years of psychometric and research advances in school psychology l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
School Psychology PowerPoint Presentation
Download Presentation
School Psychology

Loading in 2 Seconds...

play fullscreen
1 / 77

School Psychology - PowerPoint PPT Presentation


  • 418 Views
  • Uploaded on

School Psychology

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'School Psychology' - guest432


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
years of psychometric and research advances in school psychology

NASP 2001

Years of Psychometric and Research Advances in School Psychology

Fifty

Richard W. Woodcock

April 19, 2001

three strands
Fifty years of …

Cognitive theory and assessment

Three Strands
three strands3
Fifty years of …

Cognitive theory and assessment

Psychometrics and test development

Three Strands
three strands4
Fifty years of …

Cognitive theory and assessment

Psychometrics and test development

Research techniques and tools

Three Strands
slide5

Path of Progress

Better Better Better Better

Cognitive Cognitive Inform- Instructional

Theory Tests tion Planning

slide10

Conceptualizations of Intelligence

Single

General

Ability

Pair

of

Abilities

slide16

Conceptualizations of Intelligence

Single

General

Ability

Pair

of

Abilities

Incomplete Set of

Broad

Abilities

slide21

Conceptualizations of Intelligence

Single

General

Ability

Pair

of

Abilities

Incomplete Set of

Broad

Abilities

“Complete”

Set of

Broad

Abilities

slide22

Nine Broad CHC Factors

  • Stores of Acquired Knowledge
  • Comprehension-Knowledge (Gc)
  • Reading-Writing (Grw)
  • Mathematics (Gq)
slide23

Nine Broad CHC Factors

  • Stores of Acquired Knowledge
  • Comprehension-Knowledge (Gc)
  • Reading-Writing (Grw)
  • Mathematics (Gq)
  • Thinking Abilities
  • Long-Term Retrieval (Glr)
  • Visual-Spatial Thinking (Gv)
  • Auditory Processing (Ga)
  • Fluid Reasoning (Gf)
slide24

Nine Broad CHC Factors

  • Stores of Acquired Knowledge
  • Comprehension-Knowledge (Gc)
  • Reading-Writing (Grw)
  • Mathematics (Gq)
  • Thinking Abilities
  • Long-Term Retrieval (Glr)
  • Visual-Spatial Thinking (Gv)
  • Auditory Processing (Ga)
  • Fluid Reasoning (Gf)
  • Cognitive Efficiency
  • Processing Speed (Gs)
  • Short-Term Memory (Gsm)
slide31

Conceptualizations of Intelligence

Single

General

Ability

Pair

of

Abilities

Incomplete Set of

Broad

Abilities

“Complete”

Set of

Broad

Abilities

Narrow

Abilities

Underlying

Broad

Abilities

slide32

Examples of Narrow Abilities

Comprehension-Knowledge (Gc)

Language development (LD)

General information (K0)

Listening ability (LS)

slide33

Examples of Narrow Abilities

Comprehension-Knowledge (Gc)

Language development (LD)

General information (K0)

Listening ability (LS)

Long-Term Retrieval (Glr)

Associative memory (MA)

Meaningful memory (MM)

Naming facility (NA)

slide34

Examples of Narrow Abilities

Comprehension-Knowledge (Gc)

Language development (LD)

General information (K0)

Listening ability (LS)

Long-Term Retrieval (Glr)

Associative memory (MA)

Meaningful memory (MM)

Naming facility (NA)

Short-Term Memory (Gsm)

Working memory (WM)

Memory span (MS)

slide36

6

5

CONCEPTUALIZATION LEVEL

4

3

2

1

0

1910

1920

1930

1940

1950

1960

1970

1980

1990

2000

2010

YEAR OF PUBLICATION

Trend of Conceptualizations

slide37

The Good News …

Tests of the future will be more informative.

slide38

… and the Bad News

Tests of the future will be more informative.

Tests of the future will be more complex as test developers close the gap between cognitive theory and practice.

slide39

CHC Cognitive Performance Model

Stores of

Acquired Knowledge

(Gc. Gq, Grw)

Thinking Abilities

(Glr, Gv, Ga, Gf)

Cognitive/Academic

PERFORMANCE

Cognitive Efficiency

(Gs.Gsm)

slide40

CHC Cognitive Performance Model

Stores of

Acquired Knowledge

(Gc. Gq, Grw)

Thinking Abilities

(Glr, Gv, Ga, Gf)

Cognitive/Academic

PERFORMANCE

Cognitive Efficiency

(Gs.Gsm)

Facilitator-Inhibitors

(Internal, External)

slide41

Two Concomitant Developments

Joint factor analysis studies

Cross-battery assessment

slide42

Institute for Applied Psychometrics

www.IAPsych.com

Join the Cattell-Horn-Carroll (CHC) Discussion Listserv at….

