American Educational Research Association, American Psychological Association, & National Council on Measurement on Education. (2014). Standards for educational and psychological testing. American Educational Research Association.

Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3(2), 77–85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x

Article  Google Scholar 

Beaujean, A. A., & Parkin, J. R. (2022). Evaluation of the Wechsler individual achievement test-fourth edition as a measurement instrument. Journal of Intelligence, 10(2). https://doi.org/10.3390/jintelligence10020030

Behrens, J. T. (1997). Principles and procedures of exploratory data analysis. Psychological Methods, 2(2), 131–160. https://doi.org/10.1037/1082-989X.2.2.131

Article  Google Scholar 

Borsboom, D. (2022). Possible futures for network psychometrics. Psychometrika, 87(1), 253–265. https://doi.org/10.1007/s11336-022-09851-z

Article  PubMed  PubMed Central  Google Scholar 

Breit, M., Brunner, M., Molenaar, D., & Preckel, F. (2022). Differentiation hypotheses of intelligence: A systematic review of the empirical evidence and an agenda for future research. Psychological Bulletin, 148(7–8), 518–554. https://doi.org/10.1037/bul0000379

Article  Google Scholar 

Brooks, B. L., Sherman, E. M. S., & Iverson, G. L. (2010). Healthy children get low scores too: Prevalence of low scores on the NEPSY-II in preschoolers, children, and adolescents. Archives of Clinical Neuropsychology, 25(3), 182–190. https://doi.org/10.1093/arclin/acq005

Article  PubMed  Google Scholar 

Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge University Press. https://doi.org/10.1017/CBO9780511571312

Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10

Article  PubMed  Google Scholar 

Cattell, R. B. (1988). The meaning and strategic use of factor analysis. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (pp. 131–203). Plenum Press. https://doi.org/10.1007/978-1-4613-0893-5_4

Child, D. (2006). Essentials of factor analysis (3rd ed.). Continuum.

Dombrowski, S. C., Beaujean, A. A., McGill, R. J., Benson, N. F., & Schneider, W. J. (2019). Using exploratory bifactor analysis to understand the latent structure of multidimensional psychological measures: An example featuring the WISC-V. Structural Equation Modeling, 26(6), 847–869. https://doi.org/10.1080/10705511.2019.1622421

Article  Google Scholar 

Dombrowski, S. C., McGill, R. J., Canivez, G. L., Watkins, M. W., & Beaujean, A. A. (2021). Factor analysis and variance partitioning in intelligence research: Clarifying misconceptions. Journal of Psychoeducational Assessment, 39(1), 28–38. https://doi.org/10.1177/0734282920961952

Article  Google Scholar 

Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. Oxford University Press.

Google Scholar 

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272

Article  Google Scholar 

Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2013). Essentials of cross-battery assessment (3rd ed.). John Wiley.

Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12(6), Article e0174035. https://doi.org/10.1371/journal.pone.0174035

Article  PubMed  Google Scholar 

Golino, H., Christensen, A. P., Moulder, R., Garrido, L. E., Jamison, L., Shi, D. (2023). EGAnet: Exploratory graph analysis-A framework for estimating the number of dimensions in multivariate data using network psychometrics [Version 2.0.1]. R Foundation for Statistical Computing.

Goodwin, L. D. (1999). The role of factor analysis in the estimation of construct validity. Measurement in Physical Education and Exercise Science, 3(2), 85–100. https://doi.org/10.1207/s15327841mpee0302_2

Article  Google Scholar 

Gorsuch, R. L. (2003). Factor analysis. In J. A. Schinka & W. F. Velicer (Eds.), Handbook of psychology: Research methods in psychology (Vol. 2, pp. 143–164). John Wiley.

Haynes, S. N., Smith, G. T., & Hunsley, J. D. (2019). Scientific foundations of clinical assessment (2nd ed.). Routledge.

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. https://doi.org/10.1007/BF02289447

Article  PubMed  Google Scholar 

Jantz, P. B., & Plotts, C. A. (2014). Integrating neuropsychology and school psychology: Potential and pitfalls. Contemporary School Psychology, 18(1), 69–80. https://doi.org/10.1007/s40688-013-0006-2

Article  Google Scholar 

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575

Article  Google Scholar 

Karmiloff-Smith, A. (1998). Development itself is the key to understanding developmental disorders. Trends in Cognitive Sciences, 2(10), 389–398. https://doi.org/10.1016/S1364-6613(98)01230-3

Article  PubMed  Google Scholar 

Kaufman, A. S. (1994). Intelligent testing with the WISC-III. John Wiley.

Google Scholar 

Keith, T. Z., Caemmerer, J. M., & Reynolds, M. R. (2016). Comparison of methods for factor extraction for cognitive test-like data: Which overfactor, which underfactor? Intelligence, 54, 37–54. https://doi.org/10.1016/j.intell.2015.11.003

Article  Google Scholar 

Kemp, S. L., & Korkman, M. (2010). Essentials of NEPSY-II assessment. Wiley.

Google Scholar 

Kervinen, S. (2015). Exploration of the internal structure of the NEPSY-II [Master’s thesis, University of Helsinki].

