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Nese, Joseph F. T.; Alonzo, Julie; Kamata, Akihito – Grantee Submission, 2016
The purpose of this study was to compare traditional oral reading fluency (ORF) measures to a computerized oral reading evaluation (CORE) system that uses speech recognition software. We applied a mixed model approach with two within-subject variables to test the mean WCPM score differences and the error rates between: passage length (25, 50, 85,…
Descriptors: Text Structure, Oral Reading, Reading Fluency, Reading Tests
Nese, Joseph F. T.; Kamata, Akihito; Alonzo, Julie – Grantee Submission, 2015
Assessing reading fluency is critical because it functions as an indicator of comprehension and overall reading achievement. Although theory and research demonstrate the importance of ORF proficiency, traditional ORF assessment practices are lacking as sensitive measures of progress for educators to make instructional decisions. The purpose of…
Descriptors: Oral Reading, Reading Fluency, Accuracy, Reading Rate
Kahn, Josh; Nese, Joseph T.; Alonzo, Julie – Behavioral Research and Teaching, 2016
There is strong theoretical support for oral reading fluency (ORF) as an essential building block of reading proficiency. The current and standard ORF assessment procedure requires that students read aloud a grade-level passage (˜ 250 words) in a one-to-one administration, with the number of words read correctly in 60 seconds constituting their…
Descriptors: Teacher Surveys, Oral Reading, Reading Tests, Computer Assisted Testing
Tindal, Gerald; Nese, Joseph F. T.; Stevens, Joseph J.; Alonzo, Julie – Remedial and Special Education, 2016
For 30 years, researchers have investigated oral reading fluency as a measure of growth in reading proficiency. Yet, little research has been done with these measures in the context of progress monitoring in Tier 2 systems. First, we document teachers' progress-monitoring decisions on type of passage (on-grade or off-grade) and how often to…
Descriptors: Reading Fluency, Oral Reading, Reading Skills, Measures (Individuals)
Baker, Doris Luft; Biancarosa, Gina; Park, Bitnara Jasmine; Bousselot, Tracy; Smith, Jean-Louise; Baker, Scott K.; Kame'enui, Edward J.; Alonzo, Julie; Tindal, Gerald – Reading and Writing: An Interdisciplinary Journal, 2015
We examined the criterion validity and diagnostic efficiency of oral reading fluency (ORF), word reading accuracy, and reading comprehension (RC) for students in Grades 7 and 8 taking into account form effects of ORF, time of assessment, and individual differences, including student designations of limited English proficiency and special education…
Descriptors: Oral Reading, Reading Fluency, Reading Comprehension, Reading Tests
Nese, Joseph F. T.; Biancarosa, Gina; Anderson, Daniel; Lai, Cheng-Fei; Alonzo, Julie; Tindal, Gerald – Reading and Writing: An Interdisciplinary Journal, 2012
This study examined the type of growth model that best fit within-year growth in oral reading fluency and between-student differences in growth. Participants were 2,465 students in grades 3-5. Hierarchical linear modeling (HLM) analyses modeled curriculum-based measurement (CBM) oral reading fluency benchmark measures in fall, winter, and spring…
Descriptors: Curriculum Based Assessment, Reading Fluency, Grade 3, Student Characteristics
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Reading Tests, Curriculum Based Assessment, Student Evaluation, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Curriculum Based Assessment, Reading Tests, Predictive Validity, Formative Evaluation