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Su, Kun; Henson, Robert A. – Journal of Educational and Behavioral Statistics, 2023
This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of…
Descriptors: Classification, Models, Science Tests, Physics
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Kooken, Janice; McCoach, D. Betsy; Chafouleas, Sandra M. – Journal of Experimental Education, 2019
Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…
Descriptors: Statistical Analysis, Middle School Students, Hierarchical Linear Modeling, Student Behavior
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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
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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
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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
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Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
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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
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
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, Classification
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Vaz-Rebelo, Piedade; Fernandes, Paula; Morgado, Julia; Monteiro, António; Otero, José – Educational Psychology, 2016
This study attempts to characterise what 7th- and 12th-grade students believe they do not know about artefacts and natural objects, as well as the dependence of what is unknown on a knowledge of these objects. The students were asked to make explicit through questioning what they did not know about a sample of objects. The unknowns generated were…
Descriptors: Foreign Countries, Grade 7, Grade 12, Beliefs
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Mofield, Emily L.; Parker Peters, Megan – Roeper Review, 2015
Researchers explored the typology of perfectionism among 153 (46% male, 54% female; 88% White, 8% African American, 5% Asian American, 4% Hispanic, 1% Other) suburban gifted adolescents and compared perfectionism scores (using the Goals and Work Habits Survey, a modification of Frost's Multidimensional Perfectionism Scale [F-MPS]) to samples of…
Descriptors: Personality Traits, Gifted, Adolescents, Suburbs
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Hertzog, Jodi L.; Harpel, Tammy; Rowley, Rochelle – Children & Schools, 2016
The goal of this study was to investigate the views of school staff, early adolescents, and parents about which behaviors constitute bullying or teen dating violence (TDV), with attention focused on perceived overlap between the two. To achieve this aim, a mixed-methods design was used to quantitatively investigate the factors associated with…
Descriptors: Bullying, Violence, Dating (Social), Student Attitudes
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Saint-Maurice, Pedro F.; Anderson, Katelin; Bai, Yang; Welk, Gregory J. – Research Quarterly for Exercise and Sport, 2016
Purpose: This study examined the agreement between estimated peak oxygen consumption (VO[subscript 2peak]) obtained from the Progressive Aerobic Cardiovascular Endurance Run (PACER) fitness test and equated PACER laps derived from One-Mile Run time (MR). Methods: A sample of 680 participants (324 boys and 356 girls) in Grades 7 through 12…
Descriptors: Metabolism, Physical Fitness, Grade 7, Grade 8
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Kaosa-ard, Chanapat; Erawan, Waraporn; Damrongpanit, Suntonrapot; Suksawang, Poonpong – Educational Research and Reviews, 2015
The researcher applied latent profile analysis to study the difference of the students' mathematical process skill. These skills are problem solving skills, reasoning skills, communication and presentation skills, connection knowledge skills, and creativity skills. Samples were 2,485 seventh-grade students obtained from Multi-stage Random…
Descriptors: Foreign Countries, Mathematics Skills, Classification, Statistical Analysis
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Berkovich, Izhak; Eyal, Ori – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to do methodological review of the literature on educational leaders and emotions that includes 49 empirical studies published in peer-reviewed journals between 1992 and 2012. Design/methodology/approach: The work systematically analyzes descriptive information, methods, and designs in these studies, and their…
Descriptors: Instructional Leadership, Educational Administration, Educational Research, Journal Articles
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