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Karen Webber Associate Professor, The Institute of Higher Education, UGA Presentation for HEISEE, June 6, 2013 Using National Data for.

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Presentation on theme: "Karen Webber Associate Professor, The Institute of Higher Education, UGA Presentation for HEISEE, June 6, 2013 Using National Data for."— Presentation transcript:

1 Karen Webber Associate Professor, The Institute of Higher Education, UGA Presentation for HEISEE, June 6, 2013 Using National Data for Decision Support in US Colleges and Universities

2 Institutional Research Institutional Effectiveness Quality Assurance Planning and Research KWebber HEISEE 2013

3 Institutional Research A focus on: the collection, analysis, and reporting of information that leads to improved understanding, planning, and operating of institutions of higher education KWebber HEISEE 2013

4 Data Collection and Use of Data Very helpful for institutional planning, quality assurance Can be used for benchmarking May start small, informal As more institutions get involved, grows larger, may take on formal procedures Critical to have good infrastructure/technology Critical to have definitions to ensure consistency KWebber HEISEE 2013

5 Institutional or System Database(s) Student Data Addresses, enrolment qualifying scores, course grades, etc HR Data Address, phone, faculties group, etc Finance Tuition & fees, E&G expenditures, salary & benefits Facilities # buildings, sq ft figures, equipment, Central data repository or Data Warehouse KWebber HEISEE 2013

6 Who Uses National/Regional Data and Why? Many with Inquiring Minds: – Institutional Research/academic planning officials – Educational researchers – Graduate students – Legislators – Policy Analysts Why? – Academic/administrative planning within an institution – Assessment; evidence of meeting goals, strategic plans – Scholarly inquiry – Policy, budget planning – Generalizable; reliable, good for policy considerations KWebber HEISEE 2013

7 Some data systems for higher education Australia – Higher Education Statistics Collection OverviewOfHigherEducationStatisticsCollections.aspx – HERDC tionResearchDataCollection.aspx South Africa – CHE and HEMIS – EUMIDA – UK – HESA – – Middle East, Latin America – beginning KWebber HEISEE 2013

8 Data Systems for Higher Education EU – OECD Statistics and Data Lab – Eurostats – The World Bank data – World Higher Education Database Online – Croatia – – Croatian Bureau of Statistics, IDIZ, IED, CEP, ? Institutions, others US – IPEDS, NCES, NSF KWebber HEISEE 2013

9 U.S. Department of Education Mission – to ensure equal access to education and to promote educational excellence throughout the nation. Supplements and complements the efforts of states, local school systems and other instrumentalities of states, private sector, public and private nonprofit educational research institutions, community-based organizations, parents, and students to improve the quality of education. KWebber HEISEE 2013

10 U.S. Department of Education Establishes policies on federal financial aid (distributes and monitors those funds) Collects data on America's schools and distributes research via reports and in some cases, datasets Focuses national attention on key educational issues Prohibits discrimination and ensures equal access to education KWebber HEISEE 2013

11 National Center for Education Statistics (NCES) NCES is the primary Federal agency responsible for the collection, analysis, and the reporting of data related to education in the United States KWebber HEISEE 2013

12 National Center for Education Statistics (NCES) On the web… Monitoring Programs Publications Collecting Data KWebber HEISEE 2013

13 Educational Level – Early childhood – Primary/secondary – Postsecondary Type of Data – Cross-sectional – Longitudinal Unit of Analysis – Individual Student or Faculty member – School (institution) KWebber HEISEE 2013

14 NCES Data Sets IPEDS (Integrated Postsecondary Education Data System) Baccalaureate & Beyond (B&B) Beginning Postsecondary Students Longitudinal Study (BPS) Career/Technical Education Statistics (CTES) High School & Beyond (HS&B) National Longitudinal Study of 1972 (NLS) National Postsecondary Study of Financial Aid (NPSAS) National Study of Postsecondary Faculty (NSOPF) Postsecondary Education Transcript Collection (PETS) Interagency Expanded Measures Enrollment & Attainment (GEMEnA) Statewide Longitudinal Data Systems Grant Program (SLDS) Postsecondary Education Descriptive Analysis Rpts (PEDAR) Postsecondary Education Quick Information System (PEQIS) KWebber HEISEE 2013

15 Data Access Both NCES and NSF have some publicly-available data And some restricted access files KWebber HEISEE 2013

16 Data Tools from NCES Executive Peer Tool (ExPT) Peer Analysis System (PAS) Powerstats and Data Analysis System (DAS) KWebber HEISEE 2013

17 Short Demonstration KWebber HEISEE 2013



20 National Science Foundation – Nat Center for Science & Engineering Statistics (NCSES) The responsibilities of NCSES have been broadened from those of the former Division of Science Resources Statistics. Data collections related to U.S. competitiveness and STEM education are part of these new responsibilities. NCSES is responsible for statistical data on the following: – Research and development – The science and engineering workforce – U.S. competitiveness in science, engineering, technology, and R&D – The condition and progress of STEM education in the United States Core Activities. As one of 13 federal statistical agencies, NCSES designs, supports, and directs periodic national surveys and performs a variety of other data collections and research. The America COMPETES Reauthorization Act codifies the role of NCSES in supporting research using the data that it collects and its role in research methodologies related to its work. The legislation specifies the responsibilities of NCSES in supporting the education and training of researchers who use large-scale data sets, such as the ones NCSES now collects. The following activities form the core of NCSES work: The collection, acquisition, analysis, reporting, and dissemination of statistical data related to the United States and other nations Support of research that uses NCSES data Methodological research in areas related to its work Education and training of researchers in the use of large-scale nationally representative data sets KWebber HEISEE 2013

21 NSF - NCSES Each year produces about 30 publications, which can be roughly divided into the following categories: InfoBriefs highlighting results from recent surveys and analyses; Detailed Statistical Tables (DSTs) containing extensive tabulated data from a particular survey; Periodic "overview" reports, such as Science and Engineering Indicators and Women, Minorities, and Persons With Disabilities in Science and Engineering; andScience and Engineering IndicatorsWomen, Minorities, and Persons With Disabilities in Science and Engineering Special reports, such as Interstate Migration Patterns of Recent Recipients of Bachelor's and Master's Degrees in Science and Engineering and Gender Differences in the Careers of Academic Scientists and Engineers.Interstate Migration Patterns of Recent Recipients of Bachelor's and Master's Degrees in Science and EngineeringGender Differences in the Careers of Academic Scientists and Engineers KWebber HEISEE 2013

22 NSF Data Tools WebCASPAR and SESTAT provides easy access to a large body of statistical data resources for science and engineering (S&E) at U.S. academic institutions. emphasizes S&E, but its data resources also provide some information on non- S&E fields and higher education in general. KWebber HEISEE 2013

23 These Data Are Useful Intra- and inter-institutional data comparisons Monitor institutional progress, help with decisions Help national leaders monitor US higher education broadly – Reports and other information to the public KWebber HEISEE 2013

24 Data Used on Campus Ad hoc or regular, on-going reports to senior administrators (e.g., deans, rectors, vice rectors) Institution Fact Book KWebber HEISEE 2013

25 Also used for analytic studies Almost endless number of good research questions can be generated Examples: – Student access to higher education, graduate school Student demographics, location, type institution – Effects of financial aid on student completion – Where/what do degree recipients go/do after graduation? – What is relationship between financial allocations and institutional outcomes KWebber HEISEE 2013

26 In US- a current focus on student financial aid Example Research Studies

27 Study on graduate student financial aid debt (Belasco, Trivette, & Webber, 2013) NPSAS data 2000 and 2008 About 49% all graduate students borrowed for school in 2008; increased to 59% in 2008 Mean debt $42,000 in 2008 Higher for doctoral and professional students, but more masters More debt incurred by Black and Hispanic, less for Asian than white students KWebber HEISEE 2013

28 Also a focus on degree completion

29 Study on benefits of the earned doctorate (Webber et al, 2013) Using NSFs Survey of Doctorate Recipients: What individual economic benefits accrue for doctoral degree recipients from the time of doctorate graduation (1998-99) to the present time (2008)? Are there differences in the economic benefits resulting from debt assumed and sources of financial support during degree enrollment? What effect does time to degree completion have on the economic benefits obtained by doctoral degree recipients? KWebber HEISEE 2013

30 Source: Survey of Doctorate Recipients, National Science Foundation KW study on benefits of the earned doctorate KWebber HEISEE 2013

31 Interest in faculty work and faculty productivity

32 Study on Postsecondary Faculty (Webber, 2012) Using 2004 National Study of Postsecondary Faculty: What factors contribute to a faculty members research productivity Are there differences in productivity for US- vs. Foreign-Born faculty/academic staff KWebber HEISEE 2013

33 Results from NSOPF study KWebber HEISEE 2013

34 Results from NSOPF:04 Born in US N=2990* Foreign-Born N=1190 MeanSDMeanSD p % Time on Research32.8322.20539.4321.926 ** % Time on UG Instruction30.9626.83924.4723.163 ** % Time on Graduate Instruct22.3719.83423.5617.183 % Time Other Activities13.8512.88012.5512.437 ** Student Credit Hours Generated227.76269.761184.70206.012 ** Annual Salary Base salary$78,277$34,453$79,936$33,677 Total annual income$95,726$46,423$94,540$43,154 Time Allocations and Salary by US- V. Foreign-Born Status KWebber HEISEE 2013

35 Growing Discussions About Postdoctoral Researchers KWebber HEISEE 2013

36 Study on postdoctoral researchers (Yang & Webber, 2013) Does the choice to take a postdoctorate research experience affect career path? Does taking a postodoctorate research experience affect productivity or salary a decade later? KWebber HEISEE 2013

37 Results on postdoc study Taking one or more postdoc appointments significantly increased likelihood of going to education sector and earning a tenure-track faculty appointment Take one postdoc increases productivity, but two or more does not add more Taking postdoc does not affect salary 10 years later KWebber HEISEE 2013

38 Questions, Discussion Questions on IPEDS? What are the most pressing questions that you have that would be better answered with data similar to IPEDS? What are the obstacles to inter- institution data collection in Croatia? KWebber HEISEE 2013

39 Critical Elements Good data infrastructure Data definitions to ensure consistency KWebber HEISEE 2013

40 This may be of interest Principles and Practices for a Federal Statistical Agency Constance F. Citro and Miron L. Straf, Editors Committee on National Statistics; Division on Behavioral and Social Sciences and Education; National Research Council, 2013. KWebber HEISEE 2013

41 Principles for a federal statistical agency (Citro & Straf, Eds., 2013) Relevance to policy issues Credibility among data users Trust among data providers Independence from political and other undue external influence KWebber HEISEE 2013

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