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Kim, Jeanette; Simon, Mia; Horenstein, Aaron; Webber, Althea J. – Grantee Submission, 2020
The City University of New York (CUNY) is the largest urban public university system in the United States with approximately 100,000 students enrolled in associate degree programs. Similar to trends nationwide, many associate degree students come to CUNY underprepared for college-level classes and are assigned to take remedial or developmental…
Descriptors: Community Colleges, Educational Change, Developmental Studies Programs, Urban Universities
Winters, John V. – Thomas B. Fordham Institute, 2020
This study examines how the "college earnings premium" (CEP)--the difference in average earnings between workers with and without college education--varies across the United States. Specifically, it compares across cities, states, and rural areas the mean earnings of workers with bachelor's degrees to those with associate degrees, with…
Descriptors: College Graduates, Income, Education Work Relationship, Geographic Location
Enrique Ruacho – ProQuest LLC, 2020
This study explored the implementation of data driven decision making (DDDM) among superintendents to improve low-performing schools in the Western United States. Specifically, this study utilized the Clark and Estes (2008) Gap Analytic Conceptual Framework to understand superintendents' knowledge, motivation, and organizational influences related…
Descriptors: Data Use, Decision Making, Low Achievement, Institutional Characteristics
Kalia R. Patricio – ProQuest LLC, 2020
Stratification in postsecondary education has been a persistent issue since education became widely available to women, racial and ethnic minorities, and low-income students. This unequal access to education has significant consequences on where people end up in the labor market because of the strong connection between education and job…
Descriptors: Community Colleges, Equal Education, Guided Pathways, Low Income Students
Jing Liu; Julie Cohen – Annenberg Institute for School Reform at Brown University, 2020
Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers, but conventional classroom observations are costly, prone to rater bias, and hard to implement at scale. Using nearly 1,000 word-to-word transcriptions of 4th- and 5th-grade English language arts classes, we apply novel…
Descriptors: Grade 4, Grade 5, Language Arts, Elementary School Teachers
French, Brian F.; Finch, W. Holmes – Journal of Educational Measurement, 2015
SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error.…
Descriptors: Test Bias, Data, Simulation, Accuracy
Winer, Abby; Taylor, Cornelia; Derrington, Taletha; Lucas, Anne – Center for IDEA Early Childhood Data Systems (DaSy), 2015
This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and…
Descriptors: Program Improvement, Data Analysis, Documentation, Planning
Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
Bodner, Todd E. – Journal of Educational and Behavioral Statistics, 2016
This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…
Descriptors: Graphs, Multiple Regression Analysis, Predictor Variables, Correlation
Leavy, Aisling; Hourigan, Mairead – Teaching Statistics: An International Journal for Teachers, 2016
We argue that the development of statistical literacy is greatly supported by engaging students in carrying out statistical investigations. We describe the use of driving questions and interesting contexts to motivate two statistical investigations. The PPDAC cycle is use as an organizing framework to support the process statistical investigation.
Descriptors: Statistics, Statistical Analysis, Literacy, Questioning Techniques
Angra, Aakanksha; Gardner, Stephanie M. – Advances in Physiology Education, 2016
Research on graph interpretation and basic construction is extensive, and student difficulties, primarily in K-12 type settings, have been well documented [e.g., graph choice, labels for axes, variables, and scaling axes]. It is important to provide students with repeated opportunities to increase competency and practice critical reflection in…
Descriptors: Graphs, Instructional Materials, Guides, Data
Bentler, Peter M. – Measurement: Interdisciplinary Research and Perspectives, 2016
The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…
Descriptors: Causal Models, Factor Analysis, Prediction, Scores
Onwuegbuzie, Anthony J.; Weinbaum, Rebecca K. – Journal of Educational Issues, 2016
Recently, several authors have attempted to make the literature review process more transparent by providing a step-by-step guide to conducting literature reviews. However, although these works are very informative, none of them delineate how to display information extracted from literature reviews in a reader-friendly and visually appealing…
Descriptors: Literature Reviews, Visual Aids, Qualitative Research, Data Analysis
Johnson, Gerald – ProQuest LLC, 2016
With the increase in technology in all facets of our lives and work, there is an ever increasing set of expectations that people have regarding information availability, response time, and dependability. While expectations are affected by gender, age, experience, industry, and other factors, people have expectations of technology, and from…
Descriptors: Statistical Analysis, Differences, Data Processing, Computer Software
Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data

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