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Scholarly Artices on Kids Learning to Read

Written By domingo, 6 de março de 2022 Add Comment Edit

The ultimate goal of reading is comprehension: for the reader to reconstruct the mental world of the writer. Every bit skilled readers, this commonly feels pretty effortless and comprehension flows naturally equally we read along. This sense of ease is misleading, withal, as information technology belies the complexity of what nosotros do every bit we read, even when a text is simple and straightforward. A whole range of cognitive and linguistic operations are at play, from identifying individual words through to making inferences nearly situations that are not fully described in the text (Castles, Rastle, & Nation, 2018). This complexity ways that finding a simple answer to questions like "how does reading comprehension develop" and "why does information technology sometimes fail" quickly becomes an impossible job.

Confronting this complication, enter the Simple View of Reading. This was first described by Gough and Tunmer in 1986, and supported with data in a follow-upward paper by Hoover and Gough (1990). Together, these two papers take been cited over 5000 times in the academic literature (source: Google Scholar, January 2019) and the influence of the Simple View has been building in educational policy and practice (e.g., Rose, 2006). I was fortunate to begin my career every bit a post-physician working with Maggie Snowling, employed on a project inspired by the Simple View—and from our first paper onwards (Nation & Snowling, 1997), it provided the framework within which we set up our work. Over xx years after, my goal in this paper is to consider the question "why do some children find reading comprehension difficult" from the perspective of the Simple View, and by discussing some of the research it has motivated.

I begin by introducing the Simple View of reading and outlining some of the testify that supports it. Function II volition consider reading comprehension in children who struggle to read words. In Part III, attention turns to poor comprehenders—children who read words fairly but nevertheless accept reading comprehension difficulties. Finally, in Part IV, I offering some reflections on the Elementary View of reading and consider its many strengths, besides every bit some limitations.

Function I: introducing the Simple View of reading

What is the Simple View?

Imagine yourself a fluent speaker of a foreign language but with no knowledge of its written form. Reading comprehension would fail as y'all would have no ability to access meaning from print. If the text was read to yous, notwithstanding, agreement would follow, via listening. An alternative scenario is equally easy to imagine. It would be quite possible for you to larn to assign acceptable pronunciations to words printed in a foreign language, just this would not hateful that yous were able to encompass what had been written in that linguistic communication.

The Unproblematic View of reading (Gough & Tunmer, 1986; Hoover & Gough, 1990) elegantly captures the essence of these scenarios by stating that reading comprehension is the product of two sets of skills, decoding and linguistic comprehension (RC = D ten LC, illustrated in Figure 1). We will return to definitions shortly but for present purposes, decoding tin be divers as the ability to identify words in print and linguistic comprehension as the ability to understand spoken linguistic communication. The logical case for the Uncomplicated View is clear and compelling: both decoding and linguistic comprehension are necessary for reading comprehension and neither alone is sufficient. Like a fluent speaker of a strange language who has never seen it written down, if a child cannot decipher words from impress they accept no facility to sympathize written language, no matter how sophisticated their understanding in the oral domain might be. Similarly, beingness able to decipher words brings no guarantee that a kid will sympathise what it is they have read. The Uncomplicated View assumes that one time written input is decoded,

Figure 1. The Unproblematic View of reading.

reading comprehension is accomplished via exactly the same processes used to understand spoken language. If those processes are absent-minded or not working well, reading comprehension will also fail, fifty-fifty if the material has been decoded perfectly. The Simple View also states that the relative contributions of decoding and linguistic comprehension to reading comprehension should change over time. Early on, reading comprehension is highly constrained by limitations in decoding. As children get older and decoding skills increment, the correlation between linguistic comprehension and reading comprehension strengthens. This reflects the fact that once a level of decoding mastery has been achieved, reading comprehension is ultimately constrained past how well an private understands spoken linguistic communication.

It is hard to argue with the underlying principles of the Simple View, or with the evidence base that now supports it. For instance, Lervag, Hulme, and Melby-Lervag (2018) followed nigh 200 Norwegian children every bit they learned to read. They measured decoding and linguistic comprehension in multiple means to form latent variables to capture each construct. Nearly all of the variation in reading comprehension at seven.5 years was captured by the two constructs, decoding and linguistic comprehension. Other studies taking a similar arroyo have found the same (e.g., Language and Reading Research Consortium [LARRC] & Chui, 2018; Hjetland et al., 2019; Lonigan, Burgess, & Schatschneider, 2018) and findings are robust across alphabetic (Florit & Cain, 2011) and non-alphabetic writing systems (Ho, Grub, Wong, Waye, & Bishop, 2012). In that location is likewise bear witness to support the changing design of associations between decoding, linguistic comprehension and reading comprehension over time, with the correlation between linguistic comprehension and reading comprehension strengthening, every bit children'due south decoding skills increase (Catts, Adlof, Hogan, & Weismer, 2005; García & Cain, 2014; LARRC, 2015). Taken together, this evidence base provides overwhelming support for the Unproblematic View, including the principle that it "does not deny the complexity of reading, just asserts that such complexities are restricted to either of the two components" (Hoover & Gough, 1990, p. 150).

Defining decoding and linguistic comprehension

What exactly is meant by "decoding" and "linguistic comprehension"? Starting with decoding, this has been operationalised in unlike ways in different studies. Some experiments have compared words and nonwords while others accept investigated whether fluency is a better index than accuracy (due east.thousand., Adlof, Catts, & Footling, 2006; LARRC, 2015). Going dorsum to the original article, information technology is clear that Gough and Tunmer (1986) themselves grappled with how all-time to define decoding. They explained that it tin refer to the overt "sounding-out" of a word (sometimes termed phonological decoding or alphabetic decoding), perhaps equally measured by nonword reading. But, they argued, this is not what skilful reading comprehension demands. Instead, comprehension in skilled readers depends on high quality input from a discussion recognition system that identifies words quickly and precisely (Perfetti, 2008). For the Uncomplicated View to adequately draw skilled reading, "decoding" needs to be defined and measured by something that captures this fluency and expertise. At the aforementioned fourth dimension however, this definition does non piece of work for children at the outset of learning to read equally their give-and-take recognition system is non yet in place and reading is far from fluent and expert. What needs to be captured by the term "decoding" is dependent on the reading level of the individual.

