SPSS and Data Driven Decision-Making Session

 

Dear Friends, supporters, and Members of PASA,

 

 

Oct. 21st, PASA conducted its first ever "SPSS and Data-Driven Decision-Making" training. The training was conducted by PASA's vice president, Atnre Alleyne, with the support of PASA's president, Tatiana Poladko, John Hart, associate director of the Walter Rand Institute of Public Affairs, and WRI staff members, Jen Ping, Adam Huron, Derrick, and Tonya. With 32 people in attendance (25 participants and 7 trainers) the attendees were made up of MPA students, MPA alumni, Rutgers faculty, Rutgers undergraduates, and even a doctoral student. This diversity coupled with the diverse career paths of the attendees (education, non-profit management, consulting, international public service, academia, etc) contributed significantly to the success of the training.

 

 

 

 

At the midpoint of the training, complications with smart classroom technology and the SPSS software almost ended the training abruptly. We are glad to note however, that between the participants’ eagerness to learn and the flexibility and determination of the trainers the session continued with the training objectives successfully met. Recognizing that a 3 hour session was insufficient time for participants to master the functionality of SPSS; our goals were more modest. Through hands on application our goal was to quell fear of the software and to encourage its usage for data-driven decision-making. From importing data into the package to running frequencies and cross-tabulations, through the session, students drew that much closer to SPSS proficiency. Most importantly, as decision-makers and public administrators (some current, some soon to be) perhaps the greatest take-away was that good data/information are essential in all of our careers and should be used in all of our decisions.

 

 

 

 

 

 

 

 

PASA would like to congratulate and thank all of our participants for attending the session, enduring the technical difficulties, and your meaningful contributions. We would also like to thank the Walter Rand Institute staff for their support in this session, superb research and SPSS aptitude, and their ability to transfer their knowledge with simplicity. Lastly, we would like thank you--friend, supporter, or member of PASA-- for your interest in the success of our organization.

 

 

 

 

 

 

 

Sincerely,

 

PASA Leadership Team

 

 

 

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