Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 17 |
Descriptor
Data Analysis | 41 |
Research Methodology | 41 |
Statistics | 41 |
Data Collection | 15 |
Statistical Analysis | 11 |
Educational Research | 9 |
Foreign Countries | 8 |
Research Design | 8 |
Higher Education | 7 |
Learning Activities | 7 |
Evaluation Methods | 6 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Researchers | 3 |
Students | 2 |
Teachers | 2 |
Practitioners | 1 |
Location
Latvia | 2 |
New York | 2 |
Albania | 1 |
Australia | 1 |
Belgium | 1 |
Bulgaria | 1 |
China | 1 |
Jamaica | 1 |
Kenya | 1 |
Pakistan | 1 |
United Kingdom (Great Britain) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Head Start Family and Child… | 1 |
What Works Clearinghouse Rating
Integration of Game-Based Learning to Teach Levels of Measurement in Research Methods and Statistics
Storm, Colin H.; Penner, Anna – Communication Teacher, 2023
Students typically find research methods and statistics classes intimidating. In particular, learning different types of data measurement and operationalization can take significant time and practice to understand. Utilizing a pedagogical approach that turns a party game into a fun exercise, students collaboratively learn to operationalize…
Descriptors: Research Methodology, Statistics, Game Based Learning, Educational Games
Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Osler, James Edward – Journal on Educational Psychology, 2015
This monograph provides a neuroscience-based systemological, epistemological, and methodological rational for the design of an advanced and novel parametric statistical analytics designed for the biological sciences referred to as "Biotrichotomy". The aim of this new arena of statistics is to provide dual metrics designed to analyze the…
Descriptors: Neurosciences, Epistemology, Biology, Statistics
Nowacki, Amy S. – Journal of Statistics Education, 2015
Statistics courses that focus on data analysis in isolation, discounting the scientific inquiry process, may not motivate students to learn the subject. By involving students in other steps of the inquiry process, such as generating hypotheses and data, students may become more interested and vested in the analysis step. Additionally, such an…
Descriptors: Statistics, Teaching Methods, Data Analysis, Science Process Skills
Anyieni, Abel G.; Areri, Damaris K. – Journal of Education and Practice, 2016
Past research have pointed out that excellent strategies have been written but extremely small have been accomplished in their implementation. It has additionally been proposed that only 10% of formulated strategies are successfully implemented. However, crafting the best strategy is not the end in itself but the ultimate result will only be…
Descriptors: Strategic Planning, Program Implementation, Secondary Schools, Foreign Countries
Drysdale, Jeffery S.; Graham, Charles R.; Spring, Kristian J.; Halverson, Lisa R. – Internet and Higher Education, 2013
This article analyzes the research of 205 doctoral dissertations and masters' theses in the domain of blended learning. A summary of trends regarding the growth and context of blended learning research is presented. Methodological trends are described in terms of qualitative, inferential statistics, descriptive statistics, and combined approaches…
Descriptors: Doctoral Dissertations, Instructional Design, Educational Research, Blended Learning
Chazan-Cohen, Rachel; Halle, Tamara G.; Barton, Lauren R.; Winsler, Adam – Early Childhood Research Quarterly, 2012
We are delighted to reflect on the 10 papers highlighted in this important special issue of "Early Childhood Research Quarterly" devoted to recent secondary data analyses of the FACES and EHSREP datasets. First, we provide some background on Head Start research and give an overview of the large-scale Head Start and Early Head Start…
Descriptors: Preschool Education, Disadvantaged Youth, Child Development, Surveys
Bradstreet, Thomas E.; Palcza, John S. – Teaching Statistics: An International Journal for Teachers, 2012
Data from a cough challenge study are displayed with dot charts to demonstrate the importance of graphs in understanding data, principles of graph construction and visual perception. The data are available for use in the classroom.
Descriptors: Visual Perception, Statistics, Mathematical Concepts, Mathematics Instruction
Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
Bembenutty, Hefer – Journal of Advanced Academics, 2011
This article presents an interview with David Rindskopf, a Distinguished Professor of Educational Psychology and Psychology at the City University of New York Graduate Center, where he has taught since 1979. His research and teaching are in the area of applied statistics, measurement, and research design. He is a fellow of the American Statistical…
Descriptors: Research Design, Educational Research, Educational Psychology, Experimental Psychology
Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Vitinš, Maris; Rasnacs, Oskars – Informatics in Education, 2012
Information and communications technologies today are used in virtually any university course when students prepare their papers. ICT is also needed after people are graduated from university and enter the job market. This author is an instructor in the field of informatics related to health care and social sciences at the Riga Stradins…
Descriptors: Educational Technology, Assignments, Information Science, Data Processing
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Pattison, Sandra; Hargreaves, Jo – National Centre for Vocational Education Research (NCVER), 2009
The National Centre for Vocational Education Research (NCVER) was asked by Technical and Further Education (TAFE) Directors Australia to consider, in a discussion paper for their conference held on the Gold Coast in September 2009, how a "tertiary education" sector impacts on the way people think about research and statistics. While a…
Descriptors: Higher Education, Foreign Countries, Databases, Statistics
Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases