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Showing 1 to 15 of 19 results Save | Export
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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
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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
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Damio, Siti Maftuhah – Asian Journal of University Education, 2018
The purpose of this article is to describe the analytic process of a method of data collection known as Q Methodology. This method is an alternative method in collecting data especially suited to research on "points of views" (Coogan & Herrington, 2011, p. 24). The analytic process of Q methodology involves factor analysis, a…
Descriptors: Q Methodology, Data Collection, Factor Analysis, Keyboarding (Data Entry)
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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
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Leonard, Simon N.; Fitzgerald, Robert N.; Bacon, Matt – Australasian Journal of Educational Technology, 2016
Emerging technologies offer an opportunity for the development, at the institutional level, of quality processes with greater capacity to enhance learning in higher education than available through current quality processes. These systems offer the potential to extend use of learning analytics in institutional-level quality processes in addition…
Descriptors: Foreign Countries, Educational Technology, Technological Advancement, Quality Assurance
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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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
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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
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Gold, Robert S.; And Others – Journal of School Health, 1983
This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)
Descriptors: Data Collection, Health Education, Item Sampling, Matrices
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Cloutterbuck, Jane C.; Cherry, Brenda S. – Journal of Nursing Education, 1998
The Cloutterbuck Minimum Data Matrix is designed to generate a base of consumer information for critical analysis and synthesis to produce health care outcomes. The interdisciplinary teaching tool helps students recognize the diversity of health care consumers. (SK)
Descriptors: Data Analysis, Data Collection, Matrices, Nursing Education
Riley, Thomas; Davani, Holly; Chason, Pat; Findley, Ken; Druyor, Dale – Educational Technology, 2003
Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…
Descriptors: Data Collection, Evaluation Methods, Interviews, Matrices
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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
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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
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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
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Raver, Sharon – Young Exceptional Children, 2003
This article reviews routine-based teaching and monitoring and offers guidelines for using these strategies to track the progress of individual children with disabilities. The Individual Activity-Objective Matrix and the Group-Objective Matrix are explained as ways to help teachers to structure opportunities for a child to learn and practice…
Descriptors: Data Collection, Disabilities, Early Childhood Education, Group Instruction
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