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Journal articles on the topic 'Educational statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Korgenevskaya, E. I. "Statistics educational potential." Izvestiya MGTU MAMI 9, no. 2-5 (2015): 38–42. http://dx.doi.org/10.17816/2074-0530-67002.

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Education statistics should reflect the educational potential of the country on various parameters. In modern conditions the total cost of education, professional training is no longer considered as overhead. They are Xia profitable kind of investment. Education creates the potential quantitative and qualitative resources of skilled labor available to the Company in the result of the reaction of the whole educational system of training.

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2

Ho, Andrew Dean. "The New (Educational) Statistics." Journal of Educational and Behavioral Statistics 41, no. 1 (2016): 94–99. http://dx.doi.org/10.3102/1076998615621302.

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3

Sanabria, Federico, and Peter R. Killeen. "Better statistics for better decisions: Rejecting null hypotheses statistical tests in favor of replication statistics." Psychology in the Schools 44, no. 5 (2007): 471–81. http://dx.doi.org/10.1002/pits.20239.

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4

Wahab, Abdul, Akhmad Syahid, and Junaedi Junaedi. "Effectiveness of Educational Statistics Learning Modules." Daya Matematis: Jurnal Inovasi Pendidikan Matematika 11, no. 3 (2023): 209. https://doi.org/10.26858/jdm.v11i3.57567.

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This research was carried out at the Faculty of Islamic Religion, Indonesian Muslim University, Educational Study Program, with the aim of this research being to determine the effectiveness of the Educational Statistics learning module. The research method uses a quantitative research type with an experimental One Group Pretest-Postest Design approach, with a sample of 20 students from the education study program at the Faculty of Islamic Religion, Indonesian Muslim University (FAI-UMI). The results of the research show that the results of the analysis, fulfilling the assumptions of normality

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5

Aguirre, Benigno E., and Roberto J. Vichot. "The Reliability of Cuba's Educational Statistics." Comparative Education Review 42, no. 2 (1998): 118–38. http://dx.doi.org/10.1086/447492.

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6

Male, Dawn. "Special Educational Needs Statistics and Trends." Tizard Learning Disability Review 3, no. 3 (1998): 40–45. http://dx.doi.org/10.1108/13595474199800030.

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7

Games, Paul A. "Theory-Free Statistics and Theory-Based Statistics." Journal of Experimental Education 57, no. 1 (1988): 45–58. http://dx.doi.org/10.1080/00220973.1988.10806495.

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8

Maniraj, V. "Excavating Educational Statistics to Investigate Scholars Performance." International Journal of Computer Sciences and Engineering 6, no. 4 (2018): 461–67. http://dx.doi.org/10.26438/ijcse/v6i4.461467.

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9

Tejedor, F. Javier. "Statistics and different paradigms of educational research." Educar 10 (July 1, 1986): 79. http://dx.doi.org/10.5565/rev/educar.463.

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10

Hyland, W. J. "Problems in classifying resources in educational statistics." Statistical Journal of the United Nations Economic Commission for Europe 6, no. 2 (1989): 147–58. http://dx.doi.org/10.3233/sju-1989-6203.

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11

Maguire, Thomas, and Glenn Rowley. "Roles for Inferential Statistics in Educational Research." Educational Philosophy and Theory 24, no. 2 (1992): 56–77. http://dx.doi.org/10.1111/j.1469-5812.1992.tb00225.x.

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12

Lesser, Lawrence M., Dennis K. Pearl, John J. Weber, Dominic M. Dousa, Robert P. Carey, and Stephen A. Haddad. "Developing Interactive Educational Songs for Introductory Statistics." Journal of Statistics Education 27, no. 3 (2019): 238–52. http://dx.doi.org/10.1080/10691898.2019.1677533.

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13

Labaree, David F. "THE LURE OF STATISTICS FOR EDUCATIONAL RESEARCHERS." Educational Theory 61, no. 6 (2011): 621–32. http://dx.doi.org/10.1111/j.1741-5446.2011.00424.x.

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14

Mackay, Thomas. "The Trend of Scottish Special Educational Statistics." Scottish Educational Review 26, no. 1 (1994): 27–33. http://dx.doi.org/10.1163/27730840-02601006.

