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Direct linkHammerschmidt-Snidarich, Stephanie M.; Wagner, Dana; Parker, David C.; Wagner, Kyle – Assessment for Effective Intervention, 2021
This study examined reading tutors' interpretation of reading progress-monitoring graphs. A think-aloud procedure was used to evaluate tutors at two points in time, before and after a year of service as an AmeriCorps reading tutor. During their service, the reading tutors received extensive training and ongoing coaching. Descriptive results showed…
Descriptors: Reading Instruction, Tutors, Progress Monitoring, Graphs
Parker, David C.; Van Norman, Ethan; Nelson, Peter M. – Learning Disabilities Research & Practice, 2018
The accuracy of decision rules for progress monitoring data is influenced by multiple factors. This study examined the accuracy of decision rule recommendations with over 4,500 second-and third-grade students receiving a tier II reading intervention program. The sensitivity and specificity of three decision rule recommendations for predicting…
Descriptors: Progress Monitoring, Accuracy, Grade 2, Grade 3
Van Norman, Ethan R.; Parker, David C. – Assessment for Effective Intervention, 2018
Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student's level of initial performance when…
Descriptors: Comparative Analysis, Curriculum Based Assessment, Reading Tests, Progress Monitoring
Van Norman, Ethan R.; Parker, David C. – Journal of Psychoeducational Assessment, 2018
One consideration for selecting progress monitoring tools is the reliability in which the instrument measures student response to instruction. Researchers and vendors establish reliability of growth using two analytic methods: (a) calculating slopes to even and odd observations for each student and correlating the resulting slopes (split-half),…
Descriptors: Curriculum Based Assessment, Hierarchical Linear Modeling, Reliability, Progress Monitoring
Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Review, 2018
School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…
Descriptors: Curriculum Based Assessment, School Psychologists, Decision Making, Accuracy
Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Quarterly, 2018
Student response to instruction is a key piece of information that school psychologists use to make instructional decisions. Curriculum-based measures (CBMs) are the most commonly used and researched family of academic progress-monitoring assessments. There are a variety of reading CBMs that differ in the type and specificity of skills they…
Descriptors: Phonics, Curriculum Based Assessment, Reading Tests, Reading Fluency
Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Quarterly, 2017
Computer adaptive tests (CATs) hold promise to monitor student progress within multitiered systems of support. However, the relationship between how long and how often data are collected and the technical adequacy of growth estimates from CATs has not been explored. Given CAT administration times, it is important to identify optimal data…
Descriptors: Computer Assisted Testing, Progress Monitoring, Grade 4, Grade 5
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Van Norman, Ethan R.; Parker, David C. – Learning Disabilities Research & Practice, 2016
Educators use curriculum-based measurement of oral reading (CBM-R) to measure student response to instruction. Current decision-making frameworks assume students demonstrate linear growth across a school year. However, growth appears nonlinear for at least a subgroup of students. We assessed the degree to which grade two (n = 800) and grade three…
Descriptors: Curriculum Based Assessment, Oral Reading, Progress Monitoring, Grade 2