Korkman, M. (1988). NEPSY: An adaptation of Luria’s investigation for young children. Clinical Neuropsychologist, 2(4), 375–392. https://doi.org/10.1080/13854048808403275

Article  Google Scholar 

Korkman, M., Kirk, U., & Kemp. S. (1998). NEPSY: A developmental neuropsychological assessment. Psychological Corporation.

Korkman, M., Kirk, U., & Kemp. S. (2007a). NEPSY-Second Edition. NCS Pearson.

Korkman, M., Kirk, U., & Kemp. S. (2007b). NEPSY-Second Edition administration manual. NCS Pearson.

Korkman, M., Kirk, U., & Kemp. S. (2007c). NEPSY-Second Edition clinical and interpretive manual. NCS Pearson.

Larson, G. E., Merritt, C. R., & Williams, S. E. (1988). Information processing and intelligence: Some implications of task complexity. Intelligence, 12(2), 131–147. https://doi.org/10.1016/0160-2896(88)90012-8

Article  Google Scholar 

Lorenzo-Seva, U., & Ferrando, P. J. (2021). Not positive definite correlation matrices in exploratory item factor analysis: Causes, consequences and a proposed solution. Structural Equation Modeling, 28(1), 138–147. https://doi.org/10.1080/10705511.2020.1735393

Article  Google Scholar 

Luria, A. R. (1973). The working brain: An introduction to neuropsychology. Penguin Books.

Luria, A. R. (1980). Higher cortical functions in man (2nd ed.). Basic Books.

Manapat, P. D., Anderson, S. F., & Edwards, M. C. (2023). Evaluating avoidable heterogeneity in exploratory factor analysis results. Advance online publication. https://doi.org/10.1037/met0000589

Book  Google Scholar 

Matthews, R. N., & Davis, J. L. (2018). The NEPSY-II. In D. P. Flanagan & E. M. McDonough (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (4th ed., pp. 553–566). Guilford Press.

Matthews, R. N., Riccio, C. A., & Davis, J. L. (2012). The NEPSY-II. In D. P. Flanagan & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 422–435). Guilford Press.

McGill, R. J., & Dombrowski, S. C. (2018). Factor structure of the CHC model for the KABC-II: Exploratory factor analyses with the 16 core and supplemental subtests. Contemporary School Psychology, 22(3), 279–293. https://doi.org/10.1007/s40688-017-0152-z

Article  Google Scholar 

McGill, R. J., Ward, T. J., & Canivez, G. L. (2021). On the validation of ability measures in school psychology: Do established psychometric standards matter? School Psychology International, 42(2), 210–216. https://doi.org/10.1177/0143034320985209

Article  Google Scholar 

Mosconi, M., Nelson, L., & Hooper, S. R. (2008). Confirmatory factor analysis of the NEPSY for younger and older school-age children. Psychological Reports, 102(3), 861–866. https://doi.org/10.2466/pr0.102.3.861-866

Article  PubMed  Google Scholar 

R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved from https://www.Rproject.org

Revelle, W. (2023). psych: Procedures for psychological, psychometric, and personality research. [Version 2.3.9]. R Foundation for Statistical Computing.

Russell, E. W., Russell, S. L. K., & Hill, B. D. (2005). The fundamental psychometric status of neuropsychological batteries. Archives of Clinical Neuropsychology, 20(6), 785–794. https://doi.org/10.1016/j.acn.2005.05.001

Article  PubMed  Google Scholar 

Sass, D. A., & Schmitt, T. A. (2010). A comparative investigation of rotation criteria within exploratory factor analysis. Multivariate Behavioral Research, 45(1), 73–103. https://doi.org/10.1080/00273170903504810

Article  PubMed  Google Scholar 

Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464. https://doi.org/10.1214/aos/1176344136

Article  Google Scholar 

Stinnett, T. A., Oehler-Stinnett, J., Fuqua, D. R., & Palmer, L. S. (2002). Examination of the underlying structure of the NEPSY: A developmental neuropsychological assessment. Journal of Psychoeducational Assessment, 20(1), 66–82. https://doi.org/10.1177/073428290202000105

Article  Google Scholar 

Styck, K. M., Beaujean, A. A., & Watkins, M. W. (2019). Profile reliability of cognitive ability subscores in a referred sample. Archives of Scientific Psychology, 7(1), 119–128. https://doi.org/10.1037/arc0000064

Article  Google Scholar 

Tavakol, M., & Wetzel, A. (2020). Factor analysis: A means for theory and instrument development in support of construct validity. International Journal of Medical Education, 11, 245–247. https://doi.org/10.5116/ijme.5f96.0f4a

Article  PubMed  PubMed Central  Google Scholar 

Tideman, E., & Gustafsson, J.-E. (2004). Age-related differentiation of cognitive abilities in ages 3–7. Personality and Individual Differences, 36(8), 1965–1974. https://doi.org/10.1016/j.paid.2003.09.004

Article  Google Scholar 

Tucker-Drob, E. M. (2009). Differentiation of cognitive abilities across the life span. Developmental Psychology, 45(4), 1097–1118. https://doi.org/10.1037/a0015864