IR Offi IR Office Web Sites: W b Sit Tips and Best Practices Tips - - PowerPoint PPT Presentation

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IR Offi IR Office Web Sites: W b Sit Tips and Best Practices Tips - - PowerPoint PPT Presentation

IR Offi IR Office Web Sites: W b Sit Tips and Best Practices Tips and Best Practices Katherine McGuire Di Director of Institutional Research t f I tit ti l R h Agnes Scott College Overview I. My perspective on and experiences with


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IR Offi W b Sit IR Office Web Sites: Tips and Best Practices Tips and Best Practices

Katherine McGuire Di t f I tit ti l R h Director of Institutional Research Agnes Scott College

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Overview

I. My perspective on and experiences with web design

  • II. Study of peer websites
  • III. Best practices principles for
  • III. Best practices principles for

IR site content derived from study of peers study of peers

  • IV. How to maximize use of your

website website

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  • I. Background and Perspectives
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Background and perspectives

  • Philosophical background:

“If it’s worth doing, it’s worth putting out there on the web.”

  • Reasons:

– IR data exist to be used – Creates atmosphere of p transparency – Can save you work on routine y requests

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Background and perspectives

  • Lessons learned from redesign
  • f two IR office websites

– Both had very different issues, but in both cases we pushed hard to move institutional culture towards more institutional culture towards more transparency – Institutional culture towards data, institutional priorities, and where IR fits in your hierarchy will influence your content and design choices y g

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What you can control and what you What you can control and what you can’t

  • Can’t control:

– Content management systems – Institutional routing policies

  • May control:

y

– Placement of your page in the web hierarchy

  • Can control:

– Content by and large Content, by and large – Organization

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  • II. Peer Websites Data
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What should go on my website?

Methodology

– Started with schools on our various peer lists peer lists – Looked through several of them to see what types of info were typically yp yp y

  • ut there

– Collected and analyzed data on which f h d i f f i t

  • f our peers had info of various types
  • n their websites

– Made note of sites which had unique Made note of sites which had unique features or were particularly well-done

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Overview of peers

  • 35 schools (including ASC) on our

various peer lists – 29 had IR web sites sites

  • 6 (17%) colleges had no dedicated

IR web site as far as we could tell IR web site as far as we could tell

  • Difficulty finding many of them

– In part due to institutional differences – In part due to institutional differences in IR location – Could be an indication of where IR and IR data fall as an institutional priority

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Structural Factors: The “Click” Factor

  • 25 of the 29 public sites (86%)

could be found from the college’s home page

  • Average number of clicks from

college homepage was 2.4(+/- 0.7)

  • 4 of the IR homepages (14%)

had to be found by a search had to be found by a search function

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Structural factors: Number of Structural factors: Number of categories on index page

  • Average is 5.3 +/- 2.3
  • Other than being a rough

g g measure of quantity of info, why does this matter?

– Economic psychology research shows that people have trouble making decisions when subjected to making decisions when subjected to too many choices – Perhaps related to fact that working p g memory is thought to be 7+/-2

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Overview of IR and the IR Office

  • 26 sites (90%) had a definition
  • f IR and/or an IR Office

mission statement

  • 20 (69%) had the names of the
  • ffice staff
  • 26 (90%) had contact

26 (90%) had contact information

  • Only 2 (7%) had a data
  • Only 2 (7%) had a data

request form

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Things

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Survey and data policy information

  • Only 3 of the sites (10%) had

some sort of official statement

  • f data policy (confidentiality,

when/how/to whom data are released, data integrity, etc.)

  • Seven of the sites (24%) had

information for survey researchers (IRB info, survey policies, survey calendar)

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Types of IR Data

  • 18 (62%) had some sort of

institutional summary (At-a- Glance/Quick Facts/Fact Sheet/About the College, etc.)

  • 21 (72%) had some kind of

Fact Book

  • 27 (93%) had a Common Data

Set Set

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Types of IR Data

  • 6 (21%) had Baccalaureate

Origins data or summary data

  • None had explicitly labeled

AAUP data

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Accreditation and accountability

  • 10 (35%) had

accreditation/reaccreditation/ self-study data

  • Only 3 (10%) had HEA or
  • ther accountability/right-to-

know data

  • Only 3 (10%) had strategic

plan or a link to strategic plan plan or a link to strategic plan

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Some other features

  • 13 (45%) had IR and/or

assessment resource links

  • Only 2 (7%) had a “What’s

New” section

  • 10 (35%) had password

protected items or sections protected items or sections

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A few other features worth noting

  • IR office calendar
  • Census date

definitions/policies

  • Peer lists

Peer lists

  • A few schools had their IPEDS

data online data online

  • Factoid/“Did you know?”
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III What Should Be Web Content

  • III. What Should Be Web Content

Best Practices?

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Things Most IR Sites Have

  • Staff listing (69%) and contact

info (90%)

  • Definition of IR (90%)
  • Common Data Set (93%)

Common Data Set (93%)

  • About/At-a-glance (62%)

Fact Book (72%)

  • Fact Book (72%)
  • Assessment survey data

(76%)

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Additional Things a Significant Additional Things a Significant Minority Have

  • Accreditation information

(35%)

  • Information for survey

researchers (24%)

  • Baccalaureate Origins (21%)
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Features Fewer Sites Have

  • Accountability data (10%)
  • Data policy statement (10%)

y ( )

  • Strategic plan (10%)
  • Data request form (7%)
  • Data request form (7%)
  • “What’s New” section (7%)
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Staff Size and Amount of Content

ff (f 2 ff

  • Average staff size (for 24 offices that

listed their staff) was 2.2 +/- 1.0

  • Average number of content features
  • Average number of content features
  • f those studied was 7.2 +/- 2.1 (out
  • f 16 total; maximum was 11)
  • There was a small but significant

positive correlation between staff size d # f i ( 2 0 416 and # of content items (r2 = 0.416, p = 0.043)

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  • IV. Maximizing Website Usage
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First Things First…

How many clicks are *you* off your school’s main site?

N mber of clicks is a big factor in ser – Number of clicks is a big factor in user frustration looking for data – How close you are to the main page y p g may be political—but doesn’t hurt to ask to be moved up At l t k i – At least make sure your page is searchable!

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How to make your site searchable (or How to make your site searchable (or at least findable)

  • Submit to web search engines:

www.google.com/addurl/ siteexplorer.search.yahoo.com/submit

  • Ask your webmaster about

search optimization strategies

  • Ask other offices on campus to

link to your site

  • Submit to AIR website

Submit to AIR website

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Parting thoughts…

“All truths are easy to understand

  • nce they are discovered; the point

is to discover them ” Galileo is to discover them. - Galileo Galilei “To design is to communicate clearly To design is to communicate clearly by whatever means you can control or master.” - Milton Glaser “It is not about you or me, it is about the user.” - Thomas Vander Wal"

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Acknowledgements

  • Tori Bell, Class of 2012, Work

Study Student, President’s Office

  • Jillian Pilch, Class of 2011,

Research Assistant, IR Office

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