In this study, confirmatory factor analyses were used to examine the interrelationships among latent factors of the Simple View of reading comprehension (word recognition and language comprehension) and hypothesized additional factors (vocabulary and reading fluency) in a sample of 476 adult learners with low literacy levels. The results provided evidence for reliable distinctions between word recognition, fluency, language comprehension, and vocabulary skills as components of reading. Even so, the data did not support the hypothesis that the Simple View needs to be expanded to include vocabulary or fluency factors, as has been posited in a few prior studies of younger and more able readers. Rather, word recognition and language comprehension alone were found to account adequately for variation in reading comprehension in adults with low literacy.

We report results of 2 studies examining the relation between decoding and reading comprehension. Based on our analysis of prominent reading theories such as the Simple View of Reading (Gough & Tunmer, 1986), the Lexical Quality Hypothesis (Perfetti & Hart, 2002) and the Self-Teaching Hypothesis (Share, 1995), we propose the Decoding Threshold Hypothesis, which posits that the relation between decoding and reading comprehension can only be reliably observed above a certain decoding threshold. In Study 1, the Decoding Threshold Hypothesis was tested in a sample of over 10,000 Grade 5–10 students. Using quantile regression, classification analysis (Receiver Operating Characteristics) and broken-line regression, we found a reliable decoding threshold value below that there was no relation between decoding and reading comprehension, and above which the two measures showed a positive linear relation. Study 2 is a longitudinal analysis of over 30,000 students’ reading comprehension growth as a function of their initial decoding status. Results showed that scoring below the decoding threshold was associated with stagnant growth in reading comprehension. We argue that the Decoding Threshold Hypothesis has the potential to explain differences in the prominent reading theories in terms of the role of decoding in reading comprehension in students at Grade 5 and above. Furthermore, the identification of decoding threshold also has implications for reading practice.

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To further explore contextual reading rate, an important aspect of reading fluency, we examined the relationship between word reading efficiency (WRE) and contextual oral reading rate (ORR), the degree to which they overlap across different comprehension measures, whether oral language (semantics and syntax) predicts ORR beyond contributions of word-level skills, and whether the WRE–ORR relationship varies based on different reader profiles. Assessing reading and language of average readers, poor decoders, and poor comprehenders, ages 10 to 14, ORR was the strongest predictor of comprehension across various formats; WRE contributed no unique variance after taking ORR into account. Findings indicated that semantics, not syntax, contributed to ORR. Poor comprehenders performed below average on measures of ORR, despite average WRE, expanding previous findings suggesting specific weaknesses in ORR for this group. Together, findings suggest that ORR draws upon skills beyond those captured by WRE and suggests a role for oral language (semantics) in ORR.

Have you ever found it difficult to read something because you lack knowledge on the topic? We investigated this phenomenon with a sample of 3,534 high school students who took a background-knowledge test before working on a reading-comprehension test on the topic of ecology. Broken-line regression revealed a knowledge threshold: Below the threshold, the relationship between comprehension and knowledge was weak (β = 0.18), but above the threshold, a strong and positive relation emerged (β = 0.81). Further analyses indicated that certain topically relevant words (e.g., ecosystem, habitat) were more important to know than others when predicting the threshold, and these keywords could be identified using natural-language-processing techniques. Collectively, these results may help identify who is likely to have a problem comprehending information on a specific topic and, to some extent, what knowledge is likely required to comprehend information on that topic.