  • At IAP home page click on
  • “Join one of IAP listservs”
  • On listserv page, enter your email address
  • in the box provided and then click the
  • ‘Join List' button
  • Follow instructions as provided
  • Enjoy
slide43

Psychometrics & Test Development

  • 1. The Test Standards
  • 2. Rasch model analysis
  • 3. Co-norming of cognitive and achievement tests
slide45

Test Standards

1954: Technical Recommendations for Psychological Tests and Diagnostic Techniques

slide46

Test Standards

1954: Technical Recommendations for Psychological Tests and Diagnostic Techniques

1966, 1974, 1985, 1999: Standards for Educational and Psychological Testing

slide47

Psychometrics & Test Development

  • 1. The Test Standards
  • 2. Rasch model analysis
benefits from rasch modeling50
Sample-free calibration

Item-free measurement

Simplified equating of tests

Benefits from Rasch Modeling
benefits from rasch modeling51
Sample-free calibration

Item-free measurement

Simplified equating of tests

Item difficulty and person ability are on same scale

Benefits from Rasch Modeling
benefits from rasch modeling52
Sample-free calibration

Item-free measurement

Simplified equating of tests

Item difficulty and person ability are on same scale

Extends variety of interpretation options for test

Benefits from Rasch Modeling
slide53

Psychometrics & Test Development

  • 1. The Test Standards
  • 2. Rasch model analysis
  • 3. Co-norming of cognitive and achievement tests
slide54

Research Techniques and Tools

    • Computing equipment
slide55

Research Techniques and Tools

1. Computing equipment

2. Statistical methods

slide56

Computing Equipment

The thrill of being on the edge of technology 50 years ago!

slide57

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
slide58

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
slide59

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
slide60

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
  • Mainframe computers
    • 24K memory, punch cards
slide61

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
  • Mainframe computers
    • 24K memory, punch cards
  • Seven-step desktop computer
slide62

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
  • Mainframe computers
    • 24K memory, punch cards
  • Seven-step desktop computer
  • Programmable hand calculators
slide63

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
  • Mainframe computers
    • 24K memory, punch cards
  • Seven-step desktop computer
  • Programmable hand calculators
  • Desk and notebook computers
slide64

Computing Equipment

  • Slide rule
  • Large graph paper
  • Flexible curve
  • Mechanical calculators
  • Electric calculators
  • Mainframe computers
    • 24K memory, punch cards
  • Seven-step desktop computer
  • Programmable hand calculators
  • Desk and notebook computers
slide65

Research Techniques and Tools

1. Computing equipment

2. Statistical methods

slide66

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
slide67

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
slide68

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
  • Imputation of missing data
  • Bootstrapping (re-sampling)
slide69

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
  • Imputation of missing data
  • Bootstrapping (re-sampling)
  • Structural equation modeling
  • Confirmatory factor analysis
slide70

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
  • Imputation of missing data
  • Bootstrapping (re-sampling)
  • Structural equation modeling
  • Confirmatory factor analysis
  • Complex curve fitting programs
slide72

Modern Curve Fitting

C21m W1A

X= Age (Months)

Y= RefW

Eqn# 6703 y=a+bx^(0.5)+cx+dx^(1.5)+ex^2+fx^(2.5)+gx^3+hx^(3.5)

r2=0.9949427700336424

r2adj=0.9948577745720229

StdErr=1.030369477534328

Fstat=13406.20131865417

a= 168.0310226803962

b= 120.7086341000681

c= -19.73055027984703

d= 1.828054845931321

e= -0.100400733326419

f= 0.003206717255504859

g= -5.479479098921161E-05

h= 3.861139075124612E-07

slide74

Modern Curve Fitting

X= Age (Months) Y= RefW

Eqn# 6870 Chebyshev=>Std Polynomial Order 20

r2=0.9999241264424508

r2adj=0.9999109583043638

StdErr=0.4094307628464526

Fstat=80390.8155662631

  y=256.4311688688844+x*(13.10496360877917+

x*(-0.5427430174673811+x*(0.01376937474584163+

x*(-0.0002168265655293270+x*(2.276713085026848E-06+

x*(-1.682507845015114E-08+x*(9.094579707795152E-11+

x*(-3.696623253703684E-13+x*(1.152407982080169E-15+

x*(-2.793128999308678E-18+x*(5.308052230358075E-21+

x*(-7.939678320586450E-24+x*(9.340340309762284E-27+

x*(-8.591743335417776E-30+x*(6.105292803850054E-33+

x*(-3.282606641401848E-36+x*(1.290343815843724E-39+

x*(-3.496414979019896E-43+x*(5.834823682547657E-47+

x*-4.518103329325873E-51))))))))))))))))))); return(y);

slide75

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
  • Imputation of missing data
  • Bootstrapping (re-sampling)
  • Structural equation modeling
  • Confirmatory factor analysis
  • Complex curve fitting programs
  • Data mining
slide76

Statistical Methods

  • Exploratory factor analysis
  • Analysis of variance
  • Multiple regression analysis
  • Imputation of missing data
  • Bootstrapping (re-sampling)
  • Structural equation modeling
  • Confirmatory factor analysis
  • Complex curve fitting programs
  • Data mining