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1 - 10 of 20 results for: CSRE::Methodology ; Currently searching offered courses. You can also include unoffered courses

ANTHRO 91: Method and Evidence in Anthropology

This course provides a broad introduction to various ways of designing anthropological questions and associated methods for collecting evidence and supporting arguments. We review the inherent links between how a question is framed, the types of evidence that can address the question, and way that data are collected. Research activities such as interviewing, participant observation, quantitative observation, archival investigation, ecological survey, linguistic methodology, tracking extended cases, and demographic methods are reviewed. Various faculty and specialists will be brought in to discuss how they use different types of evidence and methods for supporting arguments in anthropology.
Terms: Aut | Units: 5 | UG Reqs: GER:DB-SocSci, WAY-SI
Instructors: Ebron, P. (PI)

ANTHRO 93: Prefield Research Seminar

For Anthropology majors only; non-majors register for 93B. Preparation for anthropological field research in other societies and the U.S. Data collection techniques include participant observation, interviewing, surveys, sampling procedures, life histories, ethnohistory, and the use of documentary materials. Strategies of successful entry into the community, research ethics, interpersonal dynamics, and the reflexive aspects of fieldwork. Prerequisites: two ANTHRO courses or consent of instructor.
Terms: Spr | Units: 5
Instructors: Tambar, K. (PI)

ANTHRO 93B: Prefield Research Seminar: Non-Majors

Preparation for anthropological field research in other societies and the U.S. Data collection techniques include participant observation, interviewing, surveys, sampling procedures, life histories, ethnohistory, and the use of documentary materials. Strategies for successful entry into the community, research ethics, interpersonal dynamics, and the reflexive aspects of fieldwork. Service Learning Course (certified by Haas Center).
Terms: Spr | Units: 5 | UG Reqs: GER:DB-SocSci, WAY-SI

ANTHRO 116: Data Analysis for Quantitative Research (ANTHRO 216)

An introduction to numeric methods in Anthropology and related fields employing the Data Desk statistics package to test hypotheses and to explore data. Examples chosen from the instructor¿s research and other relevant projects. No statistical background is necessary, but a working knowledge of algebra is important. Topics covered include: Frequency Distributions; Measures of Central Tendency, Dispersion, and Variability; Probability and Probability Distributions; Statistical Inference, Comparisons of Sample Means and Standard Deviations; Analysis of Variance; Contingency Tables, Comparisons of Frequencies; Correlation and Regression; Principal Components Analysis; Discriminant Analysis; and Cluster Analysis. Grading based on take-home problem sets.
Terms: Aut | Units: 5 | UG Reqs: GER:DB-SocSci, WAY-AQR
Instructors: Klein, R. (PI)

ANTHRO 130D: Spatial Approaches to Social Science (ANTHRO 230D, POLISCI 241S, URBANST 124)

This multidisciplinary course combines different approaches to how GIS and spatial tools can be applied in social science research. We take a collaborative, project oriented approach to bring together technical expertise and substantive applications from several social science disciplines. The course aims to integrate tools, methods, and current debates in social science research and will enable students to engage in critical spatial research and a multidisciplinary dialogue around geographic space.
Terms: Win | Units: 5 | UG Reqs: WAY-AQR, WAY-SI

COMM 106: Communication Research Methods (COMM 206)

(Graduate students register for COMM 206.) Conceptual and practical concerns underlying commonly used quantitative approaches, including experimental, survey, content analysis, and field research in communication. Pre- or corequisite: STATS 60 or consent of instructor. (Cardinal Course certified by the Haas Center)
Terms: Win | Units: 5 | UG Reqs: GER:DB-SocSci

CS 109: Introduction to Probability for Computer Scientists

Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms. Prerequisites: 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent.
Terms: Aut, Win, Spr, Sum | Units: 3-5 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

CSRE 146B: Approaching Research in the Community: Design and Methods (URBANST 123B)

This course focuses on issues of research design and how to select specific methodological strategies to assure ethical and effective partnership-based research. In this course, students will plan for their own participation in a CBRF project. Topical themes will include best practice strategies for (a) defining and selecting community problems or issues to be addressed, (b) generating relevant and useful research questions, (c) choosing specific means and methods for data collection [e.g., surveys, interviews, focus groups, etc.], (d) storing, organizing and analyzing data, (e) reflecting on and critiquing research findings, and (f) carrying out dissemination in ways that can be expected to enhance community power and advance community development. Students will be provided with opportunities to workshop their respective projects-in-development, (e.g., developing and sharing research questions, data collection instruments, strategies for engaging community constituents as co-researchers, etc.). This is a required course for students participating in the Haas Center for Public Service Community-based Research Fellows Program, but enrollment is open to all Stanford students.
Terms: Spr | Units: 3 | UG Reqs: WAY-SI

CSRE 180B: Introduction to Data Analysis (SOC 180B, SOC 280B)

Methods for analyzing and evaluating quantitative data in sociological research. Students will be taught how to run and interpret multivariate regressions, how to test hypotheses, and how to read and critique published data analyses.
Terms: Spr | Units: 4 | UG Reqs: GER:DB-SocSci, WAY-AQR, WAY-SI

ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists

Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite: MATH 20 or equivalent.
Terms: Aut, Win | Units: 5 | UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI
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