Writing a Research Hypothesis
Writing a Research Hypothesis
Research Question: Is there a relationship between employee compensation and organizational performance?
Null Hypothesis: There is no relation between employee compensation and organizational performance.
Alternative hypothesis: there exists a relationship between employee compensation and organizational performance.
The study data for this research topic will be gathered from at least three reputable organizations. The sample for the research study will involve employees. Their opinion and work performance will be used as inferences towards determining the appropriate response for the research question. When making statistical inference, there is a high probability of making a type I or II error. A type I error entails rejection of a null hypothesis made by the researcher. In this case, the rejection of the null hypothesis means refuting the claim that ‘There is no relation between employee compensation and organizational performance’. A type I errors in this research study would arise if there was a sampling error and the sample was biased. A type II error can also occur in which the research incorrectly concludes that the null hypothesis should be accepted (Jackson, 2010). In the null hypothesis above, a research would conclude that the null hypothesis ‘There is no relation between employee compensation and organizational performance’ is true. A type II error arises when the data collected differs from the hypothesis that the researcher holds. A type II error can arise when a researcher uses a small sample of participants which reduces the statistical power of the research.
The main concern when trying to avoid making errors lies in determining the type of error that is acceptable in a research study that a researcher is undertaking. In any hypothesis testing, elimination of both type I and II errors is impossible (Jackson, 2010). The researcher is thus tasked with determining the most acceptable errors of the two.
Reference
Jackson, S. (2010). Research methods: a modular approach. Cengage Learning
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