NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Cox, Kyle; Kelcey, Benjamin – American Journal of Evaluation, 2023
Analysis of the differential treatment effects across targeted subgroups and contexts is a critical objective in many evaluations because it delineates for whom and under what conditions particular programs, therapies or treatments are effective. Unfortunately, it is unclear how to plan efficient and effective evaluations that include these…
Descriptors: Statistical Analysis, Research Design, Cluster Grouping, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Tipton, Elizabeth – American Journal of Evaluation, 2022
Practitioners and policymakers often want estimates of the effect of an intervention for their local community, e.g., region, state, county. In the ideal, these multiple population average treatment effect (ATE) estimates will be considered in the design of a single randomized trial. Methods for sample selection for generalizing the sample ATE to…
Descriptors: Sampling, Sample Size, Selection, Randomized Controlled Trials
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Peer reviewed Peer reviewed
Direct linkDirect link
Bell, Stephen H.; Stapleton, David C.; Wood, Michelle; Gubits, Daniel – American Journal of Evaluation, 2023
A randomized experiment that measures the impact of a social policy in a sample of the population reveals whether the policy will work on average with universal application. An experiment that includes only the subset of the population that volunteers for the intervention generates narrower "proof-of-concept" evidence of whether the…
Descriptors: Public Policy, Policy Formation, Federal Programs, Social Services
Peer reviewed Peer reviewed
Direct linkDirect link
Bower, Kyle L. – American Journal of Evaluation, 2022
The purpose of this paper is to introduce the Five-Level Qualitative Data Analysis (5LQDA) method for ATLAS.ti as a way to intentionally design methodological approaches applicable to the field of evaluation. To demonstrate my analytical process using ATLAS.ti, I use examples from an existing evaluation of a STEM Peer Learning Assistant program.…
Descriptors: Qualitative Research, Data Analysis, Program Evaluation, Evaluation Methods