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Enders, Craig K. – Grantee Submission, 2017
The last 20 years has seen an uptick in research on missing data problems, and most software applications now implement one or more sophisticated missing data handling routines (e.g., multiple imputation or maximum likelihood estimation). Despite their superior statistical properties (e.g., less stringent assumptions, greater accuracy and power),…
Descriptors: Data Analysis, Computer Software, Computation, Statistical Analysis
Boedeker, Peter – Practical Assessment, Research & Evaluation, 2017
Hierarchical linear modeling (HLM) is a useful tool when analyzing data collected from groups. There are many decisions to be made when constructing and estimating a model in HLM including which estimation technique to use. Three of the estimation techniques available when analyzing data with HLM are maximum likelihood, restricted maximum…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Bayesian Statistics, Computation
Kamienkowski, Juan E.; Carbajal, M. Julia; Bianchi, Bruno; Sigman, Mariano; Shalom, Diego E. – Discourse Processes: A multidisciplinary journal, 2018
When a word is read more than once, reading time generally decreases in the successive occurrences. This Repetition Effect has been used to study word encoding and memory processes in a variety of experimental measures. We studied naturally occurring repetitions of words within normal texts (stories of around 3,000 words). Using linear mixed…
Descriptors: Repetition, Eye Movements, Reading, Cognitive Processes
Heemsoth, Tim; Retelsdorf, Jan – Measurement in Physical Education and Exercise Science, 2018
Educational research emphasizes the advantages of multimethod designs. However, if the design comprises different perspectives, the question of construct validity emerges. We related this question to student and teacher ratings of student-student relations, which are of high interest in research on physical education. In our study, 2,160 students…
Descriptors: Educational Research, Factor Analysis, Peer Relationship, Physical Education Teachers
Cheung, Chris Hin Wah; Kennedy, Kerry J.; Leung, Chi Hung; Hue, Ming Tak – British Journal of Religious Education, 2018
This paper explored the impact of religious engagement (religious background, religious service attendance and religious activities participation) on adolescents' civic and social values. Attitudes towards the influence of religion on society were investigated as a possible mediator/moderator of religious engagement. A model based on Western…
Descriptors: Role of Religion, Religious Factors, Hierarchical Linear Modeling, Social Values
Mahmoudi, Hojjat; Brown, Monica R.; Amani Saribagloo, Javad; Dadashzadeh, Shiva – Youth & Society, 2018
This aim of this current research was a multi-level analysis of the relationship between school culture, basic psychological needs, and adolescents' academic alienation. One thousand twenty-nine (N = 1,029) high school students from Qom City were randomly selected through a multi-phase cluster sampling method and answered questions regarding…
Descriptors: Foreign Countries, School Culture, Psychological Patterns, Adolescents
Uretsky, Mathew C.; Lee, Bethany R.; Greeno, Elizabeth J.; Barth, Richard P. – Research on Social Work Practice, 2017
Objective: The purpose of this study is to examine the correlates of child behavior change over time in a replication of the KEEP intervention. Method: The study sample was drawn from the treatment group of the Maryland replication of KEEP (n=65). Change over time was analyzed using multilevel linear mixed modeling. Results: Parents' use of…
Descriptors: Behavior Problems, Child Behavior, Foster Care, Parent Education
Pustejovsky, James E.; Hedges, Larry V.; Shadish, William R. – Journal of Educational and Behavioral Statistics, 2014
In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction of a treatment at different times for different individuals. This article outlines a general…
Descriptors: Hierarchical Linear Modeling, Effect Size, Maximum Likelihood Statistics, Computation
Luo, Wen; Azen, Razia – Journal of Educational and Behavioral Statistics, 2013
Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…
Descriptors: Predictor Variables, Hierarchical Linear Modeling, Statistical Analysis, Regression (Statistics)
Sterba, Sonya K.; Pek, Jolynn – Psychological Methods, 2012
Researchers in psychology are increasingly using model selection strategies to decide among competing models, rather than evaluating the fit of a given model in isolation. However, such interest in model selection outpaces an awareness that one or a few cases can have disproportionate impact on the model ranking. Though case influence on the fit…
Descriptors: Psychological Studies, Models, Selection, Statistical Analysis
Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
Preston, Andrew James – ProQuest LLC, 2013
Response to intervention (RtI) is an approach to assist students with learning difficulties. There is limited research into the effectiveness of RtI within rural school districts. To address that gap, this quantitative, experimental study tested the theory of RtI, comparing the tier of intervention to oral reading fluency, controlling for…
Descriptors: Oral Reading, Reading Fluency, Reading Improvement, Hierarchical Linear Modeling