1. Introduction

2. Background

3. Statement of the Problem

4. Purpose of the Study

5. Conceptual Definitions

6. Independent Variables

7. Dependent Variables

8. Control Variables

9. Types of Variables Dichotomous Polychotomous Continuous Dependent
(Examples Below)
Gender
Ethnicity
Age
XYZ

10. Research Questions

11. Research Questions – Regression
Is there a relationship between (primary independent variable) and dependent variable controlling for control variables.

12. Research Questions – ANCOVA
Is there a difference in the dependent variable as a result of categorical variables controlling for continuous variables.

13. Review of Literature

14. Independent Variable 1 and Dependent Variable

15. Independent Variable 2 and Dependent Variable

16. Methodology

17. Instrumentation

18. Instruments

19. Participants

20. Research Design

21. Research Design Statistical Analysis Multiple Regression
variance explained R2
t - test (dichotomous variables)
Gender
beta weights, zero order and partial correlations (continuous variables)
Four I’s
Contingent Reward
MBE-Passive
Age
Familiarity with online courses
ANOVA and Post-hoc test (dummy variables)
Ethnicity
Educational Classification
Job Status
Expected Academic Outcome

22. Research Design Statistical Analysis Multiple Regression
Variation contributed by each independent variable
Block 1 – Stepwise Method
Follower Age (Continuous Variable)
Follower Gender (Dichotomous Variable)
Block 2 – Enter Method
Follower Ethnicity (Dummy Variables)

23. Research Design Statistical Analysis Multiple Regression
Variation contributed by each independent variable
Block 3 – Enter Method
Follower Familiarity with Online Courses (Continuous Variable)
Block 4 – Enter Method
Follower Educational Classification (Dummy Variables)

24. Research Design Statistical Analysis Multiple Regression
Variation contributed by each independent variable
Block 5 – Enter Method
Follower Expected Outcome of Online Course (Dummy Variables)
Block 6 – Enter Method
Follower Job Status (Dummy Variables)

25. Research Design Statistical Analysis Multiple Regression
Variation contributed by each independent variable
Block 7 – Stepwise Method
Leader MLQ Score
Idealized Influence (behavioral)
Individual Consideration
Intellectual Stimulation
Inspirational Motivation
Contingent Reward
Management-by-Exception – Passive

26. Null Hypothesis

27. Research Questions – Regression
There is no relationship between (primary independent variable) and dependent variable controlling for control variables.

28. Null Hypothesis – ANCOVA
There is no difference in the dependent variable as a result of categorical variables controlling for continuous variables.

29. Ethical Considerations
Voluntary
Anonymous
No sensitive questions are being asked
Can withdraw at anytime without penalty
No incentives
IRB Approval
Per faculty approval