At the eye of this issue is the demand to consider learning and development. The beauty of the Simple View is that it explains variation in a way that is timeless: the equation RC = D x LC works for start readers as information technology does skilled readers, assuming the constructs take been measured appropriately. Critically nonetheless, the Simple View does non, on its own, explain how development happens—how children move from overt and laborious phonological decoding to reading words effortlessly and fluently. For that, we need focussed and precise cognitive models that are developmentally informed. There is consensus that phonological decoding provides the initial foundation for learning to read words in English language (e.g., Ehri, 2005; Share, 1995). From this starting point, children gradually accrue orthographic knowledge via reading experience. This is a boring process of building expertise through which children harness their powers of perception, memory and language to learn and to generalise (see Castles et al., 2018). The Simple View does non explain in detail how any of this is achieved. Nor does information technology intend to. Instead information technology provides a theoretical framework to assistance united states empathise variation in reading comprehension across individuals at any detail fourth dimension-point. How "decoding" is defined and measured needs to reflect the appropriate developmental time-point, and as well familiarity with the words being read. Learning is likely to go on in an item-based fashion, then that at any signal in fourth dimension a person may be reading some words slowly and only with great try, while other words are read rapidly and efficiently with less reliance on phonological decoding (Castles & Nation, 2006; Share, 1995).

Let the states at present turn to the other component of the Unproblematic View, linguistic comprehension. This was defined by Hoover and Gough (1990, p. 131) as "the ability to accept lexical data (i.east., semantic information at the give-and-take level) and derive sentence and discourse interpretations". At a descriptive level this captures exactly what has to happen for reading (and linguistic communication) comprehension to be successful. But how should linguistic comprehension be measured? A mutual approach has been to use listening comprehension, typically measured using a reading comprehension exam but one that has been adjusted and so that children listen to the text rather than read it themselves. Some studies have argued that some other factor, be it vocabulary, inference-making or working retention, makes a direct contribution to reading comprehension (e.k., Oakhill & Cain, 2012; Ouellette & Beers, 2010; Tunmer & Chapman, 2012). A different approach has been to construct a latent variable that taps linguistic comprehension in a wide sense, drawing on multiple indicators. For example, Hjetland et al. (2019) formed a single cistron from measures of vocabulary, grammar, listening comprehension and verbal working memory. In line with the central tenet of the Uncomplicated View, variations in performance on this latent gene, in combination with variations in decoding, predicted well-nigh all of the variation in children'due south reading comprehension at 7 years of age. At that place is as well good evidence that variation in listening comprehension is itself a consequence of variation in underlying oral language. Lervåg et al. (2018) assessed 7.five year-olds' vocabulary, grammar, exact working retentivity and inference making skills. Together, these abilities predicted the children's listening comprehension.

Drawing across these studies, a stiff example can be made that linguistic comprehension is broadly captured by listening comprehension, that listening comprehension itself subsumes children's vocabulary, grammer and language processing abilities and that these abilities (along with decoding) predict reading comprehension (LARRC & Chui, 2018; Foorman, Petscher, & Herrera, 2018; Hjetland et al., 2019; Lonigan et al., 2018). As per our give-and-take of decoding, nonetheless, this does not explain how reading comprehension happens, nor how it develops. Comprehension is non typically a verbatim record of what's been read, replicating its form and structure. Instead, as people read or listen, they build a mental model, sometimes called a situation model, culminating in a rich interpretation of the text that goes beyond what is explicitly stated. The text is the substrate that allows the reader to pull in relevant data, including, for example, the meanings of words, rules of syntax, background knowledge and an appreciation of how the world works. This data is then candy to brand connections, draw inferences and construct intended meaning. The Uncomplicated View does not tell us how any of this achieved. For that, once again nosotros need to look to detailed cognitive models. An important lesson from the all-encompassing literature on reading comprehension is that it is not 1 affair that can be measured by a unmarried indicator. Instead, reading comprehension is the product of a circuitous ready of cognitive and linguistic factors operating beyond a text (for give-and-take, see Castles et al., 2018; Perfetti & Stafura, 2014), in interaction with the nature of the text and the purpose of the reading situation.

This discussion of definitional problems is not to say that the Elementary View is simulated or limited every bit a framework to help us understand variation in reading comprehension. On the contrary, the Simple View is extraordinarily successful in this regard. When measured comprehensively and reliably, variations in decoding and linguistic comprehension capture individual differences in reading comprehension almost perfectly (Hjetland et al., 2019); this means that the terms decoding and linguistic comprehension take utility, if we have that they announce circuitous constructs rather than explaining a detail cognitive process. At the aforementioned time, yet, to move us beyond capturing variance to empathise how cognitive and linguistic processes happen—and why they might go awry in children with poor reading and language – nosotros need to attend to finer level definitions. In keeping with the principles of the Simple View, I employ the terms decoding and linguistic comprehension in a neutral way throughout this paper every bit labels to note "things to practice with identifying words" and "things to do with understanding spoken communication" respectively.

Varieties of reading disorder within the Simple View

Gough and Tunmer (1986) used the Simple View to classify dissimilar types of reading problems. To illustrate, Figure 2 shows decoding and linguistic comprehension plotted orthogonally. Individuals can exist placed into this multidimensional space co-ordinate to their abilities on tasks that tap each of the two constructs.

Figure 2. Classifying reading disorders within the Uncomplicated View of reading.

For children falling in quadrant A, reading comprehension is constrained by poor decoding, whereas poor linguistic comprehension constrains those in quadrant D. Quadrant C captures children who are poor at both decoding and linguistic comprehension. The logic of the Uncomplicated View is that all three varieties of reading disorder—termed dyslexia, hyperlexia and garden-variety poor reader in the original paper—result in poor reading comprehension but for different reasons. Nomenclature may vary, but there's plenty of evidence for these singled-out reading profiles. Information technology'south rare to come across mention of "garden-variety" poor readers in the more recent literature, but children with co-occurring dyslexia and language damage are typically plotted in quadrant C (Bishop & Snowling, 2004; Catts et al., 2005). This quadrant is discussed in the side by side section, along with quadrant A ("archetype" dyslexia). Turning to quadrant D, there are complexities with the term hyperlexia (Nation, 1999). That is non to say that a quadrant D reading contour does non exist. These children are more typically described as poor (or less skilled) comprehenders. We will render to talk over quadrant D in Part 3.

