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Title: Data Based Decision Making


1
Data Based Decision Making
2
Reading Review
  • Stanovich, 2010
  • Fuchs Fuchs -- Progress Monitoring

3
  • "It ain't so much the things we don't know that
    get us into trouble. It's the things we know that
    just ain't so."
  • -Josh Billings

Perhaps the second most famous humor writer and
lecturer in the United States in the second half
of the 19th century after Mark Twain
4
We Never Know for sure
  • Even practices with the best research base may
    not work for some students.
  • So if you are using a research based
    intervention implement COLLECT DATA!
  • And if you are struggling to identify a
    research-based intervention implement COLLECT
    DATA!

5
Critical Concept Data Based Decision Making
  • Continuous, purposeful process of collecting,
    interpreting, presenting and using data to inform
    actions that support positive educational
    outcomes.
  • Data based decision making considers the
    learners progress within the contexts of
    instruction, curriculum and environment.

6
Necessary components of Assessment
  • When a student is experiencing difficulty,
    several related complementary types of
    assessment should be performed
  • Assessment of the Learner (Student)
  • Assessment of Instruction (or Intervention)
    Curriculum and Environment
  • Learner
  • Instruction/ Intervention
  • Curriculum
  • Environment

7
Measuring -ICE Instruction, Curriculum,
Environment
  • What questions might you have about the
    instruction/intervention or curriculum?
  • Are the instructional/interventions methods
    research based?
  • Implementation fidelity?
  • Is the classroom environment suitable to learning
  • Time on task
  • Instructional time
  • Academic engaged time
  • Opportunities to Respond Correct Responses
  • Positive to Negative Ratio
  • Student problem behavior

8
Models for Data Based Decision Making
  • Problem Solving Models Outcomes Driven Models

9
Supporting Social Competence Academic
Achievement
OUTCOMES
Supporting Decision Making
SYSTEMS
DATA
Supporting Staff Behavior
PRACTICES
Supporting Student Behavior
10
Outcomes Driven Model
  • In an Outcomes Driven Model, the bottom line is
    achievement of essential educational or social
    outcomes
  • What are the desired outcomes?
  • Are students attaining the necessary skills to be
    successful?
  • If not, what changes can we make?
  • Are the changes increasing student progress?

11
Research Based Frameworks Needed
  • How do we know what to measure when?
  • Reading
  • RTI Big 5 Ideas of Reading
  • Math
  • RTI
  • Behavior
  • PBIS, Function of Behavior ABA

12
Big 5 Ideas of Reading
Reading Comprehension
Vocabulary
Oral Reading Fluency Accuracy
Phonics (Alphabetic Principle)
Acquisition
Fluency
Maintenance Generalization
Phonemic Awareness
13
3. Accurately identify those who are on track and
those who will need more support
We must identify struggling students, BEFORE they
fall too far behind
Good, Simmons, Smith (1998)
14
Response to Intervention
Academic Systems
Behavioral Systems
1-5
1-5
5-10
5-10
80-90
80-90
Circa 1996
15
Identify Problems
Team Initiated Problem Solving (TIPS) Model
Develop Hypothesis
Evaluate and Revise Action Plan
Collect and Use Data
Discuss and Select Solutions
Develop and Implement Action Plan
Problem Solving Meeting Foundations
16
Purposes of Assessment
  • Screening
  • Which students need more support?
  • Progress Monitoring
  • Is the student making adequate progress?
  • Diagnostic
  • What and how do we need to teach this student?
  • Outcome
  • Has our instruction been successful?

