetelmien käyttöä on tärkeä tutkia, jotta hammaslääketieteen tutkimuksen laatua voitaisiin parantaa. Tämän poikkitieteellisen tutkimuksen ensimmäisessä osassa tavoite on tutkia erilaisten tilastomenetelmien ja tutkimusasetelmien käyttöä, raportoinnin laatua ja tapahtumaan kuluvan ajan analysointimenetelmien käyttöä hammaslääketieteellisissä artikkeleissa. Toisessa osassa osoitetaan analysointimenetelmien vahvuus isojen tutkimusjoukkojen analysoinnissa. Ensimmäisen osan tutkimusaineiston muodostavat viiden hammaslääketieteellisen aikakauslehden artikkelit. Toisen osan tutkimusaineiston muodostivat 28 terveyskeskuksessa eri puolella Suomea hammashoitoa saaneet potilaat. Lehdet erosivat toisistaan tilastomenetelmien käytön ja tulosten esittämisen osalta. Tilastollisen raportoinnin laatu oli lehdissä puutteellinen. Tapahtumaan kuluvan ajan analysointimenetelmien käyttö on lisääntynyt vuosien 1996–2007 aikana. Tapahtumaan kuluvan ajan analysointimenetelmät mittaavat seuranta-ajan tietystä aloituspisteestä määriteltyyn päätepisteeseen. Tämän väitöksen tutkimukset osoittivat, että tapahtumaan kuluvan ajan analysointimenetelmät sopivat hyvin isojen tutkimusjoukkojen analysointiin. Menetelmien hyötyä ei ole kuitenkaan vielä saatu täysin esille hammaslääketieteellisissä julkaisuissa. Tämä tutkimus antoi uutta tietoa tilastollisten tutkimusmenetelmien käytöstä hammaslääketieteellisessä tutkimuksessa. Artikkelien kirjoittajat voivat hyödyntää tämän tutkimuksen tuloksia suunnitellessaan hammaslääketieteellistä tutkimusta
Elia, Eleni. "Statistical methods in prognostic factor research : application, development and evaluation." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7259/.
Full textRoloff, Verena Sandra. "Statistical methods for using meta-analysis to plan future research." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610859.
Full textBooks on the topic "Education – research – statistical methods"
Leppink, Jimmie. Statistical Methods for Experimental Research in Education and Psychology. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21241-4.
Full textNational Board for science and Technology. Irish research and development statistical tables. Dublin: NBST, 1986.
Find full textG, Burgess Robert, ed. Strategies of educational research: Qualitative methods. London: Falmer Press, 1985.
Find full textAyiro, Laban P. A functional approach to educational research methods and statistics: Qualitative, quantitative, and mixed methods approaches. Lewiston, N.Y: E.Mellen Press, 2012.
Find full textA, O'Connell Ann, and McCoach D. Betsy, eds. Multilevel modeling of educational data. Charlotte, NC: IAP, 2008.
Find full textTritschler, Kathleen Ann. Use of statistics in recently-published physical education research. Eugene: Microform Publications, College of Human Development and Performance, University of Oregon, 1987.
Find full textAbouserie, Reda. Statistical methods for educational and psychological research: Basic concepts. [Cardiff?]: School of Education, University of Wales College of Cardiff, 1992.
Find full textAbraham, Ivo Luc. Statistics and quantitative methods in nursing: Issues and strategies for research and education. Philadelphia: Saunders, 1989.
Find full textYi, Chong-sŏng. Kyoyuk yŏnʾgu ŭi sŏlgye wa charyo punsŏk. 8th ed. Sŏul Tʻŭkpyŏlsi: Kyohak Yŏnʾgusa, 1996.
Find full textLinn, Robert L. Quantitative methods. New York: Macmillan, 1990.
Find full textBook chapters on the topic "Education – research – statistical methods"
Cohen, Louis, Lawrence Manion, and Keith Morrison. "Statistical significance, effect size and statistical power." In Research Methods in Education, 739–52. Eighth edition. | New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315456539-39.
Full textCohen, Louis, Lawrence Manion, and Keith Morrison. "Choosing a statistical test." In Research Methods in Education, 839–46. Eighth edition. | New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315456539-44.
Full textBecker, William E., and William B. Walstad. "Statistical Methods in Economic Education Research." In International Series in Economic Modeling, 1–17. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3271-5_1.
Full textCameron, E. Leslie, and Douglas A. Bernstein. "Research Methods and Statistics." In Springer Texts in Education, 1–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85650-2_1.
Full textCohen, Louis, Lawrence Manion, and Keith Morrison. "Descriptive statistics." In Research Methods in Education, 753–75. Eighth edition. | New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315456539-40.
Full textCohen, Louis, Lawrence Manion, and Keith Morrison. "Inferential statistics." In Research Methods in Education, 776–801. Eighth edition. | New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315456539-41.
Full textCohen, Louis, Lawrence Manion, and Keith Morrison. "Inferential statistics." In Research Methods in Education, 802–17. Eighth edition. | New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315456539-42.
Full textRobinson, Pamela, and James L. Cooper. "The Interactive Lecture in a Research Methods and Statistics Class." In Cooperative Learning in Higher Education, 105–18. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003443681-7.