Role 2: reading comprehension in children with poor decoding

Reading comprehension tends to be low in children and immature people with dyslexia (e.1000., Ferrer et al., 2015; Shaywitz et al., 1999). This is considered a direct result of poor decoding, and dyslexia is usually associated with quadrant A in the Simple View (e.g., Gough & Tunmer, 1986; Stanovich & Siegal, 1994). Rather surprisingly, however, few studies have investigated the nature of reading comprehension in dyslexia in much detail. Bruck (1990) assessed reading comprehension in a group of adults who had a history of developmental dyslexia. Although the hateful performance of the group was low-average (centile score of 41), at that place was huge variability in performance, with centile scores varying from half-dozen to 97. This shows that some children with dyslexia get on to make splendid progress in reading comprehension while others do not. Comparing those adults with good vs. poor reading comprehension, Bruck (1990) establish no differences in word or nonword reading. Notwithstanding, the 2 groups did differ in vocabulary: poor reading comprehension was associated with vocabulary deficits whereas expert reading comprehension was not. This finding can exist accommodated within the Uncomplicated View, on the assumption that while all of the participants had poor decoding, only a subset (those with low vocabulary) also had poor linguistic comprehension. Arguably, as decoding skills strengthened through evolution, adults with good vocabulary (quadrant A) were able to make gains in reading comprehension whereas those with low vocabulary (quadrant C) did not.

Bruck'south study tells u.s. that some people with a diagnosis of dyslexia too have broader language problems. These problems are not unusual, with weaknesses in vocabulary, grammar and discourse-level processing being seen in many studies (e.g., Catts, Fey, Tomblin, & Zhang, 2002; McArthur, Hogben, Edwards, Heath, & Mengler, 2000). At that place has been a tendency to consider these broader language problems as a consequence of the deficit in phonological processing that underpins dyslexia, or of reading failure itself. For instance, rather than a 18-carat problem with grammar, poor performance on a test of complex syntax might be a result of a phonological processing bottleneck disrupting working memory (east.g., Shankweiler et al., 1995). Or, if dyslexic children read less, they have less opportunity to build vocabulary via reading, such that vocabulary deficits emerge over time (Stanovich, 1986). Although these factors are likely to exist at play, it is now abundantly clear that they are not the whole story. First, in adults with a history of developmental dyslexia, oral linguistic communication accounts for directly variance in reading comprehension, even when decoding and phonological skills are controlled (e.g., Ransby & Swanson, 2003). Stronger show comes from family unit risk studies. These have consistently found that children who go on to receive a diagnosis of dyslexia in mid-babyhood testify language difficulties every bit infants and toddlers, well before reading failure could exert its influence (for meta-analysis across 21 independent studies and 95 articles, run across Snowling & Melby-Lervåg, 2016). These findings ostend poor language equally a forerunner; they likewise add together to the growing evidence base that sees low linguistic communication every bit an important factor within a circuitous multiple risk model of the disorder (Snowling & Melby-Lervåg, 2016; Pennington, 2006). Such evidence likewise forces united states to consider the overlap between dyslexia and spoken language difficulties, and how best to characterise the two types of difficulty. While a full discussion of this is beyond the scope of this paper (for further detailed discussion, run across Adlof & Hogan, 2018; Bishop & Snowling; 2004; Catts et al., 2005; Nash, Hulme, Gooch, & Snowling, 2013; Ramus, Marshall, Rosen, & van der Lely, 2013), it is important to touch on on some of this literature where it relates to reading comprehension outcomes in children with dyslexia.

Some studies following at-gamble children have now traced the path from pre-school language to school-aged reading comprehension. Broadly, these findings sit comfortably with the Simple View. Hulme, Nash, Gooch, Lervåg and Snowling (2015) analysed data from the Wellcome Reading and Language project. This longitudinal study recruited pre-schoolhouse children at high risk for poor reading (they had a diagnosis of developmental language disorder, or were at family hazard for dyslexia) and followed them through the primary school years. Hulme et al. (2015) institute that language skills (linguistic comprehension) at 3.5 years made a direct contribution to reading comprehension at 8.five years, and an indirect contribution via their outcome on decoding at v.five years, which also influenced reading comprehension at 8.5 years. Similar findings were reported past Van Settern et al. (2018) who found that vocabulary in Grade three explained a substantial corporeality of variance in Grade 6 in the Dutch Dyslexia Program, a longitudinal study following Dutch children at family adventure for dyslexia. Snowling, Hayiou-Thomas, Nash & Hulme (in preparation). categorised children from the Wellcome projection into four groups, based on their decoding and oral language profile at viii years: pure dyslexia (quadrant A), pure developmental language disorder (DLD; quadrant D), co-morbid dyslexia+DLD (quadrant C) or unimpaired (quadrant B). Equally predicted past the Simple View, all three impaired groups showed poor reading comprehension at 8 years. Interestingly, when re-assessed 12 months afterwards, the pure dyslexia group had improved in reading comprehension, relative to both the DLD and the combined group, although they were yet impaired relative to their typically-developing peers. Finally, the combined group showed the most severe deficits in reading comprehension at both time points, reflecting underlying weaknesses in both decoding and oral language.

Drawing across these at-risk studies, at that place is articulate evidence in line with Gough and Tunmer's view that "there is a common denominator in every case of dyslexia, a deficit which could stand up well as the proximal cause of the disorder. This is an inability to decode" (1986, p. viii). This exerts a direct influence on reading comprehension. Whether there are additional negative influences on reading comprehension from linguistic comprehension depends on the status of a child'southward oral language. Rather hitting is the proportion of children with dyslexia who have language weaknesses, placing them into quadrant C rather than the traditional home of dyslexia, quadrant A. For example, of the 50 poor decoders identified past Snowling, Nash, Gooch, Hayiou-Thomas, and Hulme (2019) at 8 years, only 21 had "pure" dyslexia; the other 29 also showed significant levels of language harm. One might argue that this high figure reflects the nature of the at-risk sample. Nevertheless, it chimes with other work showing that approximately 50% of children with a diagnosis of dyslexia accept linguistic communication weaknesses measured concurrently in a sample not recruited for family risk (east.grand., McArthur et al., 2000). It seems that when researchers mensurate oral linguistic communication in children identified on the basis of a diagnosis of dyslexia, information technology is not at all unusual to find high levels of poor oral language (encounter as well Adlof & Hogan, 2018).

Given the lack of research investigating reading comprehension in children with poor decoding, peculiarly from studies that have not recruited on the footing of family risk, I took the opportunity to expect into i of my own longitudinal datasets charting reading development from pre-school through the school years. The chief aim of the original project was to place poor comprehenders and nautical chart their reading and language development (Nation, Cocksey, Taylor, & Bishop, 2010; encounter Part 3). Notwithstanding, this rich dataset also provided an opportunity to explore patterns of reading comprehension in children identified on the basis of poor decoding.

