Examining the role of imageability and regularity in word reading accuracy and learning efficiency among first and second graders at risk for reading disabilities

Spelling-to-pronunciation transparency ratings for the 20,000 most frequently written English words

Given English orthography's quasi-regular nature, applying common decoding rules to a word does not always result in a correct pronunciation matching the stored phonological form (e.g., the word tongue). To arrive at a correct pronunciation, developing readers must make the match between a decoded pronunciation and a word's correct pronunciation stored in memory. Developmentally, this matching process varies as a function of child skill (e.g., decoding, vocabulary) and word characteristics (e.g., spelling-to-pronunciation transparency, concreteness), with each being continuously distributed. Spelling-to-pronunciation transparency ratings represent a global measure of the ease of arriving at a word's correct pronunciation from its decoded pronunciation and in experimental studies has been shown to be a critical dimension in assessing the difficulty of a word for developing readers (e.g., Steacy et al., 2022a, 2022b). This study aimed to create a database of spelling-to-pronunciation transparency ratings for the 23,282 most frequently written English words, made available in the supplemental materials for future analyses. We asked adults to rate words' spelling-to-pronunciation transparency on a scale of 1-6 (1 = very easy to match, 6 = very difficult). Results of multiple regression analyses revealed variance in ratings to be unaccounted for by other word features, demonstrating the uniqueness of these ratings. Furthermore, words that are considered irregular, classified previously as strange, or contained at least one schwa received higher ratings, demonstrating strong associations between transparency and regularity. Lastly, these ratings significantly predicted both adult word naming time and child word reading accuracy above and beyond other word features known to predict reading.

Clinical Considerations From Researcher-Created Morphological Awareness Assessments

PURPOSE

Morphological awareness develops throughout formal schooling and is positively related to later reading abilities. However, there are limited standardized measures available for speech-language pathologists (SLPs) to use when assessing morphological awareness in clinical practice. The purpose of this tutorial is to guide clinicians in choosing between researcher-created measures of morphological awareness to use with their school-aged students.

METHOD

We first summarize previous morphological awareness assessment research and outline important clinical considerations when choosing a morphological awareness assessment for students in early elementary grades and beyond. Second, we highlight item characteristics regarding morpheme type, frequency, shift transparency, and imageability for students in early elementary versus later grades. Third, we discuss the type of tasks (i.e., production, decomposition, and judgment) and administration modes (i.e., oral or written and static or dynamic) available to clinicians assessing the morphological awareness skills of school-aged students. Throughout the tutorial, we reference a hypothetical case study to illustrate how SLPs might apply these suggestions and link morphological awareness assessment to treatment recommendations.

CONCLUSIONS

This tutorial highlights the importance of including morphological awareness assessments in clinical practice to support oral and written language development. We provide practical guidelines to help SLPs evaluate and choose appropriate morphological awareness assessments for their school-aged students as part of their comprehensive language evaluations and to support intervention planning.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.24545470.

Set for Variability as a Critical Predictor of Word Reading: Potential Implications for Early Identification and Treatment of Dyslexia

Quasiregular orthographies such as English contain substantial ambiguities between orthography and phonology that force developing readers to acquire flexibility during decoding of unfamiliar words, a skill referred to as a "set for variability" (SfV). The ease with which a child can disambiguate the mismatch between the decoded form of a word and its actual lexical phonological form has been operationalized using the SfV mispronunciation task (e.g., the word wasp is pronounced to rhyme with clasp [i.e., /wæsp/] and the child must recognize the actual pronunciation of the word to be /wɒsp/). SfV has been shown to be a significant predictor of word reading variance. However, little is known about the relative strength of SfV as a predictor of word reading compared to other well-established predictors or the strength of this relationship in children with dyslexia. To address these questions, we administered the SfV task to a sample of grade 2-5 children (N=489) along with other reading related measures. SfV accounted for 15% unique variance in word reading above and beyond other predictors, whereas phonological awareness (PA) accounted for only 1%. Dominance analysis indicated SfV is the most powerful predictor, demonstrating complete statistical dominance over other variables including PA. Quantile regression revealed SfV is a stronger predictor at lower levels of reading skill, indicating it may be an important predictor in students with dyslexia. Results suggest that SfV is a powerful and potentially highly sensitive predictor of early reading difficulties and, therefore, may be important for early identification and treatment of dyslexia.

Factors Influencing the Accurate Identification of Written Minimal Pairs with Graphemic Similarity: Evidence from Persian-Speaking Children and Adults

In this study, we compared children's and adults' ability to accurately identify target words in written minimal pairs (WMPs) with graphemically similar letters while accounting for factors such as gender, similarity of the middle letter in WMPs, mono- versus dimorphemic WMPs, number of syllable, homography, and imageability. Fifty children and fifty adults were exposed to a distractor stimulus as a pre-mask, followed by the target, and then a post-mask stimulus. Subsequently, the corresponding WMPs including the target word and its graphemically minimal contrast were presented to the participants to obtain their reaction time (RT) in accurately identifying the target word. Results demonstrated that children tend to slow down their reaction as a compensatory strategy to circumvent their less mature knowledge of graphophonic units/morphemes to achieve accuracy during word recognition. In addition, among all controlled factors, children's RT was significantly influenced by similarity of the middle letter in the WMPs. Adults' RT, however, was influenced by factors such as gender, similarity of the middle letter in WMPs, and homography.

