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SAT & Four Years Of Arts
Central Problem
Argument: Smart Kid Are Predisposed
to Participate in the Arts
 We Need Research To Help Show
Correlation and Causation
 Best Research is Longitudinal With
Compatible Variables (Age, SES,
Gender)
 Pre & Post Testing Helps

FYI 169S Without The Arts…..
Chadron State College, First Year
Inquiry
 Study Relevant Research Studies
 Learn Digital Manipulation of
Image, Sound, Movies, Websites
 Create
Advocacy, Website, Poster, Meme, Ra
dio Commercial, YouTube Video
 Collaboration, Creative
Thinking, Digital Skills

Your Advocacy Team
Kennedy Center KCAAEN Arts
Advocacy Toolkit
 Meet With Your Music Parents
 Include Arts and Theater
 Talk About the Research Studies
 Leaders Attend A School Board
Meeting
 Request Time to Present Research

Your Advocacy Team
Have Someone at Every Meeting
 Be Aware of the Cycle of Budget Talks
 Know who speaks Against Arts
Funding
 Target Them Next Election Cycle

Where To Find Research
NAMM Foundation
 National Endowment For The Arts
 Arts Education Partnership
 Americans For The Arts
 NAfME
 National Assembly of State Arts
Agencies
 President’s Council on Arts and the
Humanities

Advocacy Research
Catterall
James Catterall UCLA
 The Arts and Achievement in At-Risk
Youth: Findings From 4 Longitudinal
Studies
 3 Studies US Dept. of Education
 1 US Dept. of Labor

Catterall: At Risk
National Educational Longitudinal
Study: Data 8th grade- Age 26
 Early Childhood Longitudinal Study: K8
 Educational Longitudinal Study 10th
grade- 20 yrs old
 National Longitudinal Survey of Youth:
12-16 yrs with Data collected through
mid-20s

Catterall: Arts & Socio-Economic
Status (SES)
Population = 25,000 Students
 Top & Bottom Quartile: High SES &
Low SES
 That Population Divided High Arts vs
Low Arts (12.5% each)
 High-Art-Low-SES; Low-Art-Low-SES;
 High-Art-High-SES; Lo- Art-High-SES

Catterall: Assumptions


High SES Expected to Do Well, Easy
Access to the Arts, Encouragement



Low SES At-Risk, Expected to Have
Fewer Advantages



Question: Does High Arts Involvement
Change the Expected Outcomes?
Catterall: Statistics


All Reported % are Statistically
Significant



Too Many Variables To Show
Causation



Long-Term Nature of the Data Shows
“Arts Are Associated” With Improved
Outcomes
Catterall: Average Writing 8th Grade
Test Scores (2007)
Catterall: Mean Math GPA High School
Students (2005)
Catterall: Mean GPA of High School
Students (2004)
Catterall: Mean GPA High School
Students (2005)
Catterall: Did Not Graduate
Rates
Catterall: 8th Graders Who Read A
Newspaper
Catterall: 12th Graders Who
Participated in Student Government
Catterall: Young Adults: Civic &
Community Volunteering
Catterall: Voted in the 2004
Election
Catterall: Occupations: 2008
Catterall: Conclusions


Socially and Economically
Disadvantaged Who Have High Levels
of Arts Engagement Show More
Positive Outcomes Than Their LowArts Peers.
Catterall: Conclusions


At-Risk Students With A History of
Intensive Arts Experience Show
Achievement Levels Closer to, Some
Cases Exceeding, The General
Population
Catterall: Conclusions


Positive Relationships Exist Between
Arts and Civic Engagement.
Schellenberg: Music Lessons
Enhance IQ
E. Glenn Schellenberg Music Lessons
Enhance IQ (2004)
 144 Six-Year Olds into 4 Groups
 Piano Lessons
 Voice Lessons (Kodaly)
 Control: Drama Lessons
 Control: No Lessons
 36 Weeks of Lessons
 Pre-Tested & Post Tested
 12 Dropped Out of the Study

Schellenberg: Music Lessons &
IQ
Pre & Post Test Longitudinal Research
 Tests:
 Wechsler Intelligence Scale for
Children (3ed)
 Kaufman Test of Educational
Achievement
 Behavioral Assessment System for
Children

