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