The learning to read longitudinal dataset

This written report recruited a large and unselected sample of children on school entry shortly before their 5th altogether, and followed their reading and language development through the primary school years. Seventeen primary schools serving a socially mixed range of neighbourhoods in Oxfordshire took role in the study. All children get-go these schools at the commencement of the study were invited to participate. Informed consent from parents was received for 242 children (141 girls and 108 boys). The children were start assessed within 3 months of starting school, respective to a mean age of approximately 4 years and 10 months.

Our principal focus here is with data from two time points: when the children first entered school (Reception class, Grand age = 4.83 years, SD= 0.34, N = 242) and three years later (Year 2 in schoolhouse, Grand age = seven.23 years, SD= 0.35; North = 202). To compare profiles across language and literacy tests that had been standardised on different populations, raw scores on these tests were converted to z-scores, using the mean and standard deviation of the unabridged sample assessed at each fourth dimension point; for ease of reference, z-scores were transformed to standard scores (M = 100, SD= 15).

Reading skills at vii years beyond the entire sample

At this time signal, the children completed both the discussion (Discussion Reading Efficiency) and nonword (Phonemic Decoding) component of the Test for Discussion Reading Efficiency (TOWRE; Torgesen, Wagner, & Rashotte, 1999). This requires children to read aloud as many words (or nonwords) as possible in 45 due south and the number read correctly is converted to a measure of word (or nonword) reading fluency. The Neale Analysis of Reading Ability-Two (NARA-2; Neale, 1997) provided an assessment of text reading. In this test, children read aloud short passages of text (reading accuracy) and are then asked questions to assess literal and inferential agreement (reading comprehension). Finally, the British Ability Scales Give-and-take Reading subtest (Elliot, Smith, & McCullouch, 1996) provided an assessment of word reading. This is an untimed test in which children are presented with unmarried words and asked to read each aloud. Equally is clear from the data summarised in Tabular array 1, the correlation between performance across the dissimilar measures of reading was high.

Table 1. Correlation between different reading measures at 7 years across entire sample, North = 202.

Levels of reading comprehension in poor decoders at vii years

Next we turn to those children who were poor at decoding. Equally discussed earlier, decoding is divers and measured in different ways in different studies. Here, children were identified on the basis of poor performance (standard score below 83) on the TOWRE, averaging across the ii subtests. Thirty-four children were identified; from now on, I refer to these children as having a reading disorder (RD). Their performance across all reading assessments is detailed in Table 2. While there is some variation, it is notable that performance is low across the board, including in reading comprehension. Information technology is also of import to note that only 22 of the 34 RD children were able to complete the Neale Analysis: the other 12 struggled with reading individual words to the extent that testing was abandoned. This means that the text accuracy and comprehension scores reported in Tabular array 2 underestimate the difficulties experienced past the RD children; all the same, reading comprehension was very poor with every child scoring beneath population average.

Table 2. Performance of RD children on reading assessments at 7 years (standard scores derived from the entire sample, N = 202).

Oral language skills in children with RD at seven years

Table 3 summarises the operation of the 34 children on five different measures of oral language. Expressive vocabulary was measured using the vocabulary subtest from the Wechsler Abbreviated Intelligence Scales (WASI, Wechsler, 1999). Children were asked to provide definitions for words supplied by the experimenter. Sentence comprehension was measured using the Comprehension subtest from the Wechsler Intelligence Scale for Children (WISC, Wechsler, 2003), a test which requires children to answer orally-presented socially-relevant comprehension questions. Two subtests from the Clinical Evaluation of Language Fundamentals (CELF-3Uk; Semel, Wiig, & Secord, 2000) provided an judge of expressive and receptive language skills. Recalling Sentences requires children to repeat sentences of increasing length and grammatical complexity; Sentence Structure assesses acquisition of structural rules at the sentence level by request children to select a film that matches the target sentence. Finally, in the Bus Story (Renfrew, 1991) children listen to a narrative describing events in a motion picture volume. They so re-tell the story and their responses are analysed. Scores hither reflect the information content of their re-tells.

Table 3. Performance of RD children on measures of oral language at vii years (standard scores derived from the unabridged sample, Due north = 202).

Averaging beyond the 5 tests produced a mean standard score of 88, correct at the end bottom end of normal range. Yet, this average hides a substantial amount of variability. For each test, performance varied from extremely poor to good.

Comparing of "pure" RD and RD with poor linguistic communication at 7 years

It is clear that some children with RD at seven years of age also perform poorly on tasks tapping oral linguistic communication: in Simple View terms, they have poor linguistic comprehension alongside poor decoding. To investigate farther, I used Bishop et al.'due south (2009) methodology to classify a child every bit language dumb if they obtained at least two standard scores more than 1.33SD below the population mean on the five oral language measures described to a higher place. Of the 34 children with RD, 13 also met this criterion for language impairment. The results of this nomenclature exercise are summarised in upper function of Tabular array four. For children with reading disorder merely, scores were at the population average. As to exist expected, those classified as language dumb obtained scores well below the normal range.

Tabular array iv. Comparing of RD children with and without linguistic communication impairment at vii years.

Despite big differences in oral language characterising the two subgroups, they showed an identical blueprint of reading achievement across the all the reading tests, including reading comprehension (run across Figure 3).

Figure 3. Mean (SD) standard scores on reading assessments at vii years.

Tabular array 4 also shows the performance of the two subgroups on 3 assessments of phonological ability, namely two assessments of nonword repetition (the Children's Nonword Repetition Examination, Gathercole et al., 1996 and from the Comprehensive Test of Phonological Processing [CTOPP]; Wagner, Torgesen, & Rashotte, 1999) and one measure out of phoneme deletion (also from the CTOPP). Both groups performed beneath boilerplate on these tests, and at that place was no departure in profile or severity across the 2 groups.

In summary, children selected equally having RD at seven years of age, divers in terms of poor performance on give-and-take and nonword reading fluency, also showed significant impairments in reading comprehension (and phonological skills). Over a third of the group could be classified equally having a language impairment, placing them in quadrant C rather than quadrant A. Interestingly, having a concomitant linguistic communication harm was not associated with more severe reading comprehension difficulties. Despite relative strengths in oral language, reading comprehension was equally poor in the RD-but group equally the RD+LI group.

