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Showing 1 to 15 of 33 results Save | Export
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Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis
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Susan Bush-Mecenas; Jonathan D. Schweig; Megan Kuhfeld; Louis T. Mariano; Melissa K. Diliberti – Education Policy Analysis Archives, 2024
The COVID-19 pandemic caused tremendous upheaval in schooling. In addition to devasting effects on students, these disruptions had consequences for researchers conducting studies on education programs and policies. Given the likelihood of future large-scale disruptions, it is important for researchers to plan resilient studies and think critically…
Descriptors: Educational Research, COVID-19, Pandemics, Change
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Ting Dai; Yang Du; Jennifer Cromley; Tia Fechter; Frank Nelson – Journal of Experimental Education, 2024
Simple matrix sampling planned missing (SMS PD) design, introduce missing data patterns that lead to covariances between variables that are not jointly observed, and create difficulties for analyses other than mean and variance estimations. Based on prior research, we adopted a new multigroup confirmatory factor analysis (CFA) approach to handle…
Descriptors: Research Problems, Research Design, Data, Matrices
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Corple, Danielle J.; Linabary, Jasmine R. – International Journal of Social Research Methodology, 2020
Many ethical concerns in online big data research stem from a pervasive assumption that data are disembodied and place-less. While some scholars have begun addressing the ethical dilemmas of big data, few offer approaches or tools that fully grapple with the situatedness of online data and its ethical implications. We draw on feminist new…
Descriptors: Feminism, Ethics, Research, Epistemology
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Peng, Yiwei; Xiao, Junhong – Asian Journal of Distance Education, 2022
This study aims to investigate the trustworthiness of empirical research published in distance education (DE) journals, an area that has yet to be systematically explored. The review covers 238 empirical studies which were based on primary data and published in 2021 in eight DE journals listed in Social Science Citation Index (SSCI) or Emerging…
Descriptors: Credibility, Periodicals, Journal Articles, Educational Research
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Lee, Victor R.; Pimentel, Daniel R.; Bhargava, Rahul; D'Ignazio, Catherine – British Journal of Educational Technology, 2022
As the field of K-12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data…
Descriptors: Data, Feminism, Scholarship, Humanization
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Teker, Gülsen Tasdelen – International Journal of Assessment Tools in Education, 2019
The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…
Descriptors: Generalizability Theory, Research Design, Computer Software, Data
Gould, Kaitlin; Gaither, Jamie; Dart, Evan; Weaver, Adam D. – Communique, 2018
Single-case design (SCD) methodology, in which data are displayed in a line graph, can be helpful in determining intervention effectiveness in research and practice. Using visual inspection of graphed data, researchers and practitioners can explore the existence of a functional relationship between implementation of the intervention and a…
Descriptors: School Psychologists, Intervention, Graphs, Data
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Dart, Evan H.; Radley, Keith C. – School Psychology Quarterly, 2018
Single-case data are frequently used in school psychology. In research, single-case designs allow experimenters to provide rigorous demonstrations of treatment effects on a smaller scale and with more precise measurement than traditional group experimental design. In practice, single-case data are used to evaluate the effects of school-based…
Descriptors: Graphs, Psychology, Visual Perception, Data
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Radley, Keith C.; Dart, Evan H.; Wright, Sarah J. – School Psychology Quarterly, 2018
Research based on single-case designs (SCD) are frequently utilized in educational settings to evaluate the effect of an intervention on student behavior. Visual analysis is the primary method of evaluation of SCD, despite research noting concerns regarding reliability of the procedure. Recent research suggests that characteristics of the graphic…
Descriptors: Graphs, Evaluation Methods, Data, Intervention
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Weaver, John A.; Snaza, Nathan – Educational Philosophy and Theory, 2017
This essay defines and critiques "methodocentrism", the belief that predetermined research methods are the determining factor in the validity and importance of educational research. By examining research in science studies and posthumanism, the authors explain how this methodocentrism disenables research from taking account of problems…
Descriptors: Educational Research, Research Methodology, Research Problems, Risk
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Rhemtulla, Mijke; Hancock, Gregory R. – Educational Psychologist, 2016
Although missing data are often viewed as a challenge for applied researchers, in fact missing data can be highly beneficial. Specifically, when the amount of missing data on specific variables is carefully controlled, a balance can be struck between statistical power and research costs. This article presents the issue of planned missing data by…
Descriptors: Educational Psychology, Psychological Studies, Data, Statistical Analysis
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Louie, Josephine; Rhoads, Christopher; Mark, June – American Journal of Evaluation, 2016
Interest in the regression discontinuity (RD) design as an alternative to randomized control trials (RCTs) has grown in recent years. There is little practical guidance, however, on conditions that would lead to a successful RD evaluation or the utility of studies with underpowered RD designs. This article describes the use of RD design to…
Descriptors: Regression (Statistics), Program Evaluation, Algebra, Supplementary Education
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Hembry, Ian; Bunuan, Rommel; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim – Journal of Experimental Education, 2015
A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (?"Levels") model and a model involving a quadratic function…
Descriptors: Computation, Research Design, Data, Intervention
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Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
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