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15

FELIX, CRISELDA S., and CHARLIE M. FELIX. "LITERATURE REVIEW: BASIC STATISTICS IN EDUCATIONAL RESEARCH." Cognizance Journal of Multidisciplinary Studies 4, no. 3 (2024): 206–15. http://dx.doi.org/10.47760/cognizance.2024.v04i03.018.

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This paper provides a comprehensive exploration of the role and significance of basic statistics in educational research. Drawing upon historical foundations and theoretical frameworks, the study elucidates the evolution of statistical methodologies and their application in understanding complex educational phenomena. Key pioneers such as Francis Galton and Karl Pearson are highlighted for their foundational contributions, laying the groundwork for statistical analysis in education. The paper examines various statistical techniques, including descriptive and inferential statistics, correlation

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CRISELDA, S. FELIX, and M. FELIX CHARLIE. "LITERATURE REVIEW: BASIC STATISTICS IN EDUCATIONAL RESEARCH." Cognizance Journal of Multidisciplinary Studies (CJMS) 4, no. 3 (2024): 206–15. https://doi.org/10.47760/cognizance.2024.v04i03.018.

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<em>This paper provides a comprehensive exploration of the role and significance of basic statistics in educational research. Drawing upon historical foundations and theoretical frameworks, the study elucidates the evolution of statistical methodologies and their application in understanding complex educational phenomena. Key pioneers such as Francis Galton and Karl Pearson are highlighted for their foundational contributions, laying the groundwork for statistical analysis in education. The paper examines various statistical techniques, including descriptive and inferential statistics, correla

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17

Ji, Xinyan. "Analysis of the Application of Statistics in Education." Lecture Notes in Education Psychology and Public Media 11, no. 1 (2023): 32–35. http://dx.doi.org/10.54254/2753-7048/11/20230707.

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Today, most people think that there is no use of statistics in education, a subject that does not seem to be directly related to data, or does not understand the use of statistics in education. This paper will introduce the application of statistics in three different aspects of education. Educational statistics is an important tool in educational management, educational decision-making and educational reform. People can use statistical methods to improve educational management and improve the quality of education, make better educational decisions and promote educational reform.

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18

Harraway, J. A., and S. D. Forbes. "Partnership between national statistics offices and academics to increase official statistical literacy." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 29, no. 1 (2013): 31–40. https://doi.org/10.3233/sji-130761.

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Statistics New Zealand is actively involved in raising the statistical capability of key groups of users. Current priority groups are government, the media and Maori (indigenous New Zealand) and, in the recent past, schools and small businesses. Initiatives designed to support statistical literacy development include synthetic unit record files (SURFs), confidentialized unit record files (CURFs), postgraduate student work placements, funding for the CensusAtSchool project, a National Certificate of Official Statistics for public sector staff, and an honours/masters paper in official statistics

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19

Gal, Iddo, and Irena Ograjenšek. "Official Statistics and Statistics Education: Bridging the Gap." Journal of Official Statistics 33, no. 1 (2017): 79–100. http://dx.doi.org/10.1515/jos-2017-0005.

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Abstract This article aims to challenge official statistics providers and statistics educators to ponder on how to help non-specialist adult users of statistics develop those aspects of statistical literacy that pertain to official statistics. We first document the gap in the literature in terms of the conceptual basis and educational materials needed for such an undertaking. We then review skills and competencies that may help adults to make sense of statistical information in areas of importance to society. Based on this review, we identify six elements related to official statistics about w

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20

Lorah, Julie, and Angie Miller. "Educational Aspirations of Diverse Groups among Undergraduate Statistics Majors." Journal of Urban Mathematics Education 16, no. 2 (2023): 14–30. http://dx.doi.org/10.21423/jume-v16i2a548.

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Understanding the educational aspirations of diverse groups among statistics majors provides insight into the discipline of statistics. This study utilizes multi-institution data from the 2019 and 2020 administrations of the National Survey of Student Engagement (NSSE) to explore educational aspirations for statistics majors through comparisons to other major types as well as among gender identity and race/ethnicity in a sample of 225,892 seniors, including 521 majoring in statistics. Preliminary results from a series of chi-squared analyses suggest that while other STEM majors are more likely

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21

Urolagin, Siddhaling, Ishita Upadhyaya, and Afrah Abbas Thakur. "Data Visualisation and Analysis of Engineering Educational Statistics." International Journal of Data Mining And Emerging Technologies 8, no. 2 (2018): 150. http://dx.doi.org/10.5958/2249-3220.2018.00017.4.

