The primary goal of correlation research is to describe and evaluate the relationships and associations between the variables. In particular, the study seeks to prove the connection between the variables and analyze the main characteristics and nature of this connection (Gravetter & Forzano, 2011).
In addition, it should be noted that correlational approach to the research does not imply explaining the connection and does not relate the goal of manipulating and controlling the identified variables. In most of cases, correlational research includes at least two measurements according to each the variables should be examined. By convention, the results are received while analyzing one individual, or one specific group of individuals.
While analyzing the study, I paid attention to such variable as age of respondents (Rivara et al., 2011). Another variable I have chosen from the workplace, which is job preferences. I have found that job preferences and attitude to performing specific duties differ with age.
Hence, older and more experienced workers are interested in development bonus schemes whereas younger workers are focused on future perspective of professional growth. Judging from the chosen variables, age category should be taken into consideration while analyzing other aspects in the workplace because they can influence performance, employed atmosphere, and overall assessment of employees’ relations.
While analyzing the results of the research, it should be stressed that using two variables together is important for drawing the parallels between specific thematic nodes of a research. While considering the chosen variable, age characteristics have greater connection to many other issues in the workplace. For example, younger employees are more concerned with future perspectives whereas older workers consider social packages and bonus schemes.
1st Interactive Response Cherry, your response about the workplace application of the correlational research is exhaustive. You have successfully managed to present all aspects of positive influence of establishing connections between two variables. More importantly, your study analysis has revealed practical implications and empirical value of using correlational strategies.
Finally, you have effectively drawn the parallels between correlational research and its contribution to statistical analysis, which is of a special value for the given analysis.
2nd Interactive Response Julius, I have carefully considered the two variable chosen by you, which are job completion rate and tenure. They completely differ from my measurements, which involve age and job preferences (responses) establishing relations between each other.
On the one hand, the variables provide a different view on the role of different aspects influences employees’ preferences and career perspectives. Specifically, I am more focused on personal incentives of an employee to work whereas you are more concerned with external factors influencing job satisfaction. However, the similarities between the variable exist in terms of its strong correlation between each other.
Gravetter, F., & Forzano, L-A., B. (2011). Research Methods for the Behavioral Sciences. US: Cengage Learning.
Rivara, F. P., Koepsell, T. D., Wang, J., et al. (2011, June) Comparison of Telephone with World Wide Web-Based Responses by Parents and Teens to a Follow-Up Survey after Injury. Health Services Research. 46(3), 964-981.