Workshops

Data Analysis For Social Workers

ID: 1

Today, more than ever, statistical training is vital for high quality social work practice. Whether you are a clinician or administrator, a student or seasoned professional, you will find statistics to be an invaluable decision-making and problem-solving tool.

Data Analysis for Social Workers is an intensive, 12-session course. There are four quizzes and six required homework assignments, each constructed to expand your knowledge of:

  • Descriptive Statistics
  • Normal Distribution
  • T-tests
  • Analysis of Variance
  • Correlation-Regression Analysis
Applying these concepts to your practice will aid you in determining the success of interventions and programs as you work with clients, organizations, and communities. The online class learning format will consist of lecturettes and discussion of homework assignments and quiz results. Your performance will be evaluated on a Pass or Fail basis (This course leads to a certificate not to academic credit). When you pass the course you will receive a certificate of completion. But more importantly, when you pass Data Analysis for Social Workers you will be able to read the professional literature with a more critical eye and, should you choose, be able to apply some important statistical techniques to your own professional practice.

Textbook Information

Levin, Jack and James Alan Fox (2010). Elementary Statistics in Social Research: the Essentials, 3rd edition. Allyn and Bacon: Boston

This book can be purchased through the Rutgers, Barnes and Noble bookstore, in New Brunswick (http://rutgers.bncollege.com). To locate the book for the course, use the following information: Department: 910; Course: SSW PCC; Section: 01 For questions or more information, please contact pcc@ssw.rutgers.edu

Fee: $1000.00
Continuing Ed. Hours (CEH): 0.00

Class
Unavailable

Instructor: Louis Donnelly
Dates: 7/9/18, 7/10/18, 7/11/18, 7/12/18, 7/13/18, 7/14/18, 7/15/18, 7/16/18, 7/17/18, 7/18/18, 7/19/18, 7/20/18, 7/21/18, 7/22/18, 7/23/18, 7/24/18, 7/25/18, 7/26/18, 7/27/18, 7/28/18, 7/29/18, 7/30/18, 7/31/18, 8/1/18, 8/2/18, 8/3/18, 8/4/18, 8/5/18, 8/6/18, 8/7/18, 8/8/18, 8/9/18, 8/10/18, 8/11/18, 8/12/18, 8/13/18, 8/14/18, 8/15/18, 8/16/18, 8/17/18
Time: 12:00 am - 11:59 pm
Location: Online Course
Class Unavailable

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