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Graduate Course Proposal Form Submission Detail - HMG6586
Tracking Number - 5371

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Current Status: Approved by SCNS - 2016-04-01
Campus: Sarasota
Submission Type: Change
Course Change Information (for course changes only): Change title to: Research Methods & Statistics for Hospitality Change abbreviated title to: Hospitality Research & Stats Change course description to: The objective of this course is to learn development of hospitality research projects and application of statistical data analysis tools.
Comments: Approved by USFSM 1/29/16. To USF Syst 2/26/16. Ready for SCNS March7 pending Syst Concurrence Clearance. Approved Eff 4/1/16


Detail Information

  1. Date & Time Submitted: 2016-01-19
  2. Department:
  3. College: HM
  4. Budget Account Number: 380600004
  5. Contact Person: Sarah Fayard
  6. Phone: 9413594619
  7. Email: sarahfayard@sar.usf.edu
  8. Prefix: HMG
  9. Number: 6586
  10. Full Title: Research Methods for Hospitality & Tourism
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: N
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Research Methods for Hos
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: The objective of this course is to learn development of hospitality research projects with respect to characteristics of the hospitality industry.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Needed to compete with national trends
  26. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? The proposed change will include statistical data analysis block in the research methods course. This change was supported by all faculty members of the CHTL. The logic of this change is to equip students with data analysis knowledge necessary for successful development of their proposals. This course is required for all Hospitality Master's students, however, a lack of statistical knowledge may prevent students from developing strong research in the hospitality area.

    Also, currently graduate courses are offered on alternative calendar of 8 weeks. The college faculty agreed to include statistics/data analysis block in the research methods course, and offer this course over a 16-week period to allow for better understanding of the course material.

    This is a required course for all Master's students. The statistics/data analysis component that is being added to the course fits in naturally, and will allow students to enhance their understanding of the research process, as well as to develop stronger research with appropriate data analysis techniques.

  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) The qualification to teach this course is a doctorate degree with 18 graduate credit hours in the discipline.
  29. Objectives: 1. Develop analytical and critical evaluation skills of published articles

    2. Identify research problem

    3. Develop research purpose and research question(s)

    4. Find appropriate research methods to study the research question

    5. Identify and apply appropriate data analysis techniques to answer

    the research question(s)

    6. Develop skills and techniques for writing a research paper.

  30. Learning Outcomes: 1. Demonstrate knowledge of independent and dependent variables.

    2. Explain the difference between qualitative and quantitative

    research methods, and different research designs

    3. Formulate a research problem, research purpose, and research

    question.

    4. Select and apply appropriate research designs for quantitative &

    qualitative research.

    5. Select and apply appropriate data analysis techniques to answer

    research questions.

    6. Write and academic paper in APA format.

    7. Discuss research outcomes that add to a specific knowledge base

    and contribute to theory

  31. Major Topics: 1. Steps in developing and conducting academic research

    2. Qualitative and Quantitative research methods

    3. Statistical tools of data analysis

  32. Textbooks: Texts: Altinay, L., & Paraskevas, A. (2008). Planning research in hospitality and tourism. Routledge. ISBN 978-0750681100

    Materials: Statistical Package for Social Sciences (SPSS) software; academic articles

  33. Course Readings, Online Resources, and Other Purchases: The following course schedule is subject to change. Please pay attention to updates delivered in class and on CANVAS.

    Week Topic Assignments Due

    1 Introduction, Course Overview

    2 Introduction to Research Process

    3 Reviewing Literature Quiz 1

    4 Specifying a Purpose and Research Questions or Hypotheses Quiz 2

    5 Sampling and Measurement Quiz 3

    Progress 1: Areas of Interest

    and Research Question

    6 Methods of Data Collection Quiz 4

    Article Critique 1

    7 Survey Research and Scales Quiz 5

    Progress 2: Proposed

    Sampling and Measurement

    8 Experimental Designs Quiz 6

    Article Critique 2

    9 Qualitative Research Designs Quiz 7

    Article Critique 3

    10 Exploring Data with Graphs, Probability Distributions

    Quiz 8

    DLE1

    Article Critique 4

    11 Statistical inference and Hypothesis Testing

    Quiz 9

    Progress 3: Proposed

    Research Design

    DLE2

    12 Group Comparison: T-Test Quiz 10

    DLE3

    Article Critique 5

    13 Group Comparison: Analysis of Variance

    Quiz 11

    DLE4

    14 Regression Analysis Quiz 12

    DLE5

    15 Final Proposal Presentation Proposal Presentation

    16 Final Research Proposal Final Proposal

  34. Student Expectations/Requirements and Grading Policy: a. Quizzes (12 X 20 points)

    b. Discussion Leader (1 X 40 points)

