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Toolkit

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Title: Toolkit


1
Toolkit 3 Using Data to Make a Difference
  • Carey Dimmitt , Ph.D.
  • Center for School Counseling Outcome Research
  • Providence, RI
  • February 4, 2005

2
Why Use Data?
  • Data can convince people of the need to change.
  • Data can uncover problems that might otherwise
    remain invisible.
  • Data can confirm or discredit assumptions about
    students and school practices.
  • Data can get to the root of problems, pinpoint
    areas where change is most needed and guide
    resource allocation.
  • Data can help schools evaluate program
    effectiveness and keep the focus on student
    learning outcomes.

3
Why Use Data?
  • Data can provide feedback to counselors, teachers
    and administrators about what is working, what
    needs to continue, and what can be cut.
  • Data can prevent over-reliance on standardized
    test scores.
  • Data can prevent one-size-fits-all and quick-fix
    solutions.
  • Data can give schools the ability to respond
    accurately to accountability questions.
  • Data can help build a culture of inquiry and
    continuous improvement.

4
Why Use Data?Jay Careys Postulates
  • Focusing on data can free people from guilt and
    blame and allow them to have conversations that
    would not happen otherwise.
  • Good people can have bad data.

5
Data-Driven School Counseling Programs
  • Implement comprehensive programs based on
    national design and local need
  • Use data to determine directions and to make
    decisions
  • Measure results
  • Share successes

6
Types of Data
  • The ASCA National Model identifies three types
    of data
  • Process Data
  • Perception Data
  • Results Data

7
Process Data
  • Process Data What was done for whom?
  • Who received services?
  • Seventh graders? Students at risk of failing?
  • What did they receive?
  • Curriculum intervention? Small-group
    intervention?
  • When did they receive it?
  • All year? Twice? For 30 minutes?
  • Where and How was it provided?
  • In the classroom? After school?

8
Process Data
  • Process data alone does not tell us whether or
    not the student is different (in behavior,
    attitude or knowledge) as a result of this
    activity. It tells what events occurred.
  • Coupled with results data, process data can help
    identify what factors may have led to success in
    an intervention.

9
Perception Data
  • Perception data measures how students are
    different as a result of an intervention.
  • Did students gain competencies?
  • Every 10th grade student completed an interest
    inventory.
  • 85 of 6th graders identified the steps in the
    conflict resolution process.
  • Did they gain knowledge?
  • 87 of 9th graders demonstrated knowledge of
    graduation requirements.
  • Were there changes in their attitudes or beliefs?
  • 86 of students believe smoking cigarettes is
    unhealthy.

10
Perception Data
  • Differences in student knowledge, competency
    and attitudes are measured through
  • Pre-post tests
  • What do students know/believe before and after
    the intervention?
  • Completion of an activity
  • Completion of a 4-year plan
  • Surveys
  • What do students say they believe or know?

11
Results Data
  • Results data is the proof that the intervention
    has or has not influenced students behaviors.
    An intervention may occur (process data),
    students may know the information (perception
    data), but the final question is whether or not
    the students are able to utilize the knowledge,
    attitudes and skills to affect behavior (results
    data).

12
Results Data
  • Results data can be complex because many factors
    impact behavior change. A decrease in
    disciplinary referrals for bullying may be the
    result of a violence prevention curriculum, but
    there are likely to be other things influencing
    that outcome as well. Conversely, finding no
    changes in results data does not mean that an
    intervention has necessarily been unsuccessful.

13
Results Data
  • How do we measure what our results are?
  • How do we show that what we do makes a difference?

14
Data Can Be Used To
  • Evaluate interventions and programs
  • Measure results and outcomes
  • Assess cost-effectiveness
  • Monitor student progress
  • Change systems
  • Plan programs

15
Data Can Be Used To
  • Identify needs
  • Describe problems
  • Discover patterns
  • Target interventions
  • Identify best practices
  • Make decisions

16
What Data Do We Use to Measure Results?
  • Student Achievement Data
  • Achievement-Related Psychosocial Data
  • Career Development Data
  • Student Diversity Data
  • School Data

17
Student Achievement Data
  • Norm-Referenced Standardized Tests
  • Criterion-Referenced Standardized Tests
  • Performance Tests
  • Portfolios, Exhibitions, and other proof of
    proficiency
  • GPA, course completion
  • Drop-out rate

18
Achievement-RelatedPsychosocial Data
  • Attendance rates
  • Behavioral problems
  • Discipline referrals
  • Suspension rates
  • Drug, Tobacco, and Alcohol use patterns
  • Parent involvement
  • Extracurricular activities
  • Curriculum benchmarks

