Extending the Simple View of Reading to Account for Variation Within Readers and Across Texts: The Complete View of Reading (CVRi)

This study leverages advances in multivariate cross-classified random effects models to extend the Simple View of Reading to account for variation within readers and across texts, allowing for both the personalization of the reading function and the integration of the component skills and text and discourse frameworks for reading research. We illustrate the Complete View of Reading (CVRi) using data from an intensive longitudinal design study with a large sample of typical (N = 648) and struggling readers (N = 865) in middle school and using oral reading fluency as a proxy for comprehension. To illustrate the utility of the CVRi, we present a model with cross-classified random intercepts for students and passages and random slopes for growth, Lexile difficulty, and expository text type at the student level. We highlight differences between typical and struggling readers and differences across students in different grades. The model illustrates that readers develop differently and approach the reading task differently, showing differential impact of text features on their fluency. To be complete, a model of reading must be able to reflect this heterogeneity at the person and passage level, and the CVRi is a step in that direction. Implications for reading interventions and 21st century reading research in the era of “Big Data” and interest in phenotypic characterization are discussed.

[1]  David A. Balota,et al.  Individual differences in the joint effects of semantic priming and word frequency revealed by RT distributional analyses: The role of lexical integrity , 2009 .

[2]  John O. Willis,et al.  Test of Silent Word Reading Fluency , 2014 .

[3]  Amy E Barth,et al.  The Effects of Student and Text Characteristics on the Oral Reading Fluency of Middle-Grade Students. , 2014, Journal of educational psychology.

[4]  Philip B. Gough,et al.  Some Observations on a Simple View of Reacting , 2013 .

[5]  Paulina A. Kulesz,et al.  Validation of the direct and inferential mediation (DIME) model of reading comprehension in grades 7 through 12 , 2016 .

[6]  D. Reutzel,et al.  Effects of Expository Text Structure Interventions on Comprehension: A Meta‐Analysis , 2017 .

[7]  D. McNamara Reading both high-coherence and low-coherence texts: effects of text sequence and prior knowledge. , 2001, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[8]  Kate Cain,et al.  The Precursors of Reading Ability in Young Readers: Evidence From a Four-Year Longitudinal Study , 2012 .

[9]  Bonnie J. F. Meyer,et al.  Structure Strategy Interventions: Increasing Reading Comprehension of Expository Text. , 2011 .

[10]  Joseph K. Torgesen,et al.  Development of Reading-Related Phonological Processing Abilities: New Evidence of Bidirectional Causality from a Latent Variable Longitudinal Study. , 1994 .

[11]  Paul van den Broek,et al.  Understanding the glue of narrative structure: Children's on- and off-line inferences about characters’ goals , 2007 .

[12]  L. Verhoeven,et al.  Prediction of the development of reading comprehension: A longitudinal study. , 2008 .

[13]  Alysia D. Roehrig,et al.  Accuracy of the DIBELS oral reading fluency measure for predicting third grade reading comprehension outcomes. , 2008, Journal of school psychology.

[14]  Philip B. Gough,et al.  Decoding, Reading, and Reading Disability , 1986 .

[15]  Lee Branum-Martin,et al.  Literacy as a Unidimensional Multilevel Construct: Validation, Sources of Influence, and Implications in a Longitudinal Study in Grades 1 to 4 , 2005 .

[16]  Jack M. Fletcher,et al.  Kindergarten Prediction of Reading Skills: A Longitudinal Comparative Analysis , 2004 .

[17]  Arthur C. Graesser,et al.  Coh-Metrix: Analysis of text on cohesion and language , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[18]  J. Oakhill,et al.  Children's Reading Comprehension Ability: Concurrent Prediction by Working Memory, Verbal Ability, and Component Skills. , 2004 .

[19]  Hugh W. Catts,et al.  The Connections between Language and Reading Disabilities , 2005 .

[20]  Margaret J. Snowling,et al.  Beyond phonological skills: broader language skills contribute to the development of reading , 2004 .

[21]  Kate Cain,et al.  Decoding and Reading Comprehension , 2014 .

[22]  W. Warde,et al.  THE COMPONENT MODEL OF READING: SIMPLE VIEW OF READING MADE A LITTLE MORE COMPLEX , 2000 .

