This slideshow provides an overview of the composition of the WJ IV Cognitive clusters. It outlines the design principles used to assign tests to the GIA and CHC clusters, and also presents summary statistics as per the primary design principles used in constructing the COG clusters.

1. WJ IV Tests of Cognitive Ability:
Overview
Dr. Kevin McGrew
Institute for Applied Psychometrics (IAP)
© Institute for Applied Psychometrics; Kevin McGrew 07-01-14

2. Gc Gwm Gs Ga Glr GvGf
Clusters available from
Standard Cognitive easel
(10 tests)
(#) = # tests
Cognitive
Efficiency (2)
Other clusters available by
combining Standard Cognitive
tests with select tests from
Extended Cognitive easel (8 tests)
Cognitive
Efficiency (4)
Aud. Proc.
(2)
LT Ret.
(2)
Visual
Proc. (2)
Cog. Proc.
Speed(2)
Fld. Reas.
(2)
Cmp.
Knw.(2)
ST Work.
Mem. (2)
General Intellectual Ability – g (7)
Brief Intellectual Ability (3)
Gf+Gc
Composite (4)

Scholastic Aptitude Clusters (each a mix of 4 CHC abilities) 
Number
Facility (2)
Perc.
Speed(2)
Qnt.
Reas.
(3)

 New
ST Work.
Mem. (3)
Cmp.
Knw.(3)
Fld. Reas.
(3)
 


3. Gc Gwm Gs Ga Glr GvGf
WJ IV Scholastic Aptitude Cluster Organization
Visualization
(Vz)
Numbers
Reversed
(WM)
Oral
Vocabulary
(LD/VL)
Analysis-
Synthesis
(RG/RQ)
Pair
Cancellation
(P/EF)
Visualization
(Vz)
Oral
Vocabulary
(LD/VL)
Number
Series
(RQ)
Num Pattern
Matching
(P)
Phonological
Processing
(PC)
Oral
Vocabulary
(LV/VL)
Verbal
Attention
(WM)
Num Pattern
Matching
(P)
Phonological
Processing
(PC)
Oral
Vocabulary
(LD/VL)
Verbal
Attention
(WM)
Num Pattern
Matching
(P)
Phonological
Processing
(PC)
Oral
Vocabulary
(LV/VL)
Story
Recall
(MM)
Num Pattern
Matching
(P)
Phonological
Processing
(PC)
Oral
Vocabulary
(LD/VL)
Concept
Formation
(I)
Reading
Broad Reading
Reading Comp
Reading Comp-Ext
Reading Fluency
Reading Rate
Basic Rdg Skills
Writing
Broad Writing
Written Expression
Basic Writing Skills
Math
Broad Math
Math Calc Skills
Math Prob Solving
WJ IV Ach Clusters
Grw/Gq domain general
Grw domain specific
Gq domain specific
© Institute for Applied Psychometrics; Kevin
McGrew 07-01-14

4. WJ IV COG and OL tests by CHC factor domains
Oral
Vocabulary
(VL)
Number
Series
(RQ)
General
Information
(K0)
Object-Num.
Sequencing
(WM)
Pair
Cancellation
(P/WM-AC)
Memory for
Words
(MS)
Analysis-
Synthesis
(RG)
Concept
Formation
(I)
Numbers
Reversed
(WM)
Picture
Recognition
(MV)
Visual-Aud.
Learning
(MA)
Story Recall
(MM)
Number-Pat.
Matching
(P)
COG
OL
New or sign.
change
Verbal
Attention
(WM/AC)
Letter-Pat.
Matching
(P)
Nonword
Repetition
(PC/UM-MS)
Phonological
Processing
(PC/Glr-LA)
Visualization
(Vz)
Picture
Vocabulary
(VL/LD)
Oral Comp.
(LS)
Under.
Directions
(WM/Gc-LS)
Sentence
Repetition
(MS)
Retrieval
Fluency
(FI/LA)
Rapid Picture
Naming
(NA/LA)
Sound
Awareness
(PC)
Sound
Blending
(PC)
Segmentation
(PC)
CHC Factors
Comp
-Knowledge
(Gc)
Fluid
Reasoning (Gf)
Long-Term
Retrieval (Glr)
Visual
Processing (Gv)
Auditory
Processing
(Ga)
Processing
Speed (Gs)
Short-Term
Wrk Mem
(Gwm)
© Institute for Applied Psychometrics; Kevin McGrew 06-18-14

