4:15 – 7:00 Wednesdays Section 0101 EDU 0114Course Materials(Required Text)Leech, N. L., Barrett, K. C., & Morgan, G. A. (2007). SPSS for intermediate statistics: Use and interpretation (3rd ed.). Mahwah, NJ: Erlbaum. (Helpful Supplementary Text)Course AssignmentsGrading PolicyShould there be any unexpected changes to the course requirements or the course schedule due to unforeseen circumstances these will be communicated clearly in class and via email. In general, I primarily use the anonymous listserv for the course that is available to me to communicate with you. Since it automatically adds and deletes students who register or drop the course, please inform me if you do not receive my emails. That may be a registration issue or an incorrect email address in the university database. AttendanceAcademic Dishonesty (Cheating, Fabrication, Plagiarism, Facilitation)Make-up Assignments GenerallyHomework AssignmentsStatistical Critique PaperAcceptable Format for AssignmentsTopic ScheduleTopicsSupplementary ReadingsEach week I will provide you with one supplementary reading for the course, which will typically come from a peer-reviewed source. The reading serves to highlight current research on the methods that we discuss in class and their applications. Some of the readings can, thus, serve as a stimulus for the statistical critique paper that is due at the end of the class. I will send you the readings electronically at least one week before you need to read them via the general email listserv that is available to me. CalculatorsMany people believe that statistics is challenging because of intricate mathematics involved. This is actually an incorrect assumption, because intricate mathematics is needed only to understand statistical theorems and theoretical results at an advanced level. While I will present to you a few introductory theoretical ideas, the numerical mathematical operations are restricted to adding, subtracting, multiplying, dividing, squaring, and taking the square root. As a result, only a basic calculator is required for this course for performing a few supplementary computations by hand. However, most of the analyses that you will perform or that I will present will be conducted in a statistical package such as SPSS or SAS or in a freeware programming language such as R. SPSSAdditional Relevant ProgramsFor some illustrations I may use the freeware programming language and environment R (http://www.r-project.org), which you may also consider getting to know for your own analyses. It is a very flexible environment that contains a wide variety of packages that allow you to do numerous mathematical and statistical operations ranging from data simulation to data analysis. In addition, we will be using the freeware suite GPower v.3 (http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/) for learning about power analyses and a priori sample size determination.Agresti, A., & Finlay, B. (1997). Statistical Methods for the Social Sciences (3rd ed.) Upper Saddle River, NJ: Prentice Hall. Devore, J., & Peck, R. (2001). Statistics: The exploration and analysis of data (4th ed.). Pacific Grove, CA: Wadsworth / Thomson Learning.Littell, R. C., Stroup, W. W., & Freund, R. J. (2002). SAS for linear models (4th ed.). SAS Publishing. Littell, R. C., Miliken, G. A., Stroup, W. W., Wolfinger, R. D., & Schabenberber, O. (2006). SAS for mixed models (2nd ed.). SAS Publishing. Neter, J., Kutner, M.H., Nachtsheim, C.J., & Wasserman, W. (2004). Applied linear statistical models (5th ed.). Chicago: Irwin.EDMS 646, Fall 2008, Sec 0101 1 / 7 André A. Rupp EDMS 646 – Quantitative Research Methods II (3 Credit Hours) Department of Measurement, Statistics, and Evaluation (EDMS) University of Maryland, Fall Semester 2008 4:15 – 7:00 Wednesdays Section 0101 EDU 0114 Instructor: André A. Rupp Phone: (301) 405-3623 Office: EDMS 1230 A E-mail: [email protected] Hours: W 3 – 4 & by appointment Fax: (301) 314-9245 Website: www.education.umd.edu/EDMS/fac/Rupp Course Materials Lomax, R. G. (2007). Statistical concepts: A second course (3rd ed.). Mahwah, NJ: Erlbaum. (Required Text) Leech, N. L., Barrett, K. C., & Morgan, G. A. (2007). SPSS for intermediate statistics: Use and interpretation (3rd ed.). Mahwah, NJ: Erlbaum. (Helpful Supplementary Text) Course Description EDMS 646 is the second course in a two-part module on quantitative research methods; the complementary prerequisite course is EDMS 645. This course introduces you to basic elements of experimental design and associated analyses of data structures with models from the family of general linear models (GLMs). The class is a combination of application and theory, which means that I will present the course material to facilitate your conceptual understanding of the statistical methods and your ability to apply them. Moreover, the underlying statistical and mathematical theory will be presented in detail to support such understanding and transfer abilities. Course Assignments 1. Homework Assignments 45 Points 2. In-class Exam 20 Points 3. Take-home Exam 20 Points 4. Statistical Critique Paper 15 Points Grading Policy A+: 97-100 B+: 85-87 C+: 75-77 D+: 58-65 F: < 50 A: 93-96 B: 81-84 C: 70-74 D: 55-57 A-: 88-92 B-: 78-80 C-: 66-69 D-: 50-54 E-mail Should there be any unexpected changes to the course requirements or the course schedule due to unforeseen circumstances these will be communicated clearly in class and via email. In general, I primarily use the anonymous listserv for the course that is available to me to communicate with you. Since it automatically adds and deletes students who register or drop the course, please inform me if you do not receive my emails. That may be a registration issue or an incorrect email address in the university database.EDMS 646, Fall 2008, Sec 0101 2 / 7 André A. Rupp Attendance Coming to the course not only ensures that you will be able to be exposed to the material in an alternative manner, but, also, that you have an opportunity to engage in critical discussions with your classmates. Consequently, attendance in this course is mandatory and you have to communicate absences to me in writing (e.g., via email) beforehand. In particular, you must communicate absences due