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MSMR Graduate: Pamela & Mathew Topic: Make it Tacoma Research: Tacoma is faced with fewer high-salary employment opportunities than its industry-rich neighbors are.  The researchers collaborated with the city’s Community and Economic Development department to investigate which attributes Tacoma should promote to appeal to potential investors that bring high-wage jobs to cities and revitalize an area. The research consisted of in-depth qualitative interviews and data-rich surveys to explore (1

conclusion           b.  Student can analyze and interpret quantitative data in decision making      3.  Have an Ethical Perspective            a.  Student can recognize ethical issues and recommend a course of action            b.  Student can demonstrate care for the wellbeing of stakeholders      4.  Be competent in the basic business disciplines            a.  Student can demonstrate essential knowledge in each functional area 5.  Have a Global Perspective            a.  Student can recognize how

candidates to identify an organization of their interest to work with. Previous MSMA graduates have had the opportunity to work alongside leading nonprofits, local business gurus and international corporations. The client project consists of distinguishing problems, alternative courses of action, research questions and understanding the theoretical framework. In addition, both qualitative and quantitative research is conducted in order to provide a thorough analysis of the situation. At the end of the

problem statement, hypothesis or project goal. Logical methodology. Easy to understand. Easy to understand display of raw data and data analysis. Statistical analysis must be valid. For engineering projects, often a second improved prototype but not absolutely required. Very clear discussion of data analysis/results related to the real world problem or issue. Conclusion tied directly to the problem statement or hypothesis. Developed something new or discovered a new relationship in science. Other

Student Retention through Multiple Logistic Regression Analysis Meghan Bonafilia In this presentation, we will explore a data set with over 4000 observations concerning first year students at PLU and their likelihood of staying at PLU for the next year. Using logistic regression for analysis, we will review different model selection processes and explore several factors like: GPA, race, whether or not a student is first generation, whether or not a student lives on campus, and more. 2:00pm

Student Retention through Multiple Logistic Regression Analysis Meghan Bonafilia In this presentation, we will explore a data set with over 4000 observations concerning first year students at PLU and their likelihood of staying at PLU for the next year. Using logistic regression for analysis, we will review different model selection processes and explore several factors like: GPA, race, whether or not a student is first generation, whether or not a student lives on campus, and more. 2:00pm

27ENGL:  New ConcentrationMar 20 - Apr 20Apr 27 - May 27NURS: New Concentration May 23 - Jun 24Jul 21 - Aug 20Oct 2 - Nov 1Oct 26 - Nov 27Nov 22 - Dec 24KINS: Eliminate Minors NURS: MSN New ConcentrationDec 15 - Jan 17CSCI: Data Science2022Nov 22 - Dec 27ENGL:  new Concentration Nov 22 - Dec 27CCC:  General Education ProposalOct 28 - Nov 29EDUC: Doctor of Education (Ed.D.)Oct 6 - Nov 7Jul 20 - Aug 19May 31 - Jun 30Apr 26 - May 26SOCW: Master of Social WorkApr 5 - May 5BUSA: Management Science and