Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…

This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…

The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…

Premised on the idea that evaluators should be familiar with a range of approaches to program modifications, I review several existing approaches and then describe another, less well-recognized option. In this newer option, evaluators work with others to identify potentially needed adaptations for select program aspects "in advance." In…

Although the literature recognizes training as an essential driver of organizational effectiveness, little is still known about how to explicitly focus and align training to organizational strategic priorities. This note proposes a model that bridges the strategic human resource management (SHRM) literature and the Balanced Scorecard (BSC)…

In an age of accountability, numbers matter. Therefore, the accountability movement has led to the assessment movement. Higher education should be held accountable, and colleges themselves should take the lead in making sure colleges are meeting goals. Assessment was originally meant to improve higher education. Instead, assessment quickly became…

Early investigation led the Evaluative Study of Action Research (ESAR) team to conclude that the complexity of a global, large scale study (evaluation of more than 100 highly diverse action research [AR] projects) called for an overarching research evaluation framework that differed from traditional frameworks. This article details the flexible,…

The Labin et al. logic model describes the why, how, what, and potential outcomes of evaluation capacity building (ECB). Getting To Outcomes offers a frame and empirical results for operationalizing the ECB logic model of Labin et al. and for deepening the science and practice of ECB.

The aim of the article is to describe the assessment model adopted by the SCINTILLA Project, a project in Italy aimed at the online vocational training of young, seriously-disabled subjects and their subsequent work inclusion in smart-work mode. It will thus describe the model worked out for evaluation of the training program conceived for the…

In this rejoinder, Maydeu-Olivares states that, in item response theory (IRT) measurement applications, the application of goodness-of-fit (GOF) methods informs researchers of the discrepancy between the model and the data being fitted (the room for improvement). By routinely reporting the GOF of IRT models, together with the substantive results…

This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…

A latent variable modeling approach that can be used to examine whether several psychometric tests are parallel is discussed. The method consists of sequentially testing the properties of parallel measures via a corresponding relaxation of parameter constraints in a saturated model or an appropriately constructed latent variable model. The…

This paper describes the application of finite-mixture general linear models based on the beta distribution to modeling response styles, polarization, anchoring, and priming effects in probability judgments. These models, in turn, enhance our capacity for explicitly testing models and theories regarding the aforementioned phenomena. The mixture…

Regressions that control for confounding factors are the workhorse of evaluation research. When treatment effects are heterogeneous, however, the workhorse regression leads to estimated treatment effects that lack behavioral interpretations even when the selection on observables assumption holds. Regressions that use propensity scores as weights…

Research synthesis of evaluation findings is a multistep process. An investigator identifies a research question, acquires the relevant literature, codes findings from that literature, and analyzes the coded data to estimate the average treatment effect and its distribution in a population of interest. The process of estimating the average…