Cdl research methods.2011


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Cdl research methods.2011

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