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Wolfgang Weidermann; Keith C. Herman; Wendy Reinke; Alexander von Eye – Grantee Submission, 2022
Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…
Descriptors: Student Behavior, Behavior Patterns, Monte Carlo Methods, Statistical Analysis
Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Assessment for Effective Intervention, 2021
This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…
Descriptors: Achievement Tests, Grade 6, Grade 7, At Risk Students
Suk, Youmi; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2021
There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…
Descriptors: Artificial Intelligence, Statistical Analysis, Statistical Inference, Classification
Kabiri, Laura S.; Mitchell, Katy; Brewer, Wayne; Ortiz, Alexis – Journal of School Health, 2018
Background: Public school children regularly participate in school-based physical activity, physical education, and fitness testing. However, almost 2 million American children are homeschooled. The purpose of this research was to assess the body composition of elementary school-aged homeschool children and their corresponding cardiovascular…
Descriptors: Home Schooling, Body Composition, Human Body, Elementary School Students
Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Jung, Pyung-Gang; McMaster, Kristen L. – Assessment for Effective Intervention, 2018
We examined the classification accuracy of Curriculum-Based Measurement in writing (CBM-W) Picture Word prompts scored for words written (WW), words spelled correctly (WSC), and correct word sequences (CWS). First graders (n = 133) were administered CBM-W prompts and the Test of Written Language-Third Edition (TOWL-3; Hammill & Larsen, 1996).…
Descriptors: Curriculum Based Assessment, Grade 1, Elementary School Students, Writing Evaluation
Sripai, Sunan; Wanawan, Ketkanok – Educational Research and Reviews, 2018
This research aimed to analyze the Latent Group Profile, hereafter (LPA) of good teacher characteristics' in the 21st century in the Northeastern region of Thailand. The samples were 4 groups, viz; 10 expert teachers for interviewing on the draft of the variable to develop the indicators; 12 teachers who won Guru Awards from Teachers Council for…
Descriptors: Profiles, Teacher Characteristics, Classification, Interviews
Porcu, Mariano; Giambona, Francesca – Journal of Early Adolescence, 2017
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into classes (categories) of an unobserved (latent) variable on the basis of the responses made on a set of nominal, ordinal, or continuous observed variables. In this article, we introduce LCA in order to demonstrate its usefulness to early adolescence…
Descriptors: Statistical Analysis, Classification, Early Adolescents, National Surveys
Lai, Emily R.; Kobrin, Jennifer L.; DiCerbo, Kristen E.; Holland, Laura R. – Measurement: Interdisciplinary Research and Perspectives, 2017
We describe an application of the assessment triangle, using a learning progression as the "cognition" vertex. We summarize two studies to evaluate whether evidence of student performance is consistent with our progression. In Study 1, we conducted think alouds using draft assessment activities and evaluated responses in relation to the…
Descriptors: Student Evaluation, Alignment (Education), Educational Assessment, Elementary School Students
Chen, Fu; Yan, Yue; Xin, Tao – Educational Psychology, 2017
The current study focuses on developing the learning progression of number sense for primary school students, and it applies a cognitive diagnostic model, the rule space model, to data analysis. The rule space model analysis firstly extracted nine cognitive attributes and their hierarchy model from the analysis of previous research and the…
Descriptors: Numeracy, Learning Processes, Elementary School Students, Foreign Countries
Mindrila, Diana L. – Psychology in the Schools, 2016
To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…
Descriptors: Classification, Student Behavior, Statistical Analysis, Multivariate Analysis
O'Brien, Rebecca; Pan, Xingyu; Courville, Troy; Bray, Melissa A.; Breaux, Kristina; Avitia, Maria; Choi, Dowon – Journal of Psychoeducational Assessment, 2017
Norm-referenced error analysis is useful for understanding individual differences in students' academic skill development and for identifying areas of skill strength and weakness. The purpose of the present study was to identify underlying connections between error categories across five language and math subtests of the Kaufman Test of…
Descriptors: Factor Analysis, Spelling, Factor Structure, Mathematics Tests
Renshaw, Tyler L. – Journal of Psychoeducational Assessment, 2017
The present study reports on an investigation of the generalizability of the technical adequacy of the Positive Experience at School Scale (PEASS) with a sample of students (N = 1,002) who differed substantially in age/grade level (i.e., adolescents in middle school as opposed to children in elementary school) and ethnic identity (i.e., majority…
Descriptors: Measures (Individuals), Student Experience, Adolescents, Middle School Students
Wolf, Patrick J.; Lasserre-Cortez, Shannon – Regional Educational Laboratory Southwest, 2018
Charter schools are public schools authorized to operate with some independence from district or state public school regulations, while still being held accountable for student outcomes. Like traditional schools operated by school districts, charter schools are free and are intended to be open to all students who desire to attend. This study…
Descriptors: Charter Schools, Public Schools, Traditional Schools, Special Education
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Accuracy

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