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Using SPSS to Report NSSE Data: Transform Your Analyses and Save Time with SPSS

Using SPSS to Report NSSE Data: Transform Your Analyses and Save Time with SPSS. Regional NSSE User’s Workshop October 2006. Rick Shoup, Research Analyst Center for Postsecondary Research, Indiana University Bloomington. Goals. Identify key components of the NSSE datafile

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Using SPSS to Report NSSE Data: Transform Your Analyses and Save Time with SPSS

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  1. Using SPSS to Report NSSE Data: Transform Your Analyses and Save Time with SPSS Regional NSSE User’s Workshop October 2006 Rick Shoup, Research Analyst Center for Postsecondary Research, Indiana University Bloomington

  2. Goals • Identify key components of the NSSE datafile • Introduce users to SPSS command syntax • Expose users to less commonly used SPSS functions • Highlight how SPSS can save time • Demonstrate practical application of SPSS to generate customized NSSE reports • Make NSSE data more accessible

  3. NSSE Datafile • Core survey items • Administration fields • Institution-provided flags • Student-level benchmark indices and weights • Codebook and SPSS labels/values as references

  4. Graphic User Interface (GUI) • “Point-and-click” environment • Front-end interface that automatically generates command syntax • Most GUI processes can be “pasted” to the syntax editor

  5. Command Syntax • Powerful command language provided by SPSS • Runs “behinds the scenes” • Rendered in the third major SPSS window – the Syntax Editor

  6. Scripts • SPSS scripts program tasks that cannot be done with command syntax, including: • Scripts use Sax Basic programming language • Scripts are created and modified in the fourth major SPSS window, the script window • Bold lines in a report • Print reports • Save output

  7. Basic SPSS functions • Opening files • Creating variables • Specifying variable and value labels/formats • Frequencies • Crosstabulations

  8. Advanced SPSS functions • Ctables • Scripts • OMS

  9. Walk-Through We want to build a report that presents a side-by-side comparison of the Student-Faculty Interaction items for your institution’s Arts & Humanities, Biology, and Education Students.

  10. Your Turn! • Develop a frequency report that shows only female (gender = 2) Arts & Humanities, Business, and Social Science students side-by-side. • Use only the Academic Challenge items: • (workhard, analyze, synthesz, evaluate, applying) • Also save a copy of the report in MS Excel but don’t include Business results. • Use a script to bold the “total” row in the SPSS output.

  11. Summary • IR offices are often under pressure to produce customized reports FAST • SPSS syntax can standardize most institutional research demands and alleviate drudgery • Use your imagination—syntax can be used in many different ways

  12. References • Levesque, R. (2003). SPSS Programming and Data Management. A Guide for SPSS and SAS Users. Chicago, IL: SPSS Inc. • www.spsstools.net • Programming with SPSS Scripts – An SPSS Training Manual • SPSS User Manuals & Command Syntax Reference

  13. For More Information Email: tshoup@indiana.edu website: http://www.nsse.iub.edu

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