mini research

Chi-Square Test Study- Article Critique

Student’s Name

Institutional Affiliation

Research questions: How does leadership style affect organizational performance?

The above study question would the use of a Chi-Square test to reply it. In this research question, the variables are categorical and thus can be solved using the Chi-Square statistical test (American Psychological Association, 2010). Usually, a Chi-Square test is used to examine the existence of a connection between the categorical variables in a population.

In this study, the leadership style is the independent variable. The change in the dependent variable does not influence it. Usually, a change in the independent variable causes a variation in the dependable variable (Apostolou, 2010). Conversely, managerial performance is the dependent variable in this study. In the study, organizational performance is influenced by a change in leadership style. Evidently, in the study there is a direct relationship between the two variables.

The features of variables in this research study are categorical. The method is the most appropriate it participant who will help in data collection encompasses of all employees regardless of the gender issues. (American Psychological Association, 2010). Besides, a criterion method can be used to define the variables of this study since companies use different leadership style to run their operations.

Furthermore, an ordinal scale of measurement is the most suitable way to asses both independent and dependent variables (Apostolou, 2010). Occasionally, an ordinal scale is used to measure variables that have direct effects on one another.

The variables in this study fit well the qualification of the selected for Chi-Square analysis because there is a direct connection between the variables. Besides, there is no manipulation of the independent variable because the variable does not apply causation.

Moreover, in this study, an alternative hypothesis applies because the population parameters are greater than the hypothesized values stated in the null hypothesis (Neill, 2010). The latter implies because there is a direct association between the variable in the research study. Generally, an alternative hypothesis applies where there is a direct association between the variable. Contrarily, a null hypothesis applies where there is no significant connection between the variables.

Usually, there are various types of errors that might occur in a research study. Similarly, in this study, there are specific errors that might occur (Neill, 2010). Some of the errors that might occur are like sampling errors which might arise due using the wrong sampling method. Also, this type of error might occur due to failing to have good sample designs, sample size, and the same appropriate representative.

References

American Psychological Association (2010). Publication manual of the American Psychological Association (6th Ed.). Washington, D.C.: Author.

Apostolou, M. (2010). Parental choice: What parents want in a son-in-law and a daughter-in-law across 67 pre-industrial societies? British Journal of Psychology, 101, 695-704. doi: 10.1348/000712609X480634

Neill, J. (2010). The University of Canberra. Correlation. Available from: http://www.slideshare.net/jtneill/linear-correlation (Links to an external site.)