Showing posts with label specific abilities. Show all posts
Showing posts with label specific abilities. Show all posts

Wednesday, November 06, 2024

Research Byte: Predicting #Achievement From #WISC-V #Composites: Do #Cognitive-Achievement Relations Vary Based on #GeneralIntelligence?

Predicting Achievement From WISC-V Composites: Do Cognitive-Achievement Relations Vary Based on General Intelligence?

Click here for open access PDF of article.

Abstract 

In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III ( N = 181) to examine which WISC-V Index scores predicted children’s specific and broad academic skills and if cognitive-achievement relations varied by general intelligence. Verbal abilities predicted most academic skills for children of all ability levels, whereas processing speed, working memory, visual processing, and fluid reasoning abilities differentially predicted specific academic skills. Processing speed and working memory demonstrated significant interaction effects with full-scale IQ when predicting youth’s essay writing. Findings suggest generalized intelligence may influence the predictive validity of certain cognitive tests, and replication studies in larger samples are encouraged.

Tuesday, November 20, 2007

Another g+specific abilities and rdg. ach. study

Yet another g+specific CHC-to-rdg achievement study has been published. This Journal of Psychoeducational Assessment "in press" article, by Nick Benson, also uses the WJ III norm data [conflict of interest disclosure - I'm a coauthor or the WJ III]. This research differs significantly from most all prior g+specific abilities causal SEM modeling investigations by including not only effects between CHC cognitive abilities and reading, but causal effects among specific subskills of reading (reading fluency, basic reading skills, reading comprehension). The abstract is below.

Blogmaster comment - the evidence continue to mount that indicates, when using a comprehensive cognitive ability taxonomy (CHC theory), construct valid measures from the major broad CHC domains, and methodology that allows the simultaneous effects of both general intelligence (g) and specific cognitive abilities in the analysis, that some specific cognitive abilities are important in understanding school achievement above an beyond the influence (effect) of g. Other studies that support this position are listed below the current featured article abstract.

Abstract
  • Structural equation modeling procedures are applied to the standardization sample of the Woodcock–Johnson III to simultaneously estimate the effects of a psychometric general factor (g), specific cognitive abilities, and reading skills on reading achievement. The results of this study indicate that g has a strong direct relationship with basic reading skills until about sixth grade. Also, g is found to have a strong indirect effect on reading fluency and comprehension across grade levels. Basic reading skills has a strong direct effect on reading fluency across grade levels. The effect of cognitive processing speed (Gs) on reading fluency increase with age. Reading fluency initially has a strong direct effect on reading comprehension, but this effect is reduced with age. Conversely, the direct effect of crystallized intelligence or knowledge (Gc) on reading comprehension increase with age.
Other supporting g+specific abilities research studies.
  • Bensen, N. (2007, in press). Cattell-Horn-Carroll cognitive abilities and reading achievement. Journal of Psychoeducational Assessment (this is the article featured above)
  • Flanagan, D. P. (2000). Wechsler-based CHC cross-battery assessment and reading achievement: Strengthening the validity of interpretations drawn from Wechsler test scores. School Psychology Quarterly, 15(3), 295-329.
  • Floyd, R. G., Keith, T. Z., Taub, G. E., & McGrew, K. S. (2007). Cattell–Horn–Carroll cognitive abilities and their effects on reading decoding skills: g has indirect effects, more specific abilities have direct effects. School Psychology Quarterly, 22, 200-233.
  • Keith, T. Z. (1999). Effects of general and specific abilities on student achievement: Similarities and differences across ethnic groups. School Psychology Quarterly, 14(3), 239-262.
  • McGrew, K. S., Flanagan, D. P., Keith, T. Z., & Vanderwood, M. (1997). Beyond g: The impact of Gf-Gc specific cognitive abilities research on the future use and interpretation of intelligence tests in the schools . School Psychology Review, 26(2), 189-210.
  • Taub, G., Floyd, R. G., Keith, T. Z., & McGrew, K. S. (in press). Effects of general and broad cognitive abilities on mathematics achievement from kindergarten through high school. School Psychology Quarterly.
  • Vanderwood, M. L., McGrew, K. S., Flanagan, D. P., & Keith, T. Z. (2002). The contribution of general and specific cognitive abilities to reading achievement. Learning and Individual Differences, 13, 159-188.
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Sunday, September 23, 2007

"g" and specific cognitive abilities and reading decoding

This is a follow-up to a prior IQs Corner PREPLOG post. The following article has now been published. [Conflict of interest note - I'm a coauthor on this article and also a coauthor of the WJ III battery, the source of the data for the study]

  • Floyd, R., Keith, T., Taub, G. McGrew, K. (2007). Cattell–Horn–Carroll Cognitive Abilities and Their Effects on Reading Decoding Skills: g Has Indirect Effects, More Specific Abilities Have Direct Effects. School Psychology Quarterly, 22(2), 200-223 (click here to view/download)
Abstract
  • This study employed structural equation modeling to examine the effects of Cattell–Horn–Carroll (CHC) abilities on reading decoding skills using five age-differentiated subsamples from the standardization sample of the Woodcock–Johnson III (Woodcock, McGrew, & Mather, 2001). Using the Spearman Model including only g, strong direct effects of g on reading decoding skills were demonstrated at all ages. Using the Two-Stratum Model including g and broad abilities, direct effects of the broad abilities Long-Term Storage and Retrieval, Processing Speed, Crystallized Intelligence, Short-Term Memory, and Auditory Processing on reading decoding skills were demonstrated at select ages. Using the Three-Stratum Model including g, broad abilities, and narrow abilities, direct effects of the broad ability Processing Speed and the narrow abilities Associative Memory, Listening Ability, General Information, Memory Span, and Phonetic Coding were demonstrated at select ages. Across both the Two-Stratum Model and the Three-Stratum Model at all ages, g had very large but indirect effects. The findings suggest that school psychologists should interpret measures of some specific cognitive abilities when conducting psychoeducational assessments designed to explain reading decoding skills.

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Tuesday, April 17, 2007

IQ PREPLOG: CHC cognitive abilities and writing achievement

This is an IQ PREPLOG. The following CHC-conceptualized manuscript, which investigates the relations between cognitive abilities and writing achievement, is now "in press" in Psychology in the Schools. [conflict of interest disclosure - I'm a coauthor of the WJ III, the instrument used in the study]

Floyd, R. G., McGrew, K. S., & Evans, J. J. (in press). The relative contributions of the Cattell-Horn-Carroll (CHC) cognitive abilities in explaining writing achievement during childhood and adolescence. Psychology in the Schools. (click here-manuscript and here-figures)

Abstract

  • This study examined the relative contributions of measures of Cattell–Horn–Carroll (CHC) cognitive abilities in explaining writing achievement. Drawing from samples that covered the age range of 7 to 18, simultaneous multiple regression was used to regress scores from the Woodcock-Johnson III (WJ III; Woodcock, McGrew, & Mather, 2001) that represent CHC broad and narrow abilities onto the WJ III Basic Writing Skills and Written Expression cluster scores. At most age levels, Comprehension–Knowledge demonstrated moderate to strong effects on both writing clusters, Processing Speed demonstrated moderate effects on Basic Writing Skills and moderate to strong effects on Written Expression, and Short-Term Memory demonstrated moderate effects. At the youngest age levels, Long-Term Retrieval demonstrated moderate to strong effects on Basic Writing Skills and moderate effects on Written Expression. Auditory Processing and Phonemic Awareness demonstrated moderate effects on only Written Expression at the youngest age levels and at some of the oldest age levels. Fluid Reasoning demonstrated moderate effects on both writing clusters only during some of the oldest age levels. Visual-Spatial Thinking primarily demonstrated negligible effects. The results provide insights into the cognitive abilities most important for understanding the writing skills of children during the school-age years.
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Saturday, November 12, 2005

Ga, Glr, Gs and early reading - relative contributions and shared prediction variance

Although the conclusions of this study must be tempered by the small sample size, the study provides some interesting conclusions regarding the potential shared variance between some of the “hot” abilities that have been identified in the early reading literature. Of particular interest is the conclusion that the effect of RAN (Glr-NA) may be mediated via phonological processing (Ga-PC). The relative contribution of such CHC conceptualized abilities as Glr-NA, Gs, and Ga-PC to the prediction of reading are interesting to ponder.

