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 Pub Number  Title  Date
REL 2016126 Stated Briefly: Who will succeed and who will struggle? Predicting early college success with Indiana’s Student Information System
This "Stated Briefly" report is a companion piece that summarizes the results of another report of the same name. This study examined whether data on Indiana high school students, their high schools, and the Indiana public colleges and universities in which they enroll predict their academic success during the first two years in college. The researchers obtained student-level, school-level, and university-related data from Indiana's state longitudinal data system on the 68,802 students who graduated high school in 2010. For the 32,564 graduates who first entered a public 2-year or 4-year college, the researchers examined their success during the first two years of college using four indicators of success: (1) enrolling in only nonremedial courses, (2) completion of all attempted credits, (3) persistence to the second year of college, and (4) an aggregation of the other three indicators. HLM was used to predict students' performance on indicators using students' high school data, information about their high schools and information about the colleges they first attended. Half of Indiana 2010 high school graduates who enrolled in a public Indiana college were successful by all indicators of success. College success differed by student demographic and academic characteristics, by the type of college a student first entered, and by the indicator of college success used. Academic preparation in high school predicted all indicators of college success, and student absences in high school predicted two individual indicators of college success and a composite of college success indicators. While statistical relationships were found, the predictors collectively only predicted less than 35 percent of the variance. The predictors from this study can be used to identify students who will likely struggle in college, but there will likely be false positive (and false negative) identifications. Additional research is needed to identify other predictors--possibly non-cognitive predictors--that can improve the accuracy of the identification models.
2/17/2016
NCEE 20154014 National Longitudinal Transition Study Data Files
This data file contains data from the National Longitudinal Transition Study (NLTS). NLTS was launched in 1987 to examine the characteristics and school experiences of youth with disabilities transitioning from secondary school to early adulthood. The longitudinal study includes a nationally representative sample of over 8,000 secondary special education students ages 13 to 21 (in the 1985-86 school year), drawn to represent youth in each of the federal special education disability categories. NLTS data were first gathered in 1987 (wave 1) and again in 1990-91 (wave 2) to examine youths' experiences through secondary school and into their early adult years. In this file, data from the publicly available dataset are mapped to the original data collection instruments and recoded to their original format to make it possible to examine trends across studies.
7/31/2015
NCES 2015144 The Condition of Education 2015
The Condition of Education 2015 summarizes important developments and trends in education using the latest available data. The report presents 42 indicators on the status and condition of education. The indicators represent a consensus of professional judgment on the most significant national measures of the condition and progress of education for which accurate data are available. In addition, 3 spotlight indicators are featured that describe selected issues of current policy interest.
5/28/2015
NCES 2015011 Digest of Education Statistics, 2013
The 49th in a series of publications initiated in 1962, the Digest's purpose is to provide a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. The Digest contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to educational attainment, finances, and federal funds for education, libraries, and international comparisons.
5/7/2015
REL 2015078 Who will succeed and who will struggle? Predicting early college success with Indiana’s Student Information System
This study examined whether data on Indiana high school students, their high schools, and the Indiana public colleges and universities in which they enroll predict their academic success during the first two years in college. The researchers obtained student-level, school-level, and university-related data from Indiana's state longitudinal data system on the 68,802 students who graduated high school in 2010. For the 32,564 graduates who first entered a public 2-year or 4-year college, the researchers examined their success during the first two years of college using four indicators of success: (1) enrolling in only nonremedial courses, (2) completion of all attempted credits, (3) persistence to the second year of college, and (4) an aggregation of the other three indicators. HLM was used to predict students' performance on indicators using students' high school data, information about their high schools and information about the colleges they first attended. Half of Indiana 2010 high school graduates who enrolled in a public Indiana college were successful by all indicators of success. College success differed by student demographic and academic characteristics, by the type of college a student first entered, and by the indicator of college success used. Academic preparation in high school predicted all indicators of college success, and student absences in high school predicted two individual indicators of college success and a composite of college success indicators. While statistical relationships were found, the predictors collectively only predicted less than 35 percent of the variance. The predictors from this study can be used to identify students who will likely struggle in college, but there will likely be false positive (and false negative) identifications. Additional research is needed to identify other predictors--possibly non-cognitive predictors--that can improve the accuracy of the identification models.
3/31/2015
REL 2015060 Stated Briefly: Participation and Pass Rates for College Preparatory Transition Courses in Kentucky
This study examines Kentucky high school students' participation and pass rates in college preparatory transition courses, voluntary remedial courses in math and reading offered to grade 12 students. These courses are targeted to students scoring just below the state’s college readiness benchmarks on the ACT in grade 11. The study found that: participation was nearly four times higher in math transition courses than in reading transition courses; more than half of students who participated in a math transition course were from the targeted group, compared with about a third of students who participated in a reading transition course; overall pass rates were 93 percent in math and 97 percent in reading; and participation was at least three times higher in nonurban schools than in urban schools. This "Stated Briefly" report is a companion piece that summarizes the results of another report of the same name (REL 2014–009).
