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  • 1. CDL Research Methods: A Panel Discussion
    Dee Britton
    Joyce Elliott
    Michele Ogle
    Patrice Prusko-Torcivia
    Magdy Roufaiel
  • 2. CDL Research Methods Commons Site
    CDL Research methods
  • 3. Quantitative Methods for Management
    Magdy Roufaiel
  • 4. Quantitative Methods for Management (SMT-214104) is a course designed for individuals who are interested in “hands-on” experience with quantitative aspects of managerial decision making. By the end of the course, the student should be able to:
    • Use Excel as a tool for modeling a business management problem and finding specific solutions.
    • 5. Describe and be able to apply linear and network models to assigned problems.
    • 6. Use the tools of linear programming.
    • 7. Use decision analysis for decision making under uncertainty.
    • 8. Apply regression and time-series models for forecasting.
    • 9. Apply learned concepts and methods to solve real-world problems as demonstrated by successful completion of a finalproject.
  • Basic Learning Activities and Teaching Strategies:
    Assess students’ knowledge and learning ability/progress at start and throughout the course period.
    Provide learning and guidance tools (Self assessments, tutorial tools, solution templates).
    Use standard available online learning tools to access background, related disciplines, and advanced information.
    Use technology to substitute “missing” face-to-face learning (Live lectures, Live office hours, YouTube videos).
    Utilize latest technology advances.
    Offer course projects to suite various students’ learning interests and capabilities.
    Encourage group learning.
  • 10. Learning Activities
    (6) Course Project
  • 11. Quantitative Research: Design and Methods
    Joyce Elliott
  • 12. Quantitative Research: Design and Methods
    Foundations of Social Science Research (weeks 1-2)
    Social Science Research Ethics (weeks 3-4)
    Conceptualization and Measurement (weeks 5-6)
    Quantitative Design (weeks 7-9)
    Quantitative Analysis (weeks 10-14)
    Integration of the Research Process (week 15)
  • 13. RJ5: Introductory Steps
    Identify which of 3 national data sets is being used
    State formal hypotheses about relationships among key variables
    Identify independent and dependent variables
    Identify which item(s) from the data set will be used to measure each variable
    Individual Analysis of National Data Set Using SPSS (Weeks 10-14)
  • 14. RJ5: Data Analyses
    Create one scale variable
    Recode one variable
    Complete univariate analyses of key variables
    Complete bivariate analyses of key relationships
    Complete multivariate cross-tab analyses of key relationships
    Complete regression analysis
    Individual Analysis of National Data Set Using SPSS (Weeks 10-14)
  • 15. RJ5: Presentation of Findings
    Present data in tables and visuals
    Interpret key findings in writing
    Present conclusions about causal relationships among variables
    Link findings to the literature review prepared for RJ4
    All of the RJ’s are parts of the final research project, RJ6
    Individual Analysis of National Data Set Using SPSS (Weeks 10-14)
  • 16. Market Research
    Patrice Prusko-Torcivia
  • 17.
  • 18. Market Research Proposal
    Introduction (State your purpose succinctly in declarative sentences. Tell why your study is needed.)
    Background and Significance
    Indicate what led to the recognition of the need for the research.
    Cite relevant literature and clearly relate it to your study. (Include quotes)
    Further expand on the justification of your study, particularly to the firm or organization.
    Discuss briefly the alternative courses of action.
  • 19. Procedures
    Discuss the underlying causes of the situation.
    Define your population and sample.
    State your research questions and hypotheses.
    Provide operational definitions of variables.
    State complete, exact procedures that your reader could duplicate. Be sure these are practical and will accomplish your purpose.
    State your statistical analysis precisely.
    State the limitations and assumptions underlying your research.
    Provide a copy of your data collection instrument which must be a survey instrument that you develop.
    Discuss specifically how you will establish validity/reliability of that instrument.
  • 20. Conclusion
    State exactly what you expect your study to produce or change; relate it to your organization.
    Check that your expected outcomes are appropriate for your purpose and could logically result from your procedures.
    Indicate how you will present the results. Show charts/tables that will demonstrate your findings. Be sure to include your results for all research questions and hypotheses.
    Follow the APA style manual. Be sure to document your sources.
    Include a cover sheet and label for each appendix. Refer to all appendices in your paper.
  • 21. Statistics: An Activity-Based Approach
    Michele Ogle
  • 22. Statistics: An Activity Based Approach
    The Final Project: a culminating activity for students to demonstrate what they have learned about statistics
    What the student will produce:
    Project proposal (week 10)
    Analysis plan identifying the statistical tools that will be used (week 12)
    Rough draft of the project (week 13)
    Abstract to share with other students (week 13)
    Masterpiece of statistical analysis pleasingly and professionally presented! (week 15)
  • 23. FP Proposal (week 10)
    Identify project title and describe the subject
    Explain why the topic is important
    Identify possible sources of data
    State how many observations and variables, and why
    Suggest what analysis techniques may be used
    Describe any possible limitations in the data
    FP Analysis Plan (week 12)
    Identify data in more detail
    Outline graphs, statistical tests, hypotheses for analysis
    Requirements: graphs of data, numerical summaries, minimum of 2 significance tests and 1 confidence interval
  • 24. FP Masterpiece (week 15)
    Contents of Report Document
    Abstract and Table of Contents
    Problem Statement:
    description of problem, reason for study
    explain data sources, data manipulations, analysis methods
    graphs, tables, variables examined, summary of calculations, test results
    interpretation of results in terms of overall problem statement
    present any issues encountered with data or analysis, further studies or suggested improvements
    data and calculations details (may be in separate spreadsheet)
  • 25. Survey of Social Science Research Methods
    Dee Britton
  • 26. Module 1 Workshop: students propose and critique possible research questions
    Research Journals:
    Module 1:
    Formulate a research question
    Module 2:
    Annotated bibliography (minimum 10 academic sources) and 3 key themes from the works
    Module 3:
    Research question from a quantitative perspective
    Module 4:
    Research question from a qualitative perspective
    Module 5
    Clearly articulate the research question and identify the methodology
  • 27. Module 6: Formal Research Proposal
    Establishment of the problem or research question
    Literature review
    Hypothesis, if it is causally-oriented quantitative study; if it is descriptive or qualitative, define study objectives
    Research design: methodology, reasons for this design, sample structure
    Data gathering procedures (example of instrument(s) as appendixes)
    Discussion of ethical issues.
    Data analysis:
    Quantitative studies: statistical analysis; description of the statistical procedures to be used
    Qualitative studies: procedures for analysis including methods of categorizing, coding system, conclusion extraction
    Appendixes: instruments, forms and letters.
  • 28. QUESTIONS?