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Program Performance Analysis for Strategic Improvement

In this review, detailed data analysis is conducted on various program aspects such as enrollment, success rates, retention, and productivity. The analysis includes trend comparisons, percentage changes, and identification of external factors influencing outcomes to inform strategic decision-making.

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Program Performance Analysis for Strategic Improvement

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  1. 2013-14 Program Review Data Analysis Review Office of Institutional Research

  2. Data – Program Level • Productivity • Number of degrees/certificates awarded • Success • Retention • Transfer • Day/Evening • Distance Education* • Ethnicity* • Gender* • Grade distribution* • Enrollment • Fill Rate • Number of Sections • Mass Cap • Average Class Cap • Average Class Size • FTES • FTEF

  3. Data – Course Level • Number of Sections • Enrollment • Fill Rate • Success • Retention • Productivity • Ethnicity * • Distance Education* • Gender *

  4. Section B – Present – Data Analysis and Program Health • Summarize and analyze all disaggregated data by day, evening, and distance education regarding enrollments, fill rates, productivity, completion, success, retention, persistence, and transfer. • Analysis should consider: • Trending data; comparing to past semesters • Fall to Fall, Spring to Spring • Percentage Change will be listed as part of the data • Explaining any significant drops or spikes in rates, measured by change in percentage (both positive and negative) • External factors that could had an impact on course taking patterns • Include any qualitative information that supports the data • Avoid restating the data without providing any additional support

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