Full textCook, Dianne. "Incorporating Exploratory Methods using Dynamic Graphics into Multivariate Statistics Classes: Curriculum Development." In Quality Research in Literacy and Science Education, 337–55. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8427-0_17.
Full textShelley, Mack C., Larry D. Yore, and Brian Hand. "Education Research Meets the “Gold Standard”: Evaluation, Research Methods, and Statistics after No Child Left Behind." In Quality Research in Literacy and Science Education, 3–15. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8427-0_1.
Full textConference papers on the topic "Education – research – statistical methods"
Ferrao, Maria Eugénia. "Integrating statistics: doing research in undergraduate studies." In Statistics education for Progress: Youth and Official Statistics. IASE international Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13203.
Full textIsmail, Mohamed, and Magued Osman. "What do statisticians working in policy research need from statistical education?" In Next Steps in Statistics Education. International Association for Statistical Education, 2009. http://dx.doi.org/10.52041/srap.09904.
Full textL. Orsini, Joseph. "Teaching Database Research Methods in Marketing Research Classes: A View from the Trenches." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2551.
Full textStern, D., R. Coe, R. Stern, and B. McDermott. "MSC training in research methods support." In Technology in Statistics Education: Virtualities and Realities. International Association for Statistical Education, 2012. http://dx.doi.org/10.52041/srap.12113.
Full textWang, Yi-qin, Guo-ping Liu, Chun-ming Xia, Zhao-xia Xu, Jing-jing Fu, Xue-hua Wang, Feng Deng, et al. "Research of TCM syndromes diagnostic models for chronic gastritis based on multielement mathematical statistical methods." In Education (ITIME). IEEE, 2009. http://dx.doi.org/10.1109/itime.2009.5236466.
Full textWang, Yichao, Hua Chai, and Jayashri Ravishankar. "Statistical Analysis Methods in Engineering Education Research: A state-of-the-art Review." In 2022 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2022. http://dx.doi.org/10.1109/educon52537.2022.9766391.
Full textChan, Jasmine. "Analysis of variance and its applications in Macau educational resarches." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13302.
Full textGelashvili, Simon, and Mariam Danelia. "Statistical trends of vocational education and graduate employment in modern Georgia." In V National Scientific Conference. Grigol Robakidze University, 2023. http://dx.doi.org/10.55896/978-9941-8-5764-5/2023-255-267.
Full textSantos, Jacqueline, Silvia Pena, Vera Vilhena, and José Nunes. "GEDIM-STATISTIC: Spreading Statistical Education in the Brazilian Amazon." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t7d3.
Full textArteaga, Francico, and Marcelino Pérez-Bermejo. "RAW DATA, STATISTICAL METHODS, INTERMEDIATE CALCULATIONS, RESULTS AND CONCLUSIONS COEXISTING AND INTERACTING IN AN ECOSYSTEM DESIGNED TO APPLY AND UNDERSTAND STATISTICS IN EXCEL." In 13th annual International Conference of Education, Research and Innovation. IATED, 2020. http://dx.doi.org/10.21125/iceri.2020.1421.
Full textReports on the topic "Education – research – statistical methods"
Shalatska, Hanna, Olena Zotova-Sadylo, Olexandr Makarenko, and Larysa Dzevytska. Implementation of E-assessment in Higher Education. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4466.
Full textPALIY, T., and A. BAGIYAN. CHARACTERISTIC OF A TEACHER-PHILOLOGIST’S PROFESSIONAL PERSONALITY THROUGH THE PRISM OF AXIOLOGY. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-48-58.
Full textTkachuk, Viktoriia V., Yuliia V. Yechkalo, and Oksana M. Markova. Доповнена реальність у навчанні студентів із особливими освітніми потребами. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2457.
Full textMinistry of Education (Zimbabwe), Ministry of Education (Zimbabwe), UNESCO Regional Office for Souther Africa UNESCO Regional Office for Souther Africa, and Open Development and Education Open Development and Education. Research Methods for Education. OpenDevEd, December 2021. http://dx.doi.org/10.53832/opendeved.0265.
Full textMeghir, Costas, and Steven Rivkin. Econometric Methods for Research in Education. Cambridge, MA: National Bureau of Economic Research, May 2010. http://dx.doi.org/10.3386/w16003.
Full textLytvynova, Svitlana H. Хмаро орієнтоване навчальне середовище загальноосвітнього навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2451.
Full textHogan, Michael, and Michael Gallaher. Quantitative Indicators for Country-Level Innovation Ecosystems. RTI Press, May 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0051.1805.
Full textUtley, Dawn R. A Research and Analysis of Technology Trends, Engineering Management, and Statistical Methods. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada399686.
Full textMcCulloch, Charles, and John Neuhaus. Statistical Methods for Reducing Bias in Comparative Effectiveness Research When Using Patient Data from Doctor Visits. Patient-Centered Outcomes Research Institute® (PCORI), June 2019. http://dx.doi.org/10.25302/6.2019.me.130601466.
Full textWickenden, Mary. Practical Guides for Participatory methods: Disability Inclusive Research. Institute of Development Studies, August 2023. http://dx.doi.org/10.19088/ids.2023.045.
Full text