Having identified children with RD at 7 years and classified them on the basis of oral language at that time bespeak, nosotros at present plough to await back at the data from the 2 subgroups at school entry. Of involvement is the children's oral language at this time, before the onset of reading.

Looking backwards in fourth dimension: oral linguistic communication, phonological skills and emergent literacy at school entry

The 34 children identified as RD at 7 years were 4.88 years erstwhile (SD= 0.37) at the get-go assessment. Oral linguistic communication was measured using three different tests. Expressive vocabulary was assessed using the vocabulary subtest from the Wechsler Preschool and Chief Scale of Intelligence (WPPSI, Wechsler, 2002). Initial items require children to name pictures but virtually items involve the kid providing definitions for words supplied by the assessor. Children also completed the Test for Reception of Grammar-ii (TROG-two, Bishop, 2003). This measures children's comprehension of sentences, with grammatical complexity increasing over the test. Sentence comprehension was assessed using the comprehension subtest from the WISC, every bit administered at 7 years. Functioning is plotted in Effigy 4 for the 34 children identified equally RD at 7 years, separated by linguistic communication condition at 7 years.

Figure 4. Mean (SD) standard scores on oral language measures at 5 years, equally a office of reading and language condition at 7 years.

Consistent with their subsequently classification, children in the RD+LI group showed substantially lower levels of oral language at schoolhouse entry than children in the RD group. As the children were pre-readers, these language weaknesses cannot be attributed to lack of language learning via reading. It is notable that the RD-only children obtained mean language scores of 95, 93 and 93 for vocabulary, receptive grammar and sentence comprehension respectively. While there was variation inside the group, this by and large places the children within normal range, in contrast to those in the RD+LI group (recall that standard scores were calculated from the entire sample of children who were assessed at this time signal, N = 242). Overall, these findings point to stability in language skills, with profiles at schoolhouse entry mirroring those seen three years afterwards.

Five tests provided an cess of the children's phonological skills at school entry. Phonological sensation was measured using two subtests from the CTOPP (Wagner et al., 1999): Phoneme Elision, in which children delete an initial or last phoneme from orally presented words, and Sound Matching, where children hear three words and are asked to select which one starts (or ends) with the same sound equally a target particular. We also administered Rime Judgement, a task developed by Bird, Bishop, and Freeman (1995) to measure phonological sensation in young children. Children selected from an assortment of four pictures the ane that rhymed with a target detail. Nonword repetition was assessed using the Children'southward Examination of Nonword Repetition (Gathercole & Baddeley, 1996) and the Nonword Repetition subtest from the CTOPP.

Every bit shown in Figure five, the two subgroups did non differ in terms of phonological sensation. It is important to note that performance across the entire sample was quite depression in terms of phoneme deletion and audio-matching, as to be expected given the historic period of the children at this time point. Equally a outcome, the data must be interpreted charily. On the rime job (where functioning was stronger across the entire cohort), the RD-only children scored inside normal range, and performed better than the children in the RD+LI group. This pattern was also axiomatic beyond both measures of nonword repetition. It is interesting to note that the RD-only children performed quite well beyond all measures of phonological processing at school entry, yet past 7 years of age, they were below normal range, and performed as poorly equally the RD+LI children. This might reflect a blueprint of phonological skills becoming more impaired over fourth dimension, as children with RD benefit less from reciprocal links with reading and alphabetic cognition (see Nation and Hulme (2011) for a detailed investigation of this within the same dataset).

Figure 5. Mean (SD) standard scores on phonological measures at 5 years, equally a function of reading and linguistic communication status at 7 years.

Turning to reading, about of the children in the unabridged sample were unable to read at the starting time of the study. At that place was however a good corporeality of variation in letter knowledge. Tellingly, given their hereafter difficulties with word reading, letter of the alphabet cognition was depression for the children who were later classified as RD-only and RD+LI (standard scores of 84 and 83 respectively).

Looking frontward in time: reading accuracy and reading comprehension at 8 and x years

While it is possible to classify children as RD and RD+LI at 7 years, this is a young age to be measuring reading comprehension, peculiarly in children with manifestly poor reading at the word level. We had the opportunity to assess reading skills subsequently in fourth dimension, when the children were 8 years of historic period (N = 20 RD and 11 RD+LI) and once again at 10 years of age (N = 12 RD and 7 RD+LI). Operation on both the reading accuracy and reading comprehension components of the Neale Analysis of Reading Ability from these ii timepoints are plotted in Figure 6, forth with data from seven years. At no fourth dimension bespeak is there any difference in reading skills betwixt the RD-only and RD+LI subgroups; at x years of age, it is clear that the RD-only children are still poor at reading comprehension, despite their strengths in oral language. Effigy half dozen indicates some improvements over time in both groups, simply note that this upwardly trajectory reflects only small differences in terms of standard score.

Effigy 6. Mean standard scores of Neale Analysis (accuracy and comprehension) scores over time, as a role of reading and language status at 7 years.

Summary and give-and-take

This exploration of the Learning to Read dataset shows that 7-year-olds with poor decoding also evidence impairments in reading comprehension, in line with the principles of the Simple View. It would be a mistake, however, to infer that reading comprehension is compromised by poor decoding alone. Approximately i 3rd of the sample showed poor oral language at 7 years, and these difficulties were evident before in time, at schoolhouse entry. These findings marshal with data from family hazard studies (Snowling & Melby-Lervåg , 2016) and reinforce the need to consider children's linguistic communication skills as well as their decoding ability.

A number of implications follow for both inquiry and educational practise. For research, there is a pressing need to wait across standardised scores on an off-the-shelf exam of reading comprehension to consider the nature of reading comprehension in children with poor decoding. It is surprising that few studies have looked at reading comprehension itself in dyslexia. It would be interesting to vary question type, or use methods such equally centre tracking to investigate factors such as inference-making while reading. Such experiments could address whether there are systematic differences in RD children with and without concomitant oral language weaknesses. Longitudinal information are also needed to help the states to understand which children brand progress in reading comprehension, and how.

