Test fraud: statistical detection and methodology
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Routledge, Taylor & Francis Group
2014
|
| Ausgabe: | First published |
| Schriftenreihe: | Routledge research in education
114 |
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | 1 Online-Ressource (xvi, 267 Seiten) |
| ISBN: | 9781134650606 1134650604 |
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| 245 | 1 | 0 | |a Test fraud |b statistical detection and methodology |c edited by Neal M. Kingston and Amy K. Clark |
| 250 | |a First published | ||
| 264 | 1 | |a New York |b Routledge, Taylor & Francis Group |c 2014 | |
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| 490 | 1 | |a Routledge research in education |v 114 | |
| 505 | 8 | |a Cover; Title; Copyright; Contents; List of Figures; List of Tables; 1 Introduction; 2 A Brief History of Research on Test Fraud Detection and Prevention; 3 Cheating: Some Ways to Detect it Badly; PART I Similarities in Response Patterns; 4 Relationships of Examinee Pair Characteristics and Item Response Similarity; 5 A Parametric Approach to Detect a Disproportionate Number of Identical Item Responses on a Test; 6 Detection of Non-Independent Test Taking by Similarity Analysis; PART II Macro Level Cheating | |
| 505 | 8 | |a 7 Local Outlier Detection in Data Forensics: Data Mining Approach to Flag Unusual Schools8 Macro Level Systems of Statistical Evidence Indicative of Cheating; 9 A Bayesian Hierarchical Linear Modeling Approach for Detecting Cheating and Aberrance; PART III Answer Changing Behavior; 10 Patterns of Examinee Erasure Behavior for a Large-Scale Assessment; 11 AYP Consequences and Erasure Behavior; 12 An Exploration of Answer Changing Behavior on a Computer-Based High-Stakes Achievement Test; PART IV Detection of Aberrant Responses | |
| 505 | 8 | |a 13 Identifying Non-Effortful Student Behavior on Adaptive Tests: Implications for Test Fraud Detection14 A Method for Measuring Performance Inconsistency by Using Score Differences; PART V Multiple Methods of Detection; 15 Data Forensics: A Compare-and-Contrast Analysis of Multiple Methods; 16 Using Multiple Methods to Detect Aberrant Data; 17 Test Security for Multistage Tests: A Quality Control Perspective; Appendix A; Appendix B; Appendix C; References; Contributors; Index | |
| 505 | 8 | |a There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new gener | |
| 650 | 4 | |a Cheating (Education) / Prevention / Methodology | |
| 650 | 4 | |a Cheating (Education) / Prevention / Statistical methods | |
| 650 | 4 | |a Educational tests and measurements | |
| 650 | 7 | |a EDUCATION / Administration / General |2 bisacsh | |
| 650 | 7 | |a EDUCATION / Organizations & Institutions |2 bisacsh | |
| 650 | 4 | |a Cheating (Education) |x Prevention |x Methodology | |
| 650 | 4 | |a Cheating (Education) |x Prevention |x Statistical methods | |
| 650 | 4 | |a Educational tests and measurements | |
| 700 | 1 | |a Kingston, Neal M. |4 edt | |
| 700 | 1 | |a Clark, Amy K. |4 edt | |
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| author2 | Kingston, Neal M. Clark, Amy K. |
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| author_facet | Kingston, Neal M. Clark, Amy K. |
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| contents | Cover; Title; Copyright; Contents; List of Figures; List of Tables; 1 Introduction; 2 A Brief History of Research on Test Fraud Detection and Prevention; 3 Cheating: Some Ways to Detect it Badly; PART I Similarities in Response Patterns; 4 Relationships of Examinee Pair Characteristics and Item Response Similarity; 5 A Parametric Approach to Detect a Disproportionate Number of Identical Item Responses on a Test; 6 Detection of Non-Independent Test Taking by Similarity Analysis; PART II Macro Level Cheating 7 Local Outlier Detection in Data Forensics: Data Mining Approach to Flag Unusual Schools8 Macro Level Systems of Statistical Evidence Indicative of Cheating; 9 A Bayesian Hierarchical Linear Modeling Approach for Detecting Cheating and Aberrance; PART III Answer Changing Behavior; 10 Patterns of Examinee Erasure Behavior for a Large-Scale Assessment; 11 AYP Consequences and Erasure Behavior; 12 An Exploration of Answer Changing Behavior on a Computer-Based High-Stakes Achievement Test; PART IV Detection of Aberrant Responses 13 Identifying Non-Effortful Student Behavior on Adaptive Tests: Implications for Test Fraud Detection14 A Method for Measuring Performance Inconsistency by Using Score Differences; PART V Multiple Methods of Detection; 15 Data Forensics: A Compare-and-Contrast Analysis of Multiple Methods; 16 Using Multiple Methods to Detect Aberrant Data; 17 Test Security for Multistage Tests: A Quality Control Perspective; Appendix A; Appendix B; Appendix C; References; Contributors; Index There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new gener |
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| dewey-full | 371.5/8 371.58 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 371 - Schools and their activities; special education |
| dewey-raw | 371.5/8 371.58 |
| dewey-search | 371.5/8 371.58 |
| dewey-sort | 3371.5 18 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik |
| edition | First published |
| format | Electronic eBook |
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| id | DE-604.BV042735266 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:08:30Z |
| institution | BVB |
| isbn | 9781134650606 1134650604 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 267 Seiten) |
| psigel | ZDB-4-NLEBK ZDB-4-NLEBK TUM_PDA_EBSCO_EDU_Kauf |
| publishDate | 2014 |
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| publisher | Routledge, Taylor & Francis Group |
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| series | Routledge research in education |
| series2 | Routledge research in education |
| spelling | Test fraud statistical detection and methodology edited by Neal M. Kingston and Amy K. Clark First published New York Routledge, Taylor & Francis Group 2014 1 Online-Ressource (xvi, 267 Seiten) txt rdacontent c rdamedia cr rdacarrier Routledge research in education 114 Cover; Title; Copyright; Contents; List of Figures; List of Tables; 1 Introduction; 2 A Brief History of Research on Test Fraud Detection and Prevention; 3 Cheating: Some Ways to Detect it Badly; PART I Similarities in Response Patterns; 4 Relationships of Examinee Pair Characteristics and Item Response Similarity; 5 A Parametric Approach to Detect a Disproportionate Number of Identical Item Responses on a Test; 6 Detection of Non-Independent Test Taking by Similarity Analysis; PART II Macro Level Cheating 7 Local Outlier Detection in Data Forensics: Data Mining Approach to Flag Unusual Schools8 Macro Level Systems of Statistical Evidence Indicative of Cheating; 9 A Bayesian Hierarchical Linear Modeling Approach for Detecting Cheating and Aberrance; PART III Answer Changing Behavior; 10 Patterns of Examinee Erasure Behavior for a Large-Scale Assessment; 11 AYP Consequences and Erasure Behavior; 12 An Exploration of Answer Changing Behavior on a Computer-Based High-Stakes Achievement Test; PART IV Detection of Aberrant Responses 13 Identifying Non-Effortful Student Behavior on Adaptive Tests: Implications for Test Fraud Detection14 A Method for Measuring Performance Inconsistency by Using Score Differences; PART V Multiple Methods of Detection; 15 Data Forensics: A Compare-and-Contrast Analysis of Multiple Methods; 16 Using Multiple Methods to Detect Aberrant Data; 17 Test Security for Multistage Tests: A Quality Control Perspective; Appendix A; Appendix B; Appendix C; References; Contributors; Index There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new gener Cheating (Education) / Prevention / Methodology Cheating (Education) / Prevention / Statistical methods Educational tests and measurements EDUCATION / Administration / General bisacsh EDUCATION / Organizations & Institutions bisacsh Cheating (Education) Prevention Methodology Cheating (Education) Prevention Statistical methods Kingston, Neal M. edt Clark, Amy K. edt Erscheint auch als Druck-Ausgabe, Hardcover 978-0-415-71124-1 Routledge research in education 114 (DE-604)BV041852287 114 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=806287 Aggregator Volltext |
| spellingShingle | Test fraud statistical detection and methodology Routledge research in education Cover; Title; Copyright; Contents; List of Figures; List of Tables; 1 Introduction; 2 A Brief History of Research on Test Fraud Detection and Prevention; 3 Cheating: Some Ways to Detect it Badly; PART I Similarities in Response Patterns; 4 Relationships of Examinee Pair Characteristics and Item Response Similarity; 5 A Parametric Approach to Detect a Disproportionate Number of Identical Item Responses on a Test; 6 Detection of Non-Independent Test Taking by Similarity Analysis; PART II Macro Level Cheating 7 Local Outlier Detection in Data Forensics: Data Mining Approach to Flag Unusual Schools8 Macro Level Systems of Statistical Evidence Indicative of Cheating; 9 A Bayesian Hierarchical Linear Modeling Approach for Detecting Cheating and Aberrance; PART III Answer Changing Behavior; 10 Patterns of Examinee Erasure Behavior for a Large-Scale Assessment; 11 AYP Consequences and Erasure Behavior; 12 An Exploration of Answer Changing Behavior on a Computer-Based High-Stakes Achievement Test; PART IV Detection of Aberrant Responses 13 Identifying Non-Effortful Student Behavior on Adaptive Tests: Implications for Test Fraud Detection14 A Method for Measuring Performance Inconsistency by Using Score Differences; PART V Multiple Methods of Detection; 15 Data Forensics: A Compare-and-Contrast Analysis of Multiple Methods; 16 Using Multiple Methods to Detect Aberrant Data; 17 Test Security for Multistage Tests: A Quality Control Perspective; Appendix A; Appendix B; Appendix C; References; Contributors; Index There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new gener Cheating (Education) / Prevention / Methodology Cheating (Education) / Prevention / Statistical methods Educational tests and measurements EDUCATION / Administration / General bisacsh EDUCATION / Organizations & Institutions bisacsh Cheating (Education) Prevention Methodology Cheating (Education) Prevention Statistical methods |
| title | Test fraud statistical detection and methodology |
| title_auth | Test fraud statistical detection and methodology |
| title_exact_search | Test fraud statistical detection and methodology |
| title_full | Test fraud statistical detection and methodology edited by Neal M. Kingston and Amy K. Clark |
| title_fullStr | Test fraud statistical detection and methodology edited by Neal M. Kingston and Amy K. Clark |
| title_full_unstemmed | Test fraud statistical detection and methodology edited by Neal M. Kingston and Amy K. Clark |
| title_short | Test fraud |
| title_sort | test fraud statistical detection and methodology |
| title_sub | statistical detection and methodology |
| topic | Cheating (Education) / Prevention / Methodology Cheating (Education) / Prevention / Statistical methods Educational tests and measurements EDUCATION / Administration / General bisacsh EDUCATION / Organizations & Institutions bisacsh Cheating (Education) Prevention Methodology Cheating (Education) Prevention Statistical methods |
| topic_facet | Cheating (Education) / Prevention / Methodology Cheating (Education) / Prevention / Statistical methods Educational tests and measurements EDUCATION / Administration / General EDUCATION / Organizations & Institutions Cheating (Education) Prevention Methodology Cheating (Education) Prevention Statistical methods |
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| work_keys_str_mv | AT kingstonnealm testfraudstatisticaldetectionandmethodology AT clarkamyk testfraudstatisticaldetectionandmethodology |