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The Americans with Disabilities Act (ADA) was designed to promote equal employment opportunities for handicapped individuals in the workplace. The law mandates that employers reasonably accommodate individuals with disabilities who are qualified to perform the job. However, employers are exempted from this requirement if the reasonable accommodation results in an undue hardship for the organization. The legal definitions of reasonable accommodation and undue hardship have evolved over time due to case law resulting from judicial decisions. This paper will review recent decisions by the U.S. Supreme Court and their effect on employer responsibilities under the ADA. Suggestions will be provided as to policies organizations could follow to respond to these requirements.

The key to using an analytic method is to understand its underlying logic and figure out how to incorporate it into the research process. In the case of Qualitative Comparative Analysis (QCA), so far these issues have been addressed only partly. While general introductions and user's guides for QCA software packages are available, prospective users find little guidance as to how the method works in applied data analysis. How can QCA be used to produce comprehensive, ingenious explanations of social phenomena? In this article, the author provides such a hands-on introduction to QCA. In the first two parts, he offers a concise overview of 1. the method's main principles and advantages as well as 2. its vital concepts. In the subsequent part, he offers suggestions for 3. how to employ QCA's analytic tools in the research process and how to interpret their output. Lastly, the author shows 4. how QCA results can inform the data analysis. As the main contribution, he provides a template for how to reassess cases, causal recipes, and single conditions based on QCA results in order to produce better explanations of what is happening in the data. With these contributions, the article helps prospective QCA users to utilize the full potential the method offers for social science research.

ABSTRACTThe reviewers' [1] comments generally relate to the design and development of multiple regression‐based appraisal models, a subject area of great promise and open to further research, although somewhat broader than the specific issues addressed in the authors' paper [5]. The purpose of this reply is to briefly restate the nature and conclusions of that paper and to offer comment upon the broader, more important, questions of model development raised by the reviewers.

Cover -- Half Title -- Title -- Copyright -- Contents -- List of Figures -- List of Tables -- About the Authors -- Preface -- 1 Theoretical Basis of Land Value Taxation -- 2 Land Taxation: The Case of Jamaica -- 3 The Local Government Rating System in Fiji -- 4 Land Value Taxation in Kenya -- 5 Property Tax Systems and Rating in New Zealand -- 6 Property Taxation in South Africa -- 7 Land Value Taxation in Western Australia -- 8 Site Value Taxation in Queensland -- 9 Land Value Taxation - Concluding Remarks -- Index.