5. • Which 7 tests should be combined for the GIA (g) cluster?
• Which 2 tests from each CHC factor domain should be
combined for the 7 CHC factor clusters?
Oral
Vocabulary
General
Information
Number
Series
Concept
Formation
Verbal
Attention
Numbers
Reversed
Story Recall
Visual-Aud
Learning
Visualization
Picture
Recognition
Letter-Pat.
Match.
Pair
Cancellation
Phon.
Processing
Nonword
Repetition
Obj-Num.
Sequencing
Analysis-
Synthesis
Memory for
Words
Number-Pat
Match.
Two primary WJ IV COG design decisions
Gc Gwm GsGaGlr GvGf
© Institute for Applied Psychometrics; Kevin McGrew 07-01-14

6. GIA -
Standard
GIAOral
Vocabulary
General
Information
Number
Series
Concept
Formation
Verbal
Attention
Numbers
Reversed
Story Recall
Visual-Aud
Learning
Visualization
Picture
Recognition
Letter-Pat.
Match.
Pair
Canc.
Phon.
Processing
Nonword
Repetition
Primary WJ III and WJ IV COG tests and Clusters
Tests in WJ IV
COG clusters
Tests in WJ III
COG Clusters
WJ IV GIA
WJ III GIA-Standard
* Visual Matching is renamed Number-Pattern
Matching in WJ IV
Comparison of composition of primary
WJ III and WJ IV COG CHC and GIA clusters
(WJ III Spatial
Relations is half of
WJ IV Visualization)
(WJ IV Oral Vocab. was
part of WJ III Verbal
Comp.)
Auditory
Attention
Decision
Speed
Analysis-
Synthesis
Retrieval
Fluency
Spatial
Relations
Verbal
Comp.
Memory for
Words
Sound
Blending
Visual
Matching *
© Institute for Applied Psychometrics; Kevin
McGrew 01-23-14
Gc Gwm GsGaGlr GvGf
g

7. © Institute for Applied Psychometrics; Kevin McGrew 01-23-14

8. The WJ IV COG is not your father’s intelligence test!
The WJ IV COG GIA is a much more cognitively complex
(and high g) measure of intelligence
How did we do this?
What evidence do we have to support this conclusion?
© Institute for Applied Psychometrics; Kevin McGrew 01-23-14

9. © Institute for Applied Psychometrics; Kevin McGrew 01-23-14
Some T 3’
s in this
presentation
Titillating
Technical
Teases

10. WJ IV Tests of Cognitive Ability:
Overview and select data analysis results
How do the general intelligence (g)
clusters scores from ………….
Compare to the general intelligence
(g) total scores from …………
© Institute for Applied Psychometrics; Kevin McGrew 01-23-14

11. WISC-IV WAIS-IV WPPSI-III KABC-II SB-5 DAS-II
FS IQ FS IQ FS IQ FCI FS IQ GCA
(n =174) (n =177) (n = 99) (n=50) (n = 50) (n = 49)
WJ IV g-measures
General Intellectual Ability
(GIA)
0.86 0.84 0.72 0.77 0.80 0.83
Brief Intellectual Ability (BIA) 0.83 0.74 0.76 0.79
Gf-Gc Composite 0.83 0.78 0.71 0.82
Note. Correlations in italic represent correlations with a pseudo-WJ IV GIA score computed from 7
WJ IV tests (WJ IV COG does not provide an GIA-Edv cluster)
Select concurrent validity evidence:
Correlations of WJ IV primary COG g-scores
with external measures
Conclusion: The WJ IV GIA, BIA and Gf-Gc composite clusters
demonstrate strong validity evidence as measures of general
intelligence when the criterion are the global composite/total
scores from other major IQ batteries in the field
WJ III GIA other IQ
score correlations
were from .67 to .76

12. Select validity evidence: Correlations of WJ
IV GIA, Gf-Gc composite, and BIA clusters
with Wechsler FS and GAI IQ scores
General Intellectual Ability (GIA)
Brief Intellectual Ability
Gf-Gc composite
WISC-IV WAIS-IV
.86 .81
.83 .80
.83 .83
Correlations are from WJ IV and WISC-IV (n = 174) and WAIS-IV (n = 177)
concurrent validity studies (McGrew, LaForte, & Schrank, 2014). Wechsler
FS/GAI correlations are .95 (WISC-IV) and .94 (WAIS-IV) in these samples.
FS GAI FS GAI
.84 .78
.74 .68
.78 .76
© Institute for Applied Psychometrics; Kevin McGrew 07-31-14

