SOUTHERN ILLINOIS UNIVERSITY AT EDWARDSVILLE
DEPARTMENT OF SOCIAL WORK
Social Work 514/Fall 1999
Descriptive Statistics for Social Workers
Dr. Venessa A. Brown

COURSE DESCRIPTION

This course introduces students to statistics for social workers. The course primarily emphasizes descriptive statistics but also provides an introductory overview of basic inferential statistical concepts and measures. Central to the course are the conceptual learning of: l) types of variables, 2) methods of organiz1ng measures of variables, 3) the meaning and interpretation of descriptive and some inferential statistical measures, 4) the principles of hypothesis testing, and 5) their appropriate use in describing and estimating characteristics and effects of practice within social welfare clients and of social welfare programs. Students will learn computer based SPSS program to calculate and graphically display statistics.

The general goals of this course are for students to gain a level of understanding of descriptive statistics so that they understand statistical information reported in professional literature and. agency/program reports, utilize that knowledge as part of their professional practice to monitor their practice and their agencies of employment, and to gain familiarity with computer and statistical software technologies that facilitate incorporation of statistical knowledge into practice. Professional literature will be chosen that addresses issues of diversity, social justice, populations at risk, and values and ethics in social work practice.

LEARNING OBJECTIVES

1. Distinguish between categorical and quantitative variables and their identification among the types of variables frequently used to describe and measure social work clients, practice and program outcomes.
***Method of evaluating this objective: Class exercises and examination.

2. Develop understanding of the utility of and relationship between social work practice and programs and research in determining effects of intervention and in improving practice and programs.
***Method of evaluating this objective: Review required texts, class discussions, review articles and examination.

3. Understand the different types of descriptive statistical measures and their use in describing clients, client groups and populations as well as practice and program processes and outcomes.
***Method of evaluating this objective: Review of texts and homework assignments.

4. Develop understanding of significance testing and its use to assess differences in client attributes, practice/program processes and outcomes.
***Method of evaluating ebis objective: Review of text, discussion of literature, and review different program objective.

5. Develop skills and knowledge in the conduct of bivariate and multi-variate analysis of social work practice and program characteristics and effects.
***Method of evaluating this objective: Homework assignments and review of texts.

6. Develop basic conceptual understanding of inferential statistical analysis.
***Method of evaluating this objective: Class exercises and exams

7. Develop knowledge and skills for use of computer SPSS statistical analysis program.
***Method of evaluating this objective: Mini SPSS homework assignments and SPSS final project.

EVALUATION METHODS

SPSS Homework Assignments. The eleven SPSS homework assignments are designed to introduce you to a statistical package and strengthen your computer literacy. The assignments are very detailed and should be taken very serious. We will discuss the assignments in class and talk about their relevance to social work. These assignments will give you the opportunity to code data, input data, name variables, assign value labels, run different statistical procedures and much more. All SPSS assignments will be due at the beginning of the class. The assignments are worth 25 points each. We will meet in the Computer Lab in PH 1410 each class period from 7:45 pm to 8:45 pm. This will be an opportunity for any student needing help with SPSS. Also, I have included several links for understanding statistics on the web. Please check them out at www.siue.edu/~vbrown/

Examination. There will be four exams. Each exam will cover all materials prior to the test. The exams are worth 100 points each.

Review of Current Literature. From time to time the class will review social work journal articles and evaluate the results section. This will strengthen your knowledge base when evaluating the reliability and/or validity of studies that are done. When assigned they will be worth 5 bonus points.

REQUIRED TEXTS

Gravetter J. and Larry Wallnau. Essentials Of Statistics: For The Behavioral Sciences. 3rd Edition, St. Paul, MN: West Publishing Company, 1998.

Weinbach, Robert W. Statistics for Social Workers. 4th Edition, New York: Longman, 1997.

SPSS 7.5 for Windows Student Version. New York: Prentice Hall, 1997.

SUGGESTIVE READINGS

Hedderson, J. and M. Fisher. SPSS made simple. 2nd Edition. Belmont, CA: Wadsworth, Inc., 1993.

Krishef, Cutrtis H. Fundamental Statistics for Human Services and Social Work. Boston: Duxbury Press, 1987.

CLASS SCHEDULE

Week 1 Introduction to course/Review of Syllabus
8/25/99 What are statistics and how are they used in social work practice, programs, and policy analysis? Why learn a statistical program?
Readings: Weinbach, chapter 1
Gravetter and Wallnau, chapter 1
Week 2 Organizing and summarizing data in quantitative research
9/1/99 Quantitative and Qualitative data: Guidelines for constructing frequency distributions
Readings: Weinbach, chapter 2
Gravetter and Wallnau, chapter 2
Week 3 Measures of Central Tendency: Deciding which measure of central tendency should be used Describing Variability and score transformations
9/8/99 Readings: Weinbach, chapter 3
Gravetter and Wallnau, chapters 3 and 4
Week 4 Review and meet in groups to critique a social work article
(Guidelines will be given)/ Also review with each other for test next week
9/15/99
Week 5 Exam One
Normal and Other Distributions and Standard Scores
The Normal Curve
Z-Scores
Standard Scores
9/22/99 Readings: Weinbach, chapter 4
Gravetter and Walluau, chapter 5
Week 6 Introduction to Probability Theory and Inferential Statistics
Populations and Samples Sampling distributions
9/29/99 Readings: Weinbach, chapter 7
Gravetter and Walloau, chapters 6, 7
Week 7 Discuss SPSS Homework Assignments
Introduction to Hypothesis Testing and t-test
10/6/99 Readings: Weinbach, chapter 5,6,7
Gravetter and Wallnau, chapters 8, 9
Week 8 Exam Two
10/13/99
Week 9 Review first 8 weeks/Reflection Exercises/SPSS Review
10/20/99
Week 10 T-test and ANOVA
10/27/99 Readings: Weinbach, chapter 11
Gravetter and Wallnau, chapters 9,10, 11
Week 11 ANOVA cont
11/3/99 Gravetter and Wallnau, chapters 13, 14
Exam Three
Week 12 Measures of Relationships: Correlation and Regression
11/10/99 Readings: Weinbach, chapter 8
Gravetter and Walloau, chapter 15
Week 13 Chi-Square: Goodness of Fit and Independence
11/17/99 Readings: Weinbach, chapter 15
Gravetter and Wallnau, chapter 16
Week 14 Fall Break and Thanksgiving: Have a nice holiday!
11/24/99
Week 15 Exam Four
12/1/99
Week 16 OPEN (TBA) Final Lab
12/8/99
Week 17 Final exam week 

 Note: Students are encouraged to do all of the homework problems in the book. Homework is not turned in for evaluation. Answers to all odd number problems are in the back of the book. Several problems will be worked in class as class exercises.

Note: Statistics can sometimes produce a lot of anxiety, therefore I would suggest that you never miss class and that you keep up with the assignments. Once you are behind it is very difficult to catch up. Come with a positive attitude and most of all trust and believe in yourself.

Note: Although this is a contract with you the student, there may be times that this contract will have to be modified. I will discuss with you at least a week in advance of any changes.

Click here  for a list of helpful and interesting statistics related web sites, compiled by Dr. Gary Cziko of the University of Illinois at Urbana-Champaign.

Dr. Venessa Brown