This discussion article addresses issues related to expansion of the Wechsler model from four to five factors; multiple broad CHC abilities measured by the Arithmetic subtest; advantages and disadvantages of including complex tasks requiring integration of multiple broad abilities when measuring intelligence; limitations of factor analysis, which constrain test developers to creating specific broad and narrow abilities as opposed to integrative tasks; implications from brain imaging research showing the critical role of neurological pathways that integrate brain regions; close relationship of the fluid reasoning factor to g, and the inadequacies of factor analytically driven statistical definitions of g in the development of improved models of intelligence. In this rejoinder to the commentaries in this special issue on structural models of the WAIS-IV and WISC-IV, the advantages and disadvantages of Schmid–Leiman’s transformation, which removes the effects of g on the broad abilities, and the use of nested or bifactor models in evaluating models of intelligence are also discussed.
BowdenS. C. (2013). Theoretical convergence in assessment of cognition. Journal of Psychoeducational Assessment, 31, 148-156.
2.
BrooksB. L.HoldnackJ. A.IversonG. L. (2011). Advanced clinical interpretation of the WAIS-IV and WMS-IV: Prevalence of low scores varies by intelligence and years of education. Assessment, 18, 156-167.
3.
BrownT. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford.
4.
CanivezG. L.KushJ. C. (2013). WISC-IV and WAIS-IV structural validity: Alternate methods, alternate results. Commentary on Weiss et al. (2013a) and Weiss et al. (2013b). Journal of Psychoeducational Assessment, 31, 157-169.
5.
CanivezG. L.WatkinsM. W. (2010a). Investigation of the factor structure of the Wechsler Adult Intelligence Scale—Fourth Edition (WAIS-IV): Exploratory and higher-order factor analyses. Psychological Assessment, 22, 827-836.
6.
CanivezG. L.WatkinsM. W. (2010b). Investigation of the factor structure of the Wechsler Adult Intelligence Scale—Fourth Edition (WISC-IV): Adolescent subsample. School Psychology Quarterly, 25, 223-235.
7.
CattellR. B. (1987). Intelligence: Its structure, growth, and action. New York, NY: North-Holland.
8.
ClaeysJ. (2013). Theory and research: The nexus of clinical inference. Journal of Psychoeducational Assessment, 31, 170-174.
9.
ColeM. W.SchneiderW. (2007). The cognitive control network: Integrating cortical regions with dissociable functions. Neuroimage, 37, 343-360.
10.
FlanaganD. P.AlfonsoV. C.ReynoldsM. R. (2013). Broad and narrow CHC abilities measured and not measured by the Wechsler scales: Moving beyond within-battery factor analysis. Journal of Psychoeducational Assessment, 31, 202-223.
11.
FlanaganD. P.KaufmanA. S. (2009). Essentials of WISC-IV assessment (2nd ed.). New York, NY: Wiley.
12.
GoldsteinS. (2013). The science of intelligence testing: Commentary on the evolving nature of interpretations of the Wechsler scales. Journal of Psychoeducational Assessment, 31, 132-137.
13.
GrégoireJ. (2013). Measuring components of intelligence: Mission impossible?Journal of Psychoeducational Assessment, 31, 138-147.
14.
GustafssonJ.-E.BalkeG. (1993). General and specific abilities as predictors of school achievement. Multivariate Behavioral Research, 28, 407-434.
15.
HaleJ. B.FiorelloC. A.KavanaghJ. A.HoldnackJ. A.AloeA. M. (2007). Is the demise of IQ interpretation justified? A response to special issue authors. Applied Neuropsychology, 14(1), 37-51.
16.
HaierR. (2012, December). Brain imaging and intelligence: Better psychometrics and advanced image analyses. President’s Symposium, presented at the annual meeting of the International Society for Intelligence Research, San Antonio, TX.
HornJ. L.BlanksonN. (2005). Foundations for better understanding of cognitive abilities. In FlanaganD. P.HarrisonP. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 41-68). New York, NY: Guilford.
19.
JungR. E.HaierR. J. (2007). The Parieto-Fronto Integration Theory (p_FIT) of intelligence: Converging neuroimaging evidence. Behavioral & Brain Sciences, 30, 135-154.
20.