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22

Kovtunets, Volodymyr. "FORMING THE EDUCATIONAL STATISTICS DEVELOPMENT STRATEGY IN UKRAINE." Educational Analytics of Ukraine, no. 1 (2018): 5–10. http://dx.doi.org/10.32987/2617-8532-2018-1-5-10.

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23

Hoyle, Sloane, S. Camille Peres, Kate Bruton, and Trini Gutierrez. "Usability of an Interactive Educational Website for Statistics." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56, no. 1 (2012): 1827–31. http://dx.doi.org/10.1177/1071181312561368.

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24

Urolagin, Siddhaling, Ishita Upadhyaya, and Afrah Abbas Thakur. "Data Visualization and Analysis of Engineering Educational Statistics." International Journal of Advances in Applied Sciences 7, no. 4 (2018): 309. http://dx.doi.org/10.11591/ijaas.v7.i4.pp309-316.

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Engineering, is one of the most popular fields of higher education in the modern day woreld. Majority of the students these days opt for engineering as a career, due to the vastness of choices provided by engineering. Mechanical, Electrical, Computer Science, Civil and Biotechnology are the various disciplines and have varying strength in terms of number of students who join a particular discipline. In this research, we have gather data from various published articles about engineering education and carried out the data visualization and analysis using Tableau 9.2. The objective of the analysi

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25

Jacobsson, Staffan, and Christer Oskarsson. "Educational statistics as an indicator of technological activity." Research Policy 24, no. 1 (1995): 127–36. http://dx.doi.org/10.1016/0048-7333(93)00753-g.

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26

Siddhaling, Urolagin, Upadhyaya Ishita, and Abbas Thakur Afrah. "Data Visualization and Analysis of Engineering Educational Statistics." International Journal of Advances in Applied Sciences (IJAAS) 7, no. 4 (2018): 309–16. https://doi.org/10.11591/ijaas.v7.i4.pp309-316.

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Engineering, is one of the most popular fields of higher education in the modern day world. Majority of the students these days opt for engineering as a career, due to the vastness of choices provided by engineering. Mechanical, Electrical, Computer Science, Civil and Biotechnology are the various disciplines and have varying strength in terms of number of students who join a particular discipline. In this research, we have gather data from various published articles about engineering education and carried out the data visualization and analysis using Tableau 9.2. The objective of the analysis

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27

何, 丽梅. "Statistics and Measurement of College Students’ Educational Attitudes." Advances in Psychology 15, no. 03 (2025): 287–98. https://doi.org/10.12677/ap.2025.153155.

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28

Soler-Gallart, Marta, Dragana Avramov, Nancy Zoidou Saripapa, et al. "What Are the Statistics That Improve Education?" Social Sciences 14, no. 7 (2025): 425. https://doi.org/10.3390/socsci14070425.

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There is much research on national and international statistical sources on analyses and trends of educational inequalities, which allow for a descriptive and analytical overview of a population’s educational status and trends—such as attainment levels, dropout rates, and sociodemographic variables. There is also research that has identified successful interventions across different countries that contribute to overcoming and reversing educational inequalities. However, the research on whether and how national and international statistical sources provide analyses on how to overcome and revers

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29

Neurath, Otto. "Pictorial Statistics Following the Vienna Method." ARTMargins 6, no. 1 (2017): 108–18. http://dx.doi.org/10.1162/artm_a_00169.

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This text introduces a programmatic text of Otto Neurath on the educational use of the method of pictorial statistics. Neurath emphasizes the importance of a visual method to transfer scientific knowledge to popular audiences. At the same time, his Vienna Method attempts to adapt the popular educational strategy to an increasingly visual modernity. The specific educational interest of Neurath's Vienna Method consists in political education, in transferring basic knowledge about the general structure and dominant developments of society. His program thus echoes his contemporaries’ debates on th

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30

Goldstein, Harvey. "Measuring educational standards." Significance 1, no. 3 (2004): 103–5. http://dx.doi.org/10.1111/j.1740-9713.2004.00039.x.

