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Showing 1 to 15 of 649 results Save | Export
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Ka Shu Lee; Susan Shur-Fen Gau; Wan-Ling Tseng – Journal of Autism and Developmental Disorders, 2024
Socio-cognitive difficulties in individuals with autism spectrum disorder (ASD) are heterogenuous and often co-occur with irritability symptoms, such as angry/grouchy mood and temper outbursts. However, the specific relations between individual symptoms are not well-represented in conventional methods analyzing aggregated autistic symptoms and ASD…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Psychological Patterns, Children
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Liu, Jin; Perera, Robert A.; Kang, Le; Sabo, Roy T.; Kirkpatrick, Robert M. – Journal of Educational and Behavioral Statistics, 2022
This study proposes transformation functions and matrices between coefficients in the original and reparameterized parameter spaces for an existing linear-linear piecewise model to derive the interpretable coefficients directly related to the underlying change pattern. Additionally, the study extends the existing model to allow individual…
Descriptors: Longitudinal Studies, Statistical Analysis, Matrices, Mathematics
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Annabel L. Davies; A. E. Ades; Julian P. T. Higgins – Research Synthesis Methods, 2024
Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To include all evidence in one coherent analysis, we require methods to "map" the outcomes onto a single…
Descriptors: Children, Body Composition, Measurement Techniques, Sampling
Yajuan Si; Roderick J. A. Little; Ya Mo; Nell Sedransk – Journal of Educational and Behavioral Statistics, 2023
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…
Descriptors: Educational Assessment, Response Rates (Questionnaires), Bias, Children
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de Jong, Peter F. – Journal of Psychoeducational Assessment, 2023
The Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V; Wechsler, 2014) provides a general intelligence score, representing "g," and five index scores, reflecting underlying broad factors. Within person differences between the overall performance across subtests and index scores, denoted as index difference scores, are often…
Descriptors: Test Validity, Children, Intelligence Tests, Indo European Languages
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Ellis-Davies, Kate; Lew-Levy, Sheina; Fleming, Eleanor; Boyette, Adam H.; Baguley, Thom – Field Methods, 2021
Temporal aspects of child and adolescent time allocation in diverse cultural settings have been difficult to model using conventional statistical techniques. A new statistical approach, Egocentric Relational Event Modelling (EREM), allows for the simultaneous modelling of activity frequency, duration, and sequencing. Here, EREM is applied to a…
Descriptors: Foreign Countries, Children, Adolescents, Employment
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Thompson, Yutian T.; Song, Hairong; Shi, Dexin; Liu, Zhengkui – Educational and Psychological Measurement, 2021
Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to…
Descriptors: Measurement, Statistical Analysis, Selection, Comparative Analysis
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Pacewicz, Christine E.; Myers, Nicholas D. – Measurement in Physical Education and Exercise Science, 2021
Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the…
Descriptors: Exercise Physiology, Longitudinal Studies, Statistical Analysis, Change
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Nam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
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Sullivan, Matthew O.; Gallagher, Louise; Heron, Elizabeth A. – Journal of Autism and Developmental Disorders, 2019
Aggressive behaviour is a significant issue for individuals with autism spectrum disorder (ASD), yet our understanding is limited compared to aggression in typically developing populations. This study examined behavioural, adaptive and cognitive data provided by the Simons Simplex Collection (N = 2184) to identify behavioural subgroups in children…
Descriptors: Aggression, Autism, Pervasive Developmental Disorders, Statistical Analysis
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Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
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Keller, Bryan – Journal of Educational and Behavioral Statistics, 2020
Widespread availability of rich educational databases facilitates the use of conditioning strategies to estimate causal effects with nonexperimental data. With dozens, hundreds, or more potential predictors, variable selection can be useful for practical reasons related to communicating results and for statistical reasons related to improving the…
Descriptors: Nonparametric Statistics, Computation, Testing, Causal Models
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Walters, Glenn D. – International Journal of Social Research Methodology, 2018
As research on mediation has grown, so too has interest in identifying ways to assess the size of indirect effects in a mediation analysis. One such estimate -- the ratio of the indirect effect to the total effect (P[subscript M]) -- was tested in a sample of 21,297 children from the Early Childhood Developmental Study. Results showed that the two…
Descriptors: Effect Size, Computation, Statistical Analysis, Predictor Variables
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Mittleman, Joel – Sociology of Education, 2018
There is growing concern that suspensions trigger a "downward spiral," redirecting children's trajectories away from school success and toward police contact. The current study tests this possibility, analyzing whether and in what ways childhood suspensions increase children's risk for juvenile arrests. Combining 15 years of data from…
Descriptors: Suspension, Juvenile Justice, Crime, Risk
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Geuke, Gemma G. M.; Maric, Marija; Miocevic, Milica; Wolters, Lidewij H.; de Haan, Else – New Directions for Child and Adolescent Development, 2019
The major aim of this manuscript is to bring together two important topics that have recently received much attention in child and adolescent research, albeit separately from each other: single-case experimental designs and statistical mediation analysis. Single-case experimental designs (SCEDs) are increasingly recognized as a valuable…
Descriptors: Children, Adolescents, Research, Case Studies
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