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Burkholder, Eric; Walsh, Cole; Holmes, N. G. – Physical Review Physics Education Research, 2020
Physics education research (PER) has long used concept inventories to investigate student learning over time and to compare performance across various student subpopulations. PER has traditionally used normalized gain to explore these questions but has begun to use established methods from other fields, including Cohen's "d," multiple…
Descriptors: Physics, Science Education, Educational Research, Science Tests
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Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
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He, Lingjun; Levine, Richard A.; Fan, Juanjuan; Beemer, Joshua; Stronach, Jeanne – Practical Assessment, Research & Evaluation, 2018
In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…
Descriptors: Institutional Research, Regression (Statistics), Statistical Analysis, Data Analysis
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Pek, Jolynn; Wong, Octavia; Wong, C. M. – Practical Assessment, Research & Evaluation, 2017
Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…
Descriptors: Data Analysis, Regression (Statistics), Statistical Inference, Data Interpretation
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
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Carpenter, Dick M., II; Robertson, Jenifer Walsh; Johnson, Michele E.; Blum, Scott – Journal of School Public Relations, 2014
This study measured the salience of, sentiment of, and topics about schools in social media. Based on a mixed-methods approach, results indicated that school districts do not appear to be discussed often or widely, but the small numbers of people who communicate about districts do so repeatedly, positively, and in concentration. Larger and…
Descriptors: Social Networks, Internet, Educational Research, Information Sources
Diakow, Ronli Phyllis – ProQuest LLC, 2013
This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…
Descriptors: Inferences, Educational Assessment, Academic Achievement, Educational Research
Martorell, Paco; McFarlin, Isaac, Jr. – Online Submission, 2010
Providing remedial (also known as developmental) education is the primary way colleges cope with students who do not have the academic preparation needed to succeed in college-level courses. Remediation is widespread, with nearly one-third of entering freshman taking remedial courses at a cost of at least $1 billion per year. Despite its…
Descriptors: Academic Achievement, Remedial Instruction, Labor Market, Outcomes of Education
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Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1992
Discusses problems researchers face when they want to describe relationship between several predictors and criterion variable. Considers ways of addressing problem of contribution of each predictor depending on which other predictors are in regression equation. Focuses on parallel information for each variable, examining initial and final…
Descriptors: Data Analysis, Data Interpretation, Regression (Statistics), Research Problems
Royeen, Charlotte Brasic – 1986
In order to examine the possible effects of violation of assumptions using parametric procedures, this study is an exploratory investigation into the use of parametric versus nonparametric procedures using a multiple case study design. The case study investigation guidelines outlined by Yin served as the methodology. The following univariate…
Descriptors: Analysis of Variance, Data Analysis, Data Interpretation, Nonparametric Statistics
Rose, Michael – 1999
The contribution of occupational profiling to explaining and forecasting job satisfaction were analyzed by using data on job satisfaction for 33,249 workers from waves 1-7 of the British Household Panel Survey. Overall job satisfaction gradients were defined for major and minor groups of occupations in the United Kingdom's Standard Occupational…
Descriptors: Alienation, Attitude Measures, Comparative Analysis, Data Analysis