Relevant bibliographies by topics / Research and statistics

Contents

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

Academic literature on the topic 'Research and statistics'

Author: Grafiati
Published: 28 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Research and statistics"

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&NA;, &NA;. "RESEARCH/STATISTICS." Journal of Developmental & Behavioral Pediatrics 18, no. 5 (1997): 358–59. http://dx.doi.org/10.1097/00004703-199710000-00027.

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Smith, T. K., and S. B. Johnson. "Research and Statistics: Distribution, Variability, and Statistical Significance." Pediatrics in Review 31, no. 10 (2010): 431–32. http://dx.doi.org/10.1542/pir.31-10-431.

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Soyemi, K. "Research and Statistics: Choosing the Right Statistical Test." Pediatrics in Review 33, no. 5 (2012): e38-e44. http://dx.doi.org/10.1542/pir.33-5-e38.

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Inglis, James, Shirley Dowdy, and Stanley Wearden. "Statistics for Research." Technometrics 34, no. 3 (1992): 367. http://dx.doi.org/10.2307/1270062.

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Crewe, Stephanie, and Peter C. Rowe. "Research and Statistics." Pediatrics In Review 32, no. 7 (2011): 296–98. http://dx.doi.org/10.1542/pir.32.7.296.

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Connor, Katherine A. "Research and Statistics." Pediatrics In Review 33, no. 10 (2012): 473–74. http://dx.doi.org/10.1542/pir.33.10.473.

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Ghazarian, Sharon R. "Research and Statistics." Pediatrics In Review 32, no. 2 (2011): 73–74. http://dx.doi.org/10.1542/pir.32.2.73.

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Briccetti, Christine, and Peter Rowe. "Research and Statistics." Pediatrics In Review 32, no. 8 (2011): 350–52. http://dx.doi.org/10.1542/pir.32.8.350.

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Jennings, Jacky M., and Erica Sibinga. "Research and Statistics." Pediatrics In Review 31, no. 5 (2010): 209–10. http://dx.doi.org/10.1542/pir.31.5.209.

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Jennings, Jacky M., and Erica Sibinga. "Research and Statistics." Pediatrics In Review 31, no. 4 (2010): 161–62. http://dx.doi.org/10.1542/pir.31.4.161.

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Dissertations / Theses on the topic "Research and statistics"

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Slob, Wout. "Strategies in applying statistics in ecological research /." Amsterdam : Free University Press, 1986. http://bibpurl.oclc.org/web/28544.

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Corrado, Charles J. "Nonparametric statistical methods in financial market research." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184608.

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This dissertation presents an exploration of the use of nonparametric statistical methods based on ranks for use in financial market research. Applications to event study methodology and the estimation of security systematic risk are analyzed using a simulation methodology with actual daily security return data. The results indicate that procedures based on ranks are more efficient than normal theory procedures currently in common use.
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Buchan, Iain Edward. "The development of a statistical computer software resource for medical research." Thesis, University of Liverpool, 2000. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:71360.

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Medical research is often weakened by poor statistical practice, and inappropriate use of statistical computer software is part of this problem. The statistical knowledge that medical researchers require has traditionally been gained in both dedicated and ad hoc learning time, often separate from the research processes in which the statistical methods are applied. Computer software, however, can be written to flexibly support statistical practice. The work of this thesis was to explore the possibility of, and if possible, to create, a resource supporting medical researchers in statistical know
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Chiu, Jing-Er. "Applications of bayesian methods to arthritis research /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036813.

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Schneider, William Ray. "The Relationship Between Statistics Self-Efficacy, Statistics Anxiety, and Performance in an Introductory Graduate Statistics Course." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3335.

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The purpose of this study was to determine the relationship between statistics self-efficacy, statistics anxiety, and performance in introductory graduate statistics courses. The study design compared two statistics self-efficacy measures developed by Finney and Schraw (2003), a statistics anxiety measure developed by Cruise and Wilkins (1980), and a course performance measure. To view self-efficacy from two perspectives, the Current Statistics Self-Efficacy (CSSE) assessed student confidence in their ability to complete specific statistics tasks in the present, whereas Self-Efficacy to Lear
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Doyle, Philip Gerard. "Developing statistical literacy with students and teachers in the secondary mathematics classroom." The University of Waikato, 2008. http://hdl.handle.net/10289/2324.