Schellenberg: IQ Results
Schellenberg: IQ Results
Music Groups 7.0 Average Increase
 Control Groups 4.3 Average Increase
 Drama Group Changes in Social
Behavior

Hyde: Brain Plasticity


Krista Hyde (2009), Musical Training
Shapes Structural Brain Development

1st Longitudinal Research To Correlate
Changes in Brain Structure
 Pre & Post Test Research

Hyde: Brain Plasticity
15 month study with 6 year olds
 No Previous Musical Training
 Matched: Age, Gender, SES
 Two Groups:
Treatment - ½ hour Piano lessons
Control - 40 min general music
class

Hyde: Brain Plasticity
Tests: Behavioral
Near Transfer: Fine Finger Motor
Skills, Melodic-Rhythmic Discrimination


Far Transfer: Object Assemble, Block
Design, Verbal IQ etc.
Tests: MRI Scan for Voxel Changes
Hyde: Results
Significant Differences in Near
Transfer Behavior Tests
 No Significant Differences in Far
Transfer Tests
 MRI: Significant Differences Voxel
Size (3-5mm 3-D Volume) and in
Corpus Callosum p<0.05

Gasser & Schlaug:
Brain Structures Differences
Brain Structures Differ Between
Musicians and Non-Musicians (2003)
 Cross-Section MRI Research
 Measure Gray Matter Volume
 20 Professional Musicians
 20 Amateur Musicians
 40 Non-Musicians

Gasser & Schlaug
Statistical Model Assumed Amateur
Musicians Would Fall Between
Professionals and Non-Musicians
 Significant Positive Correlation
Between Gray Matter Volume and
Degree of Musical Expertise

Conclusion
Arts Research Continues
 Arts Research Can Provide Data
 You Can Help Keep Your Public
Officials Informed.


Dr. G. W. Sandy Schaefer
Chadron State College
sschaefer@csc.edu

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Chadron State College Sandy Schaefer Music Advocacy NMEA 2013

