University Library Questionnaire and Instructions · 125
The maximum number of ranks reported here must not exceed the maximum number of rank-
levels reported in Part I for individual data under Rank structure. When counting the total
number of rank levels, include ranks that may be unoccupied at the present time due to
circumstances like unusually high turnover, hiring freezes, etc.
9. “Percent” is used to determine if an employee works full-time or part-time. All full-time
employees have Percent = 1.00, i.e., they work 100% of a full-time schedule. If Percent is less than
1.00, then the employee works that fraction of a full-time schedule. For example, a 65% time
appointment would be entered as 0.65. Calculate the percent appointment by dividing the amount
of time an employee works by the amount considered to be the norm for full-time employment at
your institution. For example, if a full-time appointment at your institution is 12 months at 40
hours per week:
o A 9-month part-time appointment has Percent = 9/12, or 0.75.
o An appointment at 30 hours per week has Percent = 30/40, also 0.75.
o An appointment at 30 hours and 9 months has Percent = 0.75 x 0.75 = 0.56.
o Enter Percent with two decimal points.
10. Working Job Title. Please list the Working Job Title for each employee. The working job title
is typically the job title used in the job announcement. It denotes something about the content of
the job. For example, if an individual serves as the Liaison for the Geography Department on
campus, the working job title may be "Subject Liaison, Geography" or "Subject
Librarian, Geography" or "Subject Liaison Librarian", etc. Please list the Working Job Title rather
than the rank title of "Librarian I" or "Assistant Librarian".
Optional Questions: (The last six columns of the spreadsheet.)
Please complete as much of this section as possible (US libraries only), but do not hold up the
reporting process if some of the data requested are not available. Canadian libraries should leave
these columns blank. The major change in the revised standard for the classification of federal
data on race and ethnicity is that now respondents are able to report more than one race by
choosing multiple responses to the following questions.
Race and Ethnicity: The U.S. Office of Management and Budget has revised the Standards for the
Classification of Federal Data on Race and Ethnicity and according to the new standard there will
be five minimum categories for data on race (American Indian or Alaska Native, Asian, Black or
African American, Native Hawaiian or Other Pacific Islander, and White) and one category for
data on ethnicity (“Hispanic or Latino”). Respondents will be able to report more than one race
by choosing multiple responses to the race question. The purpose of the revised classification is
to reflect the increasing diversity of the U.S. population that has resulted primarily from growth in
immigration and in interracial marriages. The new standards were used by the Bureau of the