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31

Kumar, Mulka Krishna. "Ed-Stats: Role of Statistics in Education." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 1391–98. https://doi.org/10.22214/ijraset.2024.66022.

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Statistics plays a significance Role in Education by helping Teachers, Students, Educators, Policymakers, Researchers, Administrators and Educational institutions to make informed decisions based on data. Statistical methods are used to enhance teaching, learning and administration. In educational institutions and research, statistics is used to evaluate student performance assess different factors including educational outcomes and analyze large data sets from standardized tests. Statistics in education we use to measure and evaluate the essential part of teaching learning process and Student

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32

Rakov, Sergiy. "POTENTIAL OF USING DATA OF INTERNATIONAL STATISTICAL SYSTEMS IN NATIONAL SYSTEMS OF EDUCATIONAL ANALYTICS." Educational Analytics of Ukraine, no. 2 (2021): 20–32. http://dx.doi.org/10.32987/2617-8532-2021-2-20-32.

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The article deals with the potential of the international systems of educational statistics for the national systems of educational analytics, namely: Sustainable Development Goals (SDG), UNESCO; the Indicators of Education Systems (INES), OECD; Eurostat, EU. The study is based on empirical and theoretical research methods: analysis of practical experience with these international systems of educational statistics, the study of scientific literature, comparative analysis and synthesis. The practical significance of the work lies in describing the functionality and features of these systems, th

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33

Mardhiyana, Dewi, and Syita Fatih 'Adna. "PENERAPAN RME BERBASIS BUDAYA PEKALONGAN TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MAHASISWA PADA MATA KULIAH STATISTIK." Kadikma 14, no. 2 (2023): 89. http://dx.doi.org/10.19184/kdma.v14i2.44981.

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Multivariate Statistics and Educational Research Statistics courses are useful courses for students, so students need the ability to understand concepts in mastering statistical material. This research aims to determine the average ability of students to understand concepts in Multivariate Statistics and Educational Research Statistics courses by implementing the RME approach based on Pekalongan culture. This research is quantitative research with the form of an experimental design, namely quasi experimental design. The subjects in the research consisted of 15 students taking Multivariate Stat

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34

Birenbaum, Menucha, and Shoshana Eylath. "Who is afraid of statistics? Correlates of statistics anxiety among students of educational sciences." Educational Research 36, no. 1 (1994): 93–98. http://dx.doi.org/10.1080/0013188940360110.

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35

Rahayu, Nur Indri, M. Muktiarni, and Yusuf Hidayat. "An Application of Statistical Testing: A Guide to Basic Parametric Statistics in Educational Research Using SPSS." ASEAN Journal of Science and Engineering 4, no. 3 (2024): 569–82. https://doi.org/10.17509/ajse.v4i3.76092.

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Statistics is usually associated with a series of numbers, so it is often interpreted as a numerical description. However, statistics in the context of science is not just a series of numbers; statistics is more than just a collection of raw data. Statistics are also used to analyze data, such as graphs, displaying data in tabular form, forecasting, conducting various hypothesis tests, and other uses. The primary purpose of this study is to examine the application of various descriptive and inferential statistical tests in educational research so that it can teach how to collect data, present

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36

Astuti, Dwi. "ANALISIS KEBUTUHAN BAHAN AJAR EDUCATIONAL STATISTICS BERBASIS COOPERATIVE LEARNING." FIBONACCI: Jurnal Pendidikan Matematika dan Matematika 5, no. 2 (2019): 183. http://dx.doi.org/10.24853/fbc.5.2.183-188.