Bowey, J., McGuigan, M. & Ruschena, A. (2005) On the association between serial naming speed for letters and digits and word-reading skill: Towards a developmental account Journal of Research in Reading, 28 (4) 400–422. [Click here to view entire article]

Abstract [Note - CHC ability codes inserted by blogmaster]
  • The current study examined several alternative explanations of the association betwee serial naming speed within fourth-grade children by determining the extent to which the association between word reading [Grw-RD]and naming speed [Glr-NA]for letters and numbers is mediated by global processing speed (Gs], alphanumeric symbol processing efficiency and phonological processing ability [Ga-PC]. Children were given multiple measures of key constructs, i.e. word-level reading, serial naming of both alphanumeric and non-alphanumeric items, phonological processing ability, articulation rate and global processing speed. The robust association between alphanumeric naming speed and reading within fourth-grade children was largely mediated by phonological processing ability. Markedly different patterns of results were observed for naming speed for letters and digits and naming speed for colours and pictures in children of this age. Relative to the latter, alphanumeric naming speed better assesses an underlying phonological processing ability that is common to word-reading ability. We argue that item identification processes contribute little to individual differences in alphanumeric naming speed within relatively proficient readers and that the extent to which alphanumeric naming speed primarily reflects phonological processing is likely to vary with the level of overlearning of letters and numbers and their names.

Relative importance of Ga
  • Overall, our findings suggest that phonological processing ability largely mediates the association between alphanumeric naming speed and reading within children who are beyond the earliest stages of reading acquisition. In our fourth graders, phonological processing ability explained 61% of variance in word reading. The major source of the variance shared by naming speed and word reading was phonological processing ability. Of the 21% of variance shared by alphanumeric naming speed and word reading, only 2% was independent of phonological processing ability; of the 8% of variance shared by non-symbol naming speed and word reading, only 2% was independent of phonological processing ability. However, alphanumeric naming speed shared 19% of variance with phonological processing ability but non-symbol naming speed shared only 6%. Given these findings, it follows that one or more components of the non-symbol naming task that contribute substantially to variance in naming speed are not shared with word reading, phonological processing ability or naming speed for letters and digits.
Relative importance of Gs
  • Replicating previous work, we found that global processing speed was associated with word-reading ability. In our fourth-grade children, global processing speed explained 13% of variance inword reading However, although global processing speed largely mediated the association between non-symbol naming speed and word-reading skill, it did notmediate the association between word-reading skill and serial naming speed for lettersand digits; with global processing speed effects controlled, alphanumeric naming speed still explained 12% of additional variance in reading.
Relative importance of different Glr-NA measures/constructs
  • Our findings revealed the clear need to distinguish between naming speed for letters and digits and naming speed for colours and pictures. Composite measures of alphanumeric and non-symbol naming speed were each significantly correlated with word-level reading, but the association was considerably stronger for alphanumeric naming speed. While naming speed for letters and digits shared 21% of variance with word reading, naming speed for colours and pictures of common objects shared only 8%. The tasks of rapidly naming letters and digits and colours and pictures obviously include the same sub-processes, and our composite measures of these tasks shared 41% of variance. Relative to rapidly naming non-symbol items, alphanumeric naming speed better assesses one or more underlying abilities or additional processing components common to word-reading skill. One candidate is some aspect of automatised orthographic processing (Bowers & Wolf, 1993). According to this view, alphanumeric naming speed predicts variation in word-reading skill independently of phonological processing ability. Indeed, this claim comprises a central argument in the rationale underlying the orthographic processing efficiency account (Bowers & Wolf, 1993; Bowers et al., 1994). Alphanumeric naming speed tasks require children to identify and name a continuous series of letters or single-digit numbers as fast as they can. Non-symbol naming speed tasks differ only in that children are required to name colour patches or pictures of familiar objects. Serial alphanumeric and non-symbol naming tasks thus differ primarily in the familiarity of the items to be identified and named. Letters and numbers are encountered far more frequently than line drawings of objects and within standard fonts are probably identified on the basis of a constrained set of features, making for automatised identification within children of this level of reading development. Our findings revealed quite different patterns of results for naming speed for letters and digits and naming speed for colours and pictures in children of this age. Relative to the latter, alphanumeric naming speed better assesses an underlying phonological processing ability that is common to word-reading ability. The variance shared by alphanumeric naming speed and word reading did not appear to reflect an independent orthographic processing ability. We argue that item identification processes contribute little to individual differences in alphanumeric naming speed within relatively proficient readers. The extent to which alphanumeric naming speed primarily reflects phonological processing is likely to vary with the level of over-learning of letters and numbers and their names, so that predictably different outcomes may be observed in beginning readers and within severely disabled readers.