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Kuba, Renata; Jeong, Allan – Journal of Visual Literacy, 2023
New technologies have made the world highly visual, making visual literacy an important and relevant 21st-century skill. Educators and students are often required to produce visual communication products such as infographics, but they often lack the confidence and proficiency in visual design skills to create higher-quality infographics. We…
Descriptors: Design, Visual Arts, Visual Aids, Data Analysis
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Fariba Nosrati; Timothy Burns; Yuan Gao; Cherie Sherman – Information Systems Education Journal, 2025
The purpose of this study is to investigate the current state of graduate level business analytics education in the United States. The goal of this research is twofold. The first goal is to understand how higher education institutions are addressing the growing demand for analysts and data-savvy managers in the job market. To achieve this aim, the…
Descriptors: Graduate Students, Data Analysis, Statistics Education, Labor Needs
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Timothy Lycurgus; Daniel Almirall – Society for Research on Educational Effectiveness, 2023
Background: In educational settings, individuals are often best served by an intervention that is adapted over sequential stages to suit their initial and changing needs. The salience of an adaptive intervention is, perhaps, most clear in the classroom. Learning itself is a sequential process: mastering a given concept or technique frequently…
Descriptors: Statistics Education, Sequential Approach, Intervention, Research Design
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Alexander D. Latham; David A. Klingbeil – Grantee Submission, 2024
The visual analysis of data presented in time-series graphs are common in single-case design (SCD) research and applied practice in school psychology. A growing body of research suggests that visual analysts' ratings are often influenced by construct-irrelevant features including Y-axis truncation and compression of the number of data points per…
Descriptors: Intervention, School Psychologists, Graphs, Evaluation Methods
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Aydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
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Anthony S. DiStefano; Joshua S. Yang – Field Methods, 2024
Despite recent methodological advances in saturation, guidelines for its estimation in more complex research designs--such as ethnographic studies--have been lacking. We present an accessible, step-by-step approach to empirical assessment of data saturation, tested on a moderately sized ethnographic study with 109 combined direct observations and…
Descriptors: Sample Size, Ethnography, Research Methodology, Research Design
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Alexandru Cernat; Joseph Sakshaug; Pablo Christmann; Tobias Gummer – Sociological Methods & Research, 2024
Mixed-mode surveys are popular as they can save costs and maintain (or improve) response rates relative to single-mode surveys. Nevertheless, it is not yet clear how design decisions like survey mode or questionnaire length impact measurement quality. In this study, we compare measurement quality in an experiment of three distinct survey designs…
Descriptors: Surveys, Questionnaires, Item Analysis, Attitude Measures
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Ackerman, Rakefet – Educational Psychology Review, 2023
Solving problems in educational settings, as in daily-life scenarios, involves constantly assessing one's own confidence in each considered solution. Metacognitive research has exposed cues that may bias confidence judgments (e.g., familiarity with question terms). Typically, metacognitive research methodologies require examining misleading cues…
Descriptors: Cues, Instructional Design, Bias, Problem Solving
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Handley, Holley; Hastings, Nancy B. – Impacting Education: Journal on Transforming Professional Practice, 2023
This essay describes the design, and subsequent redesign, of the research methods courses included in an Instructional and Performance Technology (IPT) EdD program at a regional comprehensive university in the southeast United States. The program under examination was developed based on the principles of the Carnegie Project for the Education…
Descriptors: Instructional Design, Research Methodology, Doctoral Programs, Curriculum
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Dart, Evan H.; Radley, Keith C. – Psychology in the Schools, 2023
Single-case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual…
Descriptors: Research Design, Research Methodology, Data Collection, Data Analysis
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Wolfe, Katie; McCammon, Meka N. – Journal of Behavioral Education, 2022
Visual analysis is the predominant method of analysis in single-case research (SCR). However, most research suggests that agreement between visual analysts is poor, which may be due to a lack of clear guidelines and criteria for visual analysis, as well as variability in how individuals are trained. We developed a survey containing questions about…
Descriptors: Research Design, Data Analysis, Statistical Analysis, Applied Behavior Analysis
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Jeffrey Matayoshi; Shamya Karumbaiah – Journal of Educational Data Mining, 2024
Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…
Descriptors: Models, Statistical Bias, Data Analysis, Simulation
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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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Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
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Federico Colecchia; Fabrizio Ceschin; David Harrison – International Journal of Technology and Design Education, 2025
It has been acknowledged that global challenges are in the way of delivering responsible innovation, as reflected in the Sustainable Development Goals -- a set of strategic objectives formulated by the United Nations General Assembly, to promote environmentally, societally, and economically-sustainable development. Design higher education has an…
Descriptors: Technology Uses in Education, Design, Higher Education, Sustainability
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