{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/1841"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/1841","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"Processing Speed in Children: Examination of the Structure in Middle Childhood and its Impact on Reading","abstract":"The primary aim of this study was to examine the structure of processing speed (PS) in middle childhood by comparing five theoretically driven models of PS. The models consisted of two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output modality model, and a timing modality model). A second aim was to evaluate the utility of these models for key reading skills (single word reading, fluency, and comprehension) relevant to this age group. Participants consisted of 844 children enrolled in urban public elementary schools. Average participant age was 9.92 (SD = 0.89) and students were enrolled in 3rd (n = 186), 4th (n = 482) and 5th (n = 176) grade. Sixteen variables from 12 tasks differing in their demand characteristics captured PS. Confirmatory factor analyses and regression equations evaluated hypotheses. A two-factor Timing model (Latency and Efficiency) was the strongest fit to the data and similarly structured two-factor Complexity model (Simple and Complex) was also a good fit to the data. Both models were examined as predictors of reading skills. Only the Efficiency/Complex factors were predictive of each key reading skill when considered alone and with relevant language and demographic variables, with the exception of single word reading, where both PS latent factors were predictive in the context of covariates. The structure of PS in middle childhood was found to form a two-factor structure, and separation was apparent between a simpler and more complex level of timed processing. Additionally, PS appears to be contributory to the prediction of word single word reading, reading fluency, and reading comprehension in the context of highly relevant predictors.","abstract_html":"The primary aim of this study was to examine the structure of processing speed (PS) in middle childhood by comparing five theoretically driven models of PS. The models consisted of two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output modality model, and a timing modality model). A second aim was to evaluate the utility of these models for key reading skills (single word reading, fluency, and comprehension) relevant to this age group. Participants consisted of 844 children enrolled in urban public elementary schools. Average participant age was 9.92 (SD = 0.89) and students were enrolled in 3rd (n = 186), 4th (n = 482) and 5th (n = 176) grade. Sixteen variables from 12 tasks differing in their demand characteristics captured PS. Confirmatory factor analyses and regression equations evaluated hypotheses. A two-factor Timing model (Latency and Efficiency) was the strongest fit to the data and similarly structured two-factor Complexity model (Simple and Complex) was also a good fit to the data. Both models were examined as predictors of reading skills. Only the Efficiency/Complex factors were predictive of each key reading skill when considered alone and with relevant language and demographic variables, with the exception of single word reading, where both PS latent factors were predictive in the context of covariates. The structure of PS in middle childhood was found to form a two-factor structure, and separation was apparent between a simpler and more complex level of timed processing. Additionally, PS appears to be contributory to the prediction of word single word reading, reading fluency, and reading comprehension in the context of highly relevant predictors.","abstract_has_math":false,"creators":["Gerst, Elyssa Hope"],"institution":"University of Houston","degree_name":"Doctor of Philosophy","degree_level":"Doctoral","degree_discipline":"Psychology, Clinical","degree_department":null,"school":null,"contributors":[],"advisors":["Cirino, Paul T."],"committee_chairs":[],"committee_members":["Gibbs, M. Cullen","Miciak, Jeremy","Woods, Steven P.","Yoshida, Hanako"],"year":2017,"date_issued":"2017-05","date_published":"2017-05","updated_at":"2026-07-24T02:32:44Z","subjects":["Processing Speed","Reading"],"languages":["eng"],"rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10657/1841","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Cirino, Paul T."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Gibbs, M. 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A second aim was to evaluate the utility of these models for key reading skills (single word reading, fluency, and comprehension) relevant to this age group. Participants consisted of 844 children enrolled in urban public elementary schools. Average participant age was 9.92 (SD = 0.89) and students were enrolled in 3rd (n = 186), 4th (n = 482) and 5th (n = 176) grade. Sixteen variables from 12 tasks differing in their demand characteristics captured PS. Confirmatory factor analyses and regression equations evaluated hypotheses. A two-factor Timing model (Latency and Efficiency) was the strongest fit to the data and similarly structured two-factor Complexity model (Simple and Complex) was also a good fit to the data. Both models were examined as predictors of reading skills. Only the Efficiency/Complex factors were predictive of each key reading skill when considered alone and with relevant language and demographic variables, with the exception of single word reading, where both PS latent factors were predictive in the context of covariates. The structure of PS in middle childhood was found to form a two-factor structure, and separation was apparent between a simpler and more complex level of timed processing. Additionally, PS appears to be contributory to the prediction of word single word reading, reading fluency, and reading comprehension in the context of highly relevant predictors."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Processing Speed in Children: Examination of the Structure in Middle Childhood and its Impact on Reading"]}]}],"canonical_facts":{"dc:contributor.advisor":["Cirino, Paul T."],"dc:contributor.committeemember":["Gibbs, M. Cullen","Miciak, Jeremy","Woods, Steven P.","Yoshida, Hanako"],"dc:creator":["Gerst, Elyssa Hope"],"dc:date.accessioned":["2017-06-30T20:10:40Z"],"dc:date.available":["2017-06-30T20:10:40Z"],"dc:date.issued":["2017-05"],"dc:description.abstract":["The primary aim of this study was to examine the structure of processing speed (PS) in middle childhood by comparing five theoretically driven models of PS. The models consisted of two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output modality model, and a timing modality model). A second aim was to evaluate the utility of these models for key reading skills (single word reading, fluency, and comprehension) relevant to this age group. Participants consisted of 844 children enrolled in urban public elementary schools. Average participant age was 9.92 (SD = 0.89) and students were enrolled in 3rd (n = 186), 4th (n = 482) and 5th (n = 176) grade. Sixteen variables from 12 tasks differing in their demand characteristics captured PS. Confirmatory factor analyses and regression equations evaluated hypotheses. A two-factor Timing model (Latency and Efficiency) was the strongest fit to the data and similarly structured two-factor Complexity model (Simple and Complex) was also a good fit to the data. Both models were examined as predictors of reading skills. Only the Efficiency/Complex factors were predictive of each key reading skill when considered alone and with relevant language and demographic variables, with the exception of single word reading, where both PS latent factors were predictive in the context of covariates. The structure of PS in middle childhood was found to form a two-factor structure, and separation was apparent between a simpler and more complex level of timed processing. 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