13. Yet to be published preliminary cross-battery g-
loading and cognitive complexity analysis of
primary WJ IV/external IQ battery special studies
T2 T3 T4 T5 T6 T7 T8 T9T1 T12T10 T11
g
(1a) Spearman’s general Factor model
g loadings based on
factor/principal
component analysis
Spatial position
from center of MDS
Guttman radex
analysis “maps”
© Institute for Applied Psychometrics;
Kevin McGrew 01-23-14

14. Loadings on
first unrotated
common factor
Communality
Estimates
Verbal Comprehension Index (VCI) 0.809 0.654
Auditory Processing (Ga) 0.804 0.646
Fluid Reasoning (Gf) 0.804 0.646
Perceptual Reasoning Index (PR) 0.800 0.639
Comprehension-Knowledge (Gc) 0.779 0.607
Short-Term Work. Memory (Gwm) 0.764 0.584
Working Memory Index (WMI) 0.749 0.562
Long-Term Retrieval (Glr) 0.683 0.466
Visual Processing (Gv) 0.604 0.365
Processing Speed Index (PSI) 0.569 0.323
Cog. Processing Speed (Gs) 0.537 0.288
1-factor (unrotated) common-factor solution for WJ
IV COG / WISC-IV composite scores (n=173)

© Institute for Applied Psychometrics; Kevin McGrew 07-01-14

15. Guttman’s Radex Theory
Ability tests can be classified by:
• Degree of cognitive complexity
• Differences in kind of content
• Differences in type of processes
Uses MDS (multidimensional scaling)
© Institute for Applied Psychometrics; Kevin McGrew 02-05-14

16. Example of MDS
(Radex Model)
The closer a test
is to the center
of the figure,
the more it is
related to other
tests. The
center
represents the
most cognitively
complex tests
© Institute for Applied Psychometrics;
Kevin McGrew 02-05-14

17. -2 -1 0 1 2
-2
-1
0
1
2
GIA
GC
GF
GWM
GS
GA
GLR
GV
VCI
PRI WMI
PSI
2 MDS solution for WJ IV / WISC-IV
composite and g-scores (n=173)


•The WJ IV GIA score is as
good (better?) a measure of
general intelligence (g) as
the WISC-IV FS IQ when
defined by g-loadings and
MDS cognitive complexity
analysis.
• The WJ IV Ga cluster is a
measure of complex
cognitive abilities;
comparable to WJ IV &
WISC-IV Gf/PRI composites.
•The WJ IV measures
cognitive abilities not
represented in the WISC-IV
(Ga, Glr, and possibly Gv).
Measures closer to the center of
the radex of more cognitively
complex
FSIQ


18. -2 -1 0 1 2
-2
-1
0
1
2
ORLVOC
NUMSERVRBATN
LETPAT
PHNPRO
VAL
VISUAL
GENINF
CONFRM
NUMREV
NUMPAT
NWDREP
STYREC
PICREC
ANLSYN
OBJNUM
PAIRCN
MEMWRD
PICVOC
ORLCMP
SEGMNT
RPCNAM
SENREP
UNDDIR
SNDBLN
RETFLU
SNDAWR
LWIDNT
APPROB
SPELL
PSGCMP
CALC
WRTSMP
WRDATK
ORLRDG
SNRDFL
MTHFLU
SNWRFL
RDGREC
NUMMAT
EDIT
WRDFLU
SPLSND
RDGVOC
SCI
SOCHUM
MEMNAM
VRBANL
VISCLO
NUMSEN
The calculation of a distance-based “relative cognitive
complexity” (rCC) metric for COG/OL tests
Guttman radex MDS of all WJ IV (and 4 research tests) in WJ IV norm sample (ages 6-90+)
COG
OL
ACH
Res.
© Institute for Applied
Psychometrics; Kevin
McGrew 02-04-14
The MDS “distance
metrics” were saved.
COG test closest to
center (Phonological
Processing) identified.
The distance of all
other tests from
Phonological
Processing was
calculated so that high
(and rescaled) values
indicated more relative
cognitive complexity
(rCC) and lower values
(PICREC) indicated less
rCC.
Thi rCC metric is going to be revised
using a slightly different statistical
treament of the distance metrics in the
near future.

19. 0.4 0.5 0.6 0.7 0.8
g-loading
-0.10
0.45
1.00
1.55
2.10MDSrelativeCC(rCC)
ORLVOC-Gc
SNDAWR-Ga
ORLCMP-Gc
VRBATN-Gwm
PHNPRO-Ga
OBJNUM-Gwm
NUMSER-Gf
CONFRM-Gf
UNDDIR-Gwm
NUMREV-Gwm
PICVOC-Gc
STYREC-Glr
SENREP-Gwm
SEGMNT-Ga
ANLSYN-GF
MEMWRD-Gwm
SNDBLN-Ga
GENINF-Gc
VISUAL-Gf
RETFLU-Glr
LETPAT-Gs
VAL-Glr
NWDREP-GaNUMPAT-Gs
PAIRCN-Gs
RPCNAM-Glr
PICREC-Gv
Relationship between g-loadings and MDS-based relative
cognitive complexity (rCC) for WJ IV COG and OL tests
Correlation = .93; but correspondence
diverges as test become higher in g and
cognitive complexity

20. Comparison
of test g-
loadings
and MDS-
based
relative
cognitive
complexity
(rCC) index
for COG/OL
tests (6-
90+)
Table Notes: Sorted by g-loadings within CHC factors. Shading
designates CHC factor with most relative g/rCC differences
© Institute for Applied Psychometrics;
Kevin McGrew 01-23-14
CHC factor
Test g rCC
Gc
ORLVOC 0.76 1.78
ORLCMP 0.71 1.63
PICVOC 0.67 1.28
GENINF 0.63 1.04
Gf
CONFRM 0.67 1.42
ANLSYN 0.64 1.01
NUMSER 0.63 1.45
Gwm
OBJNUM 0.72 1.31
VRBATN 0.67 1.85
UNDDIR 0.67 1.44
MEMWRD 0.65 0.91
NUMREV 0.64 1.37
SENREP 0.62 1.11
CHC factor
Test g rCC
Gs
LETPAT 0.58 0.75
NUMPAT 0.55 0.65
PAIRCN 0.52 0.46
Ga
PHNPRO 0.75 2.09
SNDAWR 0.71 2.01
SEGMNT 0.64 1.16
SNDBLN 0.59 0.82
NWDREP 0.58 0.64
Glr
STYREC 0.59 1.02
RETFLU 0.58 0.77
VAL 0.56 0.67
RPCNAM 0.51 0.25
Gv
VISUAL 0.63 1.06
PICREC 0.48 0.00

21. Five primary design principles for WJ IV COG GIA
The WJ IV COG GIA cluster tests should:
1. Be the best factor indicators of each CHC broad domain
2. Be the best predictors of achievement from each CHC broad
domain
3. Be the most cognitively complex indicators from each CHC
broad domain
4. Be the best measures of g (general intelligence) from each
CHC broad domain
5. Collectively should have a relatively equal balance of type of
stimulus characteristics (verbal, numeric, figural)
Related

22. The Cognitive tests were evaluated on the basis of four (of
five total) quantifiable COG design criteria
Data augmented by Siskel and Ebert informal rating system
Average CHC factor loadings
Average achievement correlation across domains
Average degree of g-loadings
Average degree of relative cognitive complexity




(Average across ages 6-90+)

23. © Institute for Applied Psychometrics; Kevin McGrew 2-
04-14
Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Gc
ORLVOC 0.56 0.58 0.57 0.57
ORLCMP 0.52 0.46 0.50 0.50
PICVOC 0.51 0.47 0.45 0.47
GENINF 0.54 0.49 0.45 0.49Test g rCC
ORLVOC 0.76 1.78
ORLCMP 0.71 1.63
PICVOC 0.67 1.28
GENINF 0.63 1.04
Gc
ORLVOC 0.87
SOC 0.83
PICVOC 0.82
HUM 0.81
ORLCMP 0.79
GENINF 0.78
SCI 0.77
VRBANL 0.59
RDGVOC 0.52
PSGCMP 0.31
PHNPRO 0.27
SENREP 0.26
Gc factor loadings
Gc g-loadings and relative cog. complexity



