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Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
Chudagr, Amita; Luschei, Thomas F. – Education Policy Analysis Archives, 2016
The objective of this commentary is to call attention to the feasibility and importance of large-scale, systematic, quantitative analysis in international and comparative education research. We contend that although many existing databases are under- or unutilized in quantitative international-comparative research, these resources present the…
Descriptors: Information Sources, International Education, Comparative Education, Educational Policy
Carroll, Thomas; Assane, Djeto; Busker, Jared – Journal of Economic Education, 2014
In this article, the authors use a large, recent, and accessible data set to examine the effect of economics major on individual earnings. They find a significant positive earnings gain for economics majors relative to other majors, and this advantage increases with the level of education. Their findings are consistent with Black, Sanders, and…
Descriptors: Majors (Students), Economics, Economics Education, Salary Wage Differentials
McFarland, Joel; Stark, Patrick; Cui, Jiashan – National Center for Education Statistics, 2016
Dropping out of high school is related to a number of negative outcomes. For example, the median income of persons ages 18 through 67 who had not completed high school was roughly $26,000 in 2013. By comparison, the median income of persons ages 18 through 67 who completed their education with at least a high school credential (i.e., a regular…
Descriptors: Educational Trends, Trend Analysis, High School Graduates, Dropout Rate
Arthurs, Nikie; Patterson, Jonathan; Bentley, Alex – Urban Review: Issues and Ideas in Public Education, 2014
This article, written by three research-active teachers with the support of their academic partner, interrogates the achievement-attendance link in the most recent government quantitative data for secondary schools in England: persistent absentees stands at 6.6% for all children, but it raises to 9% for students who are classed as "Pupil…
Descriptors: Academic Achievement, Attendance, Secondary School Students, Statistical Analysis
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Miller, Nathan B. – Journal of Continuing Higher Education, 2014
The prominence of discourse on postsecondary degree completion, student persistence, and retention has increased in the national dialogue. Heightened attention to college completion rates by the federal government and pressure to tie state funding to performance metrics associated with graduation rates are catalysts for the discussion.…
Descriptors: Benchmarking, Graduation Rate, Nontraditional Students, Postsecondary Education
National Center for Education Statistics, 2010
Over the last decade, increased attention on education has led to an expansion in the amount of information on students and their schools and school districts reported to parents and the general public (20 U.S.C. Section 6311). States now report student outcomes based on assessments of student achievement in specific subjects and grade levels for…
Descriptors: Confidentiality, Student Records, Statistical Analysis, Disclosure
White, Katherine; Wood, Maria – Journal of Community Psychology, 2011
This study examined the psychosocial factors impacting upon the rule-following behaviour of residents of a hostel providing crisis accommodation to women who are homeless. After their arrival, residents of a women's hostel (N=83) completed questionnaires assessing the theory of planned behaviour constructs of attitude, subjective norm, perceived…
Descriptors: Homeless People, Females, Questionnaires, Statistical Data
Crissey, Sarah R.; Bauman, Kurt J. – US Census Bureau, 2012
The Census Bureau has historically grouped high school diploma holders along with those who hold "high school equivalent" credentials. Among these is the credential earned through successfully passing the General Education Development (GED) test. Interest in identifying those with GEDs has recently increased, in part from debate within…
Descriptors: Credentials, High Schools, Educational Attainment, Census Figures
Kaplan, David; Turner, Alyn – OECD Publishing (NJ1), 2012
The OECD Program for International Student Assessment (PISA) and the OECD Teaching and Learning International Survey (TALIS) constitute two of the largest ongoing international student and teacher surveys presently underway. Data generated from these surveys offer researchers and policy-makers opportunities to identify particular educational…
Descriptors: Outcomes of Education, Teacher Surveys, Policy Analysis, Educational Change
Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
Ellis, Edwin S.; Wills, Stephen; Deshler, Donald D. – Journal of Education, 2011
An analysis of the rationale and theoretical foundations of the Genius Discipline-specific Literacy Model and its use of SMARTvisuals to cue information-processing skills and strategies and focus attention on essential informational elements in high-frequency topics in history and the English language arts are presented. Quantitative data…
Descriptors: Gifted, Literacy, Models, Information Processing
Mitchell, Douglas E.; Batie, Michael; Mitchell, Ross E. – Urban Education, 2010
This article examines a half century of housing and school segregation data in two large California school districts. Based on a review of both the methods and the substantive data available tracking the relationship between school and housing integration, the study reported here shows that very substantial school-level integration in these two…
Descriptors: School Desegregation, School Segregation, Housing, Urban Areas
Ewert, Stephanie – US Census Bureau, 2012
The relationship between educational attainment and economic outcomes is shaped by a variety of educational experiences, including field of training, length of time spent in school, and level of attainment. This report explores the relationship between educational attainment, field of training, and eventual occupation and earnings. The report also…
Descriptors: Educational Development, Economic Status, Educational Attainment, Educational Experience