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This thesis investigates the teaching of statistical literacy in the first two years of secondary school mathematics. The teachers involved in the research aim to make changes to classroom practice in the teaching and learning of statistics and statistical literacy in response to changes in the New Zealand curriculum. An action research methodology is adopted by the research. A group of three teachers and the author undertake an action research cycle of planning, observing, acting and reflecting in three different Year 9 and 10 mathematics classrooms. The research documents the designing a
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Zhou, Xinfeng. "Application of robust statistics to asset allocation models." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36231.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2006.<br>Includes bibliographical references (p. 105-107).<br>Many strategies for asset allocation involve the computation of expected returns and the covariance or correlation matrix of financial instruments returns. How much of each instrument to own is determined by an attempt to minimize risk (the variance of linear combinations of investments in these financial assets) subject to various constraints such as a given level of return, concentration limits, etc. The expected returns a
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French, Alan Paul. "Specification transformation techniques with applications to operations research." Thesis, University of East Anglia, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293238.

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Ndou, Aifheli Amos. "Assessing the statistical methodologies of business research in the South African context." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1484.

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The aim of the study is to establish an acceptable classification scheme for the statistical methods used in business research. The approach compares the statistical component of the research and evaluates how it has changed over time and across different journals. If, as expected, the statistical expertise has changed, the change would be identified with the view to recommending curriculum changes for Statistics Departments of South African tertiary institutions.
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Kallus, Nathan. "From data to decisions through new interfaces between optimization and statistics." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98570.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 283-293).<br>The growing availability of data is creating opportunities for making better decisions, but in many circumstances it is yet unknown how to correctly leverage this data in systematic and optimal ways. In this thesis,
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Books on the topic "Research and statistics"

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Dowdy, Shirley, Stanley Weardon, and Daniel Chilko. Statistics for Research. John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471477435.

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1926-, Wearden Stanley, and Chilko Daniel M, eds. Statistics for research. 3rd ed. Wiley-Interscience, 2004.

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Dowdy, S. M. Statistics for research. 2nd ed. Wiley, 1991.

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Dowdy, Shirley. Statistics for research. 2nd ed. John Wiley, 1991.

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Healey, Joseph F. Statistics: A tool for social research. 4th ed. Wadsworth Pub., 1996.

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Argyrous, George. Statistics for Social Research. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14777-9.

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Gehan, Edmund A., and Noreen A. Lemak. Statistics in Medical Research. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2518-9.

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Malim, Tony, and Ann Birch. Research Methods and Statistics. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-13865-4.

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Walker, Ian. Research Methods and Statistics. Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-01373-6.

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A, McCarthy Maureen, ed. Research methods and statistics. Pearson, 2012.

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Book chapters on the topic "Research and statistics"

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Giorgio, Massimiliano. "Statistics for Experimental and Technological Research." In A Decade of Research Activities at the Department of Industrial Engineering (UniNa-DII). Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53397-6_8.

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AbstractThis chapter provides a synthetic overview of research activities and main outcomes of members of the scientific-disciplinary sector “SECS-S/02—Statistica per la Ricerca Sperimentale e Tecnologica” at the University of Naples Federico II, in the decade 2013–2023. Research activities of the group focus on modern statistical problems arising in the field of experimental sciences (statistics and probability calculus, design, and analysis of experiments), notably in engineering (reliability, statistical quality control). The main fields of application concern technology, safety, environmen
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Kraler, Albert, and David Reichel. "Migration Statistics." In IMISCOE Research Series. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92377-8_27.

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AbstractIn this chapter we provide a critical appraisal of data collection and statistical data production on migrants and migration, indicators used to identify migrants, and the different uses of migration statistics for political and scientific purposes. We will start off by a brief review of the politics of statistical data and then provide a short review of the history of data collection on migration and international efforts to harmonise migration statistics on the international level. We will then present different ways to measure migration, core concepts, and definitions used to measur
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Mvududu, Nyaradzo, and Jordan Shannon. "Descriptive Statistics." In Reimagining Research. Routledge, 2023. http://dx.doi.org/10.4324/9781003196273-6.

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Harpale, Varsha K., and Vinayak K. Bairagi. "Applied Statistics." In Research Methodology. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781351013277-5.

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Thomas, Gary. "Official statistics." In Doing Research. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-35791-4_21.

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Chapman, Chris, and Kerry Rodden. "Statistics." In Quantitative User Experience Research. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9268-6_5.

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Yodo, Nita, and Melvin Rafi. "Statistics." In Mathematics in Cyber Research. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429354649-9.

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de Winter, Joost C. F., and Dimitra Dodou. "Statistics." In Human Subject Research for Engineers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56964-2_3.

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Clark-Carter, David. "Bayesian statistics." In Quantitative Psychological Research, 5th ed. Routledge, 2023. http://dx.doi.org/10.4324/9781003208419-31.