Gc COG test eval. summary

24. Comprehension – KnowledgeComprehension – Knowledge
((Gc)Gc)
Language Dev.Language Dev.
(LD)(LD)
General InformationGeneral Information
(K0)(K0)
Lexical KnowledgeLexical Knowledge
(VL)(VL)
ORLVOC* GENINFPICVOC
 
* Test in GIA
Author/expert
CHC narrow factor
classifications
(Gc cluster)
(Voc. Cluster-
LD/VL)

25. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Gf
NUMSER 0.63 0.74 0.63 0.63
CONFRM 0.43 0.52 0.36 0.43
ANLSYN 0.32 0.48 0.36 0.36
Test g rCC
CONFRM 0.67 1.42
ANLSYN 0.64 1.01
NUMSER 0.63 1.45
Gf factor loadings
Gf g-loadings and relative cog. complexity
Gf COG test eval. summary
Gf
NUMSER 0.79
NUMMAT 0.75
CONFRM 0.69
ANLSYN 0.63
VRBANL 0.30







26. InductionInduction
(I)(I)
General SequentialGeneral Sequential
Reasoning (RG)Reasoning (RG)
QuantitativeQuantitative
Reasoning (RQ)Reasoning (RQ)
ANLSYNCONFRMNUMSER* (Gf cluster)
(Gf-Ext
cluster)
(Quantitative Reasoning Cluster-RQ)
* Test in GIA
Fluid Reasoning
(Gf)
Author/expert
CHC narrow
factor
classifications
    

27. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Gwm
SENREP 0.46 0.41 0.46 0.46
NUMREV 0.43 0.47 0.45 0.45
UNDDIR 0.44 0.45 0.41 0.44
VRBATN 0.43 0.44 0.51 0.44
OBJNUM 0.38 0.45 0.37 0.38
MEMWRD 0.32 0.31 0.35 0.32Test g rCC
OBJNUM 0.72 1.31
VRBATN 0.67 1.85
UNDDIR 0.67 1.44
MEMWRD 0.65 0.91
NUMREV 0.64 1.37
SENREP 0.62 1.11
Gwm factor loadings
Gwm g-loadings and relative cog. complexity
Gwm COG test eval. summary
Gwm
VRBATN 0.77
OBJNUM 0.75
MEMWRD 0.66
UNDDIR 0.65
NWDREP 0.59
SENREP 0.49
NUMREV 0.48
 (NUMREV had secondary
content [numeric] loading
on Gq)
 
 

28. Short-Term WorkingShort-Term Working
Memory (Memory (Gwm)Gwm)
Work. MemoryWork. Memory
Capacity (WM)Capacity (WM)
Memory SpanMemory Span
(MS)(MS)
Attentional ControlAttentional Control
(AC)(AC)
MEMWRD
SENREP
(Auditory Memory
Span Cluster-MS)
OBJNUMVRBATN* NUMREV
* Test in GIA
(Gwm cluster)
(Gwm-Ext cluster)
Author/expert
CHC narrow
factor
classifications
  
© Institute for Applied Psychometrics; Kevin McGrew 2-
04-14

29. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Gs
NUMPAT 0.52 0.53 0.57 0.53
LETPAT 0.51 0.50 0.49 0.50
PAIRCN 0.37 0.46 0.36 0.37
Test g rCC
LETPAT 0.58 0.75
NUMPAT 0.55 0.65
PAIRCN 0.52 0.46
Gs factor loadings
Gs g-loadings and relative cog. complexity
Gs COG test eval. summary
Gs
NUMPAT 0.79
LETPAT 0.74
WRDFLU 0.70
PAIRCN 0.58
MTHFLU 0.52
SNRDFL 0.50
SNWRFL 0.49
RPCNAM 0.31
RETFLU 0.23
CALC 0.18
  
 
(PAIRCN had secondary
low loading on Gv)

30. Cognitive Processing SpeedCognitive Processing Speed
((Gs)Gs)
AttentionalAttentional
Control (AC)Control (AC)
PerceptualPerceptual
Speed (P)Speed (P)
PAIRCNNUMPATLETPAT*
* Test in GIA
Short-Term WorkingShort-Term Working
Memory (Memory (GwmGwm))
(Gs cluster)
(Perceptual Speed
cluster-P)
Author/expert
CHC narrow
factor
classifications
   

31. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Glr
STYREC 0.35 0.39 0.42 0.39
RETFLU 0.38 0.38 0.35 0.38
VAL 0.31 0.31 0.30 0.31
RPCNAM 0.34 0.27 0.26 0.27
Test g rCC
STYREC 0.59 1.02
RETFLU 0.58 0.77
VAL 0.56 0.67
RPCNAM 0.51 0.25
Glr factor loadings
Glr g-loadings and relative cog. complexity
Glr COG test eval. summary
Glr
STYREC 0.57
VAL 0.51
MEMNAM 0.41
RETFLU 0.41
RPCNAM 0.26
WRTSMP 0.22
RDGREC 0.21
(NUMREV had secondary
content (numeric) loading
on Gq)
 

 


32. LearningLearning
EfficiencyEfficiency
RetrievalRetrieval
FluencyFluency
Long-Term RetrievalLong-Term Retrieval
((GlrGlr))
* Test in GIA
VALSTREC* (Glr cluster)
AssociativeAssociative
Memory (MA)Memory (MA)
MeaningfulMeaningful
Memory (MM)Memory (MM)
Speed of LexicalSpeed of Lexical
Access (LA)Access (LA)
RETFLURPCNAM (Speed
of Lexical
Access
cluster-LA)
Author/expert
CHC narrow
factor
classifications
  

33. Learning
Efficiency
Retrieval
Fluency
Meaningful Memory
Associative Memory
Free Recall
Naming Facility
Ideational Fluency
Associational Fluency
Expressional Fluency
Originality
Word Fluency
Figural Fluency
Figural Flexibility
Solution Fluency
Glr
Multiple-Trial and/or
Delayed Recall
Glr differs from acquired
knowledge systems (Gc, Grw,
Gq, Gkn) in that it includes the
processes of memory
Major implied Glr division
made more explicit based on
post-Carroll (1993) research.
Learning efficiency (level trait)
vs retrieval fluency (rate trait)
Glr: The ability to store,
consolidate, and retrieve
information over periods of
time measured in minutes,
hours, days and years.
Speed of Lexical Access
(Adapted from Schneider & McGrew, 2012)

34. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Ga
SNDAWR 0.57 0.49 0.55 0.55
PHNPRO 0.54 0.51 0.54 0.54
SEGMNT 0.42 0.38 0.43 0.42
NWDREP 0.35 0.26 0.41 0.35
SNDBLN 0.34 0.35 0.34 0.34
Test g rCC
PHNPRO 0.75 2.09
SNDAWR 0.71 2.01
SEGMNT 0.64 1.16
SNDBLN 0.59 0.82
NWDREP 0.58 0.64
Ga factor loadings
Ga g-loadings and relative cog. complexity
Ga COG test eval. summary
Ga
SEGMNT 0.74
SNDBLN 0.65
PHNPRO 0.62
SNDAWR 0.58
SPLSND 0.51
WRDATK 0.24
NWDREP 0.18


 (NWDREP had high
loading
on Gwm)

35. AuditoryAuditory
Processing (Processing (Ga)Ga)
PhoneticPhonetic
Coding (PC)Coding (PC)
NWDREPPHNPRO*
* Test in GIA
Short-Term WorkingShort-Term Working
Memory (Memory (GwmGwm))
Memory forMemory for
Sound Patterns (UM)Sound Patterns (UM)
SEGMNT SNDBLN
(Ga
cluster)
(Phonetic Coding cluster-PC)
Author/expert
CHC narrow
factor
classifications
 
© Institute for Applied Psychometrics; Kevin McGrew 06-20-14
Memory SpanMemory Span
(MS)(MS)

36. Rdg
Mdn
(36 r's)
Math
Mdn.
(20 r's)
WLang
Mdn
(24 r's)
Grand
Mdn
Ach Corr.
Gv
VISUAL 0.34 0.49 0.38 0.38
PICREC 0.27 0.24 0.28 0.27
Test g rCC
VISUAL 0.63 1.06
PICREC 0.48 0.00
Gv factor loadings
Gv g-loadings and relative cog. complexity
Gv COG test eval. summary
Gv
VISUAL 0.74
VISCLO 0.60
PICREC 0.49
PAIRCN 0.22
(PAIRCN had significant
loading on Gs)


 

37. Visual ProcessingVisual Processing
((GvGv))
Visual MemoryVisual Memory
(MV)(MV)
VisualizationVisualization
(Vz)(Vz)
* Test in GIA
PICRECVISUAL* (Gv cluster)
Author/expert
CHC narrow
factor
classifications
 