From ceginfo@u.washington.edu Fri Sep 28 16:17:41 2001 Received: from jason05.u.washington.edu (jason05.u.washington.edu [140.142.8.54]) by lists.u.washington.edu (8.11.6+UW01.08/8.11.6+UW01.08) with ESMTP id f8SNHeN101212 for ; Fri, 28 Sep 2001 16:17:40 -0700 Received: from homer19.u.washington.edu (daemon@homer19.u.washington.edu [140.142.8.19]) by jason05.u.washington.edu (8.11.6+UW01.08/8.11.6+UW01.08) with ESMTP id f8SNHd331862 for ; Fri, 28 Sep 2001 16:17:39 -0700 Received: from localhost (ceginfo@localhost) by homer19.u.washington.edu (8.11.6+UW01.08/8.11.6+UW01.08) with ESMTP id f8SNHcO81840 for ; Fri, 28 Sep 2001 16:17:39 -0700 Date: Fri, 28 Sep 2001 16:17:38 -0700 (PDT) From: Civil and Environmental Engineering To: Subject: Fw: URBDP 498I Advanced Research Design (fwd) Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII > ---------- Forwarded message ---------- > Date: Fri, 28 Sep 2001 15:42:41 -0700 > From: Marina Alberti > > URBDP 498I Advanced Research Design > > Tue 2:00-3:20 Th 1:00-2:20 > 3 Credits > Gould 442 > > Instructor: Marina Alberti > Department of Urban Design and Planning > E-mail: malberti@u.washington.edu > Tel: 206 616 8667 > > Subject > > This course is designed to provide graduate students in the applied > social and natural sciences with theoretical and practical skills for > conducting research. Students will be exposed to the issues involved in > research decisions and to diverse problem-solving strategies at various > stages of the research process. The course examines the logic of > scientific inquiry, conceptualization and measurement of social > phenomena, principles of research design, and alternative methods for > describing, analyzing, and modeling primary and secondary data. Emphasis > is given to statistical principles of research design hypothesis testing > and statistical inference, sampling strategies, and analytical > approaches to randomized experimental, quasi-experimental, longitudinal > and cross-comparative studies. Major theoretical issues include: threats > to internal validity, sampling and external validity, reliability of > measures, causality, interpretation of statistical analysis and ethics > in research. Students will learn how to frame a research question, > develop testable hypotheses, identify and provide operational > definitions of research variables, select appropriate analytical > methods, and evaluate alternative research designs and data collection > strategies. > > Prerequisites > > Introduction to statistical methods, including the basic idea of random > sampling, basic probability laws, regression analysis, and statistical > tests. > > .