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Course Criteria
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3.00 Credits
6100. Seminar in University Teaching for Business Administration. 3 hours. Topics in teaching methodologies. Focus on those topics that provide doctoral students with practical teaching tips to help them become more effective teachers. Different learning styles are addressed and frameworks, theories and teaching models are presented that help doctoral students continually improve their teaching throughout their career.
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3.00 Credits
6220. Applied Regression Analysis. 3 hours. Applications of multivariate regression analysis, canonical correlation analysis and nonparametric statistical procedures to issues in business research involving multivariate data. Topics include building, evaluating and validating a regression model; analyzing models using hierarchical regression, contrast coding, partial correlations and path analysis; and comparing parametric and corresponding nonparametric tests. Prerequisite(s): MSCI 5180 or equivalent and BUSI 6450. May be taken concurrently with BUSI 6220.
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3.00 Credits
6240. Applied Multivariate Statistics. 3 hours. Applications of multivariate statistical procedures involving data reduction techniques and analyzing multidimensional relationships in business research. Topics include multivariate analysis of variance, discriminant analysis, logistic regression, exploratory factor analysis, cluster analysis, multidimensional scaling and conjoint analysis. Prerequisite(s): BUSI 6220.
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3.00 Credits
6280. Applications in Causal and Covariance Structure Modeling. 3 hours. Application of CSM techniques to the analysis of behavioral data in business research. Hands-on practice using LISREL to examine measurement and structural models containing directly observed and latent variables. Provides a solid working knowledge of how to conceptualize measurement and structural models, the standard LISREL and SIMPLIS syntax for estimating these models, and proper interpretation of LISREL output. LISREL assumptions, limitations, tricks and traps are explored. Specific topics include reviews of causality and path analysis, covariance algebra, creating path diagrams and structural equations, LISREL notation and syntax, considerations in model identification, estimation, evaluation and interpretation. Specific application areas include confirmatory factor analysis and its extensions, causal models with directly observed and latent variables. Course also takes a critical look at the analysis of experimental data, modeling quadratic and interaction terms, analysis of ordinal and other non-normal variables. Prerequisite(s): BUSI 6220, 6240 (may be taken concurrently), and 6450. Students must have a thorough knowledge of multiple regression, factor analysis, ANOVA and ANCOVA. Students are also expected to have a solid grasp of the fundamentals of research design, including how to assess the internal and external validity of research designs, as well as how to assess the validity and reliability of multi-item behavioral measures. Exposure to matrix algebra is encouraged.
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3.00 Credits
6450. Business Research Methods. 3 hours. Designed to introduce doctoral students to the methods and measurements of business research, including scientific method, research design and measurement. Focus on topics that provide doctoral students with a better understanding of theoretical frameworks used in research. Form and structure of explanations, laws and theories used in research are examined and discussed. Prerequisite(s): MSCI 5180 or equivalent.
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3.00 Credits
6480. Advanced Issues in Research Design. 3 hours. Experimental and quasi-experimental approaches to solving problems using the scientific method. Observation, generalization, explanation and prediction using experimentation and statistical inference. Statistical principles in experimental design including ANOVA and MANOVA techniques. After completing the course, students are prepared for conducting experiments. Prerequisite(s): BUSI 6450 or equivalent.
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1.00 - 3.00 Credits
6900. Special Problems. 1-3 hours. Open to graduate students who are capable of developing a problem independently. Problem chosen by the student and developed through conferences and activities under the direction of the instructor. Prerequisite(s): approved applications for special problems/independent research/dissertation credit must be submitted to the COBA Student Advising Office prior to registration.
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3.00 Credits
2400. Digital Media Writing. 3 hours (3;1). Emphasis on formats, styles, and how to research content / materia. Introduction to converged broadcast information writing with emphasis in talk magazine, sports, long-form documentary and news formats. Prerequisite(s) : CBCM Pre-major status and completion of university core English composition requirement or consent of department.
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3.00 Credits
3500. Broadcast Media Practicum. 3 hours (3;1). Introduction to shooting, writing, editing, and producing (both audio and video) skills targeting information programming including documentary, sports, magazine formats and news across multiple platforms and distribution modes. Prerequisite(s) : CBCM or RTVF Majors. Consent of department.
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3.00 Credits
3525. Advanced Broadcast media Practicum. 3 hours (3;1). Advanced introduction to shooting, writing, editing, and producing (both audio and video) skills targeting information programming including documentary, sports, magazine formats and news across multiple platforms and distribution modes. Prerequisite(s) : CBCM or RTVF major and CBCM 3500.
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