1/6/2015
REL 2015053 College Enrollment and Persistence in Rural Pennsylvania Schools
The purpose of this study was to examine the college enrollment and persistence rates of rural high schools in Pennsylvania; the types of postsecondary institutions in which students from such schools enroll; and the student, school, and college characteristics associated with enrollment and persistence outcomes. The study used extant data from the National Student Clearinghouse, the National Center for Education Statistics, and the Pennsylvania Department of Education. In phase I, descriptive statistics were conducted to compare rural and non-rural immediate and delayed college-going rates, persistence rates, and types of postsecondary enrollment. In phase II, variations among Pennsylvania rural schools with higher and lower college-going rates were examined by grouping schools into quartiles based on college enrollment rates, then comparing the characteristics of the different quartiles. In phase III, multivariate logistic regression analyses were conducted to examine the individual and combined influence of student-, school-, and college-level variables on college enrollment and persistence rates. Results indicate that rural high schools have higher rates of enrollment than city schools, but lower rates than suburban and town schools; rural schools located in closer proximity to urban areas have better postsecondary outcomes than more remote rural schools; rural schools with higher rates of economically disadvantaged students tend to have lower enrollment and persistence rates; and, regardless of locale, Pennsylvania high schools send the large majority of their students to public 4-year colleges and in-state colleges. Results suggest that the lower enrollment and persistence rates are associated with factors identified in the literature as key influences, particularly poverty. Educators and policymakers should focus attention on economically disadvantaged rural students to improve college enrollment and persistence.
10/14/2014
REL 2014042 The College Readiness Data Catalog Tool: User Guide
The College Readiness Data Catalog Tool and User Guide enable states, districts and other educational entities to assess the presence of college readiness indicators in extant data sets and identify gaps that may present challenges in developing future indicator systems. The College Readiness Data Catalog tool is a flexible Excel workbook that provides a shell for organizing and tracking student data relevant for measuring college readiness. The user guide also includes a sample data catalog summary report and a template for a data catalog summary report. Created by REL Northeast and Islands for the US Virgin Islands College and Career Readiness Research Alliance, the tool may be used by any educational organization to determine whether it has sufficient data to study college readiness indicators.
9/24/2014
NCES 2014083 The Condition of Education 2014
The Condition of Education 2014 summarizes important developments and trends in education using the latest available data. The report presents 42 indicators on the status and condition of education. The indicators represent a consensus of professional judgment on the most significant national measures of the condition and progress of education for which accurate data are available.
5/28/2014
NCES 2014017 Services and Support Programs for Military Service Members and Veterans at Postsecondary Institutions, 2012-13
This report provides descriptive national data on the prevalence and characteristics of services and support programs for military service members and veterans at postsecondary institutions in the United States. The study presented in this report collected information for the 12-month 2012–13 academic year from postsecondary institutions on the services and programs offered to all military service members and veterans enrolled for credit, and dependents receiving military or veteran’s financial education benefits.
2/27/2014
NCES 2014015 Digest of Education Statistics, 2012
The 48th in a series of publications initiated in 1962, the Digest's purpose is to provide a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. The Digest contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to educational attainment, finances, and federal funds for education, libraries, and international comparisons.
12/31/2013
NCES 2013037 The Condition of Education 2013
The Condition of Education 2013 summarizes important developments and trends in education using the latest available data. The report presents 42 indicators on the status and condition of education, in addition to Spotlights that look more closely at 4 issues of current interest. The indicators represent a consensus of professional judgment on the most significant national measures of the condition and progress of education for which accurate data are available.
5/23/2013
NCES 2012046 Higher Education: Gaps in Access and Persistence Study
The Higher Education: Gaps in Access and Persistence Study is a congressionally-mandated statistical report that documents the scope and nature of gaps in access and persistence in higher education by sex and race/ethnicity. The report presents 46 indicators grouped under seven main topic areas: (1) demographic context; (2) characteristics of schools; (3) student behaviors and afterschool activities; (4) academic preparation and achievement; (5) college knowledge; (6) postsecondary education; and (7) postsecondary outcomes and employment. In addition, the report contains descriptive multivariate analyses of variables that are associated with male and female postsecondary attendance and attainment.
8/28/2012
NCES 2012345 Trends Among Young Adults Over Three Decades, 1974-2006
This report describes patterns of continuity and change over time in four areas of the transition to adulthood among young adults as measured 2 years after their senior year of high school. The four areas are postsecondary enrollment, labor force roles, family formation, and civic engagement. The analysis population is spring-term high school seniors in 1972, 1980, 1992, and 2004. The data come from four separate NCES sponsored studies: the National Longitudinal Study of the High School Class of 1972 (NLS:72), High School and Beyond (HS&B), the National Education Longitudinal Study of 1988 (NELS:88), and the Education Longitudinal Study of 2002 (ELS:2002).
7/17/2012
NCES 2012001 Digest of Education Statistics, 2011
The 47th in a series of publications initiated in 1962, the Digest's primary purpose is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. The Digest contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to educational attainment, finances, and federal funds for education, libraries, and international comparisons.
6/13/2012
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