The purpose of this study was to evaluate and test the theory as to whether physical exercise
positively affects health and quality of life, specifically aimed towards college students. The
research questions addressed in this study were what the associations with health-related quality
of life (HRQOL), goal setting, and physical activity amongst college students were; and what
special contributions of goal setting have on college students who have HRQOL, and physical
activity integrated into their lives. The theory that informed this research was the achievement goal
theory. This theory states that there are two types of goals individuals set for themselves: task goals
and ego goals. Task goals focus on completing a goal for self-fulfillment; while ego goals focus
on completing a goal to compare themselves and compete with others. The research method used
in this study was most definitely qualitative, not quantitative. Quantitative data is data that consists
of gathering and comparing numerical data. Quantitative data, on the other hand, focuses on the
qualities of the test subjects of that specific study.
For this study, the specific research design that is used is a survey design. Survey design is
defined in the textbook as, "A method of asking research participants questions that provides
researchers with a method of information gathering from a large number of people over a relatively
short period of ti
me" (Hark, 2021). The circu
mstances of the study described in the article clearly
match up with this definition. One data collection method used in this study was observation; the
scientists observed the volunteers throughout the course of the study and noted their behaviors and
mentalities throughout the duration of the study. Another method used was surveys and
questionnaires, the test subjects were asked to fill out an assessment of how the experiment has
affected their everyday lives. The analysis that the researchers who conducted this study used for
this experiment were factor analysis. The researchers used this type so that they were able to collect
a large amount of data, then break those samples down into smaller factors to better analyze the
test subjects and the effects the study has had on them.