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Albaqshi, Amani Mohammed H. – ProQuest LLC, 2017
Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…
Descriptors: Least Squares Statistics, Regression (Statistics), Statistical Analysis, Data Analysis
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Lowe, Andrew; Norris, Anthony C.; Farris, A. Jane; Babbage, Duncan R. – Field Methods, 2018
An important aspect of qualitative research is reaching saturation--loosely, a point at which observing more data will not lead to discovery of more information related to the research questions. However, there has been no validated means of objectively establishing saturation. This article proposes a novel quantitative approach to measuring…
Descriptors: Qualitative Research, Data Analysis, Statistical Analysis, Measurement Techniques
Hyunsuk Han – ProQuest LLC, 2018
In Huggins-Manley & Han (2017), it was shown that WLSMV global model fit indices used in structural equating modeling practice are sensitive to person parameter estimate RMSE and item difficulty parameter estimate RMSE that results from local dependence in 2-PL IRT models, particularly when conditioning on number of test items and sample size.…
Descriptors: Models, Statistical Analysis, Item Response Theory, Evaluation Methods
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Jennifer Wine; Beth Hustedt; Jennifer Cooney; Erin Thomsen – National Center for Education Statistics, 2023
This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…
Descriptors: Longitudinal Studies, College Graduates, Bachelors Degrees, College Students
Rankin, Jenny Grant – Online Submission, 2015
Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…
Descriptors: Data, Information Utilization, Relevance (Education), Data Interpretation
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Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
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Akcay, Miyase; Karabag, Tugce; Baglama, Basak; Yucesoy, Yucehan – Cypriot Journal of Educational Sciences, 2019
The aim of this research is to examine postgraduate thesis on mainstreaming education carried out in Turkey based on various variables. A total number of 200 postgraduate theses on mainstreaming education was obtained from Higher Education Council of Turkey. Data of the research were examined based on content analysis criteria including year of…
Descriptors: Foreign Countries, Doctoral Students, Doctoral Dissertations, Mainstreaming
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Doran, Elizabeth; Li, Ann; Aikens, Nikki; Dang, Myley; Kopack Klein, Ashley; Reid, Natalie; Scott, Myah; Rakibullah, Sharika; Cannon, Judy; Harrington, Jeff; Larson, Addison; Bernstein, Sara; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low incomes get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Social Services, Low Income Students, Federal Programs, Family Relationship
Fontichiaro, Kirstin; Oehrli, Jo Angela – Knowledge Quest, 2016
As many states move forward with adoption or adaptation of the College, Career, and Civic Life (C3) Framework for Social Studies State Standards, Common Core State Standards, and/or Next Generation Science Standards, students are expected to be fluent with data: to collect and analyze it, create figures and tables, integrate quantitative…
Descriptors: Information Literacy, Data Collection, Data Analysis, Skill Development
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
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Alhajri, Rana; Alhunaiyyan, Ahmed A.; AlMousa, Eba' – International Journal of Web-Based Learning and Teaching Technologies, 2017
In recent studies, there has been focus on understanding learner performance and behaviour using Web-Based Instruction (WBI) systems which accommodate individual differences. Studies have investigated the performance of these differences individually such as gender, cognitive style and prior knowledge. In this article, the authors describe a…
Descriptors: Web Based Instruction, Educational Technology, Technology Uses in Education, Case Studies
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Çelik, H. Coskun – Educational Research and Reviews, 2017
The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty-nine studies were selected using purposeful sampling based on the term, "mathematical modelling" with Higher Education Academic Search Engine. They were analyzed with content analysis.…
Descriptors: Mathematical Models, Foreign Countries, Content Analysis, Qualitative Research
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Wiens, Stefan; Nilsson, Mats E. – Educational and Psychological Measurement, 2017
Because of the continuing debates about statistics, many researchers may feel confused about how to analyze and interpret data. Current guidelines in psychology advocate the use of effect sizes and confidence intervals (CIs). However, researchers may be unsure about how to extract effect sizes from factorial designs. Contrast analysis is helpful…
Descriptors: Data Analysis, Effect Size, Computation, Statistical Analysis
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Trafimow, David; MacDonald, Justin A. – Educational and Psychological Measurement, 2017
Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…
Descriptors: Statistical Inference, Statistics, Data Collection, Equations (Mathematics)
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