Re-write Hypotheses
1.1 - Hypotheses (Quantitative/Mixed-Method Only)
Hypotheses
Two major elements in the research design are the hypotheses and the variables used to test them. A hypothesis is a provisional idea whose merit deserves further evaluation. Two hypotheses, the null (H0) and alternative (H1), are to be stated for each research question. Below are appropriate examples of correlation and quasi-experimental/casual comparative null and alternative hypotheses; note how they mirror the research questions identified above in the Quantitative Research Questions heading. These examples depict predictor/independent variables, which are (a) employee job satisfaction and (b) leadership experience. The dependent variable is company gross revenue. The H0 and H1 reflect the appropriate statistical notation and are to be included. See more on hypotheses at: http://www.socialresearchmethods.net/kb/hypothes.php
Correlation
· Null Hypothesis (H0): The linear combination of employee job satisfaction and leadership experience will not significantly predict employee productivity.
· Alternative Hypothesis (H1): The linear combination of employee job satisfaction and leadership experience will significantly predict employee productivity.
Quasi-experimental
· Null Hypothesis (H0): Employee job satisfaction and leadership experience do not significantly influence employee productivity.
· Alternative Hypothesis (H1): Employee job satisfaction and leadership experience significantly influence employee productivity.