Graduate Course Proposal Form Submission Detail - SOW7403
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- Department and Contact Information
Tracking Number Date & Time Submitted 1844 2005-08-09 Department College Budget Account Number Social Work AS 126100 Contact Person Phone William S Rowe/Gregory J. Paveza 8139742706 firstname.lastname@example.org
- Course Information
Prefix Number Full Title SOW 7403 Quantitative Methods in Social Work Research Is the course title variable? N Is a permit required for registration? Y Are the credit hours variable? N Is this course repeatable? If repeatable, how many times? 0 Credit Hours Section Type Grading Option 3 C - Class Lecture (Primarily) R - Regular Abbreviated Title (30 characters maximum) Quant Social Work Research Course Online? Percentage Online -
Must be admitted to the graduate Ph.D. social work program. This course is restricted to majors only.
This course provides the student with a broad overview of Quantitative Methods of use to those during research in Social Work. It also serves as a review of basic quantitative methods for the Advanced Statistics course offered later in the program.
A. Please briefly explain why it is necessary and/or desirable to add this course.
Third foundation course for Ph.D. program in Social Work
B. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service?
This course will be part of the required program courses. All graduate students in the Ph.D. program will take it. It will not be offered to others outside of the School of Social Work.
C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?
D. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.)
To teach this course, the instructor must have at a minimum a Ph.D.
- Other Course Information
After the completion of this course the student will:
Have an understanding of the basic quantitative measures used in research studies.
Have an understanding of issues of validity, reliability, and other critical issues when choosing variables.
Will demonstrate the ability to use SPSS for the computation of basic analytic techniques.
Ability to report data in both written and tabular form.
Ability to write a data analysis section for a grant application.
Understanding of issues related to conducting ethical research including the preparation of appropriate consent forms.
B. Learning Outcomes
Understand issues related to conducting ethical research including the preparation of appropriate consent forms.
Understanding of issues of validity, reliability, and other critical issues when choosing variables.
Use of SPSS for the computation of basic analytic techniques
report data in both written and tabular form.
Write a data analysis section for a grant application
basic quantitative measures used in research studies.
C. Major Topics
Tests and Measurements,
Sampling Size and Its Calculation,
Causation and Correlation,
Simple Measures of Association,
Wilcoxon Sign Rank Test,
Chi-Square and Odds Ratios,
Course on Consent Construction,
Introduction to Multivariable Models,
Logistic and Cox Regression,
Structural Equation Modeling,
Latent Variable Analysis,
Discriminant Function Analysis.
Babbie, Earl, Fred Halley, Jeanne Zanio. Adventures in Social Research: Data Analysis Using SPSS for Windows with Student Version of SPSS, 5th Edition. Pine Forge Press, Thousand Oaks, CA: 2003.
Montcalm, Denise, David Royse. Data Analysis for Social Workers. Allyn & Bacon, Boston, MA: 2002.
Morgan, Susan E, Tom Reichert, Tyler R. Harrison. From Numbers to Words: Reporting Statistical Results for the Social Sciences. Allyn & Bacon, Boston, MA: 2002.
Corcoran, Kevin, Joel Fischer. Measures for Clinical Practice, Volume 1: Couples, Famili
E. Course Readings, Online Resources, and Other Purchases
F. Student Expectations/Requirements and Grading Policy
G. Assignments, Exams and Tests
H. Attendance Policy
I. Policy on Make-up Work
J. Program This Course Supports
- Course Concurrence Information