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Newhart, Michelle, and Mildred L. Patten. "Descriptive Statistics." In Understanding Research Methods, 11th ed. Routledge, 2023. http://dx.doi.org/10.4324/9781003092049-66.

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Conference papers on the topic "Research and statistics"

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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.

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The paper describes the project Mathematics and Statistics for the Development of Professional Skills. Motivation and integration are keywords of teaching statistics to students who are not primarily interested in statistics. The motivation is based on illustrative problems, questions or examples of the field and real life that can be solved, answered or better understood with the study of the respective statistical content(s). Recently published scientific papers are used as didactic material. In general, the integration occurs throughout the following steps: explaining abstract statistical c
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Ismail, 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.

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The purpose of this paper is to explore to what extent knowledge and skills provided to students majoring in statistics satisfy the expectations of the work environment in policy research centers. A list of items reflecting statistics knowledge and statistical skills as well as soft skills required for researchers working in policy research centers was developed. Then, the list was integrated in a pre-coded questionnaire addressed to junior statisticians working in policy research centers and their managers to measure statisticians' exposure to different items. The results showed a need for im
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Niglas, Katrin, and Kairi Osula. "University-level data analysis courses with the emphasis on understanding and communication of statistics –a ten years action research project." In Statistics Education and the Communication of Statistics. International Association for Statistical Education, 2005. http://dx.doi.org/10.52041/srap.05403.

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In 1994, an action research project was initiated in Tallinn Pedagogical University (Estonia) with the aim to work out and implement a new course in statistics for students of social sciences and education. It was considered important to develop the students’ ability to understand the practical, real life meaning of statistical concepts as well as the ability to communicate statistics in two different (Estonian) languages: in so called “statistical language” and “everyday language understandable also to a layman.” During the year 2004 about 300 students who had completed data analysis course w
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Chan, 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.

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In 2012, Macau government approved and passed the “System Framework for Private School Teaching Staff of Non-tertiary Education” in the legislative council. It is aimed at improving non-tertiary teachers’ professionalism in terms of setting hierarchies and provides training continuously. Teachers having a high level of research capacity can improve and solve education issues in Macau. Education Statistics are one of the important methods in research capacity. To develop this idea, therefore, my topic is “Analysis of variance and Its Applications in Macao Educational Researches”.In this paper a
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Ospina, David, and Jorge Ortiz. "Statistical research and consulting in universities from developing countries: The Colombian case." In Training Researchers in the Use if Statistics. International Association for Statistical Education, 2000. http://dx.doi.org/10.52041/srap.00403.

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This paper focuses on describing the experience of statistical researchers and consultants of the Department of Mathematics and Statistics, faculty and students, and of researchers who are not statisticians, at the Universidad Nacional de Colombia. An analysis is made of the statistics programs of study including consulting activities, and of three surveys that were designed, distributed and analysed: one for the newly graduated and senior year students concerning their training in research and consulting during their studies; a second one for statistics staff at the department and a third for
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Baglin, James, John Reece, Michael Bulmer, and Mirella Di Benedetto. "Simulating the data investigative cycle in less than two hours: using a virtual human population, cloud collaboration and a statistical package to engage students in a quantitative research methods course." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13503.

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Providing practical and relevant experience with the data investigative process is known to help engage students in quantitative research methods courses; however, limited student experience, time constraints, and ethical concerns present serious challenges to this goal. Recent advances in technology may provide innovative solutions. This paper reports on the development and implementation of a series of two-hour weekly computer laboratories that simulated the data investigative cycle in a research methods course for psychology students. The technologies included an online virtual human world,
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Brown, Jennifer. "There’s More to NDT Reliability than POD – and Statistics Plays a Role." In ASNT Research Symposium 2023. The American Society for Nondestructive Testing Inc., 2023. http://dx.doi.org/10.32548/rs.2023.087.

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Quantifying Nondestructive Testing (NDT) detection capability using Probability of Detection (POD) methods has become a more routine and often required part of NDT, resulting in a strong partnership between NDT and statistics. However, there is more to NDT reliability than POD. Components of NDT reliability can be identified at each step of an NDT process, from the selection of the NDT method to sizing identified, relevant indications. By integrating statistical methods throughout the entire NDT process, a more comprehensive quantitative assessment of NDT reliability can be achieved. In additi
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Sheng, Jian, and Zhi Zhang. "Summary of Pedestrian Traffic Statistics Research." In 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2020. http://dx.doi.org/10.1109/iciea48937.2020.9248370.

