Despite the rising popularity of big data, there is speculation that evaluators have been slow adopters of these new statistical approaches. Several possible reasons have been offered for why this is the case: ethical concerns, institutional capacity, and evaluator capacity and values. In this method note, we address one of these barriers and aim…

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.…

Researcher--community partnerships are a necessary but not sufficient facet of effective research and evaluation with community-based projects and in clinical settings. This article describes two approaches that we have integrated into a multiyear, multiphase research and evaluation initiative supporting the health and well-being of vulnerable…

To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices…

The search for necessary and sufficient causes of some outcome of interest, referred to as "configurational comparative research," has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently…

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…

Where do evaluators find resources on ethics and ethical practice? This article highlights a relatively new online resource, a centerpiece project of the National Center for Professional and Research Ethics (NCPRE), which brings together information on best practices in ethics in research, academia, and business in an online portal and center. It…

In this paper, the author argues that evaluation theory and practice interact insufficiently today, even though early evaluation theorists expected them to be closely intertwined. She views this limited connection as the result of differing interests on the part of theorists and practitioners, differing frequencies of dissemination, and differing…

Developmental evaluation (DE), essentially conceptualized by Patton over the past 30 years, is a promising evaluative approach intended to support social innovation and the deployment of complex interventions. Its use is often justified by the complex nature of the interventions being evaluated and the need to produce useful results in real time.…

This article provides a frame for evaluation of natural resource interventions, which necessarily involves both human and natural systems. Two-system evaluands require us to adapt evaluation methods for comparison and attribution and to address differences in time and space occurring across the systems as well as potentially very different values…

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…

Attention to evaluation quality is commonplace, even if sometimes implicit. Drawing on her 2010 Presidential Address to the American Evaluation Association, Leslie Cooksy suggests that evaluation quality depends, at least in part, on the intersection of three factors: (a) evaluator competency, (b) aspects of the evaluation environment or context,…

This study addresses the central question "How do evaluators' background characteristics relate to their evaluation design choices?" Evaluators were provided with a fictitious description of a school-based program and asked to design an evaluation of that program. Relevant background characteristics such as level of experience,…

To describe the recent practice of evaluation, specifically method and design choices, the authors performed a content analysis on 117 evaluation studies published in eight North American evaluation-focused journals for a 3-year period (2004-2006). The authors chose this time span because it follows the scientifically based research (SBR)…

Although the general conceptual basis appeared far earlier, theory-driven evaluation came to prominence only a few decades ago with the appearance of Chen's 1990 book "Theory-Driven Evaluations." Since that time, the approach has attracted many supporters as well as detractors. In this paper, 45 cases of theory-driven evaluations, published over a…