Minor in Social and Behavioral Sciences Methodology (SBSM)

The Minor in Quantitative Behavioral and Social Sciences is a program that provides undergraduate students a broadened and coordinated platform for advanced training in research methodology and practical research experience.

Students electing to minor in SBSM are provided with an opportunity to receive advanced training in quantitative and qualitative methods as applied in the behavioral and social sciences. This Minor allows students to develop graduate-level expertise in applied statistical methods. Students who graduate with this Minor acquire skills that will significantly enhance their career opportunities in areas related to their primary major (e.g., sociology, political science, psychology, a foreign language).

Pre-Requisites for the Minor

Because of the structure of the Minor requirements, students should begin pursuit of the Minor at the end of their Sophomore year or the beginning of their Junior year. A minimum GPA of 3.0 is recommended for admittance to the Minor, but this is not required.

Students must have completed a course in elementary statistics prior to pursuing the SBSM Minor (e.g., COMS 356; MATH 365, 526; POLS 306; PSYC 300; PUAD 332; SOC 510). Any equivalent course may be approved with the consent of the program director.

Requirements for the Minor

Students must complete a minimum of 18 hours of coursework and research experience (minimum 3 units of directed reading/independent study and/or research practicum). The sum of these credits is realized when the following requirements are fulfilled:

  1. A year-long required sequence in the fundamentals of statistical analysis: PSYC 650 and PSYC 651.
  2. A minimum of 3 hours of guided research units within the context of a faculty mentor's program of research: PSYC 480 or PSYC 481.
  3. At least one additional graduate-level course on a more specialized methodological topic (3 credit hours, minimum). The specific course(s) to be taken would be determined based on the student's research needs (point 2 above) and overall career objectives.

Only one course taken to fulfill the requirements of the Minor may be used to fulfill requirements of the student's major.

Key courses that service the SBSM Minor

Already available courses

PSYC 650 Statistical Methods in Behavioral and Social Science Research I (4) Elementary distribution theory; t-test; simple regression and correlation; multiple regression and multiple correlation; curvilinear regression; logistic regression; general linear model. Applications across the behavioral and social sciences are emphasized. Course consists of three hours of lecture and a required one-hour lab session where computing applications are taught. Students taking this course as PSYC 790 will have different course requirements. Prerequisite: a beginning course in statistics (e.g., PSYC 300, MATH 365, POLS 306, COMS 356, SOC 510, or equivalent), or consent of instructor. LEC

PSYC 651 Statistical Methods in Behavioral and Social Science Research II (4) Continuation of PSYC 651. One-way analysis of variance, linear trends, contrasts, post hoc tests; multi-way analysis of variance for crossed, blocked, nested, and incomplete designs; analysis of covariance; repeated measures analysis of variance; general linear model. Applications across the social, educational, and behavior sciences are emphasized. Course consists of three hours of lecture and a required one-hour lab session where computing applications are taught. Students taking this course as PSYC 791 will have different course requirements. Prerequisites: PSYC 650 (a grade of B or better recommended), or consent of instructor. LEC.

PSYC 693 Multivariate Analysis (4) Introduction to the central methods used in the analysis of multivariate data. Includes linear transformations, multivariate analysis of variance, multivariate multiple regression, discriminant analysis, canonical correlation, factor analysis, and an introduction to methods for clustering and classification. Applications across the behavior and social sciences are emphasized. Course consists of three hours of lecture and a required one-hour lab session where computing applications are taught. Students taking this course as PSYC 893 will have different course requirements. Prerequisites: PSYC 650 and 651 (a grade of B or better recommended), or consent of instructor. LEC

PSYC 694 Multilevel Modeling I (4) Introduction to statistical methods for modeling multilevel (hierarchically structured) data. Topics include a review of ordinary least squares regression analysis, random effects ANOVA, intraclass correlation, multilevel regression, testing and probing interactions, maximum likelihood estimation, model assumptions, model evaluation, and the analysis of longitudinal data. Emphasis will be on the theory underlying multilevel modeling techniques and hands-on application using software. Applications across the behavioral and social sciences are emphasized. Course consists of three hours of lecture and a required one-hour lab session where computing applications are taught. Students taking this course as PSYC 894 will have different course requirements. Prerequisites: PSYC 650 and 651 (a grade of B or better recommended), or consent of instructor.. LEC

PSYC 696 Structural Equation Modeling I (4) Introduction to statistical methods for modeling latent variables. Topics include a review of latent variables, covariance structures analysis, mean structures analysis, confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple group CFA, longitudinal CFA, longitudinal SEM, and hierarchical CFA. Applications across the behavioral and social sciences are emphasized. Course consists of three hours of lecture and a required one-hour lab session where computing applications are taught. Students taking this course as PSYC 896 will have different course requirements. Prerequisites: PSYC 650 and 651 (a grade of B or better recommended), or consent of instructor. LEC

​PSYC 697 Longitudinal Data Analysis (3).  Reviews and contrasts various statistical models for the analysis of change.  Course focuses on techniques to analyze longitudinal (repeated measures) data beyond the repeated-measures ANOVA framework.   Applications across the behavioral and social sciences are emphasized.   Prerequisite: PSYC 696 or equivalent, or consent of the instructor.  LEC

Sample Plan

Course Hours
PSYC 650 Statistical Methods in Behavioral and Social Science Research I 4

PSYC 481 Research Practicum (or equivalent research intensive experience with a research active

                faculty member or as an intern in the Center for Research and Data Analysis)

3
PSYC 651 Statistical Methods in Behavioral and Social Science Research II 4
PSYC 696 Structural Equation Modeling I 4
PSYC 694 Multilevel Modeling I 4


Note: At an earlier time, we referred to the Minor as Quantitative Behavioral and Social Sciences (QBSS - the title that the letter writers reference); however, with the inclusion of qualitative methods, we have renamed it Social and Behavioral Sciences Methodology (SBSM)

For information on how to declare the SBSM minor, graduation paperwork for the minor, or additional advising please contact: 

 
Kat McCreery, Academic Advisor 
437 Fraser


.


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