Intervention Report Single Student

A. Student information

student image

Variable	Value
Name/ID	Debbie Doe
Class/course/unit	Collaboration 101
Gender	Female
Age	13
Native language	English

B. Description of design and rationale for the intervention

This intervention takes the general form of an AB Design. The goal is to help this student to gain more confidence in interacting with others. For this, students engage in…

C. Lesson plan

This is how the lesson (or activtiy) will be structured:

Teacher action	Student action	Materials
Step 1		powerpoint
Step 2	input 1	Web
Reflection
(…)	(…)	(…)
Step k

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More on lesson plan…

D. What got observed?

I let the student self-rate the level of confidence on a scale from 0 (zero confidence) to 20 (extremely confident), using a mobile app on her phone. The measurement interval was 5 times per day, over 5 days. The intervention took place at the last class of day 3.

Video recording:

It is not possible to run a (youtube) video or such in the document, but clicking on the image will bring the viewer to the video on youtube.

Justification for the measure:

What is warranting the use of this variable as an indicator for measuring the effect of the intervention?

The data points could get entered directly in this document, like so:

AB <- c((A, value) (A, value), ...., (B, value), (B, value)...) 

E. Findings

The AB observations look like this:

graph(design = "AB", data = AB)

From this it seems that the intervention was successful.

Let’s look at the variability of the scores.

graph.VAR(design = "AB", VAR = "TR", CL = "bmead", data = AB)

Information about variability in the data is displayed by three methods. Range bar graphs consist of a vertical line for each phase, created by connecting three points: an estimate of central tendency ((trimmed) mean, (broadened) median, M-estimator), the minimum and the maximum. Range lines consist of a pair of lines parallel to the X-axis, passing through the lowest and highest values for each phase, and superimposed on the raw data. Trended ranges display changes in variability within phases. For all these methods, the influence of outliers may be lessend by using a trimmed range, in which only a sample of the data set is used.

F. Conclusions based on the observations and analyses

The intervention in this case was/was not successful….

F. Caveats and suggestions for improvements

• What more do we need to find out?
• What might have gone wrong?
• How certain are we that this is the correct conclusion?