Logistic regression analysis : exploring how states adopt counterterrorism legislation /
The case study examines what factors drive countries to adopt new counterterrorism legislation. The proliferation of new counterterrorism laws after September 11 made many experts question how countries decide to legislate. According to a common assumption, states produce new counterterrorism legisl...
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| Format: | eBook |
| Language: | English |
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London :
SAGE Publications Ltd,
2019.
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| Series: | SAGE Research Methods. Cases.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The case study examines what factors drive countries to adopt new counterterrorism legislation. The proliferation of new counterterrorism laws after September 11 made many experts question how countries decide to legislate. According to a common assumption, states produce new counterterrorism legislation in response to the direct terrorist threat. However, after September 11, alternative explanations surfaced, but very little empirical research followed to probe the issue. When I conducted the study in 2013, virtually no research had focused on the empirical testing of factors related to state decisions to legislate. Partially, this was due to the lack of data. I collected an original dataset of country-level counterterrorism legislation. I recorded counterterrorism laws for 193 countries and analyzed the data with the help of logistic regression analysis. This case study examines the use of logistic regression models. I discuss the process of data collection and the challenges associated with it. I review the processes of constructing regression models and overcoming issues related to the lack of data. The case study includes lessons learnt relevant for logistic regression analysis and quantitative analysis more broadly. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781526475961 1526475960 |