Technical Reports

Error Analysis in Mathematics (Technical Report No. 1012)

Lai, C. F. (2010). Error analysis in Mathematics (Technical Report No. 1012). Eugene, OR: Behavioral Research and Teaching, University of Oregon. Error analysis is a method commonly used to identify the cause of studenterrorswhen they make consistent mistakes. It is a process of reviewing a student’s work and then looking for patterns of misunderstanding. Errors in mathematics can be factual, procedural, or conceptual, and may occur for a number of reasons.      TechRpt_1012

Internal Consistency of the easyCBM Vocabulary Measures Grades 2-8 (Technical Report No. 1406)

Wray, K. A., Alonzo, J., Tindal, G. (2014). Internal consistency of the easyCBM vocabulary measures grades 2-8 (Technical Report No. 1406). Eugene, OR: Behavioral Research and Teaching, University of Oregon. This technical report documents findings from a study of the internal consistency and split‐half reliability of the easyCBM© Vocabulary measures, grades 2-8.     TechRpt_1406

An Examination of the Internal Structures of the Gr. K-5 easyCBM CCSS Reading Measures: A Construct Validity Study (Technical Report No. 1305)

Alonzo, J., Park, B. J., Tindal, G. (2013). An examination of the internal structures of the gr. K-5 easyCBM CCSS reading measures: A construct validity study (Technical Report No. 1305). Eugene, OR: Behavioral Research and Teaching, University of Oregon. This technical report presents the results of a construct validity study in which we used confirmatory factor analysis to study the ways in which the different easyCBM® reading measures relate to one another. These assessments, which include item prompts based on…
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Basic Concepts of Structural Equation Modeling (Technical Report No. 1306)

Anderson, D., Patarapichayatham, C., Nese, J. F. T. (2013). Basic concepts of structural equation modeling (Technical Report No. 1306). Eugene, OR: Behavioral Research and Teaching, University of Oregon. In this paper we introduce the basic concepts of structural equation modeling (SEM) for consumers of research. The purpose is to help provide readers a basis from which articles employing SEM can evaluated; but not necessarily to teach readers how to conduct an analysis.     TechRpt_1306

Learning Progressions: Tools for Assessment and Instruction for All Learners (Technical Report No. 1307)

Sáez. L., Lai, C. F., Tindal, G. (2013). Learning progressions: Tools for assessment and instruction for all learners (Technical Report No. 1307). Eugene, OR: Behavioral Research and Teaching, University of Oregon. Conceptually, learning progressions hold promise for improving assessment and instruction by precisely outlining what students know and don’t know at particular stages of knowledge and skill development. Based upon a synthesis of the literature, a rationale for the use of learning progressions maps to clarify how learning progresses in English…
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Hierarchical Linear Modeling (HLM): An Introduction to Key Concepts within Cross-Sectional and Growth Modeling Frameworks (Technical Report No. 1308)

Anderson, D. (2013). Hierarchical Linear Modeling (HLM): An introduction to key concepts within cross-sectional and growth modeling frameworks (Technical Report No. 1308). Eugene, OR: Behavioral Research and Teaching, University of Oregon. This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLMis tremendously flexible, allowing researchers to specify relations across multiple “levels” of the educational system (e.g., students, classrooms, schools, etc.).  TechRpt_1308

easyCBM Reading Criterion Related Validity Evidence: Grades K-1 (Technical Report No. 1309)

Lai, C. F., Alonzo, J., Tindal, G. (2013). easyCBM reading criterion related validity evidence: Grades K-1 (Technical Report No. 1309). Eugene, OR: Behavioral Research and Teaching, University of Oregon. In this technical report, we present the results of a study to gather criterion-related evidence for Grade K-1 easyCBM® reading measures. We used correlations to examine the relation between the easyCBM® measures and other published measures with known reliability and validity evidence.   TechRpt_1309

easyCBM Reading Criterion Related Validity Evidence: Grades 2-5 (Technical Report No. 1310)

Lai, C. F., Alonzo, J., Tindal, G. (2013). easyCBM reading criterion related validity evidence: Grades 2-5 (Technical Report No. 1310). Eugene, OR: Behavioral Research and Teaching, University of Oregon. In this technical report, we present the results of a study to gather criterion-related evidence for Grade 2-5 easyCBM® reading measures. We used correlations to examine the relation between the easyCBM® measures and other published measures with known reliability and validity evidence, including the Gates-MacGinitie Reading Tests and the Dynamic Indicators of…
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An Exploration of Differential Item Functioning With the easyCBM Middle School Mathematics Tests: Grades 6-8 (Technical Report No. 1501)

Anderson, D., Park, S., Alonzo, J., Tindal, G. (2015).   An exploration of differential item functioning with the easyCBM middle school mathematics tests: grades 6-8 (Technical Report No. 1501). Eugene, OR: Behavioral Research and Teaching, University of Oregon. The purpose of this technical report is to summarize the results of an investigation into the differential item functioning (DIF) of the easyCBM(R) middle school mathematics items, Grades 6-8, designed to measure the Common Core State Standards.     TechRpt_1501