University Library Questionnaire and Instructions · 91
Responses concerning rank should be limited to professional librarians, and other profes­sionals who occupy the
same ranks as librarians. Leave the rank column blank for pro­fessionals who do not occupy these ranks or if the
column is not applicable. For example, if the Library Business Officer holds a rank typically used for university
adminis­trators but not for librari­ans, do not supply a rank code for that individual, even if you have included
salary and other data.
If multiple ranking structures are used for librarians and these structures are substantially differ­ent and not
equivalent, enter individual rank information only for that group which represents the largest fraction of “rank-
and-file” librarians.
The maximum number of ranks reported here should 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.
Enter Percent with two decimal points.
Optional Questions: The US 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 US population that has resulted primarily
from growth in immigration and in interracial marriages. The new standards were used by the Bureau of the
Census in the 2000 decennial census.1 In light of these developments, we are collecting the new classification on
race and ethnicity in the ARL Annual Salary Survey on an optional basis.
Ethnicity should be indicated by coding 1 to indicate if the person is of Hispanic or Latino ethnicity, and coding
0 otherwise. The definition of Hispanic or Latino ethnicity is: A person of Cuban, Mexican, Puerto Rican, Cuban,
South or Central American, or other Spanish culture or origin, regardless of race.
Race should be indicated for US university libraries only, by choosing one or more responses among the five
racial categories provided here; 1=yes and 0=no. You can select multiple racial categories for a person. The
definitions of the five racial categories, listed with their respective column names, are:
American Indian or Alaska Native (NatAm): A person having origins in any of the original peoples of North and
South America (including Central America) who maintains tribal affiliation or community attachment.
1 http://www.census.gov/population/www/socdemo/race/racefactcb.html
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