  • 1.
  • 2. SAT & Four Years Of Arts
  • 3. Central Problem Argument: Smart Kid Are Predisposed to Participate in the Arts  We Need Research To Help Show Correlation and Causation  Best Research is Longitudinal With Compatible Variables (Age, SES, Gender)  Pre & Post Testing Helps 
  • 4. FYI 169S Without The Arts….. Chadron State College, First Year Inquiry  Study Relevant Research Studies  Learn Digital Manipulation of Image, Sound, Movies, Websites  Create Advocacy, Website, Poster, Meme, Ra dio Commercial, YouTube Video  Collaboration, Creative Thinking, Digital Skills 
  • 5. Your Advocacy Team Kennedy Center KCAAEN Arts Advocacy Toolkit  Meet With Your Music Parents  Include Arts and Theater  Talk About the Research Studies  Leaders Attend A School Board Meeting  Request Time to Present Research 
  • 6. Your Advocacy Team Have Someone at Every Meeting  Be Aware of the Cycle of Budget Talks  Know who speaks Against Arts Funding  Target Them Next Election Cycle 
  • 7. Where To Find Research NAMM Foundation  National Endowment For The Arts  Arts Education Partnership  Americans For The Arts  NAfME  National Assembly of State Arts Agencies  President’s Council on Arts and the Humanities 
  • 8. Advocacy Research Catterall James Catterall UCLA  The Arts and Achievement in At-Risk Youth: Findings From 4 Longitudinal Studies  3 Studies US Dept. of Education  1 US Dept. of Labor 
  • 9. Catterall: At Risk National Educational Longitudinal Study: Data 8th grade- Age 26  Early Childhood Longitudinal Study: K8  Educational Longitudinal Study 10th grade- 20 yrs old  National Longitudinal Survey of Youth: 12-16 yrs with Data collected through mid-20s 
  • 10. Catterall: Arts & Socio-Economic Status (SES) Population = 25,000 Students  Top & Bottom Quartile: High SES & Low SES  That Population Divided High Arts vs Low Arts (12.5% each)  High-Art-Low-SES; Low-Art-Low-SES;  High-Art-High-SES; Lo- Art-High-SES 
  • 11.
  • 12. Catterall: Assumptions  High SES Expected to Do Well, Easy Access to the Arts, Encouragement  Low SES At-Risk, Expected to Have Fewer Advantages  Question: Does High Arts Involvement Change the Expected Outcomes?
  • 13. Catterall: Statistics  All Reported % are Statistically Significant  Too Many Variables To Show Causation  Long-Term Nature of the Data Shows “Arts Are Associated” With Improved Outcomes
  • 14. Catterall: Average Writing 8th Grade Test Scores (2007)
  • 15. Catterall: Mean Math GPA High School Students (2005)
  • 16. Catterall: Mean GPA of High School Students (2004)
  • 17. Catterall: Mean GPA High School Students (2005)
  • 18. Catterall: Did Not Graduate Rates
  • 19. Catterall: 8th Graders Who Read A Newspaper
  • 20. Catterall: 12th Graders Who Participated in Student Government
  • 21. Catterall: Young Adults: Civic & Community Volunteering
  • 22. Catterall: Voted in the 2004 Election
  • 24. Catterall: Conclusions  Socially and Economically Disadvantaged Who Have High Levels of Arts Engagement Show More Positive Outcomes Than Their LowArts Peers.
  • 25. Catterall: Conclusions  At-Risk Students With A History of Intensive Arts Experience Show Achievement Levels Closer to, Some Cases Exceeding, The General Population
  • 26. Catterall: Conclusions  Positive Relationships Exist Between Arts and Civic Engagement.
  • 27. Schellenberg: Music Lessons Enhance IQ E. Glenn Schellenberg Music Lessons Enhance IQ (2004)  144 Six-Year Olds into 4 Groups  Piano Lessons  Voice Lessons (Kodaly)  Control: Drama Lessons  Control: No Lessons  36 Weeks of Lessons  Pre-Tested & Post Tested  12 Dropped Out of the Study 
  • 28. Schellenberg: Music Lessons & IQ Pre & Post Test Longitudinal Research  Tests:  Wechsler Intelligence Scale for Children (3ed)  Kaufman Test of Educational Achievement  Behavioral Assessment System for Children 
  • 30. Schellenberg: IQ Results Music Groups 7.0 Average Increase  Control Groups 4.3 Average Increase  Drama Group Changes in Social Behavior 
  • 31. Hyde: Brain Plasticity  Krista Hyde (2009), Musical Training Shapes Structural Brain Development 1st Longitudinal Research To Correlate Changes in Brain Structure  Pre & Post Test Research 
  • 32. Hyde: Brain Plasticity 15 month study with 6 year olds  No Previous Musical Training  Matched: Age, Gender, SES  Two Groups: Treatment - ½ hour Piano lessons Control - 40 min general music class 
  • 33. Hyde: Brain Plasticity Tests: Behavioral Near Transfer: Fine Finger Motor Skills, Melodic-Rhythmic Discrimination  Far Transfer: Object Assemble, Block Design, Verbal IQ etc. Tests: MRI Scan for Voxel Changes
  • 34. Hyde: Results Significant Differences in Near Transfer Behavior Tests  No Significant Differences in Far Transfer Tests  MRI: Significant Differences Voxel Size (3-5mm 3-D Volume) and in Corpus Callosum p<0.05 
  • 35. Gasser & Schlaug: Brain Structures Differences Brain Structures Differ Between Musicians and Non-Musicians (2003)  Cross-Section MRI Research  Measure Gray Matter Volume  20 Professional Musicians  20 Amateur Musicians  40 Non-Musicians 
  • 36. Gasser & Schlaug Statistical Model Assumed Amateur Musicians Would Fall Between Professionals and Non-Musicians  Significant Positive Correlation Between Gray Matter Volume and Degree of Musical Expertise 
  • 37. Conclusion Arts Research Continues  Arts Research Can Provide Data  You Can Help Keep Your Public Officials Informed.  Dr. G. W. Sandy Schaefer Chadron State College sschaefer@csc.edu