Negotiating the review process: a CIA guide to intelligence analysis, 1970

The literature on intelligence analysis contains many references to the ‘review process’, the mechanism by which analysts’ drafts are converted into corporate products. Analysts whose drafts consistently navigate the process quickly and smoothly are regarded as star performers. Divining the practical meaning of organizational definitions of ‘good’ analysis and the personal preferences of specific senior reviewers is not easy, however. Analysts occasionally commit their understanding of reviewers’ stylistic preferences to paper, effectively providing style guides to help others. This essay presents and explains the development and implications of one such guide, which was designed to help analysts in CIA’s Office of Strategic Research in the early 1970s.     

The Finnish Citizens’ Initiative: Towards Inclusive Agenda‐setting?

This article examines whether the Citizens' Initiative (CI) in Finland has enhanced inclusion in processes of political agenda‐setting. Democratic innovations such as CIs have been proposed as a solution to the challenges facing Western democracies. CIs are expected to increase political inclusion by allowing citizens to set the political agenda and by mobilising otherwise marginalised or passive citizens. However, the empirical evidence on this proposition remains scarce. This study examines the impact of the CI in Finland on political inclusion. It relies on the Civic Voluntarism Model (CVM) to determine whether the CI mobilises citizens who otherwise tend to be less involved in political matters and thereby enhances inclusiveness. The data come from the Finnish National Election Study 2015 (FNES2015), which is a cross‐sectional representative survey conducted in the wake of the national parliamentary elections in April 2015. Logistic regression models are used in the article to examine the relative importance of socioeconomic resources and civic skills, psychological political engagement and recruitment networks. The results show that while users have many of the familiar traits of political activists, the CI also activates marginalised groups. Most importantly, young citizens are likely to support CIs and the Internet constitutes a central recruitment network. In this sense, the CI has helped increase democratic inclusiveness.     

For the Want of a Nail: The Interaction of Managerial Capacity and Human Resource Management on Organizational Performance

Human resource management and managerial capacity are well documented in the public management literature as integral management functions. The field has devoted attention to the importance of human resources, but it has yet to consider whether human resource management interacts with capacity in attaining organizational outcomes. Using a large‐N, multiyear data set of public organizations, this article seeks to rectify this gap in the literature. The findings validate scholarly arguments on the importance of public organizations’ need to manage human resources and capacity effectively, identifying just the right combination for performance gains. Empirical results encourage practitioners to consider the ways in which human resource management and capacity work together to influence performance but sometimes undermine each other in counterintuitive ways.     

At the Nexus of Observational and Experimental Research: Theory,Specification, and Analysis of Experiments with Heterogeneous Treatment Effects

Experimentalists are increasingly examining heterogeneous treatment effects, in which observed individual-level characteristics are hypothesized to moderate an experimental treatment effect. Such work places researchers at the nexus of experimental and observational approaches. In this paper, we discuss the theoretical and statistical issues that can arise in testing such hypotheses. We note that inclusion of an observed (as opposed to randomly-assigned) moderator introduces the possibility of confounds that are commonplace in observational data analysis but too-easily ignored in experimental data analysis. We simulate several different data generating processes that include heterogeneous treatment effects, and we discuss the implications of various statistical models. We aim to provide researchers who examine heterogeneous treatment effects with background and advice that enable them to identify where common issues may arise and to develop research designs and implement statistical tests that will mitigate them.