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Tenko Raykov; Christine DiStefano; Natalja Menold – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemented in particular in the popular intercept-and-slope model as well as in more general models containing it as a component, such as longitudinal…
Descriptors: Structural Equation Models, Hypothesis Testing, Longitudinal Studies, Research Methodology
Sözer Boz, Esra; Kahraman, Nilüfer – International Journal of Contemporary Educational Research, 2023
This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the subjective well-being of volunteer college students (n=154). Firstly, several unconditional growth…
Descriptors: Statistical Analysis, Models, Well Being, College Students
Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
Jolien Cremers; Laust Hvas Mortensen; Claus Thorn Ekstrøm – Sociological Methods & Research, 2024
Longitudinal studies including a time-to-event outcome in social research often use a form of event history analysis to analyse the influence of time-varying endogenous covariates on the time-to-event outcome. Many standard event history models however assume the covariates of interest to be exogenous and inclusion of an endogenous covariate may…
Descriptors: Longitudinal Studies, Social Science Research, Research Methodology, Bayesian Statistics
Matthew J. Madison; Seungwon Chung; Junok Kim; Laine P. Bradshaw – Grantee Submission, 2023
Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…
Descriptors: Models, Cognitive Measurement, Diagnostic Tests, Classification
Trevor K. M. Day; Arielle Borovsky; Donna Thal; Jed T. Elison – Developmental Science, 2025
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real-world needs. First, we show that Words & Gestures data collected…
Descriptors: Language Skills, Measures (Individuals), Children, Models
Steve Jenks – ProQuest LLC, 2023
College choice models have been used since the 1980s to try and explain the processes and influences high school students use to decide if and which college to attend after graduation. These models focused solely on college attendance and lacked attention to the nuanced needs and resources found in rural communities. In this three-paper…
Descriptors: College Choice, Models, High School Students, Race
Balmer, Dorene F.; Richards, Boyd F. – Advances in Health Sciences Education, 2022
This paper explores the use of theory in longitudinal qualitative research, an approach to research which explores lived experiences as they unfold. The authors illustrate how the complexity of conducting qualitative research through time drives an understanding and use of theory that differs from other research approaches. Longitudinal…
Descriptors: Qualitative Research, Longitudinal Studies, Theories, Models
Madeline A. Schellman; Matthew J. Madison – Grantee Submission, 2024
Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Denisa Gandara; Hadis Anahideh – Society for Research on Educational Effectiveness, 2024
Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…
Descriptors: Prediction, Learning Analytics, Ethics, Statistical Bias
Isabella Minderop; Bernd Weiß – International Journal of Social Research Methodology, 2023
Preventing panel members from attriting is a fundamental challenge for panel surveys. Research has shown that response behavior in earlier waves (response or nonresponse) is a good predictor of panelists' response behavior in upcoming waves. However, response behavior can be described in greater detail by considering the time until the response is…
Descriptors: Prediction, Models, Behavior Patterns, Attrition (Research Studies)
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
Jaison Caetano da Silva; Edson Andrade dos Reis; Rosilene Marcon; Jeferson Lana; Cinara Gambirage – Tertiary Education and Management, 2024
As interest increases in the educational quality of higher education institutions (HEIs), less is known about how the mergers and acquisitions (M&As) of these HEIs affect educational quality. In this study, we investigate the association of M&As on the educational quality of HEIs and the role of institutional incentives in this relation.…
Descriptors: Educational Change, Higher Education, Foreign Countries, Educational Quality
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory