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The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified at 4 linguistic levels, and multiple computerized opera tionalizations were created for each of the 22 text characteristics. A researcher-devised text-complexity outcome measure was based on teacher judgment of text complexity in the 350 texts as well as on student judgment of text complexity as gauged by their responses in a maze task for a subset of the 350 texts. Analyses were conducted using a logical analytical progression typically used in machine-learning research. Random forest regression was the primary statistical modeling technique. Nine text character istics were most important for early-grades text complexity including word structure (decoding demand and number of syllables in words), word meaning (age of acquisition, abstractness, and word rareness), and sentence and discourse-level characteristics (intersentential complexity, phrase diversity, text density/information load, and noncompressibility). Notably, interplay among text characteristics was im portant to explanation of text complexity, particularly for subsets of texts.

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The purpose of the present study was to examine possible shifts in the presence of academic vocabulary across the past six decades for a continually best‐selling first‐grade core reading program. The authors examined seven program years dating from 1962 to 2013 and computationally determined four categories of academic vocabulary (science, mathematics, social studies, and general academic) in each program. The primary research question was, Did the volume of academic words in a program year rise with advancing years? A secondary supplementary question was, Did the propensity toward academic affinity of a program considered as a whole rise with advancing years? The authors employed two types of academic word measures: (1) A word was deemed to be academic or not, and if it was academic, it was assigned to one of the four academic categories, and then academic words were counted; and (2) a novel measure, academic affinity, was a continuous measure of the probability that a word was academic (in each of the four academic vocabulary categories). The authors conducted Poisson regression modeling and hierarchical generalized linear modeling. The main conclusions were that later first‐grade core reading program years included a moderately higher volume of science, social studies, and total academic words as compared with earlier years and that the science, social studies, and general academic affinity of the program as a whole was statistically higher in later years, but in practical terms, the change was not remarkable.