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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Szadokierski, Isadora; Burns, Matthew K.; McComas, Jennifer J. – School Psychology Review, 2017
The current study used the learning hierarchy/instructional hierarchy phases of acquisition and fluency to predict intervention effectiveness based on preintervention reading skills. Preintervention reading accuracy (percentage of words read correctly) and rate (number of words read correctly per minute) were assessed for 49 second- and…
Descriptors: Intervention, Program Effectiveness, Predictive Measurement, Reading Rate
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Nguyen, Tutrang; Watts, Tyler W.; Duncan, Greg J.; Clements, Douglas H.; Sarama, Julie; Wolfe, Christopher B.; Spitler, Mary Elaine – Society for Research on Educational Effectiveness, 2015
The widespread concern about mathematics achievement has drawn extensive research attention to what skills predict later academic achievement. There is clear and consistent evidence that math achievement at school entry is the strongest predictor of later school success and educational attainment. Early childhood math achievement can thus have…
Descriptors: Mathematics Achievement, Mathematics Skills, Skill Analysis, Predictive Measurement
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Wolters, Christopher A.; Benzon, Maria B. – Journal of Experimental Education, 2013
College students ("N" = 215) completed a self-report instrument designed to assess different regulation of motivation strategies as well as aspects of their motivational beliefs, use of cognitive and metacognitive learning strategies, and procrastination. The study serves to extend the research on the self-regulation of motivation…
Descriptors: College Students, Self Disclosure (Individuals), Self Management, Self Motivation
Taft, Laritza M. – ProQuest LLC, 2010
In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…
Descriptors: Pregnancy, Risk, Patients, Program Effectiveness
Tsai, Chih-Fong; Tsai, Ching-Tzu; Hung, Chia-Sheng; Hwang, Po-Sen – Australasian Journal of Educational Technology, 2011
Enabling undergraduate students to develop basic computing skills is an important issue in higher education. As a result, some universities have developed computer proficiency tests, which aim to assess students' computer literacy. Generally, students are required to pass such tests in order to prove that they have a certain level of computer…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Graduation Requirements
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Gavazzi, Stephen M.; Russell, Christiana M.; Khurana, Atika – Negro Educational Review, 2009
Disproportionately large numbers of Black youth experience repeated encounters with the juvenile justice system, and often these same youth present with a variety of school-related difficulties. Data from a sample of 842 Black males, assessed in five Ohio juvenile courts using the Global Risk Assessment Device (GRAD), are used to describe the…
Descriptors: African American Children, Learning Problems, Student Behavior, Academic Achievement
Liu, Xiufeng; Ruiz, Miguel E. – Journal of Research in Science Teaching, 2008
This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…
Descriptors: Concept Teaching, Elementary Secondary Education, Academic Achievement, National Competency Tests

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