The consistent finding that a substantial proportion of children identified on the footing of poor decoding have co-occurring linguistic communication bug highlights the need to assess broader language skills in poor readers, and for intervention approaches to target linguistic communication every bit well as decoding. Duff, Fieldsend, Bowyer-Crane, Hulme, Smith, Gibbs and Snowling (2008) identified a subgroup of poor readers who had not responded to an intensive intervention programme targeting reading and phonology. As a group, these children showed depression language. Their expressive vocabulary was at the fivethursday centile, and their performance on tests of grammatical skill corresponded to the v.5 yr old level—yet they were nearly 8 years sometime. In contrast, poor decoders who had responded well to the reading and phonology programme in previous studies achieved normal-for-age vocabulary scores. These observations propose that co-occurring language difficulties identify children at risk of existence "treatment resistors", meaning more intensive and specialist provision is required, extending to rich oral language intervention equally well as teaching in decoding (see Duff et al., 2014; Fricke, Bowyer-Crane, Haley, Hulme, & Snowling, 2013). Extending these research findings to educational practice can be facilitated by collaborations betwixt teachers and speech and language pathologists (Adlof & Hogan, 2018; Snow, 2019).

Part III: poor comprehenders

Having reviewed poor decoding as a source of reading comprehension difficulty, we at present plow our attention to quadrant D. Poor comprehenders were kickoff described in the scientific literature by Oakhill (1982; 1983; 1984) who used the Neale Assay of Reading Ability to place children who appear to accept circumscribed difficulties with reading comprehension. In this test, children read aloud curt passages of text (generating a score for reading accuracy) and then answer questions to assess their literal and inferential agreement of the text, generating a score for reading comprehension. Oakhill (1982) identified 7–8 year olds who were disproportionality poor at reading comprehension, despite age-advisable reading accurateness. Looking across the experimental literature since Oakhill'south original piece of work, studies take used different option criteria. This makes precise prevalence difficult to gauge. Perhaps the almost reliable estimates come from nationally representative and big samples in the UK, extracted from the data used in the standardisation of the York Assessment of Reading for Comprehension (Snowling et al., 2009; Stothard, Hulme, Clarke, Barmby, & Snowling, 2010). In the primary school sample, v.three% of children with age-advisable levels of word reading ability obtained reading comprehension standard scores below 77.5 (equating to more than 1.five SDsouthward below average for their age); in the secondary schoolhouse sample, the effigy was 5%. Thus, poor comprehenders of this severity exist and this profile of reading difficulty is not rare.

As reviewed earlier, according to the Elementary View, reading comprehension is the product of decoding and linguistic comprehension. It follows from this that children identified as poor comprehenders must have deficits either in decoding, linguistic comprehension, or both. This logic forces the determination that reading comprehension deficits cannot be specific, only instead must be related to weaknesses in one or both of its component parts. For the children described above as having "specific" reading comprehension impairments, which component is at mistake?

Equally is to be anticipated given the pick methods used to identify poor comprehenders, weak decoding is an unlikely explanation for the patterns of poor reading comprehension identified past Oakhill in her early studies. Subsequent research has bolstered this conclusion. Information technology is non the case that poor comprehenders have accurate-but-slow reading, indicative of subtle decoding problems that cause a clogging and disrupt reading comprehension: it is perfectly possible to place poor comprehenders who have good reading fluency alongside good reading accuracy. For example, Ricketts, Bishop and Nation (2007) used assessments of word and nonword reading fluency (provided by the TOWRE, Wagner et al., 1999) to identify and match poor comprehenders with control children. These children were 8–10 years old. This leaves open the possibility that they might have had poor decoding earlier in development and this has somehow left a lasting legacy of less than optimal decoding, which in turn hampers reading comprehension. But this does not seem to exist the case. Reporting on data from the Learning to Read projection introduced in Role II, Nation et al. (2010) identified poor comprehenders in mid-childhood. They then looked back in the dataset to chart reading development from its initial stages onwards. Those children who went on to show a poor comprehender profile at eight years showed all the hallmarks of proficient decoding from the outset. They started schoolhouse with normal levels of letter knowledge, and throughout development they showed age-appropriate reading fluency for words and nonwords, and text reading too. For children identified every bit poor comprehenders then, weaknesses in decoding cannot explain why reading comprehension is compromised.

Turning to the other component of the Unproblematic View, there is enough of prove demonstrating that poor comprehenders show impairments on tasks that tap linguistic comprehension. Using a version of the Neale Analysis of Reading Power where the children listened to the stories rather than read them, Nation and Snowling (1997) establish that poor comprehenders performed less well than control children. As discussed before, listening comprehension is a broad construct: similar reading comprehension itself, there are many reasons why a child might notice it difficult. Nation et al. (2004) made a thorough investigation of 8–9 year-erstwhile poor comprehenders' oral language skills using a range of standardised assessments that tapped phonological skills every bit well as vocabulary, morphosyntax and the understanding of not-literal language. Consistent with prove from earlier experiments (Cain, Oakhill, & Bryant, 2000; Nation & Snowling, 1998; Stothard & Hulme, 1995), the poor comprehenders performed as well as their peers on the phonological tasks. Notwithstanding, on all other tests they performed less well than the command children as a grouping, leading Nation et al. to conclude that low language characterises many (but not all) poor comprehenders. Furthermore, a substantial minority of the sample showed significant language difficulties and met criteria for specific language damage (now known every bit developmental language disorder: Bishop, Snowling, Thompson, Greenhalgh, 2016).

An important question is whether these balmy-to-moderate oral linguistic communication weaknesses might be a issue of reading comprehension failure, rather than a forerunner. This is a plausible suggestion. Written language provides many opportunities to support linguistic communication development. Once children tin can read, they have the opportunity to learn new words via reading (Nagy, Anderson, & Herman, 1987) and to absorb the rich morphological cues to meaning that are evident in spelling patterns (Rastle, 2018, Rastle, 2019). Reading also provides feel with syntactic structures that are quite rare in conversation (Montag & McDonald, 2013). If poor comprehenders read less, this could contribute to oral linguistic communication deficits emerging over time as a consequence of this lack of input from reading feel.

The Learning to Read Project provided an opportunity to test this hypothesis straight. Nation et al. (2010) selected poor comprehenders on the ground of their reading profile at 8 years. Tracing back in the dataset to when the children started schoolhouse, the children who went on to be identified every bit poor comprehenders at 8 years on the basis of their reading profile showed low oral linguistic communication at 4.5 years and throughout the primary school years. Despite these linguistic communication weaknesses, the poor comprehenders showed age-appropriate phonological skills, consistent with the view that relative strengths in phonological ability supported the evolution of word reading, but relative weaknesses in other aspects of language contributed to the children's difficulties with reading comprehension. Similar findings accept been reported in other retrospective longitudinal studies (Catts, Adlof, & Weismer, 2006; Elwér, Keenan, Olson, Byrne & Samuelsson, 2013; Petscher, Justice, & Hogan, in press). Together, these findings show that oral linguistic communication weaknesses precede reading development in poor comprehenders, meaning that difficulties observed subsequently in evolution are not a straightforward consequence of lack of reading—although of course, reciprocal influences are to be expected.

