Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 10 |
| Since 2016 (last 10 years) | 32 |
| Since 2006 (last 20 years) | 43 |
Descriptor
Source
Author
| Adam Sales | 2 |
| Anthony F. Botelho | 2 |
| Avery H. Closser | 2 |
| Feller, Avi | 2 |
| Hallberg, Kelly | 2 |
| Miratrix, Luke | 2 |
| Patikorn, Thanaporn | 2 |
| Schochet, Peter Z. | 2 |
| Abdi, Suhayb | 1 |
| Acosta, Joie D. | 1 |
| Alexa Budavari | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 1 |
Location
| Arizona | 2 |
| Florida | 2 |
| California | 1 |
| District of Columbia | 1 |
| Germany | 1 |
| India | 1 |
| Indiana | 1 |
| Louisiana | 1 |
| Maine | 1 |
| Maryland (Baltimore) | 1 |
| Massachusetts | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Iowa Tests of Basic Skills | 1 |
| Stanford Achievement Tests | 1 |
| TerraNova Multiple Assessments | 1 |
| Woodcock Johnson Tests of… | 1 |
| Youth Risk Behavior Survey | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGlaman, Ryan; Chen, Qi; Henson, Robin K. – Journal of Experimental Education, 2022
This study compared three approaches for handling a fourth level of nesting when analyzing cluster-randomized trial (CRT) data. Although CRT data analyses may include repeated measures, individual, and cluster levels, there may be an additional fourth level that is typically ignored. This study examined the impact of ignoring this fourth level,…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Data Analysis, Simulation
Download full textMindy L. Rosengarten; Emma R. Hart; Drew H. Bailey; Meghan P. McCormick; Benjamin J. Lovett; Tyler W. Watts – Annenberg Institute for School Reform at Brown University, 2024
Recent reviews of the educational intervention literature have noted patterns of intervention impact fadeout on cognitive skills, whereby skill trajectories between children in the intervention and control group converge in the years following the end of the intervention. Some early childhood education (ECE) researchers have suggested that skill…
Descriptors: Data Analysis, Meta Analysis, Intervention, Persistence
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Anthony Gambino – Society for Research on Educational Effectiveness, 2021
Analysis of symmetrically predicted endogenous subgroups (ASPES) is an approach to assessing heterogeneity in an ITT effect from a randomized experiment when an intermediate variable (one that is measured after random assignment and before outcomes) is hypothesized to be related to the ITT effect, but is only measured in one group. For example,…
Descriptors: Randomized Controlled Trials, Prediction, Program Evaluation, Credibility
Musci, Rashelle J.; Kush, Joseph M.; Masyn, Katherine E.; Esmaeili, Masoumeh Amin; Susukida, Ryoko; Goulter, Natalie; McMahon, Robert; Eddy, J. Mark; Ialongo, Nicholas S.; Tolan, Patrick; Godwin, Jennifer; Bierman, Karen L.; Bierman, Karen L.; Coie, John D.; Crowley, D. Max; Dodge, Kenneth A.; Greenberg, Mark T.; Lochman, John E.; McMahon, Robert J.; Pinderhughes, Ellen E.; Wilcox, Holly C. – Prevention Science, 2023
Psychotic-like experiences (PLEs) are common throughout childhood, and the presence of these experiences is a significant risk factor for poor mental health later in development. Given the association of PLEs with a broad number of mental health diagnoses, these experiences serve as an important malleable target for early preventive interventions.…
Descriptors: Psychosis, Symptoms (Individual Disorders), Children, Adolescents
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2020
This article discusses estimation of average treatment effects for randomized controlled trials (RCTs) using grouped administrative data to help improve data access. The focus is on design-based estimators, derived using the building blocks of experiments, that are conducive to grouped data for a wide range of RCT designs, including clustered and…
Descriptors: Randomized Controlled Trials, Data Analysis, Research Design, Multivariate Analysis
Wilhelmina van Dijk; Cynthia U. Norris; Sara A. Hart – Grantee Submission, 2022
Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization…
Descriptors: Twins, Research Design, Randomized Controlled Trials, Quasiexperimental Design
Proctor, Tanja; Zimmermann, Samuel; Seide, Svenja; Kieser, Meinhard – Research Synthesis Methods, 2022
During drug development, a biomarker is sometimes identified as separating a patient population into those with more and those with less benefit from evaluated treatments. Consequently, later studies might be targeted, while earlier ones are performed in mixed patient populations. This poses a challenge in evidence synthesis, especially if only…
Descriptors: Comparative Analysis, Meta Analysis, Patients, Medical Research
Nejstgaard, Camilla Hansen; Lundh, Andreas; Abdi, Suhayb; Clayton, Gemma; Gelle, Mustafe Hassan Adan; Laursen, David Ruben Teindl; Olorisade, Babatunde Kazeem; Savovic, Jelena; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2022
Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…
Descriptors: Medical Research, Randomized Controlled Trials, Corporations, Financial Support
IJzendoorn, Marinus H. – New Directions for Child and Adolescent Development, 2019
Randomized controlled trials are a special case of designs using an unbiased instrument to take care of confounders even if they are unmeasured or unknown. Another example of studies using instrumental variables is the Mendelian experiment and Directed Acyclic Graphs show the power of such designs to enhance the internal validity. It is argued…
Descriptors: Research Methodology, Randomized Controlled Trials, Researchers, Participatory Research
Hagopian, Louis P. – Journal of Applied Behavior Analysis, 2020
Single-case experimental designs (SCEDs) have proven invaluable in research and practice because they are optimal for asking many experimental questions relevant to the analysis of behavior. The consecutive controlled case series (CCCS) is a type of study in which a SCED is employed in a series of consecutively encountered cases that undergo a…
Descriptors: Case Studies, Data Analysis, Behavior Patterns, Clinical Diagnosis
Hallberg, Kelly; Williams, Ryan; Swanlund, Andrew – Journal of Research on Educational Effectiveness, 2020
More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…
Descriptors: Data Use, Research Methodology, Program Effectiveness, Design
Alexa Budavari; Heather McDaniel; Antonio Morgan-Lopez; Lissette Saavedra; Anna Yaros; John Lochman; Catherine Bradshaw – Society for Research on Educational Effectiveness, 2023
Background: It has become increasingly important to shift education research and programming from a deficit focused perspective to a positive youth development perspective in order to identify and promote factors that support students' positive functioning and outcomes. One outgrowth of positive youth development is Positive Mental Health (PMH),…
Descriptors: Data Analysis, Mental Health, Well Being, Academic Achievement
Finucane, Mariel McKenzie; Martinez, Ignacio; Cody, Scott – American Journal of Evaluation, 2018
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…
Descriptors: Bayesian Statistics, Data Analysis, Program Evaluation, Randomized Controlled Trials
