NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers3
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 21 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
Peer reviewed Peer reviewed
Direct linkDirect link
Choi, Sangdo – Decision Sciences Journal of Innovative Education, 2019
Operations and Supply Chain Management (OSCM) courses may cover supply chain strategies, supply chain classification, and supply chain performance. Familiarity with various manufacturing and logistics firms would help students to better understand such topics. Information on the Dow Jones Industrial Average indexed firms and top 50 supply chain…
Descriptors: Supply and Demand, Business Administration Education, Industry, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Whitcomb, Sara A.; Woodland, Rebecca H.; Barry, Shannon K. – International Journal of School & Educational Psychology, 2017
An exploratory case study is presented in which social network analysis (SNA) was used to explore how school teaming structures influence the implementation of School-Wide Positive Behavioral Interventions and Supports (PBIS). The authors theorized that PBIS leadership teams that include members with connections to all other information-sharing…
Descriptors: Case Studies, Positive Behavior Supports, Program Implementation, Social Networks
Voß, Lydia; Schatten, Carlotta; Mazziotti, Claudia; Schmidt-Thieme, Lars – International Educational Data Mining Society, 2015
Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…
Descriptors: Transfer of Training, Intelligent Tutoring Systems, Statistics, Probability
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Koedinger, Kenneth R.; McLaughlin, Elizabeth A. – International Educational Data Mining Society, 2016
Many educational data mining studies have explored methods for discovering cognitive models and have emphasized improving prediction accuracy. Too few studies have "closed the loop" by applying discovered models toward improving instruction and testing whether proposed improvements achieve higher student outcomes. We claim that such…
Descriptors: Educational Research, Data Collection, Task Analysis, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Zank, Alicia A. – Online Submission, 2015
The purpose of the study is to determine what effects explicit and systematic math intervention instruction will have on student's performance on math assessments. The study will focus on a small group of fifth grade students that have been identified as needing targeted intervention (tier 2) and intensive interventions (tier 1) through the…
Descriptors: Intervention, Mathematics Instruction, Grade 5, Response to Intervention
Boso, Annie – Online Submission, 2011
An action research project was conducted in order to determine effective math fact strategies for first graders. The traditional way of teaching math facts included using timed tests and flashcards, with most students counting on their fingers or a number line. Six new research-based strategies were taught and analyzed to decide which methods…
Descriptors: Focus Groups, Timed Tests, Achievement Tests, Student Journals
Dekker, Gerben W.; Pechenizkiy, Mykola; Vleeshouwers, Jan M. – International Working Group on Educational Data Mining, 2009
The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program…
Descriptors: Information Retrieval, Engineering Education, College Freshmen, Case Studies
Peer reviewed Peer reviewed
Preskill, Hallie; Wentling, Tim L. – Journal of Vocational Education Research, 1984
The research reported in this article lends support to using matrix sampling procedures with paired comparisons in survey research. When a large number of items are to be assessed, matrix sampling proves to be a reliable and effective way to obtain survey data. (Author/CT)
Descriptors: Data Collection, Matrices, Program Evaluation, Research Methodology
Gabriel, Roy M. – 1975
Multidimensional scaling (MDS) a highly reliable measurement technique, often requires an overwhelming task of the subject in the data collection procedure. This investigation was designed to determine the loss of precision in solution associated with five degrees of systematic reduction in the data collection task. Data were simulated via Monte…
Descriptors: Data Analysis, Data Collection, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Hurt, C. D. – Library and Information Science Research, 1985
An examination of methodological referencing patterns for actual physics, engineering, and sociology literature for the year 1983, using a Dunn planned comparison approach, indicates that physics differs from both engineering and sociology, while no difference was found between engineering and sociology. References are given in each sample…
Descriptors: Citations (References), Comparative Analysis, Data Collection, Engineering
PDF pending restoration PDF pending restoration
Oregon Univ., Eugene. Center for Educational Policy and Management. – 1976
This report describes a preliminary attempt to explore and map the research information, products, and strategies with implications for educational policy. Since efforts were directed toward breadth rather than depth coverage, the results were more useful in identifying gaps than in analyzing the strengths and weaknesses of the available…
Descriptors: Classification, Conceptual Schemes, Data Collection, Educational Policy
Peer reviewed Peer reviewed
Turner, Stephen J.; O'Brien, Gregory – Journal of the American Society for Information Science, 1984
Results of data analysis on 470 journal titles illustrate complexity of the fuzzy set theory modeling process, which consists of three factors--number of missing issues, citations, circulations--and its limitations in making journal binding decisions. Procedures of research, data collection, and data analysis are discussed. Matrices are included.…
Descriptors: Data Analysis, Data Collection, Decision Making, Discriminant Analysis
Peer reviewed Peer reviewed
White, Howard D.; Calhoun, Karen – Journal of the American Society for Information Science, 1984
Enrollment data for 1977-1982 are used to produce an innovative map of top 42 elective courses in Drexel University's School of Library and Information Science. Data gathering and computing procedures are given in sufficient detail for replication and evidence is relevant to accreditation standards of American Library Association. (Sixteen…
Descriptors: College Curriculum, Data Collection, Data Processing, Elective Courses
Previous Page | Next Page »
Pages: 1  |  2