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Exploratory Factor Analysis of the Kaufman Test of Educational Achievement, 3rd Edition

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Abstract

The Kaufman Test of Educational Achievement, 3rd edition (KTEA-3) is a popular battery for the assessment of students’ academic skills. Its manual includes a series of confirmatory factor analyses to support construct validity. Its five-factor model did not include all available subtests in the battery and required covarying residuals between certain subtests, which could suggest that it measures additional abilities beyond its specified factors. Further, its factors appear highly correlated which suggests the presence of a general factor. This investigation supplements the analyses in the manual with both an oblique rotation and a higher-order exploratory factor analysis using a Schmid-Leiman rotation within multiple grade ranges. Results suggest that the KTEA-3 is factorally complex. The Schmid-Leiman rotation indicates that it is a measure of both a general ability, and perhaps an additional naming facility factor.

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References

  • Abbott, R. B., Berninger, V. W., & Fayol, M. (2010). Longitudinal relationships of levels of language in writing and between writing and reading in grades 1 to 7. Journal of Educational Psychology, 102, 281–298. https://doi.org/10.1037/a0019318.

    Article  Google Scholar 

  • Berliner, D. C. (2009). Are teachers responsible for low achievement by poor students? Kappa Delta Pi Record, 46(1), 18–21.

    Article  Google Scholar 

  • Berninger, V. W. (1999). Coordinating transcription and text generation in working memory during composing: automatic and constructive processes. Learning Disability Quarterly, 22, 99–112.

    Article  Google Scholar 

  • Berninger, V. W., Proctor, A., De Bruyn, I., & Smith, R. (1988). Relationship between levels of oral and written language in beginning readers. Journal of School Psychology, 26, 341–357. https://doi.org/10.1016/0022-4405(88)90042-8.

    Article  Google Scholar 

  • Berninger, V. W., Abbott, R. D., Jones, J., Wolf, B. J., Gould, L., Anderson-Youngstrom, M., Shimada, S., & Apel, K. (2006). Early development of language by hand: composing, reading, listening and speaking connections; three letter-writing modes; and fast mapping in spelling. Developmental Neuropsychology, 29, 61–92.

    Article  PubMed  Google Scholar 

  • Breaux, K. C., & Lichtenberger, E. O. (2016). Essentials of KTEA-3 and WIAT-III assessment. Hoboken: John Wiley & Sons, Inc..

    Google Scholar 

  • Breux, K. C., Bray, M. A., Root, M. M., & Kaufman, A. S. (2017). Introduction to the special issue and to KTEA-3 error analysis. Journal of Psychoeducational Assessment, 35, 4–6. https://doi.org/10.1177/0734282916669656.

    Article  Google Scholar 

  • Canivez, G. L., & McGill, R. J. (2016). Factor structure of the differential ability scales-second edition: exploratory and hierarchical factor analyses with the core subtests. Psychological Assessment, 28, 1475–1488. https://doi.org/10.1037/pas0000279.

    Article  PubMed  Google Scholar 

  • Canivez, G. L., Watkins, M. W., & Dombrowski, S. C. (2016). Factor structure of the Wechsler intelligence scale for children—fifth edition: exploratory factor analyses with the 16 primary and secondary subtests. Psychological Assessment, 28, 975–986. https://doi.org/10.1037/pas0000238.

    Article  PubMed  Google Scholar 

  • Chen, H., & Zhu, J. (2012). Measurement invariance of WISC-IV across normative and clinical samples. Personality and Individual Differences, 52, 161–166. https://doi.org/10.1016/paid.2011.10.006.

    Article  Google Scholar 

  • Devena, S. E., Gay, C. E., & Watkins, M. W. (2013). Confirmatory factor analysis of the WISC-IV in a hospital referral sample. Journal of Psychoeducational Assessment, 31, 591–599. https://doi.org/10.1177/0734282913483981.

    Article  Google Scholar 

  • Dombrowski, S. C. (2015). Exploratory bifactor analysis of the WJ-III achievement at school age via the Schmid-Leiman orthogonalization procedure. Canadian Journal of School Psychology, 30, 34–50. https://doi.org/10.1177/0829573514560529.

    Article  Google Scholar 

  • Dombrowski, S. C., & Watkins, M. W. (2013). Exploratory and higher order factor analysis of the WJ-III full test battery: a school age analysis. Psychological Assessment, 25, 442–455. https://doi.org/10.1037/a0031335.

    Article  PubMed  Google Scholar 

  • Dombrowski, S. C., Canivez, G. L., Watkins, M. W., & Beaujean, A. A. (2015). Exploratory bifactor analysis of the Wechsler intelligence scale for children-fifth edition with the 16 primary and secondary subtests. Intelligence, 53, 94–201. https://doi.org/10.1016/j.intell.2015.10.009.

    Article  Google Scholar 

  • Dombrowski, S. C., McGill, R. J. & Canivez, G. L. (in press). Hierarchical Exploratory Factor Analyses of the Woodcock-Johnson IV Full Test Battery: Implications for CHC Application in School Psychology. School Psychology Quarterly. School Psychology Quarterly. https://doi.org/10.1037/spq0000221

  • Elliott, S. N., & Fuchs, L. S. (1997). The utility of curriculum-based measurement and performance assessment as alternatives to traditional intelligence and achievement tests. School Psychology Review, 26, 224–233 Retrieved from http://www.nasponline.org.

    Google Scholar 

  • Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2007). Learning disabilities: from identification to intervention. New York: Guilford Press.

    Google Scholar 

  • Frame, L. B., Vidrine, S. M., & Hinojosa, R. (2016). Test review: Kaufman, AS & Kaufman, NL (2014). Kaufman test of educational achievement. Journal of Psychoeducational Assessment, 34, 811–818. https://doi.org/10.1177/0734282916632392.

    Article  Google Scholar 

  • Fuchs, L. S., Fuchs, D., Hamlett, C. L., Lambert, W., Stuebing, K., & Fletcher, J. M. (2008). Problem solving and computational skill: are they shard or distinct aspects of mathematical cognition? Journal of Educational Psychology, 100, 30–47. https://doi.org/10.1037/0022-0663.100.1.30.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gough, P. B., & Tumner, W. E. (1986). Decoding, reading and reading disability. Remedial and Special Education, 7, 6–10.

    Article  Google Scholar 

  • Hajovsky, D., Reynolds, M. R., Floyd, R. G., Turek, J. J., & Keith, T. Z. (2014). A multigroup investigation of latent cognitive abilities and reading achievement relations. School Psychology Review, 43, 385–406.

    Article  Google Scholar 

  • Hendrickson, A. E., & White, P. O. (1964). Promax: a quick method for rotation to oblique simple structure. British Journal of Statistical Psychology, 17, 65–70.

    Article  Google Scholar 

  • Hoover, W. A., & Gough, P. B. (1990). The simple view of reading. Reading and Writing: an Interdisciplinary Journal, 2, 127–160.

    Article  Google Scholar 

  • IBM Corporation (2013). Promax rotation (factor analysis algorithms). Available from https://www.ibm.com/support/knowledgecenter/SSLVMB_22.0.0/com.ibm.spss.statistics.algorithms/alg_factor_promax.htm. Accessed January 2018.

  • Individuals with Disabilities Education Act, 20 U.S.C. § 1400 (2004).

  • Jensen, A. R. (1998). The g factor: the science of mental ability. Westport: Praeger.

    Google Scholar 

  • Kaufman, A. S., & Kaufman, N. L. (2004). Kaufman test of educational achievement (second ed.). Circle Pines: American Guidance Service.

    Google Scholar 

  • Kaufman, A. S., & Kaufman, N. L. (2014). Kaufman test of education achievement (third ed.). Bloomington: NCS Pearson.

    Google Scholar 

  • Kaufman, S. B., Reynolds, M. R., Liu, X., Kaufman, A. S., & McGrew, K. S. (2012). Are cognitive g and academic achievement g one and the same g? An exploration on the Woodcock-Johnson and Kaufman tests. Intelligence, 40, 123–138.

    Article  Google Scholar 

  • Kaufman, A.S., & Kaufman, N.L. (with Breaux, K.C.). (2014). Technical & interpretive manual. Kaufman test of educational achievement, third edition. Bloomington: NCS Pearson.

  • Klauda, S. L., & Guthrie, J. T. (2008). Relationships of three components of reading fluency to reading comprehension. Journal of Educational Psychology, 100, 310–321. https://doi.org/10.1037/0022-0663.100.2.310.

    Article  Google Scholar 

  • Loehlin, J. C., & Beaujean, A. A. (2017). Latent variable models: an introduction to factor, path and structural equation analysis (fifth ed.). New York: Routledge.

    Google Scholar 

  • McDonald, R. P. (1999). Test theory: a unified treatment. Mahwah: Lawrence Erlbaum.

    Google Scholar 

  • McGill, R.J. (2017). Academic achievement-g diva or a workhorse? Further insights from bifactor modeling with the WJ-IV. Paper presented at the annual meeting of the American Educational Research Association, San Antonio, TX.

  • McGill, R. J., & Suprgin, A. R. (2017). Exploratory higher order analysis of the Luria interpretive model on the Kaufman assessment battery for children-second edition (KABC-II) school-age battery. Assessment, 24, 540–552. https://doi.org/10.1177/1073191115614081.

    Article  PubMed  Google Scholar 

  • Meroni, E. C., Vera-Toscano, E., & Costa, P. (2015). Can low skill teachers make good students? Empirical evidence from PIAAC and PISA. Journal of Policy Modeling, 37(2), 308–323.

    Article  Google Scholar 

  • Messick, S. (1984). The psychology of educational measurement. Journal of Educational Measurement, 21, 215–237.

    Article  Google Scholar 

  • Nakano, S., & Watkins, M. W. (2013). Factor structure of the Wechsler intelligence scales for children—fourth edition among referred Native American students. Psychology in the Schools, 50, 957–968. https://doi.org/10.1002/pits.21724.

    Article  Google Scholar 

  • National Reading Panel (U.S.), & National Institute of Child Health and Human Development (U.S.). (2000). Report of the National Reading Panel: Teaching children to read : an evidence-based assessment of the scientific research literature on reading and its implications for reading instruction : reports of the subgroups. Washington, D.C.: National Institute of Child Health and Human Development, National Institutes of Health.

  • Nelson, J. M., Canivez, G. L., & Watkins, M. W. (2013). Structural and incremental validity of the Wechsler adult intelligence scale—fourth edition with a clinical sample. Psychological Assessment, 25, 618–630. https://doi.org/10.1037/a0032086.

    Article  PubMed  Google Scholar 

  • Oakhill, J. V., Cain, K., & Bryant, P. E. (2003). The dissociation of word reading and text comprehension: evidence from component skills. Language and Cognitive Processes, 18, 443–468.

    Article  Google Scholar 

  • R Development Core Team. (2015). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.

    Google Scholar 

  • Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667–696. https://doi.org/10.1080/00273171.2012.71555.

    Article  PubMed  PubMed Central  Google Scholar 

  • Revelle, W. (2017). psych: Procedures for psychological, psychometric, and personality research [Computer program]. Evanston, IL: Northwestern University. https://CRAN.R-project.org/package=psych Version = 1.7.8.

  • Richerson, L. P., Watkins, M. W., & Beaujean, A. A. (2014). Longitudinal invariance of the Wechsler intelligence score for children—fourth edition in a referral sample. Journal of Psychoeducational Assessment, 32, 596–609. https://doi.org/10.1177/0734282914538802.

    Article  Google Scholar 

  • Schmid, J., & Leiman, J. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53–61.

    Article  Google Scholar 

  • Schneider, W. J., & McGrew, K. S. (2012). The Cattell-Horn-Carroll model of intelligence. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests, and issues (pp. 99–144). New York: Guilford Press.

    Google Scholar 

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

    Google Scholar 

  • Shrout, P. E., & Lane, S. P. (2012). Reliability. In H. Cooper (Ed.), APA handbook of research methods in psychology: foundations, planning, measures, and psychometrics, vol. 1 (pp. 643–660). Washington, DC: American Psychological Association. https://doi.org/10.1037/13619-034.

    Chapter  Google Scholar 

  • Strickland, T., Watkins, M. W., & Caterino, L. C. (2015). Structure of the Woodcock-Johnson III cognitive tests in a referral sample of elementary school students. Psychological Assessment, 27, 689–697. https://doi.org/10.1037/pas0000052.

    Article  PubMed  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (fifth ed.). Boston: Pearson.

    Google Scholar 

  • Watkins, M. W., Wilson, S. M., Kotz, K. M., Carbone, M. C., & Babula, T. (2006). Factor structure of the Wechsler intelligence scale for children—fourth edition among referred students. Educational and Psychological Measurement, 66, 975–983. https://doi.org/10.1177/0013164406288168.

    Article  Google Scholar 

  • Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013a). WISC-IV and clinical validation of the four- and five-factor interpretative approaches. Journal of Psychoeducational Assessment, 31, 114–131. https://doi.org/10.1177/0374282913478032.

    Article  Google Scholar 

  • Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013b). WAIS-IV and clinical validation of the four- and five-factor interpretative approaches. Journal of Psychoeducational Assessment, 31, 114–131. https://doi.org/10.1177/0734282913478030.

    Article  Google Scholar 

  • Whitaker, D., Berninger, V., Johnston, J., & Swanson, H. L. (1994). Intraindividual differences in levels of language in intermediate grade writers: implications for the translating process. Learning and Individual Differences, 6, 107–130. https://doi.org/10.1016/1041-6080(94)90016-7.

    Article  Google Scholar 

  • Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of achievement. Itasca: Riverside Publishing.

    Google Scholar 

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Authors and Affiliations

  1. Department of Educational Psychology, School Psychology Program, University of Washington, Miller Hall, Box 354941, 2012 Skagit Lane, Seattle, WA, 98195-3600, USA

    Jason R. Parkin

  2. Department of Educational, Counseling, and School Psychology, University of Missouri, Columbia, MO, USA

    Craig L. Frisby

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  1. Jason R. Parkin
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Correspondence to Jason R. Parkin.

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Parkin, J.R., Frisby, C.L. Exploratory Factor Analysis of the Kaufman Test of Educational Achievement, 3rd Edition. Contemp School Psychol 23, 138–151 (2019). https://doi.org/10.1007/s40688-018-0181-2

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