SAFMEDS wk1
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School
California Polytechnic State University, Pomona *
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Course
MISC
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
docx
Pages
3
Uploaded by PrivateTurtleMaster2185
Figure 1.1 Student ABC Acquisition Standard Celeration Chart
Chart 2.1 Student ABC Acquisition Raw Data
Figure 2.1 Acquisition Application Deck Report
Results
BEST OF THE DAY
ALL RESULTS
Correct
Incorrect
Skipped
Duration
Date
29
1
0
00:30
10/29/2023 04:53 PM PDT
19
1
1
00:30
10/28/2023 01:50 AM PDT
17
0
0
00:30
10/26/2023 10:21 PM PDT
5
0
1
00:30
10/24/2023 11:55 PM PDT
Chart 2.2 Acquisition Application Deck Report Timeline
Data Analysis
Figure 1.1 presents the data collected for the week of October 23
rd
-29
th
while studying
Deck 1 of SAFMEDS for ABA 620. Acquisition accel data for the week demonstrates an upward
trend and is present with high variability. The variability is hypothesized to be due to not being
consistent this week with the daily timings. Below is a proposed revision to address this issue.
The last accel data point of the week was at 29, therefore AIM was met and maintained
throughout the timings. A total of 2 cards were skipped within the timings. Acquisition decel
data is present with a downward trend and low variability with one outlier. The last decel data
point was 0.
Study Approach and Adjustments
Antecedent:
Based on the results for week one, it is safe to say that my current study plan
is effective. After completing baseline data, I made physical cards to study and chose a specific
color to highlight the information. Additionally, I set out specific times to study and spread out
my study sessions so that I do not feel overwhelmed. I study at least 2-3 times a day, and always
at least once prior to doing the daily timings. Then I set a weekly goal of 14 accel within Deck 1.
While I did not have a reinforcer, I am intrinsically motivated and enjoy seeing my progress as it
pushes me to do better. In the future, if I notice that this method of studying is no longer
effective, I will implement a reinforcer to motivate me.
Behavior:
On day 1, I run one 30-second timing for my baseline data point. Then on days 2
through 5, I consecutively ran five 30-second timings. As soon as I am finished with the timings,
I enter the best data point into CR’s celeration chart.
Consequence:
I tend to do my timings at night because that is usually when the house is quiet,
thus eliminating any conditions that may influence my results. Because I enter the latest data
point into the celeration chart, I am always able to reflect on the data to determine whether the
AIM is foreseen to be met and/or if there is variability in the data. This week’s acquisition accel
data has high variability, despite the AIM being met and maintained. To revise the high
variability issue, I will implement a reinforcer to ensure I do daily timings. The proposed
adjustment is down below. For decel cards, I will spend an additional 10 minutes studying.
Adjustments:
As a reinforcement procedure, I will do my 5 timings starting Monday through
Friday and data input by 10 p.m. daily and reward myself with an extra 30 minutes of screen
time. I also bought a planner to maintain an effective schedule and accountability.
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