Administrative Research Methods PADM 212 Spring 2016 Instructor: Yeonji No Office: CL 404B E-mail: yeonji.no@sjsu.edu Office Phone: (408)924-1356 Office Hours: Thursday 2:00 p.m. – 3:.00 p.m. (other times by appointment only) Class Time: Thursday 6:00 p.m. – 8:45 p.m. Classroom: Clark Hall 306 Notice: The course syllabus provides a general plan for the course; deviations may be necessary. If a change does occur, sufficient notice will be given through Canvas and class announcements or e-mail. Course Description This course is intended to develop practical quantitative skills for summarizing, describing, and analyzing the types of data that enable public administrators to make better decisions. We will focus on the presentation and interpretation of “quantitative” data. We will use samples from the General Social Survey and the Office of Personnel Management to perform univariate analysis, bivariate analysis, and multivariate analysis. Learning Objectives Students will learn to: 1. Run basic statistical analysis using SPSS software. 2. Calculate and interpret absolute, relative, and cumulative frequency distribution. 3. Calculate, interpret, and distinguish among column, row, and total percentages. 4. Calculate the gamma and chi-square statistics. 5. Demonstrate the direction and strength of relationships between ordinal-level variables, using both column percentages and the gamma statistic. 6. Determine when we can generalize a relationship from a sample to the population from which the sample was drawn using the chi-square statistic. 7. Develop hypotheses, choose appropriate statistics to test them, and describe the results correctly in a short research paper. 8. Calculate three measures of central tendency (mean, median, and mode) and three measures of dispersion (range, variance, and standard deviation). 9. Use scatterplots and correlation coefficients to show the direction and strength of relationships between interval-level variables. 10. Interpret regression coefficients on interval-level and dummy independent variables in both bivariate and multiple regression. 11. Explain clearly what it means to hold a variable constant. 12. Discuss the strength of relationships using regression coefficients, standardized regression coefficients (beta-weights), and the coefficient of determination (R2). 13. Determine when (and to what extent) we can generalize a relationship from a sample to the population from which the sample was drawn, using both hypothesis tests and confidence intervals. Course Resources Lecture Notes There is no required textbook for this course. The lecture notes posted on Canvas are the only required text. The following books are recommended for those interested in more technical and rigorous explanations of concepts: Meier, K., Brudney, J., & Bohte, J. (2012). Applied Statistics for Public and Nonprofit Administration. 8th edition. Belmont, CA: Thomson Wadsworth. SPSS Software The Academic Technology Computer Center (ATCC), located on the first floor of Clark Hall in room 102, provides installer files to students who come in with flash drives with at least 1 GB of free space. The ATCC also sells install media on a DVD disk for $15 for either Mac or Windows. You need to bring your tower card to prove your affiliation. Canvas A class website on Canvas contains the course syllabus, lecture notes, SPSS data sets for the homework assignments, and other resources. Evaluation Items & Grading Scale Assignment Participation Percentage of Grade 10% Homework Assignments 20% Midterm Exam 20% Final Exam 20% Two Team Research Papers 30% Grading Scale A+ A AB+ B BC+ C F 96 or Higher 92 – 95 90 – 92 86 – 89 83 – 85 80 – 82 76 – 79 73 – 75 59 or Lower Participation Your participation grade will be given on the basis of the frequency and quality of participation in class. Participation includes asking and responding to questions during the class, as well as presentations and discussions of class assignments. Failure to come to class regularly will adversely affect your participation grade. Classroom Protocol Turn off your cell phones and put them away. Students are not allowed to use computers in class except in SPSS practice sessions. Failure to comply with the policies will lead to penalty on your class participation grades. Homework Assignments There are four homework assignments over the course of the semester. I do not accept late homework for any reason. Only hard copy is allowed, and please staple them with your SPSS output when necessary. Though it is encouraged to work with others, homework assignments must be your own work and in your own words. Exams The midterm and final exam require calculation and interpretation of statistics. The exams will be given in-class. Make-up exams will be allowed only in very rare circumstances and only if I was informed before the beginning of the exam. Under no circumstances will a make-up exam be given if the instructor is not informed of the absence and reason for absence before the exam. Team Research Papesr Students will be assigned into teams of 2-3 students, and a team paper assignment will allow you to demonstrate that you have learned how to use statistics in policy analysis including: how to choose appropriate statistics to answer particular questions, how to interpret those statistics, and how to write about your findings. Note that students must submit a completed paper topic form on XX. The form will be posted on Canvas. The research paper is presented in class on XX, and the final paper should be submitted on XX. There will be a penalty of one-half letter grade (e.g., A to A-) for each day late. How to Succeed in this Course Read the Lecture Notes Lecture notes not only cover all the topics systematically but are easy to understand. Be sure to read lecture notes before each class even if you don’t immediately understand the material, having seen the subject before class will help your understanding in class. Do the Homework You are expected to put in the necessary hours to complete the homework. The homework is essential for understanding the material and doing well on the quizzes, paper and examinations. Come to Class & Review Session This class builds steadily on material learned in previous class sessions. If you fall behind because of absences, you will have difficulty catching up. If you do have to miss a class, please arrange to get notes from another student. I am also willing to meet with you one-on-one but only to discuss what you do not understand from the missed class. Collaborate with classmates Consider your classmates one of your best resources. I strongly encourage you to work with a partner or a group to complete and/or check your homework assignments. However, this comes with a note of caution: do not rely too heavily on your group members because tests are taken individually. Also, remember that you much turn in your homework individually, not as a group. Have Patience Please be patient with your classmates when they need more time than you do to understand concepts and to figure out the software. Furthermore, have patience with yourself. Statistics is not easy for everybody, even the best of students. So give yourself and others time to understand. Class Schedule This schedule is subject to change (with sufficient notice). Week Date Topic(s) Readings Assignments Due 1 Jan 28 Class Introduction 2 Feb 4 Lecture Notes 1 3 Feb 11 Frequency Tables Introduction to SPSS Contingency Tables 4 Feb 18 Contingency Table Analysis Lecture Notes 3 Research Topic Form 5 Feb 25 Chi-Square Test Lecture Notes 4 HW 1 6 Mar 3 Chi-Square Test Describing Distribution Review Session TBA Lecture Notes 5 7 Mar 10 Midterm 8 Mar 17 Conference- NO CLASS 9 Mar 24 Lecture Notes 6 10 Mar 31 Scatterplots and Correlation Coefficients Spring Break- NO CLASS 11 Apr 7 Bivariate Regression Lecture Notes 7 12 Apr 14 Multiple Regression Lecture Notes 8 13 Apr 21 Multiple Regression Lecture Notes 9 14 Apr 28 Measuring Strength of Relationship Lecture Notes 10 15 May 5 Hypothesis Testing Lecture Note 11 16 May 12 Final Paper Presentation 17 May 19 Final Exam 17:15-19:30 Final Paper Submission Lecture Notes 2 HW2 HW3 HW4 University Policies Dropping and Adding Students are responsible for understanding the policies and procedures about add/drop, grade forgiveness, etc. Refer to the current semester’s Catalog Policies section at http://info.sjsu.edu/static/catalog/policies.html. 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