Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 38 |
Descriptor
Research Design | 48 |
Structural Equation Models | 48 |
Data Analysis | 14 |
Research Methodology | 14 |
Correlation | 11 |
Longitudinal Studies | 9 |
Statistical Analysis | 9 |
Foreign Countries | 8 |
Educational Research | 7 |
Error of Measurement | 7 |
Factor Analysis | 7 |
More ▼ |
Source
Author
Publication Type
Education Level
Elementary Education | 3 |
Elementary Secondary Education | 3 |
Higher Education | 3 |
Early Childhood Education | 2 |
Grade 8 | 2 |
High Schools | 2 |
Adult Education | 1 |
Grade 7 | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 2 |
Assessments and Surveys
What Works Clearinghouse Rating
Does not meet standards | 1 |
Ayse Busra Ceviren – ProQuest LLC, 2024
Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…
Descriptors: Structural Equation Models, Error of Measurement, Statistical Bias, Monte Carlo Methods
Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
Xu, Menglin; Logan, Jessica A. R. – Journal of Research on Educational Effectiveness, 2021
Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…
Descriptors: Longitudinal Studies, Research Design, Research Problems, Structural Equation Models
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
Andrew J. Martin; Harry Nejad; Susan Colmar; Gregory Arief D. Liem – Sage Research Methods Cases, 2014
This case study describes a program of research that developed a new measure--the Adaptability Scale--and then tested this new measure through a set of substantive research questions and publications. Three phases of this research program are detailed: a measurement phase, a modeling phase, and a mediation phase. The aim of this case study is to…
Descriptors: Test Construction, Measures (Individuals), Research Methodology, Factor Analysis
Branum-Martin, Lee; Mehta, Paras D.; Taylor, W. Patrick; Carlson, Coleen D.; Lei, Xiaoxuan; Hunter, C. Vincent; Francis, David J. – Society for Research on Educational Effectiveness, 2015
In order to examine the effectiveness of instruction, the authors confront formidable statistical problems, including multivariate structure of classroom observations, longitudinal dependence of both classroom observations and student outcomes. As the authors begin to examine instruction, classroom observations involve multiple variables for which…
Descriptors: Instructional Effectiveness, Learning Processes, Multivariate Analysis, Classroom Observation Techniques
Revilla, Melanie; Saris, Willem E. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Saris, Satorra, and Coenders (2004) proposed a new approach to estimate the quality of survey questions, combining the advantages of 2 existing approaches: the multitrait-multimethod (MTMM) and the split-ballot (SB) ones. Implemented in practice, this new approach led to frequent problems of nonconvergence and improper solutions. This article uses…
Descriptors: Multitrait Multimethod Techniques, Surveys, Monte Carlo Methods, Correlation
Paschall, Katherine W.; Mastergeorge, Ann M. – International Journal of Behavioral Development, 2016
The concept of bidirectionality represents a process of mutual influence between parent and child, whereby each influences the other as well as the dyadic relationship. Despite the widespread acceptance of bidirectional models of influence, there is still a lack of integration of such models in current research designs. Research on…
Descriptors: Educational Research, Educational History, Parent Child Relationship, Interaction
Bootrach, Pradit; Thiengkamol, Nongnapas; Thiengkamol, Tanarat Khoowaranyoo – Applied Environmental Education and Communication, 2015
Data was collected from 403 primary school administrators in Maha Sarakham Province, Thailand, to develop causal relationship model of Administrator Characteristics (AC), Teacher Characteristics (TC) and Environmental Education Principle (EE) that affect Environmental Education Strategy (EES) through Inspiration of Public Mind for Environmental…
Descriptors: Foreign Countries, Environmental Education, Educational Strategies, Administrator Characteristics
Kasekende, Francis; Munene, John C.; Otengei, Samson Omuudu; Ntayi, Joseph Mpeera – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to examine relationship between teacher competences and organizational citizenship behavior (OCB) with empowerment as a mediating factor. Design/methodology/approach: The study took a cross-sectional descriptive and analytical design. Using cluster and random sampling procedures, data were obtained from 383…
Descriptors: Teacher Competencies, Organizational Culture, Citizenship, Teacher Empowerment
Tucker-Drob, Elliot M. – Psychological Methods, 2011
Experiments allow researchers to randomly vary the key manipulation, the instruments of measurement, and the sequences of the measurements and manipulations across participants. To date, however, the advantages of randomized experiments to manipulate both the aspects of interest and the aspects that threaten internal validity have been primarily…
Descriptors: Experiments, Research Design, Inferences, Individual Differences
Prescriptive Statements and Educational Practice: What Can Structural Equation Modeling (SEM) Offer?
Martin, Andrew J. – Educational Psychology Review, 2011
Longitudinal structural equation modeling (SEM) can be a basis for making prescriptive statements on educational practice and offers yields over "traditional" statistical techniques under the general linear model. The extent to which prescriptive statements can be made will rely on the appropriate accommodation of key elements of research design,…
Descriptors: Research Design, Structural Equation Models, Educational Practices, Inferences
Aparicio, Ricardo Antonio – ProQuest LLC, 2013
The rapid pace of change for knowledge workers competing globally necessitates ongoing continuous learning. Increasingly, knowledge workers will need to be ready--willing and able--to engage in self-directed learning. This makes it important to understand what factors in the work environment might be related to the self-directed learning…
Descriptors: Transformational Leadership, Independent Study, Learning Readiness, Supervisors