ABA 624 SAFMEDS Week 2

ABA 624 SAFMEDS Week 2 Figure 1.1 Student ABC Acquisition Standard Celeration Chart Chart 1.1 Student ABC Acquisition Raw Data Figure 2.1 Acquisition Application Deck Report
Chart 2.2 Acquisition Application Deck Report Timeline Chart 3.1 Fluency Application Deck Report Chart 3.2. Fluency Application Deck Report Data Analysis Figure 1.1 displays data for the week of July 9 th to July 13th of the SAFMEDS for Deck 1 of ABA 624. Acquisition accel data over the week is present at a high level with an increasing trend and moderate variability. The variability is hypothesized to be attributed to me running timings at inconsistent times during the day. To address this, a proposed revision is below. The last accel data point is at 15, indicating that the AIM has been met. Acquisition decel data is a present with a downward trend and moderate variability. The variability is hypothesized to be the same reason as the variability for acquisition accel.
Figure 3.1 displays the fluency data collected for the week of July 9 th to July 13 th . Accel data is at a high level with low variability. This indicates that fluency is continuing to be maintained. Fluency decel is present at a low level with low variability. Study Approach and Adjustments Antecedent: I continued to study for a minimum of 30 minutes each day. I determined that my reinforcer for the week would be a baseball game on Friday should I meet the AIM of 14. I continued to study and run my timings in an environment where I would be less likely to be distracted such as in my room. On days that I had extra work I needed to get done, I set an alarm in my phone to not forget to run my timings. When studying the SAFMEDS cards I continued to run a study timing by reading the front and back out loud and then running them as I would real-time for my last round by reading the front and saying the back out loud. Additionally, I watched the synchronous session early in the week, as it has been more beneficial for me to get an in-depth understanding of the terms and definitions. Behavior: On each timing day I run five 30-second timings across 5 days. At the end of each timing for the day I enter in the best data point into Precision X. For my fluency deck I run a minimum of three 30-second timings across 5 days. For both the acquisition deck and the fluency decks, I analyze the data at the end of the day to determine if I'm expected to meet the AIM and what modifications are needed. Consequence: After I entered in the data for the best timing into Precision X. I made sure to keep track of the time that I was running the timings to determine if I noticed a pattern with the timings and my highest data point. Since I was able to meet the AIM for the end of the week I am able to go to the baseball game with my friends. Since moderate variability was observed for my acquisition accel data, a proposed adjustment is below. I hypothesize that my running timings late at night is have a negative effect on my data points. Adjustments: To address the variability in my data, I plan to set an alarm to run at least one timing each morning. Should the variability decrease with the earlier times, I'll continue to run timings earlier in the day.
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