    c. Article Critique (5 X 30 points)

    d. Discovery Learning Exercises (5 X 20 points)

    e. Research Paper Progress Assignments (3 X 40 points)

    f. Term Project

    • Presentation (1 X 50 points)

    • Paper (1 X 100 points)

    Total: 800 possible points

    Letter Grade Percentage Range Verbal Evaluation

    97 - 100% A+ Outstanding

    94 - 96% A Excellent

    90 - 93% A-

    87 - 89% B+

    84 - 86% B Good

    80 - 83% B-

    77 - 79% C+

    74 - 76% C Satisfactory

    70 - 73% C-

    67 - 69% D+

    64 - 66% D Marginal

    60 - 63% D-

    59 or below F Failure

  35. Assignments, Exams and Tests: ASSIGNMENTS

    A. Quizzes

    There will be 12 quizzes to facilitate student knowledge acquisition throughout the semester. The quizzes will be completed at the beginning of each class and will cover the course material addressed in previous class meeting. Make-up quizzes are not allowed.

    B. Discussion Leader

    One or two students will be assigned as discussion leader(s) for each required research article. The goal of this exercise is to facilitate meaningful class discussions. The discussion leader should prepare a one page handout to the class with a brief article summary and a list of discussion questions. The discussion questions should focus on 1) the quality of conceptual model, 2) the methodology issues, 3) potential use and application of results.

    C. Article Critique

    To ensure that students are fully prepared for critical class discussions, each student is required to turn in an article critique for each required research article. Article critiques are meant to teach students how to critically analyze the research methodology and data analysis applied in a given paper. Your critique should be based on the knowledge you learned from the textbook and focused on the methodology and data analysis issues. Article critiques are exempted for papers that student is a discussion leader for.

    D. Discovery Learning Exercises (DLEs)

    Discovery Learning Exercises (DLE) are hands-on assignments to be completed during class or out-of-class. The DLEs present students with a real-life problem to be solved. For each DLE students will receive a question and a data set related to it. Students will be required to answer the question using the appropriate statistical tools. There will be 5 DLEs throughout the course of the semester.

    E. Research Paper Progress Assignments

    In preparation for the final research proposal, students will need to complete and present three progress assignments: one on formulating research questions, another one on proposed sampling and measurement, and the third one on proposed research design. Students will share and discuss their homework in class. The purpose of these research papers is to facilitate the completion of your final research proposal. You will be challenged by your classmates and you will be able to improve and modify your research methodology based on their comments and suggestions

    F. Final Research Proposal and Presentation

    This requirement provides you with an opportunity to develop a research proposal. The paper must end with some interesting issues or questions that need to be addressed by research and a general outline of what sort of research design might be able to address the question. In your paper, justify why the chosen method and design would be most appropriate for your research questions. The final proposal must include the following sections:

    •Introduction: This section should provide an overview of the proposed research (Specific questions that the research purports to address and significance of the proposed research)

    •Literature review: An overview of relevant concepts and principles, theories, and empirical studies

    •Conceptual model, hypotheses and supporting rationale

    •Research design, methodology, and proposed data analysis

    •References

  36. Attendance Policy: Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,

    http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)

    Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)

    In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.

    Attendance is required for all class sessions.

  37. Policy on Make-up Work: All make-up work will be issued in accordance with the University policies

    http://legacy.usfsm.edu/catalog/attendance/procedures-for-excused-absences-and-make-up-work/

  38. Program This Course Supports: This course supports the Master's program in Hospitality Management.
  39. Course Concurrence Information: This course doesn't support any other programs.


- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.