1 page SPSS Introduction to Quantitative Analysis: Confidence Intervals

The two diagrams here represent two different data where the associate degree data is continuous variable while the high school data is categorical. The categorical data set represent the continuous data set is the kind data that has two extremities while categorical data is infinite (Smithson & Merkle, 2013). From the data there is the general realization that is high school students have not yet made up made up their minds as to the career paths they will take once they finish school. However, students in the university pursuing associated degree are assertive and have made up their minds of their respective career paths.

When it comes to other factors such as proficiency in class, high students are free spirited and not as worried of their grades as students pursuing associate degrees (Rumrill, 2015). The reason for such an observation is that high school students have not matured emotionally, socially and intellectually. Furthermore, they still have numerous opportunities in life to make mistakes but still catch up. However, individuals pursuing their associate degrees are assertive in the knowledge that if they make any mistakes they mind end up being thrown out of campus and that would be the end of their career. Furthermore, they do not have many window years to mess around because everybody expects them to settle in their careers and begin being productive to their families and to the nations (Hoy, 2010). Therefore, it is important for the two groups they represent different types of data. These two variables collected from longitudinal studies demonstrate how the same physical data can demonstrate different migrations when statistical tools of analysis are employed. Therefore, it is important for researchers to put these factors into perspective especially when conducting studies.

References

Hoy, W. K. (2010). Quantitative Research in Education. Washington, DC: Sage.

Rumrill, P. D. (2015). Research in Special Education. New York, NY: Wiley.

Smithson, M., & Merkle, E. C. (2013). Generalized Linear Models for Categorical and Continuous Limited Dependent Variables. Los Angeles, CA: CRC Press.

Figure � SEQ Figure \* ARABIC �1�: Associate Degree

Figure � SEQ Figure \* ARABIC �2�: High School