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Hayat Sahlaoui; El Arbi Abdellaoui Alaoui; Said Agoujil; Anand Nayyar – Education and Information Technologies, 2024
Predicting student performance using educational data is a significant area of machine learning research. However, class imbalance in datasets and the challenge of developing interpretable models can hinder accuracy. This study compares different variations of the Synthetic Minority Oversampling Technique (SMOTE) combined with classification…
Descriptors: Sampling, Classification, Algorithms, Prediction
Pavelko, Stacey L.; Owens, Robert E., Jr. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: The purposes of this tutorial are (a) to describe a method of language sample analysis (LSA) referred to as SUGAR (Sampling Utterances and Grammatical Analysis Revised) and (b) to offer step-by-step instructions detailing how to collect, transcribe, analyze, and interpret the results of a SUGAR language sample. Method: The tutorial begins…
Descriptors: Sampling, Language Tests, Data Collection, Data Analysis
Gachago, Daniela; Livingston, Candice – Reading & Writing: Journal of the Reading Association of South Africa, 2020
Background: Digital storytelling (DST) has been embraced in classrooms around the world as a way to unpack issues of identity and positionality which are critical for any pedagogy concerned with social justice. However, adopting this process-orientated practice into higher education raises ethical concerns especially in relation to the normative…
Descriptors: Story Telling, Computer Uses in Education, Social Justice, Ethics
Shaughnessy, Michael – National Council of Teachers of Mathematics, 2008
Until recently, much of the research on students' understanding of statistical ideas has focused on their conceptions of center or on what constitutes a good sample. In the past decade research on students' statistical thinking has broadened and increasing interest has been paid to how students think about variability in data or variability in…
Descriptors: Statistics, Statistical Data, Data Interpretation, Sampling
Hart, Ray; Casserly, Michael; Uzzell, Renata; Palacios, Moses; Corcoran, Amanda; Spurgeon, Liz – Council of the Great City Schools, 2015
There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…
Descriptors: Urban Schools, Student Evaluation, Testing Programs, Testing
Unkelbach, Christian; Fiedler, Klaus; Freytag, Peter – Organizational Behavior and Human Decision Processes, 2007
The sampling approach [Fiedler, K. (2000a). "Beware of samples! A cognitive-ecological sampling approach to judgment biases." "Psychological Review, 107"(4), 659-676.] attributes judgment biases to the information given in a sample. Because people usually do not monitor the constraints of samples and do not control their judgments accordingly,…
Descriptors: Metacognition, Sampling, Value Judgment, Bias

Zwick, William R.; Velicer, Wayne F. – 1984
A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…
Descriptors: Behavioral Science Research, Comparative Analysis, Correlation, Data Interpretation
Long, Jeffrey D. – Psychological Methods, 2005
Often quantitative data in the social sciences have only ordinal justification. Problems of interpretation can arise when least squares multiple regression (LSMR) is used with ordinal data. Two ordinal alternatives are discussed, dominance-based ordinal multiple regression (DOMR) and proportional odds multiple regression. The Q[superscript 2]…
Descriptors: Simulation, Social Science Research, Error of Measurement, Least Squares Statistics
Bottcher, Jean; Ezell, Michael E. – Journal of Research in Crime and Delinquency, 2005
The boot camp model became a correctional panacea for juvenile offenders during the early 1990s, promising the best of both worlds--less recidivism and lower operating costs. Although there have been numerous studies of boot camp programs since that time, most have relied on nonrandomized comparison groups. The California Youth Authority's (CYA's)…
Descriptors: Delinquency, Followup Studies, Program Effectiveness, Delinquency Prevention
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory
Wegner, Toni Giuliano; Ree, Malcolm James – 1985
In the late 1970s, the Department of Defense requested that the reference population for the Armed Services Vocational Aptitude Battery (ASVAB) be changed and updated to reflect the current youth population. Analyses of new data collected in 1980 indicated that speeded subtest scores of the new sample were atypically low and that the sample might…
Descriptors: Adults, Answer Sheets, Armed Forces, Data Analysis
Forsyth, G. Alfred; And Others – 1991
To determine the factors that influence interpretation of a research study description, 8 descriptions of research studies were interpreted by 320 undergraduate students in psychology, mathematics, and economics statistics and research methods classes at the University of Victoria (British Columbia, Canada), Millersville University (Pennsylvania),…
Descriptors: Data Interpretation, Economics, Foreign Countries, Generalization
Karst, Ralph R. – 1996
This brief report summarizes the results of a survey of professors of educational administration in the southern region of the United States, which sought to determine whether preparation programs were democratically administered. The survey included some demographic questions, 12 questions that asked respondents to rank preparation programs…
Descriptors: Curriculum Evaluation, Data Collection, Data Interpretation, Democratic Values
Grover, Burton L.; Post, Richard L. – 1984
The Arlington, Washington, School District--a mostly rural district with enrollment of 2,790--conducted a survey of its public using both blanket mailing and random sampling procedures in order to compare the views of the total population with the views of the typically small percentage who mail back a questionnaire. The questionnaire contained 29…
Descriptors: Community Attitudes, Community Surveys, Comparative Analysis, Data Interpretation
Beaton, Albert E. – 1987
In 1982, the Educational Testing Service (ETS) proposed to implement a new, complex design for the National Assessment of Educational Progress (NAEP). The major features of this design are described in "A New Design for a New Era" (Messick, Beaton, and Lord, 1983). The purpose of this document is to describe the actual implementation of…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
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