Applying Benford's Law for assessing the validity of social science data:
Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of con...
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| Hauptverfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom
Cambridge University Press
2023
|
| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 UBG01 UEI01 Volltext |
| Zusammenfassung: | Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised. |
| Beschreibung: | 1 Online-Ressource (xv, 207 Seiten) Diagramme |
| ISBN: | 9781009127950 |
| DOI: | 10.1017/9781009127950 |
Internformat
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| 520 | 3 | |a Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised. | |
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Datensatz im Suchindex
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| author | Long, Michael A. Stretesky, Paul B. 1967- Berry, Kenneth J. Johnston, Janis E. 1957- Lynch, Michael J. |
| author_GND | (DE-588)1041246234 (DE-588)171749510 (DE-588)1105489388 (DE-588)1105494063 (DE-588)1041246307 |
| author_facet | Long, Michael A. Stretesky, Paul B. 1967- Berry, Kenneth J. Johnston, Janis E. 1957- Lynch, Michael J. |
| author_role | aut aut aut aut aut |
| author_sort | Long, Michael A. |
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| dewey-full | 300.72/7 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
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| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| discipline_str_mv | Soziologie |
| doi_str_mv | 10.1017/9781009127950 |
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| id | DE-604.BV049570453 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:30:27Z |
| indexdate | 2024-07-10T10:10:58Z |
| institution | BVB |
| isbn | 9781009127950 |
| language | English |
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| physical | 1 Online-Ressource (xv, 207 Seiten) Diagramme |
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| spelling | Long, Michael A. Verfasser (DE-588)1041246234 aut Applying Benford's Law for assessing the validity of social science data Michael A. Long (Oklahoma State University), Paul B. Stretesky (University of Lincoln), Kenneth J. Berry (Colorado State University), Janis E. Johnston (US Government), Michael J. Lynch (University of South Florida) Cambridge, United Kingdom Cambridge University Press 2023 1 Online-Ressource (xv, 207 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised. Social sciences / Statistical methods Distribution (Probability theory) Quantitative research / Evaluation Stretesky, Paul B. 1967- Verfasser (DE-588)171749510 aut Berry, Kenneth J. Verfasser (DE-588)1105489388 aut Johnston, Janis E. 1957- Verfasser (DE-588)1105494063 aut Lynch, Michael J. Verfasser (DE-588)1041246307 aut Erscheint auch als Druck-Ausgabe, Hardcover 978-1-009-12307-5 Erscheint auch als Druck-Ausgabe, Paperback 978-1-009-12424-9 https://doi.org/10.1017/9781009127950 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Long, Michael A. Stretesky, Paul B. 1967- Berry, Kenneth J. Johnston, Janis E. 1957- Lynch, Michael J. Applying Benford's Law for assessing the validity of social science data |
| title | Applying Benford's Law for assessing the validity of social science data |
| title_auth | Applying Benford's Law for assessing the validity of social science data |
| title_exact_search | Applying Benford's Law for assessing the validity of social science data |
| title_exact_search_txtP | Applying Benford's Law for assessing the validity of social science data |
| title_full | Applying Benford's Law for assessing the validity of social science data Michael A. Long (Oklahoma State University), Paul B. Stretesky (University of Lincoln), Kenneth J. Berry (Colorado State University), Janis E. Johnston (US Government), Michael J. Lynch (University of South Florida) |
| title_fullStr | Applying Benford's Law for assessing the validity of social science data Michael A. Long (Oklahoma State University), Paul B. Stretesky (University of Lincoln), Kenneth J. Berry (Colorado State University), Janis E. Johnston (US Government), Michael J. Lynch (University of South Florida) |
| title_full_unstemmed | Applying Benford's Law for assessing the validity of social science data Michael A. Long (Oklahoma State University), Paul B. Stretesky (University of Lincoln), Kenneth J. Berry (Colorado State University), Janis E. Johnston (US Government), Michael J. Lynch (University of South Florida) |
| title_short | Applying Benford's Law for assessing the validity of social science data |
| title_sort | applying benford s law for assessing the validity of social science data |
| url | https://doi.org/10.1017/9781009127950 |
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