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Tuesday, June 5 • 2:30pm - 4:00pm
What institutional data can tell us? Curriculum, advisement, and student success

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Session's purpose:
This poster aims to present the approaches to use the basic statistics techniques to obtain, clean, analyze, and interpret the institutional data for assessment.

Target audience:
Educators participating in assessment committee in higher education

Content:
By analyzing the institutional data of 459 journalism students-2007 to 2010 cohorts, the author assessed the curriculum and student success in a Journalism Department at a public university in Southwest region of the United States. Statistics analyses found: 1) For the 106 first time freshmen who entered the college about 10 years ago but haven't graduated by 2017, 67.9% of them haven't taken any journalism classes! 2) For first time freshmen, African American students performed lower than the average in both 1st-year continuation rate and 6-year graduation rate. For first time transfers, Latino students performed lower than the average in both 1st-year continuation rate and 4-year graduation rate. Solutions were provided in terms of the developments of the current curriculum and advisement based on students' ethnicities. Tables and the graphics will be shown in the poster.

Engagement:
Using the author's own SPSS dataset as an example to show audiences how to run the data step by step.

Speakers

Tuesday June 5, 2018 2:30pm - 4:00pm
Ballroom A&B

Attendees (19)