Title: Measuring Progress on IEP Goals
1Module 2Creating Quality IEPs for Students with
Autism Spectrum Disorders
- Lesson 4
- Measuring Progress on IEP Goals
2Outline
- Importance of data collection
- Data collection for general education placements
- Types of data collection
- Percentage
- Levels of independence/Rating system
- Frequency
- Lists
- Analyzing data
3Importance of Data Collection
- Data must be collected on student progress
towards meeting the IEP goals - At annual reviews this data will be shared with
the IEP team - It is not appropriate to simply state, Yes, the
student has mastered the skill, or No, the
student has not mastered the skill. - Data allows the team to make informed decisions
throughout the implementation of the IEP and when
reviewing the goals each year
4Data Collection for General Education Placements
- When students with ASD are included in general
education classrooms, the type or data collected
should fit with the context of the setting - For example, it is not always appropriate or
possible for general education teachers to take
trial by trial data for every goal the student is
working on - The general education teacher and the special
education teacher should work as a team to decide
who will take what type of data for each of the
IEP goals
5Types of Data Collection
- There are numerous methods for collecting data,
but the following methods will be discussed in
detail as they are more likely to fit within the
context of a general education classroom - Percentage
- Levels of independence/Rating system
- Frequency
- Lists
6Taking Percentage Data
- You may choose to take percentage data for
academic goals and possibly some communication,
social interaction, behavioral, or independent
functioning goals - However, do not choose taking percentage data if
you will tend to make up your percentages
because you can not easily obtain them
7Examples of Goals that You May Choose to Take
Percentage Data
- Math goals
- Spelling/Phonemic awareness goals
- Reading comprehension
- Answering yes and no questions
- Assignment completion
- Following directions
- Responding to social greetings
- Responding to social comments/questions
8Sample Data Sheet for Percentage Data Taking
Goal 1 2 3 4 5 6 7 8 9 10
Yes/no
Count to 5 expressively
Literal Comp ?s 2nd grade
Respond to social comments
Follow one step simple direct.
Decode unfamiliar words 1st grade level
- You can add a students name and date on top. For
each opportunity, you can put a for correct, -
for incorrect, or a P for prompted response. In
the last column take a percentage of the correct
responses out of the total opportunities for each
goal.
9Graphing Percentage Data
- For all percentage data taken, you should then
have a graph for each goal where you record the
percentage for each day data was collected. You
can do this manually or you can use computer
software such as excel. The graph to the left was
created using excel to show data collection
across ten days. It took just a minute or so to
create.
10Level of Independence/Rating System Data
Collection
- If percentage data is not easily done for a
specific goal, you may choose to create a level
system or rating system - For example, for a goal related to maintaining
cooperative play with a peer for five minutes,
you can use a level of independence system such
as - 1 Requires frequent teacher redirection
- 2 Requires teacher redirection 3-4 times
- 3 Requires teacher redirection 1-2 times
- 4 Independent
11Level of Independence/Rating System
Students name __________________________
Goal Date Date Date Date Date Date Date Date Date
Play for 5 min. 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1
- When using a data sheet such as this, you simply
circle the rating for the day. Each day you
connect the circles with a line to create a graph.
12General Level of Independence Data Collection
- It can become quite time consuming to create
rating systems for multiple goals for multiple
students. - Therefore, it may be helpful to create a generic
rating system that can be used for a variety of
goals such as - 1 maximum prompting/assistance
- 2 moderate prompting/assistance
- 3 minimum prompting/assistance
- 4 independent
- For the goals in which a generic rating such as
this do not apply, you can create a rating that
makes sense for those goals.
13Using a Generic Rating System for Multiple Goals
Students name __________________________
Goal Date Date Date Date Date Date Date Date Date
Play for 5 min. 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1
Ask for help 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1
Work indep. for 5 min. 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1 4 3 2 1
- If you are using a generic rating system, you can
put multiple goals on one data sheet. This data
sheet above can be used for two weeks and it
would be on one piece of paper.
14Frequency Data Collection
- For some goals, it may simply make sense to take
frequency counts (use event recording) - An example of a goal for which frequency data
would be appropriate may be The student will
raise his hand at least twice during whole group
instruction lessons to answer teacher questions
15Sample Frequency Data Sheet
Goal Date Date Date Date Date Date Date Date
Raise hand whole group
Initiate a conversation with peer
Use the bathroom independently
Offer to share a toy
- For a data sheet such as this, you can simply put
tally marks in each box to represent the number
of times the student displayed the skill each
day. Just like with percentage data, this
information should then be placed on a graph for
each goal.
16Lists
- For some expressive language goals, none of the
previously discussed data collection tools are
appropriate - Sometimes, simply keeping lists of
words/phrases/sentences used independently is
more appropriate - For example, if a goal is for a student to
expressively label at least 50 different common
objects, keeping a list of the words the students
uses independently is probably the most efficient
and informative way to take data.
17Additional Notes About Data Collection
- There are other methods of data collection such
as duration recording, latency recording, and
momentary time sampling. Detailed instructions
for these are not included, but can be accessed
by communicating with other professionals in your
schools and/or searching on the internet - For some goals, you may want to use a level of
independence/rating system and then periodically
take percentage data (probe) to add to the
objectivity of your data - It is not always necessary to take data on a
daily basis for every IEP goal. Some data may be
taken daily, others bi-weekly, weekly,
bi-monthly, or monthly.
18Analyzing Data
- There is no point in taking data if you are not
going to use it to make instructional decisions - Therefore, the data must be analyzed on a regular
basis for purposes of - Documenting mastery
- Responding to lack of progress
19Documenting Mastery
- Many times, teachers document a goal as mastered
too soon - You should see a definite trend of mastery before
stopping data collection - The trend should be seen at least for a five day
stretch - Even though you may stop taking data after a goal
is mastered, the goal should be continually used
to maintain the skills or built upon for the next
goal - For example if a student masters counting 1-5,
that skill would be built upon as the student
learns to count 1-10.
20Responding to Lack of Progress
- If a student is not making progress, you should
ask the following questions in the exact order - Is the data being taken correctly?
- Are the teaching procedures being implemented as
planned? - Should the teaching procedures be altered or
changed? - Is the goal developmentally appropriate?
- While it may be that the goal needs to be
changed, you should first attempt a variety of
teaching strategies before deciding to change the
goal
21Module 2 Lesson 4 Activity
- Choose two goals from an IEP for a student with
autism - Select a method for collecting data on those two
goals - Submit the goals, a description of your data
collection procedures, the actual data collected,
and an analysis of the data you collected