How to be your own one-stop data shop! Eva Eisnaugle Assistant Director, Institutional Research Pfeiffer University

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Presentation transcript:

How to be your own one-stop data shop! Eva Eisnaugle Assistant Director, Institutional Research Pfeiffer University

 IPEDS ◦ Completions and 12 month enrollment (fall) ◦ Student Financial Aid (winter) ◦ Fall Enrollment, GRS, GRS200%, Finance, HR (spring)  NCHEDS ◦ Tuition Fees and Charges, Summer School Enrollment, Degree Credit Enrollment (Oct) ◦ New UG Transfers, Home base of Students, Headcount enrolled by Age, Student Financial Aid Summary, Student Housing, Admissions Practices, FT Faculty, Type of Instruction (Nov)

 IPEDS ◦ Completions and 12 month enrollment (fall)  NCHEDS ◦ Degree Credit Enrollment (Oct)

 To gain a better understanding of where your institutional data resides  To better understand the relationship between tables in databases  To be able to be an advocate for data quality  In cases of GIGO, to help your institution become more efficient (why spend 40% of reporting time cleaning up data first?)  To have more control over your workload (Oct/Nov and Mar/Apr deadline heavy!)

 ‘How to ODBC’ word document- keep this for your reference  These are steps you will need to perform on your laptop on your network  We can review them now so you have a sense of what steps to take- but if this is something you want to do then don’t forget to go back and reference the How-To document once you get back to work

Use import from excel tool to get all these excel sheets into Access:

 Let’s first consider IPEDS Completions: ◦ Gender, Ethnicity, Award Level, First and Second Major Name, CIP Code, and Date Degree Conferred.

Degree needs to have been earned on or between 7/1/2010 and 6/30/2011:  >#6/30/2010# And <#7/1/2011# We need to report on first and second majors AND- ethnicity is voluntarily reported- so everyone may not have a record

Do you have 627 first majors? How many bachelor level females graduated this year? What would you do at this point with the results?

 Gender, ethnicity, academic division, hours enrolled, enrolled in for-credit courses (unduplicated headcount)

 Similar to IPEDS 12 month completion, but based only on Fall enrollment and need to know full-time/part-time status of students as well.

 The more you work with the data, the easier it gets  Fun to get another coworker involved so you can see if you both get the same results  Helps to keep an excel sheet of table names and fields