In this book, Nancy Cartwright, Eileen Munro and John Pemberton introduce a new method for assessing whether plans for how to affect change produced their intended outcome, or whether they are likely to do so in the future. The method offers the prospect of a step-change improvement in the accuracy of policy assessments, based on a new pluralistic theory of causation. This theory, which goes beyond existing ones, synthesises seven tried and tested familiar component accounts so as to license identification and systematisation of a wide range of evidence types. The authors outline well-grounded improvements to methods for policy development and assessment by the systematic use of real-world examples, including notably that of child welfare. Their book will be valuable for the burgeoning audience concerned with the critical issue of how to develop and implement policies that work across domains from welfare to education and economics to medicine.
‘This is a detailed and thought-provoking account of how to evidence single-case causal claims. It is clear and engaging-I would recommend it to all evaluators and researchers interested in evaluation methodology.'
Jon Williamson - University of Manchester
Loading metrics...
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.
The HTML of this book complies with version 2.1 of the Web Content Accessibility Guidelines (WCAG), covering newer accessibility requirements and improved user experiences and achieves the intermediate (AA) level of WCAG compliance, covering a wider range of accessibility requirements.
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
You get concise descriptions (for images, charts, or media clips), ensuring you do not miss crucial information when visual or audio elements are not accessible.
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
You will still understand key ideas or prompts without relying solely on colour, which is especially helpful if you have colour vision deficiencies.
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.