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Clare Baek; Tenzin Doleck – Knowledge Management & E-Learning, 2024
We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies…
Descriptors: Learning Analytics, Educational Research, Sample Size, Literature Reviews
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
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Thakur, Khusbu; Kumar, Vinit – New Review of Academic Librarianship, 2022
A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…
Descriptors: Information Retrieval, Data Analysis, Research Methodology, Trend Analysis
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Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages
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Maruyama, Yukiko – International Association for Development of the Information Society, 2019
This paper presents the results of an attempt to analyze the benefits and risks of information and communication technologies (ICTs) and their applications, as perceived by university students. A survey was conducted using questionnaire with a free descriptive answering format. Responses were analyzed via text mining and correspondence analysis;…
Descriptors: Risk, Computer Software, College Students, Student Attitudes
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Schoemann, Alexander M.; Miller, Patrick; Pornprasertmanit, Sunthud; Wu, Wei – International Journal of Behavioral Development, 2014
Planned missing data designs allow researchers to increase the amount and quality of data collected in a single study. Unfortunately, the effect of planned missing data designs on power is not straightforward. Under certain conditions using a planned missing design will increase power, whereas in other situations using a planned missing design…
Descriptors: Monte Carlo Methods, Simulation, Sample Size, Research Design
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von Davier, Matthias; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2007
Reporting methods used in large-scale assessments such as the National Assessment of Educational Progress (NAEP) rely on latent regression models. To fit the latent regression model using the maximum likelihood estimation technique, multivariate integrals must be evaluated. In the computer program MGROUP used by the Educational Testing Service for…
Descriptors: Simulation, Computer Software, Sampling, Data Analysis
Lambert, Richard; Flowers, Claudia; Sipe, Theresa; Idleman, Lynda – 1997
This paper discusses three software packages that offer unique features and options that greatly simplify the research package for conducting surveys. The first package, EPSILON, from Resource Group, Ltd. of Dallas (Texas) is designed to perform a variety of sample size calculations covering most of the commonly encountered survey research…
Descriptors: Computation, Computer Software, Data Analysis, Integrated Activities
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Vegas, Kristopher C.; Jenson, William R.; Kircher, John C. – Behavioral Disorders, 2007
One current area of dispute in the psychological literature is the inclusion of and proper meta-analytic data analysis procedures for single-subject designs. The current single-subject meta-analysis (N = 25) investigated the effect of time-out for the reduction of disruptive classroom behaviors in nondevelopmentally delayed children. Two separate…
Descriptors: Student Behavior, Computer Software, Meta Analysis, Timeout
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Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis
Anderson, John F. – 1986
This paper summarizes and highlights some of the critical developments, issues, and trends which impact the work of survey research. The issue of preventing or minimizing nonresponse bias by successfully obtaining cooperation from people being surveyed continues to be of concern to survey research professionals. The most effective response rate…
Descriptors: Computer Software, Data Analysis, Data Collection, Educational Research
DeJong, William; Wechsler, Henry – 1998
Under the Drug-Free Schools and Campuses Act, institutions of higher education are required to review the effectiveness of their alcohol and drug prevention programs biannually. This guide offers a method for gathering and interpreting student survey data on alcohol-related problems based on the methodology of the College Alcohol Survey developed…
Descriptors: Alcohol Abuse, College Students, Comparative Analysis, Computer Software