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Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
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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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Skelly, JoAnne; Hill, George; Singletary, Loretta – Journal of Extension, 2014
Extension professionals often assess community needs to determine programs and target audiences. Data can be collected through surveys, focus group and individual interviews, meta-analysis, systematic observation, and other methods. Knowledge gaps are identified, and programs are designed to resolve the deficiencies. However, do Extension…
Descriptors: Needs Assessment, Data Analysis, Community Needs, Extension Education
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Lin, E.; Balogh, R.; Cobigo, V.; Ouellette-Kuntz, H.; Wilton, A. S.; Lunsky, Y. – Journal of Intellectual Disability Research, 2013
Background: Individuals with intellectual and developmental disabilities (IDD) experience high rates of physical and mental health problems; yet their health care is often inadequate. Information about their characteristics and health services needs is critical for planning efficient and equitable services. A logical source of such information is…
Descriptors: Mental Retardation, Developmental Disabilities, Disability Identification, Data Analysis
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Drezner, Noah D.; Gupta, Anubha – Journal of Negro Education, 2012
Allegations and assumptions of fiscal mismanagement at historically Black colleges and universities (HBCUs) have existed since their founding and continue today. There is little evidence that these claims, fueled by the media, legislatures, and often accrediting agencies, are actually truer than fiscal mismanagement at predominantly White…
Descriptors: Black Colleges, Accountability, Audits (Verification), Racial Differences
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An, Sunghee; Roessler, Richard T.; McMahon, Brian T. – Rehabilitation Counseling Bulletin, 2011
This study reports findings from an analysis of employment allegations and resolutions maintained in the U.S. Equal Employment Opportunity Commission (EEOC) database. Spanning the years 1992 to 2005, the data were aggregated for individuals with psychiatric disabilities and individuals with a variety of physical, sensory, and neurological…
Descriptors: Comparative Analysis, Work Environment, Psychiatry, Disability Discrimination
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Bryan, Julia; Moore-Thomas, Cheryl; Day-Vines, Norma L.; Holcomb-McCoy, Cheryl; Mitchell, Natasha – Journal of School Counseling, 2009
Data from the National Education Longitudinal Study of 1988-2000 (NELS: 88) were used to examine the characteristics of students who see their school counselor about general, academic, career, and academic issues. Study results indicated that overall, school counselors were more likely to have contact with students who are identified as at-risk…
Descriptors: Counseling Services, School Counseling, School Counselors, Student Characteristics
Dahl, Gordon; Lochner, Lance – Institute for Research on Poverty, 2009
Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…
Descriptors: Family Income, Academic Achievement, Evidence, Tax Credits
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Duggan, Sandra; And Others – Journal of Research in Science Teaching, 1996
Reports research concerning the definition of variables by pupils ages 12 to 14 during investigative work. Findings suggest that an increase in the complexity of an investigation lowers the ability to identify relevant variables and substantive concepts intrude on the ability to define the appropriate dependent variable and to control variables.…
Descriptors: Data Analysis, Data Interpretation, Foreign Countries, Investigations
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Herzog, Serge – New Directions for Institutional Research, 2006
Focusing on student retention and time to degree completion, this study illustrates how institutional researchers may benefit from the power of predictive analyses associated with data-mining tools. The following are appended: (1) Predictors; and (2) Variable Definitions. (Contains 5 figures.)
Descriptors: School Holding Power, Time to Degree, Institutional Research, Academic Persistence
Cavenaugh, Brenda S. – 1999
This report discusses the outcomes of a study that investigated differences in vocational rehabilitation (VR) services (expenditures, number, and duration) and outcomes (competitive sector placement and earnings) of consumers designated as legally blind in states with separate or combined (cross-disability) agencies. The sample included 35,396…
Descriptors: Adults, Agencies, Blindness, Data Analysis
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