Evaluation research conducted in agencies that sanction law violators is often challenging and due process may preclude evaluators from using experimental methods in traditional criminal justice agencies such as police, courts, and corrections. However, administrative agencies often deal with the same population but are not bound by due process…

The 4-H youth development organization is a complex public--private partnership between the U.S. Department of Agriculture's National Institute of Food and Agriculture, the nation's Cooperative Extension system and National 4-H Council, a private, nonprofit partner. The current article is focused on a partnership approach to the…

Our understanding of programs is enhanced when trained, skilled, and observant evaluators go "into the field"--the real world where programs are conducted--paying attention to what's going on, systematically documenting what they see, and reporting what they learn. The article opens by presenting and illustrating twelve reasons for…

To answer "what works?" questions about policy interventions based on an experimental design, Peck (2003) proposes to use baseline characteristics to symmetrically divide treatment and control group members into subgroups defined by endogenously determined postrandom assignment events. Symmetric prediction of these subgroups in both…

Little is known empirically about intraclass correlations (ICCs) for multisite cluster randomized trial (MSCRT) designs, particularly in science education. In this study, ICCs suitable for science achievement studies using a three-level (students in schools in districts) MSCRT design that block on district are estimated and examined. Estimates of…

Although evaluators often use an interrupted time series (ITS) design to test hypotheses about program effects, there are few empirical tests of the design's validity. We take a randomized experiment on an educational topic and compare its effects to those from a comparative ITS (CITS) design that uses the same treatment group as the experiment…

Evaluators must employ research designs that generate compelling evidence related to the worth or value of programs, of which assessment data often play a critical role. This article focuses on assessment design in the context of evaluation. It describes the process of using the Framework for K-12 Science Education and Next Generation Science…

In this article, we test an alternative approach to creating a counterfactual basis for estimating individual and average treatment effects. Instead of using control/comparison groups or before-measures, the so-called Counterfactual as Self-Estimated by Program Participants (CSEPP) relies on program participants' self-estimations of their own…

There is a long-standing debate as to whether nonexperimental estimators of causal effects of social programs can overcome selection bias. Most existing reviews either are inconclusive or point to significant selection biases in nonexperimental studies. However, many of the reviews, the so-called "between-studies," do not make direct…

In evaluation and applied social research, focus groups may be used to gather different kinds of evidence (e.g., opinion, tacit knowledge). In this article, we argue that making focus group design choices explicitly in relation to the type of evidence required would enhance the empirical value and rigor associated with focus group utilization. We…

In the current climate of increasing fiscal and clinical accountability, information is required about overall program effectiveness using clinical data. These requests present a challenge for programs utilizing single-subject data due to the use of highly individualized behavior plans and behavioral monitoring. Subsequently, the diversity of the…

This article explores the viability of online crowdsourcing for creating matched-comparison groups. This exploratory study compares survey results from a randomized control group to survey results from a matched-comparison group created from Amazon.com's MTurk crowdsourcing service to determine their comparability. Study findings indicate…

Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's causal model to…

Sound evaluation planning requires numerous decisions about how constructs in a program theory will be translated into measures and instruments that produce evaluation data. This article, the first in a dialogue exchange, examines how decisions about measurement are (and should be) made, especially in the context of small-scale local program…

Using exogenous characteristics to identify endogenous subgroups, the approach discussed in this method note creates symmetric subsets within treatment and control groups, allowing the analysis to take advantage of an experimental design. In order to maintain treatment--control symmetry, however, prior work has posited that it is necessary to use…