# Case Study: Data Interpretations Assignment

**Case Study: Data Interpretations Assignment**

CASE STUDY: DATA INTERPRETATIONS ASSIGNMENT INSTRUCTIONS

Establishing ORF Baseline Score and End of Year Performance Goal

1. For this part, you will need the following items:

• RTI and Progress Monitoring Presentation

• Case Study for Data Analysis Report The data collected is Oral Reading Fluency Scores, or the

student’s number of words read correctly in one minute (wcpm).

• All documents under Case Study: Data Interpretations.

2. View RTI and Progress Monitoring Presentation.

3. Read the Case Study for Data Analysis Report.

4. Open the Interactive ORF Charts and Graphs for Data Analysis Excel file. In the Case Study

for Data Analysis Report, find the three universal screeners of the Oral Reading Fluency (ORF)

scores. The median score of these three universal screeners will be point 1 for all three graphs.

5. Input one set of data per graph for points 2 through 10. All graphs will have the same point 1,

the median of the universal screener.

6. Lastly, you will input Point 11, goal score, which will be the same for all three graphs. This

point you will need to calculate. The formula is:

(Total weeks monitored) x (average weekly growth) + (median of universal screeners) =

(expected growth for total weeks) or goal

Ethan’s total weeks monitored was 10 weeks; therefore, the formula for the ending goal (Point

11) is below.

10 (# of weeks) x .66 words (rigorous goal for 7th graders, see article) + Median score of

universal screeners or point 1 = Goal (expected growth for total weeks)

10 weeks x .66 + median = Goal (Point 11)

For example: If a student has a median universal screener of 100 wcpm and is monitored for 10

weeks, the formula would be as follows:

(10 x .66) + 100 = 6.6 + 100 = 106.6 or 107 wcpm goal

Note: Generally, there must be at least 10 weeks of an intervention with data collected before

decisions may be made. Also, it is best to round the goal score up because students respond to

your expectations.

7. To identify the average weekly goal for multiple grades, follow the charts in the article,

“Curriculum Based Measurement Reading, Spelling, and Math” (Hosp & Hosp, 2003, pp. 12–13).

This research may also be referenced in your report.

8. After calculating the ending, goal point, input this data beside 11 on each chart. The chart

should automatically populate a regression line or goal line, but you will need to drag the

endpoints to connect Point 1 and Point 11. Do not manipulate the chart in any other way.

9. To summarize… Input the median score for the universal screeners in Point 1. The median

score will be the same for all three graphs. Input the hypothetical data given for Scenarios 1, 2,

and 3. The data plotted for numbers 2–10 will be different based on the scenarios. Input Point 11

based on the information above. The goal score or Point 11 will be the same for all three graphs.

Analyze where the data falls around the line. The RTI and Progress Monitoring Presentation

explains how to interpret the data. When analyzing data around the goal line, use the following

rules:

• If 4 consecutive points are below the line, then the intervention may be ineffective, and the

student may be moved to the next tier in the RTI process. The intervention should be changed.

• If 4 consecutive points are above the regression line, then the student is achieving beyond

expected growth, and the goal may be increased.

• If the data are bouncing around the line, normal reading progression, the interventions should

be continued until the 4-point rule constitutes a change.

• If the trend of the data demonstrates strong variability, such as going from a high score to a

very low score, look at the possibilities for this occurrence, such as a student with ADD forgot to

take medication, a student had changes in instruction or home life, or a passage was too difficult Order 336013464

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or too easy, etc.

10. Using each of the graphs from the 3 scenarios, fill out the Case Study: Data Interpretations –

Analyzing Data Guide. You will type directly into this guide, completing all information (details of

assessment, last column in miscue analysis, and questions answered in complete sentences). At

the end of the guide, you will copy and paste all three graphs. The line will not transfer, so you

need to Insert > line. You can make the line a color, such as red and drag the end points of the

line to connect Point 1 and 11. Without connecting these points, the data cannot be analyzed

correctly

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