19
Career Development Data
  • Post-Secondary Plans/College Placements
  • Financial Aid Offers
  • Vocational Placements
  • Curriculum benchmarks

20
Student Diversity Data
  • Race
  • Gender
  • Limited English Proficient
  • English Language Learners
  • Free or Reduced School Lunch
  • Mobility
  • Special Needs
  • Achievement Quartile
  • Grade

21
School Data
  • Course Taking
  • Gate courses 8th Grade Algebra, Algebra 2
  • Honors and Advanced Placement Courses
  • Special Programs
  • Special Education
  • Bilingual Education Services
  • Academic Support Programs
  • School Culture and Climate
  • Policies
  • Expectations
  • Equity
  • Safety
  • Frequent Evaluations

22
School Data
  • Curriculum
  • Rigorous, Meaningful and Inclusive
  • College Prep (with supports)
  • Instruction
  • Effective Instructional Practices
  • Effective Use of Homework
  • Student and Parent Connection and Engagement
  • Teacher Knowledge and Expectations

23
The RI School Counseling Data Management System
(SCDMS)
  • The amount of data that CAN be gathered and
    looked at is overwhelming. In order to be
    effective, each person has to choose the most
    important data points according to
  • Your school
  • Your district
  • The state
  • The field of School Counseling

24
The RI School Counseling Data Management System
  • Toolkit 3 provides a starting point for
    gathering and thinking about data.
  • First question What is crucial for us to know
    right now?
  • In small groups, decide on a crucial question
    about SC that needs asking in your building.

25
The RI SCDMS Template
  • One important part of the SCDMS is the data
    template. This allows each person to do a random
    sample measure of key student outcomes
  • State test scores
  • Attendance
  • Discipline

26
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27
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28
Excel version of SCDMS
29
What Do We Mean by Random Sample?
  • SC do not have the time to gather data on every
    student in their caseload! If you choose a
    random sample of your caseload, that means that
    you gather data on a specific number of randomly
    chosen students from each group.
  • You can choose to gather data on every 5th
    student for example. If your caseload is 300
    students, thats 60 students.

30
What Do We Want to Know?
  • At the state level, RISCA, RIDE and CSCOR
    identified a few priorities
  • Question 1 How do counselor activities impact
    student outcomes?

31
How Do We Answer Our Question?
  • We do a random sample measure of how you are
    spending your time, using the Daily Activity Log
    or the SC Time Distribution Log.
  • We do a random sample measure of key student
    outcomes (state test scores, attendance,
    discipline), using the SCDMS template.
  • We can answer Q1 How do counselor activities
    (by building) impact student outcomes?

32
What Do We Want to Know?
  • Q2 How do counselor/student ratios impact
    student outcomes?

33
How Do We Answer Our Questions?
  • We gather data on staffing levels and student
    enrollment.
  • We use the random sample measure of key student
    outcomes (state test scores, attendance,
    discipline).
  • We can answer Q2 How do student to counselor
    ratios impact student outcomes?

34
What Do We Want to Know?
  • Q3 Does a more thoroughly implemented CSCP
    impact
  • State test scores?
  • Attendance?
  • Discipline?

35
How Do We Answer Our Questions?
  • We use the School Counseling Program
    Implementation Survey.
  • We use the random sample measure of key student
    outcomes (state test scores, attendance,
    discipline).
  • We can answer Q3 Does a more thoroughly
    implemented CSCP impact on State test scores,
    Attendance, and Discipline?

36
What Do We Want to Know?
  • Q4 What are stakeholder perceptions of the CSCP?
  • Students
  • Teachers
  • Administrators
  • Parents

37
How Do We Answer Our Questions?
  • We use the stakeholder surveys, for ES, MS and
    HS. Stakeholders can be teachers, students,
    administrators, and/or parents.
  • We can answer Q4 What are stakeholder
    perceptions of the CSCP?

38
Summary
  • Using process, perception and results data allows
    school counselors to find out how school
    counseling program components are impacting
    student learning.
  • In todays educational climate, we need to
    constantly assess the effectiveness of programs
    and practices.
  • Efforts that are not leading to higher academic
    outcomes for all students need to be
    re-evaluated.
  • We can show that what we are doing makes a
    difference for all the students in our schools.

39
National Center for School Counseling Outcome
Research
http//www.umass.edu/schoolcounseling/
  • Thank You
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