All students must complete a two-semester sequence in statistics and research methods. Students must also select an additional research methods course (advanced statistics, qualitative research) in preparation for their doctoral research. This course list provides options for the additional research methods course. The courses are organized into qualitative and quantitative areas.
Qualitative Methods Courses
Students may need to take at least 2 qualitative methods courses if they select this option (to meet their additional research methods requirement)
Introduction to Qualitative Research
Developing and using qualitative methods used by sociologists to conduct research. Underlying assumptions and limitations
Advanced Seminar in Qualitative Research: Part I
Expand fieldwork skills and increase theoretical understanding: emphasis on “thinking qualitatively;” intensive fieldwork
Introduction to Qualitative Research
Developing and using qualitative methods used by sociologists to conduct research. Underlying assumptions and limitations
Advanced Seminar in Qualitative Research: Part II
Applications to issues of special education and related educational or human service settings
Advanced Seminar in Quantitative Research Methods I
Reviews, integrates and extends concepts and techniques from introductory statistics and research design. Focuses on intermediate-level statistical techniques including AVOVA, multiple regression, discriminant analysis, and path analysis. Training in SPSS using extant data sets. Student must have completed a graduate course in statistics.
Advanced Seminar in Qualitative Methods I
Expand fieldwork skills and increase theoretical understanding: emphasis on “thinking qualitatively;” intensive fieldwork.
Advanced Seminar in Qualitative Methods II
Applications to issues of special education and related educational or human service settings.
Advanced Seminar in Qualitative Research I
Expand fieldwork skills and increase theoretical understanding: emphasis on “thinking qualitatively;” intensive fieldwork.
Ethnographic Methods: Cultural anthropological research techniques
Cultural anthropological research techniques. Participant observation, various types of interviewing, psychological testing devices, use of photographic tape recording equipment, methods of recording field data, problems of developing rapport
Feminist Methodologies
The feminist critique and its implications for planning, conducting, and reporting on empirical studies.
Quantitative Methods Courses
Secondary Data Analysis Using Social Science Data
A quantitative focus on the research process through practical examples drawn from data sets deposited with Inter University Consortium for Political and Social Science Research
Issues in Multivariate Analysis
Examination of some current issues in multivariate analysis. Most issues examined are based on linear model. Focus varies by term. Examples of topics covered are path analysis, non-recursive models, unmeasured variables and measurement issues
Statistical Consulting
Experience in working with real data taken from current projects in the statistical laboratory and from published papers.
Multivariate Research Methods
Discussion and critique of multivariate research methods, designs, and strategies as applied in contemporary educational research. Practical applications in multivariate research design, implementation, and interpretation of data.
Statistical Analysis in Research Designs
Applications of logic transformation to models for binary responses and design of observational studies. Issues of reliability, research design, and analysis.
Time Series Modeling and Analysis
Fundamental concepts and procedures for forecasting discrete time series for planning and control. Regression analysis, ARIMA methods, econometric modeling, transfer functions, intervention analysis, Kalman filters, univariate and multivariate methods.
Causal Modeling and Analysis
Multivariate Statistical techniques and analysis strategies for formulating and testing causal models using both experimental and non-experimental data sources Path analysis, correlation and causality, sources of estimation-bias interpretation and limitations simultaneous equation models, confirmatory, factor analysis, measurement error and latent variable models, and structural equations.
Multivariate Analysis
Statistical techniques dealing with situations involving many variables. Multivariate analysis of variance, discriminant analysis, canonical correlations, and classification procedures.
Introduction to Structural Equation Modeling
Multivariate statistical model-building and applications of structural equation modeling techniques to date in the behavioral and psychological sciences. Path analysis, confirmatory factor analysis, and structural regression models.
Meta-Analysis
Statistical procedures, as well as practical issues involved in the conduct of meta-analyses.
Program Evaluation
Evaluation of human service programs reflected in students’ field placements. Evaluability assessment. Program description. Posing evaluation questions. Quantitative and qualitative methods of needs assessment, information management, process evaluation, outcome evaluation, cost analysis, reporting results.
Additional Information
Additional statistics classes are available in every department/program. Students should examine the course schedule every semester for possible research methods courses. Faculty advising/mentoring is necessary (there are courses that match specific student interests in observation research, experimental designs etc.) Students may also access the entire list of graduate courses offered in every department/program through the Syracuse University Course Catalog.
Helpful Links
Advanced Seminar in Quantitative Research (EDP791)
Applied Statistics Minor