1 / 16

Title

Title. Author Names Author Pictures. Faculty Advisor: C. Christopher Lee, PhD Lake Superior State University Spring 2014. REASON FOR STUDY. Importance of Topic Lack of Research. PURPOSE OF STUDY. Acknowledgement (optional):. LITERATURE REVIEW. RESEARCH HYPOTHESIS.

Download Presentation

Title

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Title Author NamesAuthor Pictures Faculty Advisor: C. Christopher Lee, PhDLake Superior State University Spring 2014

  2. REASON FOR STUDY • Importance of Topic • Lack of Research

  3. PURPOSE OF STUDY Acknowledgement (optional):

  4. LITERATURE REVIEW

  5. RESEARCH HYPOTHESIS • Hypothesis 1: X1  Y1 • Hypothesis 2: X2  Y1 • Hypothesis 3: X3  Y1 • Hypothesis 4: X4  Y1 • Hypothesis 5: Y1  Y2

  6. RESEARCH FRAMEWORK X2 X1 H1 H2 H5 Y1 Y2 H3 X3 H4 X4

  7. RESEARCH MODEL • Show the equation(s) describing the general regression model: Y1 = b0 + b1X1 + b2X2 + b3X3 + b4X4 Y2= b0 + b1Y1

  8. SAMPLE DATA • Description of Sampling Process • Description of Population • Sampling Method • Sources of Data, etc.

  9. DESCRIPTIVE STATISTICS • Description of Sample Data • Frequency Tables, etc.

  10. CORRELATION ANALYSIS • Insert Pearson Correlation Matrix here.

  11. RESULTS (continued) • Insert the results of Multiple Regression Model (full model) here.

  12. RESULTS (continued) • Insert the results of any reduced models from regression analysis such as Female Model & Male Model, etc.

  13. DISCUSSION • Comparison b/w your results and past studies • Hypothesis 1: X1  Y1 Supported • Hypothesis 2: X2  Y1 Not Supported • Hypothesis 3: X3  Y1 Supported • Hypothesis 4: X4  Y1 Supported • Hypothesis 5: Y1  Y2 Supported

  14. MANAGERIAL IMPLICATIONS • Attempt to make meaningful outcomes from the research results. • You may develop your own model (theory) here. • Write practical Applications of your research here – how decision makers, managers, organizations can benefit from your research results.

  15. DIRECTIONS FOR FUTURE STUDIES

  16. REFERENCES (Selected) • Smith (2013). Impacts of technology on productivity, MIS Quarterly, 4(3), 125-134.

More Related