[23]  E. Baker,et al.  Early Identification of Reading Difficulties Using Heterogeneous Developmental Trajectories , 2008 .

[24]  Hugh W. Catts,et al.  Developmental Changes in Reading and Reading Disabilities , 2005 .

[25]  S. Vaughn,et al.  A Meta-Analysis of Interventions for Struggling Readers in Grades 4–12 , 2015, Journal of learning disabilities.

[26]  Frank R. Vellutino,et al.  Components of Reading Ability: Multivariate Evidence for a Convergent Skills Model of Reading Development , 2007 .

[27]  M. McDaniel,et al.  Learning Styles , 2008, Psychological science in the public interest : a journal of the American Psychological Society.

[28]  Michael C. Pyryt Human cognitive abilities: A survey of factor analytic studies , 1998 .

[29]  A. Graesser,et al.  The impact of connectives on the memory for expository texts , 1993 .

[30]  Elizabeth L. Tighe,et al.  A dominance analysis approach to determining predictor importance in third, seventh, and tenth grade reading comprehension skills , 2014, Reading and writing.

[31]  Randy G. Floyd,et al.  Differential Competencies Contributing to Children's Comprehension of Narrative and Expository Texts , 2008 .

[32]  Arthur C. Graesser,et al.  Coh-Metrix , 2011 .

[33]  L. Cronbach,et al.  Aptitudes and instructional methods: A handbook for research on interactions , 1977 .

[34]  Roland H. Good,et al.  Story retell: A fluency-based indicator of reading comprehension , 2005 .

[35]  G. Whitehurst,et al.  Oral language and code-related precursors to reading: evidence from a longitudinal structural model. , 2002, Developmental psychology.

[36]  W. Kintsch,et al.  Are Good Texts Always Better? Interactions of Text Coherence, Background Knowledge, and Levels of Understanding in Learning From Text , 1996 .

[37]  M. Daneman,et al.  Age-Related Changes in Reading Comprehension: An Individual-Differences Perspective , 2009, Experimental aging research.

[38]  L. Cronbach The two disciplines of scientific psychology. , 1957 .

[39]  P. van den Broek,et al.  Children's and adults' memory for television stories: the role of causal factors, story-grammar categories, and hierarchical level. , 1996, Child development.

[40]  Julia S. Benoit,et al.  Issues in Research Methodology on Educator Stress , 2017 .

[41]  Deborah C. Simmons,et al.  The Importance and Decision-Making Utility of a Continuum of Fluency-Based Indicators of Foundational Reading Skills for Third-Grade High-Stakes Outcomes , 2001 .

[42]  Danielle S. McNamara,et al.  Prior knowledge, reading skill, and text cohesion in the comprehension of science texts , 2009 .

[43]  Charles A. Perfetti,et al.  One Reading Comprehension : A Conceptual Framework from Word Meaning to Text Meaning , 2012 .

[44]  Jack M. Fletcher,et al.  Dimensions Affecting the Assessment of Reading Comprehension , 2005 .

[45]  J. Oakhill,et al.  Reading comprehension development from 8 to 14 years the contribution of component skills and processes , 2009 .

[46]  M. Barnes,et al.  The effects of knowledge availability and knowledge accessibility on coherence and elaborative inferencing in children from six to fifteen years of age. , 1996, Journal of experimental child psychology.

[47]  E. Macedo,et al.  Reading component skills in dyslexia: word recognition, comprehension and processing speed , 2014, Front. Psychol..

[48]  B. Muthén,et al.  Investigating population heterogeneity with factor mixture models. , 2005, Psychological methods.

[49]  Jane Oakhill,et al.  Reading comprehension difficulties:correlates, causes, and consequence , 2007 .

[50]  Danielle S. McNamara,et al.  Learning from texts: Effects of prior knowledge and text coherence , 1996 .

[51]  Arthur C. Graesser,et al.  Computational Analyses of Multilevel Discourse Comprehension , 2011, Top. Cogn. Sci..

[52]  Charles A. Perfetti,et al.  Word Knowledge in a Theory of Reading Comprehension , 2014 .

[53]  Rossella Beltrame,et al.  Children’s comprehension problems in oral and written language: a cognitive perspective , 2010 .

[54]  Paulina A. Kulesz,et al.  The influence of properties of the test and their interactions with reader characteristics on reading comprehension: an explanatory item response study , 2016 .