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Klingbeil, David A.; Osman, David J.; Carrigan, Jamison E.; Paly, Benjamin J.; Berry-Corie, Kimberly – School Psychology, 2021
Multiple popular math curriculum-based measures have recently been revised in ways that may improve their utility for universal screening. However, the applied use of these tools has yet to be evaluated independently. We conducted a retrospective analysis of the diagnostic accuracy of prior year statewide test results and aimswebPlus math…
Descriptors: Screening Tests, Elementary School Students, Middle School Students, Curriculum Based Assessment
Christina Weiland; Lillie Moffett; Paola Guerrero Rosada; Amanda Weissman; Kehui Zhang; Michelle Maier; Catherine Snow; Meghan McCormick; JoAnn Hsueh; Jason Sachs – Grantee Submission, 2023
Classroom-level quality measures are widely used in early education settings but may mask important variation in learning experiences across children in the same classroom. This study investigates this possibility using detailed data from an observational measure of individual children's learning experiences--Individualizing Student Instruction…
Descriptors: Learning Experience, Individual Differences, Individualized Instruction, Public Schools
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Goulet, Julie; Archambault, Isabelle; Morizot, Julien; Olivier, Elizabeth; Tardif-Grenier, Kristel – Journal of Psychoeducational Assessment, 2023
Studies highlighting the importance of parental involvement in schooling have multiplied over the past years. However, well-validated tools assessing the different dimensions of parental involvement are lacking, especially when addressing young students' perception of their parents' involvement. This study offers a preliminary validation of the…
Descriptors: Test Validity, Parent Participation, Questionnaires, Student Attitudes
Julia L. Ferguson; Amanda M. Rogue; Tracey D. Terhune; Christine M. Milne; Joseph H. Cihon; Maddison J. Majeski-Gerken; Justin B. Leaf; John McEachin; Ronald Leaf – Exceptionality, 2024
This study aimed to extend previous literature comparing continuous methods of data collection to estimation data, but this time implementing the data collection procedures within a group discrete trial teaching format with three individuals diagnosed with autism spectrum disorder. Group discrete trial teaching was conducted in a classroom setting…
Descriptors: Autism Spectrum Disorders, Kindergarten, Elementary School Students, Elementary School Teachers
Sutherland, Marah; Clarke, Ben; Nese, Joseph F. T.; Cary, Mari Strand; Shanley, Lina; Furjanic, David; Durán, Lillian – Grantee Submission, 2020
Drawing from the developmental and cognitive mathematics literature, the purpose of this study was to investigate the reliability, validity, and diagnostic utility of a widely-researched number line task in kindergarten. Specifically, the Number Line Assessment 0-100 (NLA 0-100) as compared to an established kindergarten screening measure was…
Descriptors: Mathematics Tests, Screening Tests, Test Reliability, Test Validity
Smith, R. Alex; Lembke, Erica S. – Assessment for Effective Intervention, 2021
This study examined the technical adequacy of Picture Word, a type of Writing Curriculum-Based Measurement, with 73 English learners (ELs) with beginning to intermediate English language proficiency in Grades 1, 2, and 3. The ELs in this study attended schools in one midwestern U.S. school district employing an English-only model of instruction…
Descriptors: Writing Tests, English Language Learners, Elementary School Students, Grade 1
Eklund, Katie; Kilgus, Stephen P.; Barber, Alexandra; Dubose, Kortni; Collins, Bri'Anna; Eikenmeyer, Madison – Psychology in the Schools, 2023
Universal screening has emerged as one strategy within schools for identifying students who demonstrate social emotional and behavioral (SEB) concerns to provide appropriate support. However, research has demonstrated little evidence of equity around diagnostic accuracy; that is, how students might be differentially identified as at-risk for SEB…
Descriptors: Race, Ethnicity, Racial Differences, Student Characteristics
Murphy, Kimberly A.; Springle, Alisha P.; Sultani, Mollee J.; McIlraith, Autumn – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Analysis of narrative language samples is a recommended clinical practice in the assessment of children's language skills, but we know little about how results from such analyses relate to overall oral language ability across the early school years. We examined the relations between language sample metrics from a short narrative retell,…
Descriptors: Child Language, Oral Language, Language Skills, Story Telling
J. Anthony, Christopher; Styck, Kara M.; Cooke, Erin; Martel, Justin R.; E. Frye, Katherine – School Psychology Review, 2022
Behavior rating scales represent one of the most commonly used types of assessments in school psychology. Yet, they suffer from a fundamental limitation: They are an indirect methodology influenced partially by student behavior and partially by rater perspectives. Thus, the current study utilized advanced analytic approaches to evaluate rater…
Descriptors: Behavior Rating Scales, Evaluators, Student Evaluation, Elementary School Students
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Koller, Katherine A.; Hojnoski, Robin L.; Van Norman, Ethan R. – Assessment for Effective Intervention, 2022
A strong foundation in early literacy supports children's academic pursuits and impacts personal, social, and economic outcomes. Therefore, examining the adequacy of early literacy assessments as predictors of future performance on important outcomes is critical for identifying students at risk of reading problems. This study explored the…
Descriptors: Classification, Accuracy, Emergent Literacy, Predictive Validity
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Assessment in Education: Principles, Policy & Practice, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Su, Shiyang; Davison, Mark L. – Applied Measurement in Education, 2019
Response times have often been used as ancillary information to improve parameter estimation. Under the dual processing theory, assuming reading comprehension requires an automatic process, a fast, correct response is an indicator of effective automatic processing. A skilled, automatic comprehender should be high in response accuracy and low in…
Descriptors: Reaction Time, Reading Comprehension, Reading Tests, Predictive Validity