Alexander, R.A., Carson, K.P., Alliger, G.M., & Carr, L. (1987). Correcting doubly truncated correlations: An improved approximation for correcting the bivariate normal correlation when truncation has occurred on both variables. Educational and Psychological Measurement, 47(2), 309–315. https://doi.org/10.1177/0013164487472002

Article  Google Scholar 

Alfonso, V.C., & Flanagan, D.P. (2018) Essentials of specific learning disability identification. New York: Wiley.

Google Scholar 

Bhattacharya, S. (2018). Situating Professor Mahalanobis as a public intellectual in the social history of his times. Sankhya B, 80(S1), 237–250. https://doi.org/10.1007/s13571-019-00203-z

Article  Google Scholar 

Brereton, R.G. (2015). The Mahalanobis distance and its relationship to principal component scores: The Mahalanobis distance and PCA. Journal of Chemometrics, 29(3), 143–145. https://doi.org/10.1002/cem.2692

Article  Google Scholar 

Canivez, G.L., & Watkins, M.W. (1998). Long-term stability of the Wechsler Intelligence Scale for Children–Third Edition. Psychological Assessment, 10(3), 285–291. https://doi.org/10.1037/1040-3590.10.3.285

Article  Google Scholar 

Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003) Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: L. Erlbaum Associates.

Google Scholar 

Crawford, J.R., & Allan, K.M. (1994). The Mahalanobis Distance index of WAIS-R subtest scatter: Psychometric properties in a healthy UK sample. British Journal of Clinical Psychology, 33(1), 65–69. https://doi.org/10.1111/j.2044-8260.1994.tb01094.x

Article  PubMed  Google Scholar 

Crocker, L., & Algina, J. (2006) Introduction to classical and modern test theory. Mason, OH: Cengage Learning.

Google Scholar 

Cronbach, L.J., & Gleser, G.C. (1953). Assessing similarity between profiles. Psychological Bulletin, 50(6), 456–473. https://doi.org/10.1037/h0057173

Article  PubMed  Google Scholar 

Eaton, M.L. (2007) Multivariate statistics: A vector space approach (No. 53). Beachwood Ohio: Inst. of Mathematical Statistics.

Google Scholar 

Flanagan, D.P., Ortiz, S.O., & Alfonso, V.C. (2013) Essentials of cross-battery assessment. Hoboken, NJ: Wiley.

Google Scholar 

Furr, R. (2017) Psychometrics: An introduction, (3rd edn.) Los Angeles: SAGE.

Google Scholar 

Genz, A, Bretz, F, Miwa, T, Mi, X, Leisch, F, Scheipl, F, & Hothorn, T (2017). Mvtnorm: multivariate normal and t Distributions.

Huba, G.J. (1985). How unusual is a profile of test scores? Journal of Psychoeducational Assessment, 3(4), 321–325. https://doi.org/10.1177/073428298500300403

Article  Google Scholar 

Ji, F. (2018). Applying conditional distributions to individuals: Using latent variable models (Unpublished master’s thesis). Illinois State University.

Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proceedings of the National Institute of Sciences of India, 2, 49–55.

Google Scholar 

McDermott, P.A., Fantuzzo, J.W., & Glutting, J.J. (1990). Just say no to subtest analysis: A critique on Wechsler theory and practice. Journal of Psychoeducational Assessment, 8(3), 290–302.

Article  Google Scholar 

McDermott, P.A., Fantuzzo, J.W., Glutting, J.J., Watkins, M.W., & Baggaley, A.R. (1992). Illusions of meaning in the Ipsative assessment of children’s ability. The Journal of Special Education, 25(4), 504–526. https://doi.org/10.1177/002246699202500407

Article  Google Scholar 

McGill, R.J., Dombrowski, S.C., & Canivez, G.L. (2018). Cognitive profile analysis in school psychology: History, issues, and continued concerns. Journal of School Psychology, 71, 108–121. https://doi.org/10.1016/j.jsp.2018.10.007

Article  PubMed  Google Scholar 

Nunnally, J.C. (1967) Psychometric theory. New York: McGraw-Hill.

Google Scholar 

R Core Team (2021). R: A language and environment for statistical computing R Foundation for Statistical Computing. Vienna, Austria.

Raykov, T., & Marcoulides, G.A. (2011) Introduction to psychometric theory. New York: Routledge. https://doi.org/10.4324/9780203841624.

Book  Google Scholar 

Schneider, W.J., & Ji, F. (2021). Unusualprofile. AssessingPsyche.

Schrank, F.A., McGrew, K.S., & Mather, N. (2014) Woodcock-Johnson IV. IL: Riverside: Rolling Meadows.

Google Scholar 

Strang, G. (2016) Introduction to linear algebra, (5th edn.) Wellesley: Cambridge Press.

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 

Torgesen, J.K., Wagner, R.K., Rashotte, C.A., Burgess, S., & Hecht, S. (1997). Contributions of phonological awareness and rapid automatic naming ability to the growth of word-reading skills in second-to fifth-grade children. Scientific Studies of Reading, 1(2), 161–185. https://doi.org/10.1207/s1532799xssr0102_4

Article  Google Scholar 

Watkins, M.W. (2000). Cognitive profile analysis: A shared professional myth. School Psychology Quarterly, 15(4), 465–479. https://doi.org/10.1037/h0088802

Article  Google Scholar 

Watkins, M.W., & Smith, L.G. (2013). Long-term stability of the Wechsler Intelligence Scale for Children–Fourth Edition. Psychological Assessment, 25(2), 477–483. https://doi.org/10.1037/a0031653

Article  PubMed  Google Scholar