Waiver Exam Information

Three classes may be waived by examination:

  1. T6501 Social Work Research. (If you waive, you may take a three-credit elective in lieu of the course.)
  2. T6801 Social Welfare Policy. (If you waive, you must take a more advanced-level policy course.)
  3. T6505 Introduction to Statistics. (If you waive, you are exempted from taking this course.)

If you have previously or recently completed similar coursework in statistics or the SW research or social welfare policy content areas, then we recommend that you take the applicable waiver exam. Note that these exams are optional and not required.

Waiver exams will be administered:

  • In January, June, July and September. Exact dates and times TBD.

To register click here.

  • The Statistics and Research Methods waiver exams are computer-based and consist of multiple choice questions.
  • To take exams online, you need a computer with a working webcam and microphone for proctoring. Please have a government-issued photo ID ready to show before beginning the exam. If you have any questions, contact swonline@columbia.edu.
  • The Social Welfare Policy waiver exam consists of short-answer and short-essay questions that must be answered in the blue book provided.
  • Your waiver exam results will be sent to you 48 to 72 hours of completing the exam. Please do not call for exam results.

Preparation for Waiver Exams

Suggested Readings for Research Waiver Exam

SUGGESTED TEXTBOOKS FOR STATISTICS WAIVER EXAM

If you need to refresh your statistical knowledge, the textbook(s) you read in your past courses or consulted in your workplace are probably excellent resources. For a conceptual overview of statistics, you can also review the textbook assigned for our introductory statistics course:

Pyrczak, F. (2014). Making sense of statistics (6th ed.). Glendale, CA: Pyrczak Publishing.

Note these two corrections in Pyrczak.

  • Section 24, second paragraph, first sentence. Although ANOVA can be used to test the difference between two means, ANOVA is never employed in this manner. ANOVA is not the best test for two means. Rather, you would use a ttest for this purpose.
  • Section 28. The formula that Pyrczak gives for Cohen’s d is atypical. More common is to divide the difference between the two means by the pooled variance of both groups. Thus, instead of dividing by the control group SD, you divide by the average of the treatment and control SDs.

Answers to questions at the end of each chapter and to review questions at the end of the book, together with a test item bank and answers, can be found here.