# The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS

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1 1 The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS Course Number: SW 318 Instructor: Michael Bergman, Ph.D. Unique Number: Office Number: SSW (IT Classroom) Semester: Fall 2008 Office Phone: none Meeting Time: Tues. & Thurs. 3:30-5 pm Meeting Place: SSW (Information Technology Classroom) Office Hours: Tues. & Thurs. 5-5:30 pm and by appt. Course Description This course is one of the two courses in research for undergraduate social work majors. Completion of the liberal arts math requirement is a prerequisite for this course. This course provides a basic introduction to the conceptual and quantitative tools used to describe and interpret data in the conduct of social work and social psychological practice and research. Students learn how to select, calculate, and interpret appropriate statistics applicable to common data analysis situations related to direct practice, administration and planning, and policy making. The course provides students with the opportunity to acquire personal computer skills in Microsoft Excel and the Statistical Package for the Social Sciences (SPSS) to calculate statistics and present results. Students are required to complete SW 318 prior to entering the major. Students majoring in social work must earn a grade of C or better in this course. Course Objectives By the end of the course, the student should be able to: 1. Explain the logic of the research process and its relationship to social work knowledge and practice; 2. Explain, calculate, and interpret descriptive statistics including: basic terminology, scales, notations, frequency distributions, measures of central tendency, measures of dispersion, and the normal distribution; 3. Read and analyze basic charts and graphs, contingency tables, and SPSS output results; 4. Explain, calculate, and interpret inferential statistics including probability and hypothesis tests; 5. Identify and apply the correct statistical technique to the research question; 6. Understand that statistics are value neutral, but can be used to support discriminatory and prejudicial value positions contrary to the values of social work, especially against special populations (e.g., women, people of color, people with disabilities, gays and lesbians); 7. Use computer technology to compute descriptive and inferential statistics; and 8. State several examples of how statistics are used as a tool in the real world by social service agencies to analyze client outcomes.

5 5 Class Schedule The anticipated schedule of activities for this course follows. The instructor reserves the option to modify the schedule if deemed necessary. References to chapters are the chapters in the textbook. Date Readings from Text to Prepare for Class Class Activities Homework Assignment Class 1 August 28 Discuss syllabus and class expectations Class 2 Sept. 2 Chapter 1. The What and Why of Statistics chapter 1 Homework 1: Level of measurement problems Class 3 Sept. 4 Class 4 Sept. 9 Chapter 1, Continued Chapter 2. Organization of Information: Distributions Introduction to SPSS Chapter 2 Distribution Problems Continue working on Homework 1 Homework 2: distributions (reading tables) Class 5 Sept. 11 Chapter 3. Graphic Presentation Chapter 3 Distribution Problems Homework 3: distributions (interpretation) Class 6 Sept. 16 Chapter 4. Measures of Central Tendency Chapters 4 Central Tendency Problems Homework 4: Central tendency problems

6 6 Class 7 Sept. 18 Class 8 Sept. 23 Chapter 5. Measures of Variability In class review Chapter 5 Variability Probs Class 9 Sept. 25 Exam 1 Review for Exam 1 Homework 5: Variability problems Class 10 Sept. 30 Chapter 6: Relationship between two variables (crosstabulation) Chapter 6 Crosstabulation Problems Homework 6: Crosstabulation Class 11 Oct. 2 Chapter 6: Relationship between two variables (elaboration) Chapter 6 Elaboration Problems Homework 7: Elaboration Class 12 Oct. 7 Chapter 8: Bivariate Regression and Correlation Group Differences group differences Chapter 8 Homework 8: Describing Group Differences Class 13 Oct. 9 Comparing groups on measures of central tendency and dispersion Chapter 8 (cont d) regression and correlation Homework 9: r and r²

7 7 Date Readings and Class Activites Homework Class 14 Oct. 14 Class 15 Oct. 16 Class 16 Oct. 21 In class review Chapter 9: The Normal Distribution Exam 2 Chapter 9 Review for Exam 2 Homework 10: Z- scores and percentiles Class 17 Oct. 23 Class 18 Oct. 28 Chapter 9, Continued Chapter 10:Sampling and Sampling Distributions Z-scores and percentiles Chapter 10 Sampling Distributions Continue working on Homework 10 Homework 11: Sampling Distributions Class 19 Oct. 30 Chapter 11: Estimation chapter 11 estimation Homework 12: Point estimates and confidence intervals Class 20 Nov. 4 Chapter 12: Testing Hypotheses About Two Samples (read thru p. 419) Logic of Hypothesis testing Homework 13: Hypothesis testing Class 21 Nov. 6 Class 22 Nov. 11 Class 23 Nov. 13 In class review Chapter 12, Continued (p. 419 to end of chapter) Exam 3 testing mean differences Review for Exam 3 Homework 14: Independent samples t-test

8 8 Class 24 Nov. 18 Chapter 13:The Chi- Square Test Chapter 13 Chi-square problems Homework 15: Chi-square test of independence Class 25 Nov. 20 Chapter 14: Analysis of Variance Chapter 14 Oneway ANOVA Homework 16: Oneway ANOVA Class 26 Nov. 25 Review Chapter 8: Regression and Correlation Hypothesis tests in regression and correlation correlation coefficient (Pearson s r) Homework 17: Hypothesis tests in regression and correlation Nov. 27 NO CLASS Thanksgiving Day Class 27 Dec. 2 Class 28 Dec. 4 In class review Exam 4 Review for Exam 4

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