Kari L. Woods

A Path Analysis of Reading Comprehension for Adults With Low Literacy

Adult literacy interventions often rely on models of reading validated with children or adult populations with a broad range of reading abilities. Such models do not fully satisfy the need for intervention research and development for adults with low literacy. Thus, the authors hypothesized that a model representing the relationship between reading component skills would be predictive of reading comprehension for an adult population with low literacy and beneficial to adult literacy researchers. Using data from 174 adults participating in adult basic education and secondary education programs, the authors performed a path analysis of component skills’ contribution to reading comprehension. The findings are clear that existing reading models do not describe this population. The implications are discussed in terms of instructional and curricular interventions.

Cognitive Processing Deficits and Students with Specific Learning Disabilities: A Selective Meta-Analysis of the Literature

Many practitioners and state education agency staff would likely agree that the accuracy and consistency of specific learning disability (SLD) eligibility decisions is in need of improvement. One component of the SLD definition particularly controversial in the identification procedures is the evaluation of cognitive processes, primarily due to a lack of information about the role they might play in informing an SLD diagnosis and eligibility for special education services. A meta-analysis of 32 studies was conducted to examine the cognitive processing differences between students with SLD and typically achieving peers. The analysis found moderately large to large effect sizes in cognitive processing differences between groups of students with SLD and typically achieving students. These differences are of sufficient magnitude to justify including measures of cognitive processing ability in the evaluation and identification of SLD.

Underlying Reading-Related Skills and Abilities Among Adult Learners

This exploratory study identified underlying skill and ability differences among subgroups of adolescent and young adult struggling readers (N = 290) overall and in relation to a fluency-based instructional grouping method. We used principal axis factoring of participants’ scores on 18 measures of reading-related skills and abilities identified in the research literature to identify a smaller set of generally uncorrelated constructs. The four underlying factors of the 18 measures explained 62.7% of the variance. We labeled these factors Encode/Decode (44.5%), Vocabulary (9.5%), Processing Speed (5.2%), and Working Memory (3.5%). Regression analysis demonstrated Working Memory, Encode/Decode, and Vocabulary collectively predicted 45.9% functional reading as measured by the Comprehensive Adult Student Assessment System. Alternatively, when measured by the Test of Adult Basic Education, Vocabulary and Encode/Decode predicted 47.1% of variance in reading. Differences in predictive utility of the factors by fluency group suggest approaches to tailoring instruction for each group. Future research might examine the optimal mix of instructional approaches that support the identified factors.

Literacy profiles of at‐risk young adults enrolled in career and technical education

A latent profile analysis of 323 economically and academically at-risk adolescent and young adult learners yielded two classes: an average literacy class (92%) and a low literacy class (8%). The class profiles significantly differed in their word reading and math skills, and in their processing speeds and self-reported learning disabilities. The class profiles did not significantly differ in their language comprehension and cognitive processing/working memory abilities. These findings suggest targeted instructional interventions to overcome deficits, leading to overall improvements in literacy and numeracy among this important population.

Literacy components model for at-risk young adults enrolled in career and technical education

Little is known about literacy skills of an important adult population: educationally and economically disadvantaged young adults. This exploratory study used principal components analysis of 33 measures of reading subskills, spelling, maths, memory and other cognitive processes among 335 at-risk 16- to 24-year-olds enrolled in a career and technical education programme. The analysis yielded a five-component model explaining 69% of the variance in the data. Most of this variance was attributed to two components: element and word skills (including spelling) and language comprehension (including vocabulary). Using these components, models predicting two performance criterion measures yielded different results. A model using all five components predicted 51% of functional reading measured by the Comprehensive Adult Student Assessment System. A three-component model with element and word skills, language comprehension and processing speed predicted 55% of variance in reading comprehension measured by the Test of Adult Basic Education. Implications of these findings for further research are discussed.