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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
Fong, Carlton J.; Lee, Jihyun; Krou, Megan R.; Hoff, Meagan A.; Johnston-Ashton, Karen; Gonzales, Cassandra; Beretvas, S. Natasha – Journal of Experimental Education, 2023
The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…
Descriptors: Meta Analysis, Factor Structure, Learning Strategies, Measures (Individuals)
Richie, Russell; Bhatia, Sudeep – Cognitive Science, 2021
Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not…
Descriptors: Classification, Generalization, Decision Making, Cognitive Processes
Koyuncu, Ilhan; Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2021
In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…
Descriptors: Classification, Graphs, Factor Analysis, Decision Making
Taskin, Necati; Kiliç Çakmak, Ebru – Contemporary Educational Technology, 2020
Marczewski (2015) has introduced a new classification model for different user types. Tondello et al. (2016) developed and later revised (Tondello et al., 2019) "The Gamification User Types Hexad Scale" based on this model. The aim of this study is to adapt this scale into Turkish. The validity and reliability study of the scale was…
Descriptors: Measures (Individuals), Turkish, Games, Media Adaptation
Yang, Yanyun; Xia, Yan – Educational and Psychological Measurement, 2019
When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…
Descriptors: Scores, Sample Size, Bayesian Statistics, Item Analysis
Gotch, Chad M.; French, Brian F. – Educational Assessment, 2020
The State of Washington requires school districts to file court petitions on students with excessive unexcused absences. The "Washington Assessment of Risks and Needs of Students" (WARNS), a self-report screening instrument developed for use by high school and juvenile court personnel in such situations, purports to measure six facets of…
Descriptors: Risk Assessment, Needs Assessment, Truancy, Measurement Techniques
Jewsbury, Paul A.; Bowden, Stephen C. – Journal of Psychoeducational Assessment, 2017
Fluency is an important construct in clinical assessment and in cognitive taxonomies. In the Cattell-Horn-Carroll (CHC) model, Fluency is represented by several narrow factors that form a subset of the long-term memory encoding and retrieval (Glr) broad factor. The CHC broad classification of Fluency was evaluated in five data sets, and the CHC…
Descriptors: Memory, Construct Validity, Cognitive Processes, Factor Analysis
Tang, Hengjun; Seah, Wee Tiong; Zhang, Qiaoping; Zhang, Weizhong – ECNU Review of Education, 2021
Purpose: Given that prior research has confirmed that students' mathematics values significantly affect their mathematics learning, understanding how students' values form and change, especially during different learning stages, is an important topic. Design/Approach/Methods: This study administered a questionnaire to investigate the values of…
Descriptors: Factor Structure, Mathematics Education, Student Attitudes, High School Students
Harrison, Ashley J.; Bradshaw, Laine P.; Naqvi, Nilofer C.; Paff, Madison L.; Campbell, Jonathan M. – Journal of Autism and Developmental Disorders, 2017
ASD knowledge deficits contribute to disparities in the timing and quality of ASD services. To address the limitations with existing measures of ASD knowledge, we developed and examined the Autism Stigma and Knowledge Questionnaire (ASK-Q), which comprehensively assesses multiple subdomains of ASD knowledge while maintaining strong psychometric…
Descriptors: Autism, Pervasive Developmental Disorders, Test Construction, Psychometrics
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
Demir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
Viriyangkura, Yuwadee – ProQuest LLC, 2014
Through a secondary analysis of statewide data from Colorado, people with intellectual and related developmental disabilities (ID/DD) were classified into five clusters based on their support needs characteristics using cluster analysis techniques. Prior latent factor models of support needs in the field of ID/DD were examined to investigate the…
Descriptors: Intellectual Disability, Developmental Disabilities, Classification, Multivariate Analysis