Do you want to design an evaluation; or, do you need to identify someone who can design and conduct an evaluation for you? This page provides resources for organizations as they develop research plans to evaluate adolescent pregnancy prevention (APP) programs.
All high-quality research plans share a number of components, including a clearly articulated program model, research questions that are of interest to decision makers, and a study design and components that provide valid answers to these research questions. Each item below contains a set of resources that program managers and evaluators may want to consider when developing a research plan. The resources are organized into the following categories:
These resources describe how to develop research questions for different types of evaluations and how to collect data to address your research questions. The links below can assist you in articulating your research questions and deciding what measures and data to use to answer them.
A logic model is a visual tool for describing the components of a program and how these components are expected to be linked with intended outcomes. This section offers resources on how to develop an effective logic model based on the program’s theory of change and aligns with your research questions.
These resources provide tips and considerations for choosing an external evaluator for your evaluation. An evaluator can help with designing the study, choosing outcome measures and methods, obtaining research approval, creating data security procedures, collecting and analyzing data, and reporting.
The Department of Health and Human Services (HHS) has established scientific standards to assess completed evaluations of programs designed to improve teenage outcomes related to sexual activity, contraceptive use, sexually transmitted infections, pregnancy, or births. The resources listed below provide an overview of the HHS evidence review standards and discuss important factors to consider when planning a rigorous evaluation of program effectiveness that will meet these standards.
An implementation (or process) study offers a scientific and objective approach for describing program services, including who receives services and what services they received. These resources define core concepts in implementation research and provide concrete steps for designing and conducting an implementation evaluation.
These resources address a variety of research methods that you can use to examine program outcomes, including experimental, quasi-experimental, and non-experimental designs. They focus on choosing the best design possible, even when resources or data are limited. They also present a number of strategies for strengthening non-experimental designs, which include pre-test/post-test designs, time-series designs, longitudinal studies, and post-test only designs.
If you plan to modify a program to address the needs of a particular community or context, this set of resources offers guidance and recommendations for adapting an existing effective program model without removing its core components or minimizing program outcomes.
Evaluation research may be viewed with skepticism in tribal communities, as previous research has often failed to recognize the sovereignty of native people or to draw on indigenous practices. This set of resources addresses some of the considerations for conducting program evaluations in tribal communities and outlines best practices for embarking on this type of work.
These resources aim to provide guidance on many issues faced during an evaluation, from the planning stage through data analysis and dissemination. They cover all of the topics addressed above, as well as some additional topics, including the logistics of data collection, sample retention and attrition, the cost of conducting an evaluation, frequently asked questions when designing an evaluation, and much more.
These resources describe how to conduct a thorough comprehensive needs assessment, from planning to data collection to dissemination to action steps as a result of the findings.