Introduction

  • For my final project, I will be looking at three variables: age, type of session attended, and site. Research question(s):
    • Do college students at higher tuition universities utilize sessions, such as “Shopping on a Budget” less than college students at lower tuition universities? In other words, can students at higher tuition schools be able to afford more of a variety of food and eat out more?
    • Do older college students utilize sessions, such as “Shopping on a Budget”, “Planning Healthy Meals”, less than younger college students? In other words, do older students already have a better ‘grasp’ of these life skills compared to young students who may have not been taught these certain skills?
  • Note: Tuition consists of one semester from the 2021-2022 academic school year. This includes fees and tuition combined for a full-time undergraduate student. This does not include cost of living on-campus/off-campus.

My hypotheses:

  1. I predict that schools with higher tuition will have a lower attendance for their shopping on a budget sessions compared to schools with lower tuition.

  2. I predict that younger adults (18-24), will attend the shopping on a budget sessions more so than older adults.

Summary of each variable

Attendance of Sessions Per Campus
Campus Attendance
Cal Poly San Luis Obispo 46
CSU Chico 316
CSU Dominguez Hills 55
CSU East Bay 89
CSU Long Beach 363
CSU Northridge 448
CSU San Bernardino 51
Fresno State 246
Sacramento State 83
NA 0
Attendance Rate by Type
Type of Session Attendance
Build a Healthy Plate 463
Planning Healthy Meals 221
Rethink Your Drink 207
Shopping on a Budget 700
What’s on a Label? 59
NA 47
Age Range of Participants in Years
Age Range Frequency
18-24 years 1427
25-34 years 197
35-44 years 52
45-59 years 14
60+ years 5
NA 2

First Hypothesis

I predict that schools with higher tuition will have a lower attendance for their shopping on a budget sessions compared to schools with lower tuition.

The following table shows the number of students that attended the single sessions per campus, in order of highest tuition to lowest.

  • Cal Poly has a significantly higher tuition compared to the other campuses and the lowest overall attendance rate for single sessions. Besides CSU Chico, the other campuses with higher tuition have lower attendance rates as well. The campuses with the lowest tuition have the highest attendance rates (besides CSU East Bay).

  • I need to look at how many of each type of session each campus held and include in order of tuition in my graph so it is easier to look at.

Single Session Attendance by Campus

The following graph is looking at how many students attended each session per campus.

  • CSU Long Beach, CSU Northridge, CSU Chico, and Fresno state had the highest attendance rate for all the single sessions offered, among all campuses. Shopping on a Budget is the highest attendance rate among all the campuses. CSUSB and Cal Poly had the lowest attendance rate for every type of class. They may not offer single sessions as much as the other campuses, so this may impact the attendance rate. I can try to see how many of each session the campuses offered, maybe by looking at the date it was offered.

Second Hypothesis

I predict that younger adults (18-24), will attend the shopping on a budget sessions more so than older adults.

The following graph shows how many students in a certain age range attended each type of session overall (not separated by campus).

  • It seems as though shopping on a budget is the most popular session, regardless of age. The second most popular is build a healthy plate. The session “What’s on a Label?” seems to be the least popular among all age groups. If we had more individuals that were 25 years old and up it would give a more clear picture.

Notes

  • When was the class offered? In other words, how many times was the class offered at that certain campus per year?

    • Maybe I can figure this out by creating some sort of chart that groups how many participants went to the same exact class date and same session. Need to figure out how to do this and what type of chart is appropriate.

  • group by campus (function: group_by), count by month

  • finalize first hypothesis

## 
## 01 02 03 04 05 06 07 08 09 10 11 12 
##  6 25 40 64 18  1 18  3 62 39 45  1
## 
## 0021 0022 1996 1998 2000 2020 2021 2022 
##    5    6    1    1    1   76  167   65

Extension

  • include race and ethnicity, student standing (extension if I have time)
  • Focus on CSUSB as an extension (hypothesis; and we can extend this to all other campuses)