In summary, the profile of strengths in decoding but relative weaknesses in aspects of oral language indicates that many poor comprehenders fit within quadrant D of the Simple View. More generally, the oral language profile that characterises poor comprehenders fits with what we have learned from typical development—that oral language skills are highly associated with listening comprehension (Lervåg et al., 2018; LARRC, 2017), and that variation in oral language and listening comprehension is associated with later reading comprehension (e.chiliad., Hulme et al., 2015).

I accept focused here on poor comprehenders—children identified on the basis of their reading profile. The literature on children with DLD (identified on the basis of primary impairments in oral language) also describes some children whose reading profile fits inside quadrant D. Many DLD children struggle with both decoding and linguistic comprehension, consistent with a quadrant C reading contour. Some, however, can decode quite well, merely equally to be expected given deficits in oral linguistic communication, reading comprehension tends to exist impaired (Catts et al., 2002; Nation & Norbury, 2005; Snowling et al., 2019). These children are probably overlapping with those identified as poor comprehenders—that is, when oral language is measured, some (but not all) poor comprehenders run across criteria for DLD, and when reading is measured, some (merely not all) children with DLD evidence the aforementioned reading contour every bit poor comprehenders.

Why does reading comprehension get incorrect for poor comprehenders?

The Unproblematic View is helpful in reminding us that reading comprehension has its bases in language comprehension. In one case children can read words fairly, variation in reading comprehension is strongly associated with variation in linguistic communication comprehension more generally. Across this truism, nevertheless, the Simple View does non provide further specification as to why comprehension might fail. Reading comprehension is not "one affair"; similar language comprehension more generally, it is a complex construct, cartoon on a range of cognitive and linguistic capacities (for review, meet Castles et al., 2018; Perfetti & Stafura, 2014). Is information technology possible to further specify where in this circuitous set of processes comprehension breaks down for poor comprehenders?

To address this question, experiments accept compared poor comprehenders and a control group on tasks hypothesised to be relevant to reading comprehension. These experiments have found that poor comprehenders are less able to brand inferences (Cain & Oakhill, 1999), understand words or actuate their meanings in context (Nation & Snowling, 1998, 1999), connect ideas in text (Ehrlich & Remond, 1997), think verbal information (Hua & Keenan, 2014) and monitor their comprehension (Oakhill, Hartt, & Samols, 2005). They are also less skilled at learning and remembering new words and calculation to their noesis (Cain, Oakhill & Elbro, 2003; Ricketts, Bishop, & Nation, 2008). It is hard to derive conclusions across different experiments, non least considering of methodological limitations such every bit sample size, and variations in historic period and the methods used to define samples. However, two observations are noteworthy. Start, there is no "magic profile" that captures all children and totally "explains" their poor comprehension. This reflects both the complexity of comprehension and the difficulty of separating i component of comprehension cleanly. As Castles et al. (2018) hash out in detail, comprehension is not only multifaceted with factors interacting in multiple ways during the process of reading, it is also complex developmentally, every bit factors collaborate and alter over time. Second, common to about of the experiments that find a poor comprehender departure is that the job is inside the verbal domain. For example, Pimperton and Nation (2010) found that poor comprehenders showed more interference in working retentivity, just only for verbal materials; when the job switched to the visuo-spatial domain, the poor comprehenders were indistinguishable from their peers. This is consistent with underlying language weaknesses influencing performance on whatsoever task that places demands on those linguistic resources—including, of class, reading comprehension. Farther enquiry is needed to unpack global constructs such equally "reading comprehension" and "linguistic comprehension", not least in society to guide effective teaching and intervention in the classroom.

Assessment and intervention for poor comprehenders

The Simple View has been influential in highlighting the existence of the poor comprehender profile, and the need to identify advisable approaches to assessment and intervention. It is clear that the power to read words accurately and fluently—while disquisitional for adequate comprehension—is no guarantee that adequate reading comprehension volition follow. In turn, this means that a thorough cess of reading should too include a measure of text comprehension. This is not, yet, a straightforward matter. Reading comprehension tests vary. Some are heavily dependent on a kid'south word reading; others are so dependent on background knowledge that the questions can be answered quite well without actually reading the passage (Keenan & Meenan, 2014). The same test can too tap different component skills, depending on the performance level achieved past a kid (Hua & Keenan, 2017). Knowledge effects are impossible to avert—comprehension is a reflection of our noesis and for all of us, reading comprehension is more than difficult when topic knowledge is low. The message hither is that nosotros demand to be mindful of the nature of the exam being used, and capeesh that test performance depends not only on the child's knowledge and abilities, but as well the features of the text (a point that holds for all children, not just poor comprehenders). The poor comprehender literature besides has implications for the demand to assess children's oral language (across phonological skills) as role of any thorough assessment of reading.

I approach to intervention is to address a particular component of reading comprehension, for example, vocabulary, inference making, or comprehension monitoring. Such intervention studies have generally been with poor decoders, or children who observe both word reading and comprehension difficult, rather than with poor comprehenders specifically. While gains are fabricated on what has been taught, transfer furnishings to non-trained components or on standardised measures of reading comprehension are minor (Elleman, 2017; Elleman, Lindo, Morphy, & Compton, 2009). This is maybe non surprising, given the complex nature of reading comprehension, and its dependence on strong content knowledge. That said, there are excellent examples of promising approaches to teaching reading comprehension (for review, see Oakhill, Cain, & Elbro, 2014) that could be adult and trialled for children identified as poor comprehenders.

