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Wang, Yan; Kim, Eunsook; Yi, Zhiyao – Educational and Psychological Measurement, 2022
Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous indicators that represent different dimensions. It is a common practice to measure each dimension using items, create composite or factor scores for each dimension, and use these scores as indicators of profiles in LPA. In this case, measurement models for…
Descriptors: Robustness (Statistics), Profiles, Statistical Analysis, Classification
Gilholm, Patricia; Mengersen, Kerrie; Thompson, Helen – Educational and Psychological Measurement, 2021
Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Child Development
Holmes Finch, W. – Educational and Psychological Measurement, 2021
Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this…
Descriptors: Group Membership, Classification, Sample Size, Models
Raymond, Mark R.; Jiang, Zhehan – Educational and Psychological Measurement, 2020
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [G], which quantifies the ratio…
Descriptors: Generalizability Theory, Multivariate Analysis, Scores, Reliability
Liu, Ren; Qian, Hong; Luo, Xiao; Woo, Ada – Educational and Psychological Measurement, 2018
Subscore reporting under item response theory models has always been a challenge partly because the test length of each subdomain is limited for precisely locating individuals on multiple continua. Diagnostic classification models (DCMs), providing a pass/fail decision and associated probability of pass on each subdomain, are promising…
Descriptors: Classification, Probability, Pass Fail Grading, Scores