17
Outcomes Driven Model
Screening
Screening
Outcome
Diagnostic
Diagnostic
Progress Monitoring
18
Effective Data Collection
19
Use the right tools for the right job
  • Screening
  • Progress Monitoring
  • Diagnostic Assessment
  • Outcomes

20
Use Good Tools Technically Adequate
  • Reliability Consistency
  • The extent that an assessment will be consistent
    in finding the same results across conditions
    (across different administrators, across time,
    etc.)
  • If same measure is given several times to the
    same person, their scores would remain stable
    not randomly fluctuate

21
Use Good Tools Technically Adequate
  • Validity extent that an assessment measures
    what it is supposed to measure
  • First we need to know what we should be
    measuring!
  • Research Based Frameworks for Measurement
  • Students who do well on valid reading tests are
    proficient readers
  • Valid assessing reading by having the student
    read a passage aloud and monitoring errors and
    rate
  • Not Valid assessing reading by having a student
    match printed letters on a page (this is an
    assessment matching visual figures)

Draw a line to Match the letters A f U p
w w E A f I U v B p
22
Use Good Tools A Concern for self-developed
assessments
  • Technical Adequacy can be a problem with
    self-developed measures
  • Challenge with Professional Learning Team model
  • Which often rely on teacher-developed assessments
    to measure important student outcomes guide
    decision making

23
Low Inference
  • Students are tested using materials that are
    directly related to important instructional
    outcomes
  • Low inference
  • Making judgments on a childs reading skills
    based on listening to them read out loud.
  • High inference
  • Making judgments on a childs emotional state
    based on pictures theyve drawn

24
Use the tools correctly Standardized
Administration
  • Administered, scored, and interpreted in the same
    way
  • Directions given to students are consistent
  • Student responses are scored in the same way
  • Every student has the exact same opportunity on
    the assessment

25
Efficiency
  • Time is precious in classrooms, efficiency is an
    important consideration
  • When evaluating efficiency of an assessment tool,
    we must consider
  • Time personnel required to design, administer
    and score assessment tools

Design Administration Scoring
PNRTs Already designed Time intensive (1-2 hours/child)
CBA Some already designed, Some teacher-created Quick and Easy (1-10 min/child)
CBM Already designed Quick and Easy (1-10 min/child)
26
Screening
27
1. Compare ALL students to the same grade-level
standard
  • ALL students are assessed against the grade
    level-standard, regardless of instructional level
  • "If you don't know where you are going, you will
    wind up somewhere else.
  • Yogi Berra

28
2. Be efficient, standardized, reliable, and valid
  • Robust indicator of academic health
  • Brief and easy to administer
  • Can be administered frequently
  • Must have multiple, equivalent forms
  • (If the metric isnt the same, the data are
    meaningless)
  • Must be sensitive to growth

29
3. Accurately identify those who are on track and
those who will need more support
We must identify struggling students, BEFORE they
fall too far behind
Good, Simmons, Smith (1998)
30
4. Evaluate the quality of your schoolwide
instructional system
  • Are 80 of your students proficient?
  • Are 80 of students reaching benchmarks and on
    track for next goal?
  • If not, then the core curriculum needs to be
    addressed

31
What are Screening Tools?
  • Screening Tools
  • Not Screening Tools
  • DIBELS
  • Oral Reading Fluency
  • Maze
  • EasyCBM
  • CBM Math Computation
  • CBM Writing Story Starters
  • CBM Algebra
  • CBM Early Numeracy
  • Quick Phonics Screener
  • QRI-IV
  • DRA2
  • Running Records
  • Report cards
  • Meeting OAKS standards
  • Core curriculum weekly tests on skills that are
    learned

32
  • One Page of a 3-Page CBM in Math Concepts and
    Applications (24 Total Blanks)

33
Previous Years Discipline data
Who needs to be on our radar from Day 1?
Who had FBA/BSPs last year?
Which students moved on? Which are returning this
year?
Can we get data for our incoming class new
students?
Decision Rule
34
Progress Monitoring
35
Progress Monitoring Tools
Brief Easy
Sensitive to growth
Equivalent forms
Frequent
36
Where are we?
What is our goal?
What course should we follow?
How are we doing?
37
Progress Monitoring The GPS for Educators!
38
Purpose of Progress Monitoring
  • Answers the question(s)
  • Are the children learning?
  • How can we tell?
  • Are they making enough progress?
  • Can we remove some of our supports?
  • Do we need to change or intensify our supports?

39
How often do you progress monitor students?
  • Determined by district decision rules and level
    of need
  • Best practice recommendations
  • Intensive 1-2 x per week
  • Strategic 1x or 2x per month

40
How do we know if a student is making adequate
progress?
Decision Rules
41
Questions to Consider
  • How many data points below the line before you
    make a change in instruction/intervention?
  • What do you change?
  • Group size?
  • Time?
  • Curriculum?
  • Other factors?