KaplanE. (1988). A process approach to neuropsychological assessment. In BollT.BryantB. K. (Eds.), Clinical neuropsychology and brain function: Research, measurement, and practice (pp. 129-231). Washington, DC: American Psychological Association.
21.
KaufmanA. S. (2013). Intelligent testing with Wechsler’s fourth editions: Perspectives on the Weiss et al. studies and the eight commentaries. Journal of Psychoeducational Assessment, 31, 224-234.
22.
KeithT. Z. (2006). Multiple regression and beyond. Boston, MA: Allyn and Bacon.
23.
KeithT. Z. (1994). Intelligence is important, intelligence is complex. School Psychology Quarterly, 9, 209-221.
24.
KeithT. Z.LowJ. A.ReynoldsM. R.PatelP. G.RidleyK. P. (2010). Higher-order factor structure of the Differential Ability Scales–II: Consistency across ages 4 to 17. Psychology in the Schools, 47, 676-697. doi:10.1002/pits.20498
25.
KeithT. Z.ReynoldsM. R. (2012). Using confirmatory factor analysis to aid in understanding the constructs measured by intelligence tests. In FlanaganD. P.HarrisonP. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 758-799). New York: Guilford.
26.
KvistA. V.GustafssonJ.-E. (2008). The relation between fluid intelligence and the general factor as a function of cultural background: A test of Cattell’s investment theory. Intelligence, 36, 422-436.
27.
LezakM. D. (1988). IQ: RIP. Journal of Clinical and Experimental Neuropsychology, 10, 351-361.
28.
LichtenbergerE. O.KaufmanA. S. (2012). Essentials of WAIS-IV assessment (2nd ed.). New York, NY: Wiley.
29.
LuriaA. R. (1979). The making of mind: A personal account of Soviet psychology. Cambridge, MA: Harvard University Press.
30.
NiilekselaC. R.ReynoldsM. R.KaufmanA. S. (2012). An alternative Cattell-Horn-Carroll (CHC) factor structure of the WAIS-IV: Age invariance of an alternative model for ages 70-90. Psychological Assessment. Advance online publication. doi:10.1037/a0031175
31.
PrifiteraA.SaklofskeD. H.WeissL. G. (2005). WISC-IV clinical use and interpretation. San Diego, CA: Academic Press.
32.
PrifiteraA.SaklofskeD. H.WeissL. G. (2008). WISC-IV Clinical Assessment and Intervention. San Diego, CA: Academic Press.
33.
ReynoldsM. R.KeithT. Z. (2013). Measurement and statistical issues in child assessment research. In ReynoldsC. R. (Ed.), Oxford handbook of child and adolescent assessment. New York, NY: Oxford University Press.
34.
SchneiderW. J. (2013). What if we took our models seriously? Estimating latent scores in individuals. Journal of Psychoeducational Assessment, 31, 186-201.
35.
SchwartzD. M. (2013). A four- and five-factor structural model for Wechsler tests: Does it really matter clinically?Journal of Psychoeducational Assessment, 31, 175-185.
36.
WechslerD. (2003). Wechsler Intelligence Scales for Children—Fourth Edition (WISC-IV) administration and scoring manual. San Antonio, TX: Pearson.
37.
WechslerD. (2008). Wechsler Adult Intelligence Scales—Fourth Edition (WAIS-IV) administration and scoring manual. San Antonio, TX: Pearson.
38.
WeissL. G.KeithT. Z.ZhuJ.ChenH. (2013a). WAIS-IV Clinical validation of the four- and five-factor interpretive approaches. Journal of Psychoeducational Assessment, 31, 94-113.
39.
WeissL. G.KeithT. Z.ZhuJ.ChenH. (2013b). WISC-IV Clinical validation of the four- and five-factor interpretive approaches. Journal of Psychoeducational Assessment, 31, 114-131.
40.
WeissL. G.SaklofskeD. H.PrifiteraA.HoldnackJ. H. (2006). WISC-IV: Advanced Clinical Interpretation. San Diego, CA: Academic Press.
41.
WeissL. G.SaklofskeD. H.CoalsonD.RaifordS. E. (2010). WAIS-IV: Clinical Use and Interpretation. San Diego, CA: Academic Press.