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Sanders, Kate, Judy Sheard, Brett A. Becker, Anna Eckerdal, Sally Hamouda, and Simon. "Inferential Statistics in Computing Education Research." In ICER '19: International Computing Education Research Conference. ACM, 2019. http://dx.doi.org/10.1145/3291279.3339408.

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Huang, Lingfang, Li Zhu, Xiaodie Zhou, and Junying Liu. "Research on Website Traffic Statistics System." In 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2020. http://dx.doi.org/10.1109/icmtma50254.2020.00207.

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Reports on the topic "Research and statistics"

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Berry, Jacquie, and Michael Maks Davis. Transport investment and research statistics. Evidence on Demand, 2013. http://dx.doi.org/10.12774/eod_hd025.jan2013.berry_et_al.

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Mian, Anam, and Holly Gross. ARL Statistics 2022. Association of Research Libraries, 2023. http://dx.doi.org/10.29242/stats.2022.

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Panchenko, Liubov, and Andrii Khomiak. Education Statistics: Looking for Case-Study for Modeling. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4461.

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The article deals with the problem of using modeling in social statistics courses. It allows the student-researcher to build one-dimensional and multidimensional models of the phenomena and processes that are being studied. Social Statistics course programs from foreign universities (University of Arkansas; Athabasca University; HSE University, Russia; McMaster University, Canada) are analyzed. The article provides an example using the education data set – Guardian UK universities ranking in Social Statistics course. Examples of research questions are given, data analysis for these questions i
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Albert, Jose Ramon, and Jana Flor Vizmanos. Philippine Statistical System in the Wake of the Emerging Data Revolution and Digitization. Philippine Institute for Development Studies, 2019. https://doi.org/10.62986/dp2019.17.

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The Philippine Statistical System (PSS), the government-wide system of providing statistical information and services, consists of the Philippine Statistics Authority (PSA) and other data producers in the public sector across all administrative levels; the Philippine Statistical Research and Training Institute (PSRTI), the research and training arm of the PSS; and the PSA Board (a policymaking body on statistical matters). Data producers release official statistics, i.e. data aggregates, sourced from primary data collections, and compilations of secondary data. In the wake of the many disrupti
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Orban, Levente. Standardization and Standard Error of the Mean in Psychological Statistics. Orban Foundation, 2025. https://doi.org/10.69642/2905.

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This lecture explores the concepts of standardization and the standard error of the mean (SEM) in psychological statistics. Standardization enables comparability across variables measured on different scales, while SEM quantifies the uncertainty of sample means in relation to the population mean. We derive these concepts mathematically and implement them using base R to reinforce statistical reasoning in psychological research.
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Ismay, Chester. Statistics in R with Tidyverse. Instats Inc., 2024. http://dx.doi.org/10.61700/ab3qzo3dl6i1a1562.

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This comprehensive seminar introduces participants to key concepts and practices in statistical inference using R, covering topics such as exploratory data analysis, regression analysis, confidence intervals, hypothesis testing, and more based on data science principles. Attendees will gain hands-on experience, enhancing their ability to manage and analyze complex datasets and effectively communicate their research findings.
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Hu, Li-Yen R., Paul Scanlon, Kristen Miller, et al. National Center for Health Statistics’ 2019 Research and Development Survey, RANDS 3. National Center for Health Statistics (U.S.), 2023. http://dx.doi.org/10.15620/cdc:130273.

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This report provides a general description of RANDS 3 and presents percentage estimates of selected demographic and health-related variables from the overall sample and by one set of experimental groups in the survey.
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Wong Espejo, Andrei. Government Statistics and Measures of Wellbeing. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ids.2021.029.

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A systematic literature review and coping exercise of datasets and data availability on the wellbeing of migrants, globally, but with a particular focus on Finland, India, Norway and the United Kingdom. This an output to inform further investigative research on the Displacement, Placemaking and Wellbeing in the City (DWELL) project, funded by ESRC.
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Gruber, Peter. Using ChatGPT for Advanced Data Analysis 2.0. Instats Inc., 2023. http://dx.doi.org/10.61700/txvjolg6id2hj469.

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This 2-day workshop (specifically tailored for the Australian/Asian and US West coast time zones) is aimed at non-statisticians who have to perform data analysis in their work or research. It teaches how to use ChatGPT for statistical analysis without having to know a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its imp
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Irimata, Katherine, Yulei He, Van Parsons, Hee-Choon Shin, and Guangyu Zhang. Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. National Center for Health Statistics (U.S.), 2023. http://dx.doi.org/10.15620/cdc:123463.

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