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Qinxin Shi; Jonathan E. Butner; Robyn Kilshaw; Ascher Munion; Pascal Deboeck; Yoonkyung Oh; Cynthia A. Berg – Grantee Submission, 2023
Developmental researchers commonly utilize longitudinal data to decompose reciprocal and dynamic associations between repeatedly measured constructs to better understand the temporal precedence between constructs. Although the cross-lagged panel model (CLPM) is commonly used in developmental research, it has been criticized for its potential to…
Descriptors: Models, Longitudinal Studies, Developmental Psychology, Behavior Problems
Strauss, Christian L. L. – ProQuest LLC, 2022
In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…
Descriptors: Scores, Factor Analysis, Models, True Scores
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John – Educational and Psychological Measurement, 2021
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…
Descriptors: Goodness of Fit, Hierarchical Linear Modeling, Computation, Models
Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
Raykov, Tenko; Marcoulides, George A.; Akaeze, Hope O. – Educational and Psychological Measurement, 2017
This note is concerned with examining the relationship between within-group and between-group variances in two-level nested designs. A latent variable modeling approach is outlined that permits point and interval estimation of their ratio and allows their comparison in a multilevel study. The procedure can also be used to test various hypotheses…
Descriptors: Comparative Analysis, Models, Statistical Analysis, Hierarchical Linear Modeling
Lyke, Austin – Journal of College and University Student Housing, 2018
This article investigates the relationship between state-level marijuana policies and drug and alcohol violations in on-campus housing. A review of trends in drug usage precedes discussion of a conceptual framework that can help explain how interactions between college and university student housing and state policy impacts student behavior.…
Descriptors: Marijuana, State Policy, On Campus Students, College Housing
Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
Booth, Chase R.; Brown, Hannah L.; Eason, Elizabeth G.; Wallot, Sebastian; Kelty-Stephen, Damian G. – Discourse Processes: A multidisciplinary journal, 2018
Reader expectations form across hierarchical scales of discourse (e.g., from coarse to fine: genre, narrative, syntax). Cross-scale interactivity produces word reading times (RTs) with multifractal structure. After introducing multifractals, we test two hypotheses regarding their relevance to reader expectations: (1) multifractal evidence of…
Descriptors: Gender Issues, Expectation, Reading Rate, Hypothesis Testing
Hedberg, E. C.; Hedges, L. V.; Kuyper, A. M. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are generally considered to provide the strongest basis for causal inferences about cause and effect. Consequently randomized field trials have been increasingly used to evaluate the effects of education interventions, products, and services. Populations of interest in education are often hierarchically structured (such as…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Correlation, Computation
Drechsler, Jörg – Journal of Educational and Behavioral Statistics, 2015
Multiple imputation is widely accepted as the method of choice to address item-nonresponse in surveys. However, research on imputation strategies for the hierarchical structures that are typically found in the data in educational contexts is still limited. While a multilevel imputation model should be preferred from a theoretical point of view if…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Educational Research, Statistical Bias
Syed, Javaid A. – ProQuest LLC, 2017
The purpose of the present study was to test the Emotional Stability dimension of the Big Five factors of personality traits theory to predict or explain a relationship with Employee Organizational Commitment, when the relationship between Emotional Stability (ES) and Employee Organizational Commitment (EOC) was moderated by Gender and AgeGroup.…
Descriptors: Information Technology, Multiple Regression Analysis, Personality Traits, Prediction
Higgs, Karyn; Magliano, Joseph P.; Vidal-Abarca, Eduardo; Martínez, Tomas; McNamara, Danielle S. – Discourse Processes: A multidisciplinary journal, 2017
Some individual difference factors are more strongly correlated with performance on postreading questions when the text is not available than when it is. The present study explores if similar interactions occur with bridging skill, which refers to a reader's propensity to establish connections between explicit text during reading. Undergraduates…
Descriptors: Task Analysis, Reading Processes, Reading Strategies, Correlation
Yang, Chunyan; Bear, George G.; May, Henry – School Psychology Review, 2018
The concurrent associations between students' perceptions of cognitive-behavioral and emotional engagement in schools and three factors aligning with the major aims of the school-wide social-emotional learning (SEL) approach (i.e., teacher-student relationships, student-student relationships, and teaching of social and emotional competencies) were…
Descriptors: Learner Engagement, Elementary Schools, Middle Schools, High Schools
Chen, Qian – International Journal of Science and Mathematics Education, 2014
In this study, the Trends in International Mathematics and Science Study 2007 data were used to build mathematics achievement models of fourth graders in two East Asian school systems: Hong Kong and Singapore. In each school system, eight variables at student level and nine variables at school/class level were incorporated to build an achievement…
Descriptors: Foreign Countries, Mathematics Achievement, Grade 4, Mathematics Tests