A dissimilar approach is to consider the fundamental function of oral language (or linguistic comprehension, in terms of the Simple View) in reading comprehension and aim intensive intervention at that place. Working from the finding that poor comprehenders take impairments in linguistic comprehension, Clarke, Snowling, Truelove, and Hulme (2010) developed a linguistic communication intervention that straight and explicitly worked on viii–9 yr-olds' oral language with directly education tapping vocabulary, grammer and narrative. Using a randomised controlled design, they compared this 20-calendar week intervention with one focussing on text comprehension itself, and a combined approach targeting both oral language and text comprehension. Intervention was delivered in small groups by trained teaching assistants, with 3 30-infinitesimal sessions per week. Pleasingly, all three groups improved in reading comprehension relative to a waiting list control group. Those receiving oral linguistic communication training showed most improvement in reading comprehension xi months later, and improvements in reading comprehension were predicted past improvements in vocabulary. Fricke et al. (2013) used a similar arroyo but with materials designed for much younger children. They identified children with low linguistic communication at around the time of school entry. Those who received an intensive language intervention showed improvements in oral language, and got off to a amend start with reading comprehension than children in the control group. These findings are encouraging, and support the rationale for improving children'southward oral language equally the basis for bringing almost improvements in reading comprehension. Note notwithstanding these interventions are intensive, and are designed to exist delivered by teaching assistants who have been specifically trained—quick fixes are not to be expected.

Role Iv: reflections on the Simple View

In the 30-plus years since the Simple View was first articulated by Gough and Tunmer (1986), its elegance and strength in describing the essence of reading comprehension has become clear. By setting out decoding and linguistic comprehension every bit divide but interacting components, it reminds united states that reading comprehension requires both the power to identify individual words, and the ability to construct meaning from text. When assessed reliably using comprehensive measures, how expert children are at decoding and linguistic comprehension predicts how adept they are at reading comprehension extraordinarily well. The Elementary View provides a framework for classifying reading difficulties, and it has done much to promote our understanding of the human relationship between oral communication and reading development. It is non just children with "classic dyslexia" who need actress support in the classroom: research conducted within the Unproblematic View framework has shown that a large proportion of children with depression word reading too evidence poor oral linguistic communication, every bit do children with reading comprehension impairments. These research findings take important implications for assessment and intervention and information technology is a positive development to see materials written for practitioners framed inside the Elementary View (e.g. Stuart & Stainthorp, 2015).

Despite these strengths, the Simple View has led to some imitation impressions. As noted earlier, the Simple View "does non deny the complexity of reading, but asserts that such complexities are restricted to either of the 2 components", linguistic comprehension and decoding (Hoover & Gough, 1990, p. 150). Still, Catts (2018) discusses how visualisations of the Simple View—diagrams like Figure one, with the two components appearing to exist the same size—have inadvertently camouflaged the complexity of reading comprehension and in doing, created fake impressions about its malleability, and the extent to which it can be captured past a score on an omnibus test. These concerns intersect with some of our before give-and-take—that the Simple View is not a model of what needs to develop to bring near change in either of the 2 components. In terms of partitioning and explaining variance, it is clear that the relative weighting of the two constructs changes over time, with linguistic comprehension condign more closely associated with reading comprehension as decoding skills strengthen (due east.g., Language and Reading Research Consortium, 2015). Early on, the decoding component predominates, but beyond the early on stages of learning to read, the linguistic comprehension oval in diagrams like Effigy one needs to be much bigger, and have more indicators feeding into it, reflecting its multifaceted nature.

Some other false impression is that the two components are entirely separable. A good deal of variation in reading comprehension is shared between the ii components. Lonigan et al. (2018) suggested that this common variance might be related to some underlying general cognitive linguistic power, and in their analyses, shared variance predicted differences in reading comprehension across the unique variance associated with each component. Consistent with this, longitudinal information have shown that some factors predict multiple components of reading. Equally noted earlier for example, Hulme et al. (2015) institute that language skills at 3.v years contributed to decoding at 5.five years likewise as reading comprehension at eight.five years. Similarly, there is no doubt that oral vocabulary is a vital component of linguistic comprehension, nor that it is closely associated with reading comprehension. This does not mean information technology is irrelevant for word reading. On the reverse, vocabulary is also associated with discussion reading, both in typical evolution and singular evolution (e.1000., Nation & Snowling, 1998; Taylor, Duff, Woollams, Monaghan, & Ricketts, 2015). Consider too the importance of morphology. Numerous studies accept institute associations between children'south reading comprehension and their knowledge and appreciation of morphology (eastward.g., Levesque, Kieffer, & Deacon, 2019; Tong, Deacon, Kirby, Cain, & Parrila, 2011), consistent with morphology being a critical component of linguistic comprehension. At the same fourth dimension, however, skilled word recognition is highly sensitive to morphological regularities that are marked in the orthography, reminding united states of america that English is a morphophonemic in nature (Rastle, 2019; Venezky, 1999). As reading develops, the word recognition system comes to embody this construction and this is reflected in how single words are read and candy (e.g., Dawson, Rastle, & Ricketts, 2018; Kearns & Al Ghanem, in press). Thus, morphological noesis is not simply part of linguistic comprehension. It is as well core to word recognition and its development—that is, what is captured inside the Simple View as "decoding".

What are the implications of these findings for the Uncomplicated View? To accept evolution on board, it might be that our visual representation needs to be more than complex, with some underlying linguistic communication factor feeding into both components, and/or bi-directional connections between decoding and linguistic comprehension, equally shown in Figure 7.

Figure vii. An expanded view of the Simple View of reading.

This effigy likewise shows feedback arrows from reading comprehension into linguistic communication. This is to remind the states of the importance of reading experience. It is the substrate from which bones decoding skills develop and automatise (see Castles et al., 2018). It also provides rich and varied opportunities for language learning, equally children encounter new vocabulary and new syntactic structures via reading (Montag & MacDonald, 2015; Montag, Jones, & Smith, 2015). The implication of this for children with reading difficulties is neatly captured by Stanovich's (1986) description of the Matthew result—the richer become richer and the poor become poorer. Depression levels of spoken language set the scene for reading difficulties, which in turn atomic number 82 to greater differences in spoken language, relative to peers who read well. Or, in the words of Snow (2016), "linguistic communication is literacy is language".

The Unproblematic View provides a useful framework for thinking about reading comprehension and its evolution. Information technology positions decoding equally cardinal to learning to read and reminds us that no amount of oral language prowess can bring about successful reading, if a child has not learned the principles of how their writing system works. This is what learning to read is about, and what needs to be taught at the offset. Getting better at reading words, and developing all that is needed to serve reading comprehension in all its infinite varieties, obviously demands more than decent decoding: the knowledge and processing skills nested inside linguistic comprehension are cardinal. There is no doubt that the Unproblematic View explains variance in reading comprehension. But we too need to expect beyond the Elementary View, if we are to understand more than most how subcomponent processes work and develop, and how they can be optimised in the classroom and the clinic by well-designed reading and language instruction.

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Source: https://www.tandfonline.com/doi/full/10.1080/19404158.2019.1609272

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