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Mata kuliah statistika pendidikan menjadi salah satu bekal mahasiswa dalam menyelesaikan tugas akhirnya. Saat ini, sudah banyak ditemukan buku tentang statistika, tetapi perlu dianalisis kesesuaian dengan kebutuhan mahasiswa. Penelitian ini bertujuan untuk mengetahui kebutuhan bahan ajar statistika khusus dalam bidang pendidikan. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan subjek sebanyak 98 mahasiswa Program Studi Pendidikan Bahasa Inggris Universitas Ahmad Dahlan. Berdasarkan hasil analisis diperoleh bahwa perlu dikembangkan bahan ajar statistika khusus dal

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37

Hyejung Ahn, SungJo Hong, and 김지현. "The Construction of Engineering Educational Statistics System in Korea." Journal of Engineering Education Research 19, no. 2 (2016): 53–59. http://dx.doi.org/10.18108/jeer.2016.19.2.53.

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38

Connolly, Paul. "Summary statistics, educational achievement gaps and the ecological fallacy." Oxford Review of Education 32, no. 2 (2006): 235–52. http://dx.doi.org/10.1080/03054980600645404.

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39

Williams, Amanda S. "Self-Regulation and Feedback in an Educational Statistics Course." Journal of Teaching and Learning with Technology 7, no. 1 (2018): 25–42. http://dx.doi.org/10.14434//jotlt.v7n1.23343.

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The purpose of the study was to evaluate the effects of feedback timing and quality on student self-regulatory behavior. Using a non-equivalent control-group design, students were assigned to either an immediate-detailed or delayed-grade-only feedback condition within the online statistics homework program, Aplia. The groups were then compared on levels of self-regulation and ratings of perceived homework effectiveness. Results indicate no significant differences between groups. Implications and the need for updated and more context specific measurements are discussed. Keywords: online homewor

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40

Williams, Amanda S. "Self-Regulation and Feedback in an Educational Statistics Course." Journal of Teaching and Learning with Technology 7, no. 1 (2018): 25–42. http://dx.doi.org/10.14434/jotlt.v7i1.23343.

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The purpose of the study was to evaluate the effects of feedback timing and quality on student self-regulatory behavior. Using a non-equivalent control-group design, students were assigned to either an immediate-detailed or delayed-grade-only feedback condition within the online statistics homework program, Aplia. The groups were then compared on levels of self-regulation and ratings of perceived homework effectiveness. Results indicate no significant differences between groups. Implications and the need for updated and more context specific measurements are discussed. Keywords: online homewor

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41

Olazábal, Raul León Báez, Doris Vivian Prieto Valdés, Alexia Esther Nardin Anarela, and Raidel Báez Prieto. "Educational strategy to favor attitudes towards statistics in engineering students." Ciência e Natura 42 (February 17, 2020): e26. http://dx.doi.org/10.5902/2179460x42103.

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The increase in the need of teaching and learning of statistics leads to new research in this area. An exploratory study is presented, during the 2018-2019 school year, to analyze the attitudes towards the statistics, that students of the civil engineering career have at the University of Camagüey, Cuba. Based on experiences validated by the experts Estrada (2002, 2007) and Auzmendi (1992), the application of an educational strategy with three stages is proposed. It is based, applied and evaluated in the characterization of the second-year students of Civil Engineering and the diagnosis of the

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42

Ha, Eun Hee. "Experimental Modeling of the Health Statistics with Computer Statistical Package: Trial on New Educational Method." Ewha Medical Journal 19, no. 2 (1996): 155. http://dx.doi.org/10.12771/emj.1996.19.2.155.

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43

GAL, IDDO. "EXPANDING CONCEPTIONS OF STATISTICAL LITERACY: AN ANALYSIS OF PRODUCTS FROM STATISTICS AGENCIES." STATISTICS EDUCATION RESEARCH JOURNAL 2, no. 1 (2003): 3–21. http://dx.doi.org/10.52041/serj.v2i1.556.

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This paper reports the results of an exploratory study of the characteristics of key information products released by statistics agencies. Such products are central to debates and decisions in the public arena, but have received little attention in the literature on statistical literacy, statistics education, or adult numeracy. Based on a qualitative analysis of Internet-based products of six national and international statistics agencies, the paper sketches the characteristics of five product types (Indicators, Press releases, Executive summaries, Reports, and Aggregate data) and of the envir

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44

Adriana Rodríguez, Rosales. "The Impact of Statistics and Probability on Educational Artificial Intelligence." Advances and Applications in Statistics and Probability 1, no. 1 (2024): 001–4. http://dx.doi.org/10.17352/aasp.000001.