Modeling Complex Word Reading: Examining Influences at the Level of the Word and Child on Mono- and Polymorphemic Word Reading

Purpose

The probability of a child reading a word correctly is influenced by both child skills and properties of the word. The purpose of this study was to investigate child-level skills (set for variability and vocabulary), word-level properties (concreteness), word structure (mono- vs. polymorphemic), and interactions between these properties and word structure within a comprehensive item-level model of complex word reading. This study is unique in that it purposely sampled both mono- and polymorphemic polysyllabic words.

Method

A sample of African American (n = 69) and Hispanic (n =6) students in grades 2-5 (n =75) read a set of mono- and polymorphemic polysyllabic words (J=54). Item-level responses were modeled using cross-classified generalized random-effects models allowing variance to be partitioned between child and word while controlling for other important child factors and word features.

Results

Set for variability and the interaction between concreteness and word structure (i.e., mono- vs. polymorphemic) were significant predictors. Higher probabilities of reading poly- over monomorphemic words were identified at lower levels of concreteness with the opposite at higher levels of concreteness.

Conclusions

Results indicate important predictors at both the child- and word-level and support the importance of morphological structure for reading abstract polysyllabic words.

Predicting lexical complexity in English texts: the Complex 2.0 dataset

Identifying words which may cause difficulty for a reader is an essential step in most lexical text simplification systems prior to lexical substitution and can also be used for assessing the readability of a text. This task is commonly referred to as complex word identification (CWI) and is often modelled as a supervised classification problem. For training such systems, annotated datasets in which words and sometimes multi-word expressions are labelled regarding complexity are required. In this paper we analyze previous work carried out in this task and investigate the properties of CWI datasets for English. We develop a protocol for the annotation of lexical complexity and use this to annotate a new dataset, CompLex 2.0. We present experiments using both new and old datasets to investigate the nature of lexical complexity. We found that a Likert-scale annotation protocol provides an objective setting that is superior for identifying the complexity of words compared to a binary annotation protocol. We release a new dataset using our new protocol to promote the task of Lexical Complexity Prediction.

Features of Known and Unknown Words for First Graders of Different Proficiency Levels in Winter and Spring

This study describes the features of words known and unknown by first graders of different proficiency levels in six instances of an oral reading fluency assessment: three in winter and three in spring. A sample of 411 students was placed into four groups (very high, high, middle, and low) based on their median correct words per minute in spring. Each word in the assessment was coded on 11 features: numbers of phonemes, letters, syllables, blends, morphemes, percentages of multisyllabic and of morphologically complex words, concreteness, age of acquisition, decodability, and U function. Words were classified as known if more than 50% of the students within a group were able to correctly read those words. Features of known and unknown words were contrasted for all but the highest group, which made no errors, at each point in time. An analysis of the patterns of known words across groups from winter to spring shows that students followed a similar general progression in the number and type of words recognized. The most prominent feature of unknown words in winter and spring for the middle group of students was the presence of multiple syllables. The lowest-performing group of students continued to be limited by word length and frequency in their recognition of words, but on both features, their proficiency increased from winter to spring. The discussion addresses several critical issues, most notably the relationship of words in oral reading assessments to the word recognition curriculum of many beginning reading programs.

Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills

Statistical views of literacy development maintain that proficient reading requires the assimilation of myriad statistical regularities present in the writing system. Indeed, previous studies have tied statistical learning (SL) abilities to reading skills, establishing the existence of a link between the two. However, some issues are currently left unanswered, including questions regarding the underlying bases for these associations as well as the types of statistical regularities actually assimilated by developing readers. Here we present an alternative approach to study the role of SL in literacy development, focusing on individual differences among beginning readers. Instead of using an artificial task to estimate SL abilities, our approach identifies individual differences in children's reliance on statistical regularities as reflected by actual reading behavior. We specifically focus on individuals' reliance on regularities in the mapping between print and speech versus associations between print and meaning in a word naming task. We present data from 399 children, showing that those whose oral naming performance is impacted more by print-speech regularities and less by associations between print and meaning have better reading skills. These findings suggest that a key route by which SL mechanisms impact developing reading abilities is via their role in the assimilation of sub-lexical regularities between printed and spoken language -and more generally, in detecting regularities that are more reliable than others. We discuss the implications of our findings to both SL and reading theories.

Sight word acquisition in first grade students at risk for reading disabilities: an item-level exploration of the number of exposures required for mastery

The purpose of this study was to examine word learning efficiency in at-risk first grade students (N = 93) participating in a yearlong study evaluating a multicomponent intervention targeting word reading and decoding skills. As part of each intervention lesson, students participated in a 1 to 3-min sight word reading activity in which high-frequency words were read from a list until mastered, at which point the word dropped off the list. This study explored factors predicting the number of exposures required for item reading mastery (N = 145 words). Specifically, we explored how the number of word exposures required to reach mastery varied as a function of linguistic features of the words and cognitive characteristics of the students. Using item-level crossed-random effects models, we found students required an average of 5.65 exposures for mastery, with word features representing word length, vocabulary grade, and imageability being significant predictors of learning efficiency. We also found a significant interaction between pretest word reading skill and imageability of a word, with this semantic feature being especially important for the poorest readers. Results indicate that in the absence of typical word recognition skills, poor readers tend to rely on other sources of information to learn words, which tend to be related to the semantic features of words.