Using Confirmatory Factor Analysis to Aid in Understanding the Constructs Measured by Intelligence Tests.
By T. Keith, Matthew R. Reynolds. 2005
213 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8a5f012a9b62d4fa5e5a7ce2f04244325fd0a5bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- T. Keith
- Matthew R. Reynolds
- K. McGrew
- Scott Barry Kaufman
- L. G. Weiss
- Hsinyi Chen
- D. Wechsler
- V. Alfonso
Citations in the corpus
- Confirmatory Factor Analytic Procedures for the Determination of Measurement Invariance (2006, methodology): “The analysis was constrained to testing metric invariance (equality of factor loadings), which is the most critical concern regarding construct validity (Keith, 1997), because factor loadings indicate the relation between the variable and factor.”
- Higher Order, Multisample, Confirmatory Factor Analysis of the Wechsler Intelligence Scale for Children--Fourth Edition: What Does It Measure?. (2006, methodology): “Keith (2005) argued that if theories of intelligence posit hierarchical levels, then so too should intelligence test models.”
- The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better (2016, background): “It is simply used to calculate indirect effects, as described further below. group-level factors is caused by g: A key feature of the model for those who endorse it (Keith, 2005; Weiss, Keith, Zhu, & Chen, 2013).”
- Are cognitive g and academic achievement g one and the same g? An exploration on the Woodcock–Johnson and Kaufman tests (2012, methodology): “…indicators within each factor available across ages, allowed for us to proceed with invariance tests in the multi-group models despite some differences in factor indicators across age (see Keith, Low, Reynolds, Patel, & Ridley, 2010; Keith & Reynolds, 2012; McArdle, 1994; Reynolds et al., 2007).”
- The Impact of the Cattell-Horn-Carroll Theory on Test Development and Interpretation of Cognitive and Academic Abilities. (2005, methodology): “The information presented in this table was derived from a series of joint factor analyses conducted by Woodcock (1990) and others (Carroll, 1993; Flanagan & McGrew, 1997; Horn, 1991; Keith, 1997; Keith, Kranzler, & Flanagan, 2001; McGrew, 1997; Phelps, McGrew, Knopik, & Ford, in press).”
- The Higher-stratum Structure of Cognitive Abilities: Current Evidence Supports g and About Ten Broad Factors (2003, methodology): “(1) The classic view of Spearman (1927, or particularly in a book published posthumously, Spearman & Wynn Jones, 1950), Thurstone and Thurstone (1941), Jensen (1998), and many others, that one can accept the existence of a general factor and of a series of nongeneral "broad" factors that together co”
- What Does the WISC-IV Measure?-Validation of the Scoring and CHC-based Interpretative Approaches (2009, methodology): “Following the main procedures of Keith and his colleagues (Keith, 2005; Keith et al., 2006; Keith & Witta, 1997), equivalence of covariance matrices across age bands first tested whether the WISC-IV measured the same constructs across ages.”
- Wechsler Preschool and Primary Scale of Intelligence—Fourth Edition (2012, background): “Rival alternate bifactor (Holzinger & Swineford, 1937)/nested factor (Gustafsson & Balke, 1993; Keith, 2005)/direct hierarchical (Gignac, 2005, 2006, 2008) models should have been tested and often are equally or better fitting.”
- Cattell-Horn-Carroll Abilities and Cognitive Tests: What We've Learned from 20 Years of Research. (2010, methodology): “Factor analyses presented in the manual and elsewhere generally supported the structure of the test as measuringGc, Gf, and delayed recall (Kaufman & Kaufman, 1993; Keith, 2005).”
- WAIS-IV and Clinical Validation of the Four- and Five-Factor Interpretative Approaches (2013, background): “…stimuli of the Arithmetic task logically invoke interpretations based partly on quantitative reasoning (RQ), which is considered a narrow ability under fluid reasoning in the CHC model of intelligence (Carroll, 1993; see Keith & Reynolds, 2012, pp. 793-795 for a test of the RQ-Gf hypothesis).”
- Cattell–Horn–Carroll cognitive‐achievement relations: What we have learned from the past 20 years of research (2010, methodology): “Via multiple group confirmatory factor analysis (MGCFA), Keith (1997) reported the models to be invariant across groups.”