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Artificial intelligence has transformed e-learning by enabling personalized and efficient teaching. This manuscript analyzes the importance of statistics and probability in educational AI. Statistical methodologies improve decision-making, personalize learning, and optimize educational outcomes. Challenges such as data privacy and ethics are addressed. Case studies demonstrate the practical applications of AI in diverse educational contexts. Future directions suggest a need for robust research to further understand and implement AI-driven educational strategies. The findings underscore the cri

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45

Forbes, Sharleen, Mike Camden, Nathaniel Pihama, Paul Bucknall, and Maxine Pfannkuch. "Official Statistics and statistical literacy: They need each other." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 27, no. 3-4 (2011): 113–28. https://doi.org/10.3233/sji-2011-0729.

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Statistical literacy involves products that use words, numbers and graphs together to communicate messages. It includes skills in making and using these products. The focus for National Statistics Offices (NSOs) is on making data products, including statistical indicators. Such products are becoming more numerous, more detailed, more diverse, and more readily available. Students, in learning to make their own data products, can use Official Statistics as models of good practice, giving them a ready-made and large resource to draw on. Statistics New Zealand, like some other NSOs, has a number o

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46

Raudenbush, Stephen W., and Daniel Schwartz. "Randomized Experiments in Education, with Implications for Multilevel Causal Inference." Annual Review of Statistics and Its Application 7, no. 1 (2020): 177–208. http://dx.doi.org/10.1146/annurev-statistics-031219-041205.

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Education research has experienced a methodological renaissance over the past two decades, with a new focus on large-scale randomized experiments. This wave of experiments has made education research an even more exciting area for statisticians, unearthing many lessons and challenges in experimental design, causal inference, and statistics more broadly. Importantly, educational research and practice almost always occur in a multilevel setting, which makes the statistics relevant to other fields with this structure, including social policy, health services research, and clinical trials in medic

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47

Swann, Will. "Integration? Look Twice at Statistics." British Journal of Special Education 15, no. 3 (2007): 102. http://dx.doi.org/10.1111/j.1467-8578.1988.tb00729.x.

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48

Counihan, Beth. "An Open Educational Resource for Teaching Revision: Flesch-Kincaid Readability Statistics." HETS Online Journal 11, no. 2 (2022): 6–17. http://dx.doi.org/10.55420/2693.9193.v11.n2.40.

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   This article presents the findings of a one-semester-long qualitative study conducted pre-pandemic at a diverse urban public community college with ENGL101: Freshman Composition students and suggests the need for further study. Students were assigned to revise New York Times article summaries they had written, using revision techniques learned in the classroom and an open educational resource (OER), Flesch- Kincaid Readability Statistics. Data collection included collecting summaries before and after revising with Readability Statistics and student reflections on the exper

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49

Pratama, Apriliyanus Rakhmadi, Anugerah Daeng Masenge, and Moh Fahri Yasin. "Development of the Sandro Application (Statistics on Android) as a Learning Media in the Educational Statistics." Akademika 13, no. 02 (2025): 140–56. https://doi.org/10.34005/ak.v13i02.4284.

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This study focuses on the development of an Android-based learning application to enhance student interest and understanding in the course of Educational Statistics at IAIN Sultan Amai Gorontalo. Using a research and development (R&D) approach, the study includes the stages of needs analysis, application design, material development, implementation, and evaluation. The evaluation results from subject matter experts show that the presented material aligns with curriculum standards and learning needs. Media experts’ validation indicates that the application has an attractive and functional i

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50

Nufus, Hayatun, and Depi Fitraini. "Statistics education research integrated with Islamic studies (A study of validity and practicality of textbook development)." Jurnal Gantang 9, no. 2 (2024): 265–76. https://doi.org/10.31629/jg.v9i2.6959.

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This research is based on the need for a textbook of educational research statistics that is suitable for use, while its availability has not been met. Therefore, this research is a development study with ADDIE design (analysis, design, development, implementation, and evaluation), which aims to develop and produce an Islamic integrated educational research statistics textbook that meets valid and practical criteria. The data in this study were collected using questionnaire techniques and validity and practicality questionnaire instruments. Development is first carried out before these two ins

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