42
Progress Monitoring
Phonics for Reading
43
We do not use progress monitoring data to
  • select specific short-term instructional goals
  • take a lot of time away from instruction
  • diagnose educational problems
  • assign grades to students
  • evaluate teachers

44
What are Progress Monitoring Tools?
  • Progress Monitoring Tools
  • Not Progress Monitoring Tools
  • DIBELS
  • Oral Reading Fluency
  • Maze
  • EasyCBM
  • CBM Math Computation
  • CBM Writing Story Starters
  • CBM Algebra
  • CBM Early Numeracy
  • Quick Phonics Screener
  • QRI-IV
  • DRA2
  • Running Records
  • Report cards
  • Meeting OAKS standards
  • Core curriculum weekly tests on skills that are
    learned

45
  • Progress Monitoring data tell us WHEN a change is
    needed
  • Progress Monitoring data does not always tell us
    WHAT change is needed

46
Point Card
47
Look at Individual Student graph for Targeted
Student(s)
48
Diagnostic Assessment
  • Answer the question.
  • Why?

WARNING! Critical Thinking Skills may be Required
49
Collecting Diagnostic Data
  • The major purpose for administering diagnostic
    tests is to provide information that is useful in
    planning more effective instruction.
  • Diagnostic tests should only be given when there
    is a clear expectation that they will provide new
    information about a childs difficulties learning
    to read that can be used to provide more focused,
    or more powerful instruction.

50
Diagnostic Assessment Questions
  • Why is the student not performing at the
    expected level?
  • (Defining the Problem)
  • What is the students instructional need?
  • (Designing an Intervention)

51
Digging Deeper
  • In order to be diagnostic
  • We need to know the sequence of skill development
  • Content knowledge may need further development

52
Enabling Skills
  • Enabling skills are skills that could be
    considered prerequisite skills for the
    demonstration of proficient performances on
    larger assessments measures
  • They represent the sub-skills of higher order
    performance demonstration
  • Deficiencies in enabling skills will often result
    in lower performance on assessments

53
Phonemic Awareness Developmental Continuum
Vital for Diagnostic Process!
Hard
  • Phoneme deletion and manipulation
  • Blending and segmenting individual phonemes
  • Onset-rime blending and segmentation
  • Syllable segmentation and blending
  • Sentence segmentation
  • Rhyming
  • Word comparison

IF DIFFICULTY DETECTED HERE..
Easy
54
Reading Diagnostic assessments may include
  • In curriculum assessments
  • Quick Phonics Screener
  • Weekly assessment data
  • Unit and Benchmark assessment data
  • Survey Level Assessments
  • Error Analysis or Running Records
  • Any formal or informal assessment that answers
    the question
  • Why is the student having a problem?

55
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56
Survey Level Assessment
  • Start at expected level and move backward until
    specific skill deficits are identified
  • Match interventions to address specific skill
    deficits
  • Example
  • 2nd Grade Math Assignment Double Digit Math
    FACTS sheet (,-,x,/) -- student cannot do
  • Progress backward in assessment to see where
    student can be successful
  • Cannot do basic facts division ? multiplication ?
    or double digit subtraction or addition
  • Can do single digit addition to 5 successfully

57
Error Analysis
  1. Select a 250 word passage on which you estimate
    that the student will be 80-85 accurate.
  2. Record the students errors on your copy of the
    reading probe.
  3. Use at least 25 errors for students in grade 1 to
    conduct an error analysis and at least 50 errors
    for students in second grade and above.
  4. Use an error analysis sheet to conduct error
    analysis.

58
Error Analysis
59
We do not use diagnostic data
  • for all students
  • to monitor progress towards a long-term goal
  • to compare students to each other

60
Outcome
  • Was the goal reached?
  • Often times, the same assessment as your screener
  • Can be CBM, State-testing (OAKS), other high
    stakes assessments.
  • Should be linked to district standards and
    benchmarks
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