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Important Notes/Caveats Regarding Data Interpretation:
When unduplicated headcounts for a program are low, interpret findings with caution, particularly for groups who make up a small portion of the unduplicated headcount. You can calculate the headcount for a particular demographic group by summing the unduplicated headcount for a given academic year and multiplying by the percentage headcount for that year (in decimal form). For example, if a particular program had 200 unduplicated students in fall, 200 in spring, and females made up 50% of the program headcount for that year, then the number of females would be calculated as (200 + 200) x .50 = 200. As a rule of thumb, if this headcount is below 30 be careful in interpreting findings.
Also note that the duplicated/unduplicated headcount, WSCH, estimated FTES, FTEF, productivity, and student to faculty ratio plots for the program and college-level data have different scales on the Y-Axis and may not start at zero. This may visually exaggerate small changes in the data and/or make it somewhat challenging to compare program and college-wide trends. In the case of large disparities between Y-Axis scales, it is best to focus on trends in the data labels rather than the visual/graphical depiction of the lines. All other graphs are on the same scale.
Special Note for Veteran Data Packet:
Unduplicated and duplicated headcounts for veterans reflect all registered students who were identified as veterans during or before a particular term. Because data aren't available on veteran status prior to fall 2012, headcounts from 2012-2013 academic year may be low and may not fully reflect veterans who had been enrolled prior to the 2012-13 academic year.
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Collegewide: Duplicated Headcount by Academic Term (2010-2015)Top | Computer Information Science - Applications: Duplicated Headcount by Academic Term (2010-2015)Top |
Collegewide: Unduplicated Headcount by Academic Term (2010-2015)Top | Computer Information Science - Applications: Unduplicated Headcount by Academic Term (2010-2015)Top |
Collegewide: Headcount by Age Range (2010-2015)Top | Computer Information Science - Applications: Headcount by Age Range (2010-2015)Top |
Collegewide: Headcount by Age Range (Collapsed) (2010-2015)Top | Computer Information Science - Applications: Headcount by Age Range (Collapsed) (2010-2015)Top |
Collegewide: Headcount by Gender (2010-2015)Top | Computer Information Science - Applications: Headcount by Gender (2010-2015)Top |
Collegewide: Headcount by Ethnic Group (2010-2015)Top | Computer Information Science - Applications: Headcount by Ethnic Group (2010-2015)Top |
Collegewide: Headcount by Educational Goal (2010-2015)Top | Computer Information Science - Applications: Headcount by Educational Goal (2010-2015)Top |
Collegewide: Headcount by Educational Level (2010-2015)Top | Computer Information Science - Applications: Headcount by Educational Level (2010-2015)Top |
Collegewide: Headcount by Instructional Mode (2010-2015)Top | Computer Information Science - Applications: Headcount by Instructional Mode (2010-2015)Top |
Collegewide: Headcount by Course Level (2010-2015)Top | Computer Information Science - Applications: Headcount by Course Level (2010-2015)Top |
Collegewide: Headcount by Freshman Status (2010-2015)Top | Computer Information Science - Applications: Headcount by Freshman Status (2010-2015)Top |
Collegewide: Headcount by Primary Language (2010-2015)Top | Computer Information Science - Applications: Headcount by Primary Language (2010-2015)Top |
Collegewide: WSCH by Academic Term (2010-2015)Top | Computer Information Science - Applications: WSCH by Academic Term (2010-2015)Top |
Collegewide: ESTIMATED FTES by Academic Term (2010-2015)Top | Computer Information Science - Applications: ESTIMATED FTES by Academic Term (2010-2015)Top |
Collegewide: FTEF by Academic Term (2010-2015)Top | Computer Information Science - Applications: FTEF by Academic Term (2010-2015)Top |
Collegewide: Productivity (WSCH/FTEF) by Academic Term (2010-2015)Top | Computer Information Science - Applications: Productivity (WSCH/FTEF) by Academic Term (2010-2015)Top |
Collegewide: Student to Faculty Ratio (ESTIMATED FTES/FTEF)Top | Computer Information Science - Applications: Student to Faculty Ratio (ESTIMATED FTES/FTEF)Top |
Collegewide: Success Rate by Academic Year (2010-2015)Top | Computer Information Science - Applications: Success Rate by Academic Year (2010-2015)Top |
Collegewide: Success Rate by Age Range (2010-2015)Top | Computer Information Science - Applications: Success Rate by Age Range (2010-2015)Top |
Collegewide: Success Rate by Age Group (2010-2015)Top | Computer Information Science - Applications: Success Rate by Age Group (2010-2015)Top |
Collegewide: Success Rate by Gender(2010-2015)Top | Computer Information Science - Applications: Success Rate by Gender(2010-2015)Top |
Collegewide: Success Rate by Ethnic Group (2010-2015)Top | Computer Information Science - Applications: Success Rate by Ethnic Group (2010-2015)Top |
Collegewide: Success Rate by Educational Goal (2010-2015)Top | Computer Information Science - Applications: Success Rate by Educational Goal (2010-2015)Top |
Collegewide: Success Rate by Educational Level (2010-2015)Top | Computer Information Science - Applications: Success Rate by Educational Level (2010-2015)Top |
Collegewide: Success Rate by Instructional Mode (2010-2015)Top | Computer Information Science - Applications: Success Rate by Instructional Mode (2010-2015)Top |
Collegewide: Success Rate by Course Level (2010-2015)Top | Computer Information Science - Applications: Success Rate by Course Level (2010-2015)Top |
Collegewide: Success Rate by Freshman Status (2010-2015)Top | Computer Information Science - Applications: Success Rate by Freshman Status (2010-2015)Top |
Collegewide: Success Rate by Primary Language (2010-2015)Top | Computer Information Science - Applications: Success Rate by Primary Language (2010-2015)Top |