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Building Fluency with POSSuM

December 29, 2017

In our last post, we made a case for the critical role of fluency as a determinant for students' overall reading achievement. We also hinted at an alternate framework for thinking about the development of fluency and used the a friendly acronym - POSSuM, to remember the essential elements. 

 

 

 

POSSuM Offers A Road Map for Fluency

When young readers learn to read, a complex set of networks that underlie many perceptual, cognitive, affective, and linguistic processes are activated.  Eventually, with much exposure and practice, these processes become connected and form the reading brain circuit. Within 280 milliseconds of encountering a word, the fluent reader not only recognizes the sounds of letters (phonology), and matches them to their visual symbols (orthography)  the reader also activates all associated word meanings (semantics) and knowledge of text structure (syntax) (Adams 1990; Wolf, 2016). In addition, the reader’s morphological knowledge of the roots and affixes of words (e.g., prefixes and suffixes) become a multi-cue system that reinforces quick (that is, more fluent) recognition of common letter patterns, as well as rapid cues to syntactic function and word meaning (Burani, 2010).

 

POSSuM Is Essential for Students with Dyslexia

Dyslexia is characterized in part by the striking inability to read accurately and/or fluently, despite adequate exposure and instruction. Yet, beyond the broad definition of dyslexia, significant evidence now demonstrates that rather than a homogenous impairment, dyslexia is a heterogeneous disorder with specific profiles or (subtypes) of strength and deficit patterns (Wolf & Bowers, 1999; Wolf et al., 2002; Miller et al., 2006).

 

Students with Dyslexia Can Struggle with Fluency

Each subtype is characterized with strengths and weaknesses in the processes that contribute fluency development. The first deficit in phonological processing or decoding is more widely acknowledged and detected (Lovett, Steinbach & Frijters, 2000). The second deficit, naming- speed deficit, is related to the speed and accuracy of  students’ automatic access to and retrieval of labels when they are presented with a visual symbols, for example rapidly naming a letter, number, color, or object (Bowers & Swanson, 1991; Wolf, Bowers & Biddle, 2000).  This deficit is conceptualized not simply as a problem in retrieval, but as a deficiency in the processing speed necessary to connect visual and linguistic knowledge.  As such, it is conceptualized as an emerging mini-circuit of the same processes that must be connected in the later developed reading brain.

 

When teachers provide direct, intensive and systematic instruction across all the POSSuM elements of word knowledge they offer the stimulus necessary to activate all areas of word knowledge (the sounds, letter patterns, meanings, parts of speech and affixes). There is mounting evidence to demonstrate that the POSSuM approach is more effective than repeated reading approach, and/or phonics instruction alone in developing fluency and comprehension. 

 

How POSSuM Maps Onto the Reading Brain

The Evidence Behind POSSuM

The efficacy of using POSSuM,  or a similar multi-componential approach to developing automaticity across all aspects of word knowledge has been evaluated in multiple large-scale longitudinal studies which followed the impact of interventions. 

 

The first longitudinal study found that racially, and socio-economically diverse struggling readers (n=279) who received 70 hours of a phonics program combined with a curriculum based on the POSSuM framework called RAVE-O (Reading through Automaticity, Vocabulary, Engagement, and Orthography) made more significant gains in reading fluency and comprehension than those who received phonics instruction along (Morris et al., 2011). 

 

The second longitudinal study evaluated the combination of RAVE-O and another multi-componential program Empower (Lovett, Steinbach & Frijters, 2000), thus amplifying the impact on a separate group of diverse elementary-aged struggling readers (n= 237). These students made gains on GORT oral reading fluency and reading comprehension equivalent to a medium effect (d = .76) and large effect (d =.90) respectively (Lovett et al., 2017). This effect is larger than effects procured by interventions that focused on building fluency through repeated reading (National Reading Panel, 2000). 

 

These robust studies support the mounting evidence that instruction on multiple components of the reading circuit-- at both the lexical and sublexical levels-- is essential to producing substantial effects on fluency and comprehension.

In subsequent posts, we will discuss the individual elements of the POSSuM framework and the ways in the approach can be integrated into existing remediation. 

 

References

Bowers, P. G., & Swanson, L. B. (1991). Naming speed deficits in reading disability: Multiple measures of a singular process. Journal of experimental child psychology, 51(2), 195-219.

 

Lovett, M. W., Frijters, J. C., Wolf, M., Steinbach, K. A., Sevcik, R. A., & Morris, R. D. (2017). Early intervention for children at risk for reading disabilities: The impact of grade at intervention and individual differences on intervention outcomes. Journal of Educational Psychology. doi:10.1037/edu0000181

 

Lovett, M. W., Steinbach, K. A., & Frijters, J. C. (2000). Remediating the core deficits of developmental reading disability A double-deficit perspective. Journal of learning disabilities, 33(4), 334-358.

 

Miller, C. J., Miller, S. R., Bloom, J. S., Jones, L., Lindstrom, W., Craggs, J., . . . Hynd, G. W. (2006). Testing the double-deficit hypothesis in an adult sample. Annals of Dyslexia,56(1), 83-102. doi:10.1007/s11881-006-0004-4

 

Morris, R.D., Lovett, M.W., Wolf, M., Sevcik, R.A., Steinbach, K.A., , J.C., & Shapiro, M. (2011). Multiple-component remediation for developmental reading disabilities: IQ, SES, and Race as factors on remedial outcome. Journal of Learning

Disabilities, May 5, 2010, pp 1-29.

 

National Reading Panel. (2000). Teaching children to read: An evidence-based assessment of the scientific literature on reading and its implications for reading instruction. Washington, DC: National

 

Wolf, M., Bowers, P. G., & Biddle, K. (2000). Naming-speed processes, timing, and reading A conceptual review. Journal of learning disabilities, 33(4), 387-407.

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