Publication Date
In 2025 | 0 |
Since 2024 | 6 |
Descriptor
Monte Carlo Methods | 6 |
Research Design | 6 |
Statistical Analysis | 3 |
Hierarchical Linear Modeling | 2 |
Mathematical Formulas | 2 |
Randomized Controlled Trials | 2 |
Sample Size | 2 |
Accuracy | 1 |
Computation | 1 |
Data Analysis | 1 |
Data Use | 1 |
More ▼ |
Author
Anthony W. Raborn | 1 |
Ayse Busra Ceviren | 1 |
Ben Kelcey | 1 |
Benjamin Kelcey | 1 |
Corinne Huggins-Manley | 1 |
Hannah Luce | 1 |
Jessaca Spybrook | 1 |
Jessica A. R. Logan | 1 |
Kyle Cox | 1 |
Mariola Moeyaert | 1 |
Menglin Xu | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Dissertations/Theses -… | 1 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Nianbo Dong; Benjamin Kelcey; Jessaca Spybrook – Journal of Experimental Education, 2024
Multisite cluster randomized trials (MCRTs), in which, the intermediate-level clusters (e.g., classrooms) are randomly assigned to the treatment or control condition within each site (e.g., school), are among the most commonly used experimental designs across a broad range of disciplines. MCRTs often align with the theory that programs are…
Descriptors: Research Design, Randomized Controlled Trials, Statistical Analysis, Sample Size
Mariola Moeyaert; Panpan Yang; Yukang Xue – Journal of Experimental Education, 2024
We have entered an era in which scientific evidence increasingly informs research practice and policy. As there is an exponential increase in the use of single-case experimental designs (SCEDs) to evaluate intervention effectiveness, there is accumulating evidence available for quantitative synthesis. Consequently, there is a growing interest in…
Descriptors: Meta Analysis, Research Design, Synthesis, Patients
Menglin Xu; Jessica A. R. Logan – Educational and Psychological Measurement, 2024
Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…
Descriptors: Research Design, Research Methodology, Monte Carlo Methods, Statistical Analysis
Corinne Huggins-Manley; Anthony W. Raborn; Peggy K. Jones; Ted Myers – Journal of Educational Measurement, 2024
The purpose of this study is to develop a nonparametric DIF method that (a) compares focal groups directly to the composite group that will be used to develop the reported test score scale, and (b) allows practitioners to explore for DIF related to focal groups stemming from multicategorical variables that constitute a small proportion of the…
Descriptors: Nonparametric Statistics, Test Bias, Scores, Statistical Significance
Kyle Cox; Ben Kelcey; Hannah Luce – Journal of Experimental Education, 2024
Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a…
Descriptors: Randomized Controlled Trials, Monte Carlo Methods, Hierarchical Linear Modeling, Educational Research