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How we let them drive: Developing dashboards to deliver multiple years of NSSE/FSSE data Our Process. Southern Association of Institutional Research 2010 Conference - New Orleans Monday, September 27th 4:15 p.m. - 5:00 p.m. Robin Logan, Director of Institutional Research
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How we let them drive:Developing dashboards to deliver multiple years of NSSE/FSSE dataOur Process • Southern Association of Institutional Research • 2010 Conference - New Orleans • Monday, September 27th • 4:15 p.m. - 5:00 p.m. • Robin Logan, Director of Institutional Research • Earl Harmsen, Faculty H-E-B School of Business • Michael Schulte, Graduate Research Assistant & Doctoral Candidate
4 year, Private, Catholic • Hispanic Serving Institution • Established 1881 by the Sisters of Charity of the Incarnate Word • Carnegie: Master’s L • San Antonio: 7th largest city in the US
Geri Hockfield Malandra. (2008) Accountability and learning assessment in the future of higher education. On the Horizon, 16(2), 57-71. Retrieved September 10, 2010, from proQuest Education Journals. (Document ID: 1484475591). Accountability and assessment have become prominent topics of institutional and public discussion
Gonyea, R. M., & Kuh, G. D. (Eds.). (2009). Editor’s note: Using NSSE in institutional research. New Directions for Institutional Research, 141, 1-4. DOI: 10.1002/ir.282 ...“increased visibility and importance of institutional research offices staffed by highly skilled and competent professionals who can provide campus leaders with objective, trustworthy data about student and institutional performance”
multiple years of data • NSSE 3 years + 2010 • FSSE 2 years + 2010 • "still in the binders" • various committees and assessment teams needed “meaningful” information • too much to comprehend all at one time
the challenge • multi-campus institution • 20 questions referenced in the QEP • QEP population for NSSE required filters to present the correct views with FSSE data • colleges requesting data specific to them
evaluate what had already been done • narratives... • lots of words! • lots of actions! • unclearmethodologies • data quality
NSSE Multi-Year Data Analysis Guide. (2010). Indiana University Center for Postsecondary Research. Retrieved September 23, 2010 from http://nsse.iub.edu/2010_Institutional_Report/pdf/NSSE%20MYDAG.pdf • Identify and focus on specific questions • Select and employ appropriate methods of analysis • Attend to data quality for each year in the analysis • Take into account changes in NSSE items and reports across years • Merge multiple years of data
how does IR...? • deliver what multiplestakeholders need • move towards “plug-and-play” • keep it simple • keep our sanity
Hughes, C. (2009). Framing the activities of institutions and academic development units in support of assessment. Innovations in Education and Teaching International, 46(2), 123-133. Retrieved September 10, 2010, from Research Library. (Document ID: 1796476001). • Universities demonstrate their commitment to enhancing and assuring the quality of assessment through the employment of a diverse array of initiatives.
FSSE ALL • QEP Combined File • NSSE ALL • NSSE UNIT • Tableau - known! • Interactive - for UNIT - known! • Data source created in MSExcel • One file or multiple files?
NSSE ALL • stacked data for multi-year comparison • check alignment of questions • add identifier columns (YR, FY/SY, GROUPS) • decision about experimental items from prior years
Means and Frequencies • Means ... well-intentioned, but not enough to present to the community • Frequency distributions... referenced for all but one benchmark in the QEP XLSX: NSSE ALL DATA
But what about question response rate? • But what about knowing which was used in the QEP? • But what about ...
NSSE UNIT • much easier • same basic steps • data for all responses - requires CALCS! • match to campus data for campus and college **not necessary with 2010 because it was institutional column
XLSX: NSSE UNIT LEVEL DATA • What do we include? • filters on the dashboard • QEP notations • benchmark notations
XLSX: NSSE UNIT LEVEL DATA • What do we include? • means and frequencies • response rate specifically for the question
What do we include? • static tables from NSSE ALL • comparison to NSSE, Master’s, and Peer Institutions XLSX: NSSE BENCHMARK DATA
FSSE ALL • Three concepts to consider: • those questions chosen for QEP • benchmark comparisons to NSSE • with • without
Going beyond the frequencies • *for those with NSSE crosswalks XLSX: FSSE DATA
XLSX: FSSE DATA XLSX: NSSE AGG QEP CALCS • Incorporating the QEP goals • Crosswalk comparison • Methodology • FSSE: Main Campus faculty only • NSSE: Data filtered to Main Campus respondents XLSX: FSSE CROSSWALK
Respondent Characteristics XLSX: PEER INSTITUTIONS XLSX: NSSE RESPONDENTS
End Result • FSSE • split into four workbooks because of size • QEP • limited to 20 questions • NSSE ALL • almost too big • NSSE UNIT • split into three interactive workbooks because of size
End Result • Worksheets: • NSSE Benchmarks • NSSE ALL Data • NSSE UNIT Data • Peer Institutions • NSSE Respondents • FSSE Crosswalk • FSSE Data • Data source: MSExcel • started with multiple files • transferred to a single multi-tabbed file
Moore, J. (2005). Seven recommendations for creating sustainability education at the university level: A guide for change agents. International Journal of Sustainability in Higher Education 6(4), 326-339. Retrieved September 10, 2010, from Research Library (Document ID: 929185721). Recommendation: integration of university plans, decision-making structures and evaluative measures and the integration of the research, service and teaching components of the university
Gonyea, R. M., & Kuh, G. D. (Eds.). (2009). Editor’s note: Using NSSE in institutional research. New Directions for Institutional Research, 141, 1-4. DOI: 10.1002/ir.282 ...“ascendance of student engagement and other process indicators that serve as both proxy measures for institutional quality and actionable information to inform improvement efforts.”
Robin Logan, Director of Institutional Research Earl Harmsen, Faculty H-E-B School of Business Michael Schulte, Graduate Research Assistant & Doctoral Candidate