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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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Usen, Onodiong Mfreke – Journal of Education and Practice, 2016
The study examined the relationship between teachers' utilization of school facilities and academic achievement of student nurses in Human Biology in schools of Nursing in Akwa Ibom State. Four (4) specific objectives, four (4) research questions and four (4) null hypotheses were formulated to guide the study. Ex-post facto survey design was…
Descriptors: Educational Facilities, Academic Achievement, Nursing Students, Nursing Education
Ewing, Maureen; Wyatt, Jeff – College Board, 2017
Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP Exam based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara, & Millsap, 2006; Zhang, Patel, & Ewing, 2014a). For most…
Descriptors: Advanced Placement Programs, Aptitude Tests, High Schools, College Entrance Examinations
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Turgut, Sedat – International Journal of Progressive Education, 2019
By using the descriptive content analysis, this research study aimed to evaluate the studies on mathematics education presented within the scope of International Classroom Teaching Education Symposium (USOS) and published in proceeding book between 2014-2018. Findings of the study indicated that the number of studies conducted about mathematics…
Descriptors: Mathematics Education, Mathematics Instruction, Elementary School Mathematics, Content Analysis
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Bulut, Okan; Yavuz, Hatice Cigdem – International Journal of Assessment Tools in Education, 2019
Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…
Descriptors: Data Analysis, Educational Research, Educational Researchers, Computer Software
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Huckabee, Maggie-Lee; McIntosh, Theresa; Fuller, Laura; Curry, Morgan; Thomas, Paige; Walshe, Margaret; McCague, Ellen; Battel, Irene; Nogueira, Dalia; Frank, Ulrike; van den Engel-Hoek, Lenie; Sella-Weiss, Oshrat – International Journal of Language & Communication Disorders, 2018
Background: Clinical swallowing assessment is largely limited to qualitative assessment of behavioural observations. There are limited quantitative data that can be compared with a healthy population for identification of impairment. The Test of Masticating and Swallowing Solids (TOMASS) was developed as a quantitative assessment of solid bolus…
Descriptors: Medical Evaluation, Clinical Diagnosis, Motor Reactions, Reliability
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Bi, Henry H. – Assessment & Evaluation in Higher Education, 2018
There are no absolute standards regarding what teaching evaluation ratings are satisfactory. It is also problematic to compare teaching evaluation ratings with the average or with a cutoff number to determine whether they are adequate. In this paper, we use average and standard deviation charts (X[overbar]-S charts), which are based on the theory…
Descriptors: Robustness (Statistics), Data Interpretation, Rating Scales, Computation
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Kovalchik, Stephanie A.; Martino, Steven C.; Collins, Rebecca L.; Shadel, William G.; D'Amico, Elizabeth J.; Becker, Kirsten – Journal of Educational and Behavioral Statistics, 2018
Ecological momentary assessment (EMA) is a popular assessment method in psychology that aims to capture events, emotions, and cognitions in real time, usually repeatedly throughout the day. Because EMA typically involves more intensive monitoring than traditional assessment methods, missing data are commonly an issue and this missingness may bias…
Descriptors: Probability, Statistical Bias, Holistic Approach, Evaluation Methods
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Boland, William Casey – Education Sciences, 2018
To date, there has been little analysis of MSI Title III and V grant-funded programs across all MSI categories. For researchers, practitioners, and policymakers, it is imperative to explore the contributions of MSIs as manifested in Title III and V grant-funded programs. The purpose of this study is to analyze MSI Title III and V programs based on…
Descriptors: Federal Legislation, Higher Education, Educational Legislation, College Students
Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui – International Educational Data Mining Society, 2015
Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…
Descriptors: Comparative Analysis, Classification, Regression (Statistics), Mathematics
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Yurtseven, Nihal; Bademcioglu, Mehtap – Journal of Education and Training Studies, 2016
The purpose of this study is to carry out a content analysis about the studies on teachers' professional development and to determine the tendencies in these studies. Within this scope, 60 studies that were registered to Turkish National Thesis Centre and ProQuest database between the years 2005-2015 were examined. Of the 60 studies, 37 of them…
Descriptors: Foreign Countries, Faculty Development, Content Analysis, Educational Trends
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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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Thorpe, Angie; Lukes, Ria; Bever, Diane J.; He, Yan – portal: Libraries and the Academy, 2016
In an age of assessment and accountability, academic libraries feel much pressure to prove their value according to new university measurements of student success. This study describes a methodology for how libraries may examine student interactions with services to assess whether library usage impacts student grade point averages (GPAs) and…
Descriptors: Academic Libraries, Academic Achievement, Success, Measurement
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Wind, Stefanie A.; Engelhard, George, Jr. – Educational and Psychological Measurement, 2016
Mokken scale analysis is a probabilistic nonparametric approach that offers statistical and graphical tools for evaluating the quality of social science measurement without placing potentially inappropriate restrictions on the structure of a data set. In particular, Mokken scaling provides a useful method for evaluating important measurement…
Descriptors: Nonparametric Statistics, Statistical Analysis, Measurement, Psychometrics
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Treadwell, Greg; Ross, Tara; Lee, Allan; Lowenstein, Jeff Kelly – Journalism and Mass Communication Educator, 2016
Influenced by the practices of social scientists, data journalists seek to create stories that frame social reality through quantitative data analysis. While the use of statistics by journalists is not new, exponential growth in available data and a desire for source material unmediated by political and public-relations framings have seen data…
Descriptors: Case Studies, Journalism, Journalism Education, Foreign Countries
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